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[{"id":0,"href":"/OpenBBTerminal/terminal/stocks/options/pricing/","title":"Introduction to the Options Pricing Submenu","parent":"Introduction to the Options Menu","content":"This set of features is for composing hypothetical outcomes through user-defined inputs. There are two columns of inputs:\n price - the price for the underlying at the close on expiration. probability - the statistical probability of the outcome, where 1 = 100% \u0026amp; probability always = 1. The Pricing submenu is accessible after selecting an expiration date for the options chain. Type, pricing, and press enter for access.\nHow to use the Pricing Submenu Use the add command to build the list, and use the rmv command to take away any entries.\nshow will print a table of the inputs. Multiple price points can be added, assuming that probability always sums at 100%.\nExamples Adding the optional argument, -p, will calculate the puts in the chain.\nRemoving the risk-free rate variable makes a substantial difference to the calculated value of an option. With monetary policy on the move, this is an important variable to consider as financial conditions change.\nRFR as 0 for call options\nBack to Introduction to the Options Menu\n"},{"id":1,"href":"/OpenBBTerminal/terminal/stocks/options/","title":"Introduction to the Options Menu","parent":"Introduction to Stocks","content":"The Options menu provides the user with a comprehensive set of tools for analyzing equity options. This guide provides an overview of the menu and demonstrates commands in context. Using this menu correctly will require understanding terminology and math specific to the asset class. Wikipedia is a great resource for definitions and for learning about the mechanics of derivatives, read it here. These are complex, leveraged, financial instruments requiring specialized knoweledge and a different frame-of-mind than the approach of an equities long-only investor. Always conduct thorough due diligence.\nSubmenus Available At the bottom of the menu, and near the top, there are items prefaced with \u0026gt;. Like everywhere else in the OpenBB Terminal, this indicates the presence of a submenu.\n screen is a dedicated options screener that uses .ini files from the local installation folder /OpenBBTerminal/openbb_terminal/stocks/options/presets/. Refer to the Options Screener Guide here.\n pricing is another method for calculating options prices. See the guide for this submenu here.\n hedge is a group of features for calculating a delta-neutral position. The guide for this submenu is located here.\n How to use the Options Menu Navigate to the menu by typing options, from the Stocks menu, and then pressing enter. Alternatively, absolute path navigation can jump straight there, from anywhere. /stocks/options\nMarket Coverage and Data Sources At the time of writing, OpenBB is able to provide coverage only for US-listed equity and ETF options. While not officially supported, some additional markets and index options may be accessible with yFinance as the source. Coverage will be added as the product grows to incorporate more community contributions but, for now, it is safe to generalize equity options as referring to US-listed companies on a major exchange and are priced in $USD.\n By default, the Terminal loads a ticker using Tradier as the source. It\u0026rsquo;s not perfect but the price is right. Sign up for a free developer account and then enter that token using the keys function. Alternatively, there is a choice to use yFinance data sets by attaching the argument as shown below. Help dialogues are displayed for any command by adding -h to the string. It is worth noting that this load command is different than the load command elsewhere.\n(🦋) /stocks/options/ $ load -h usage: load [-t TICKER] [-s {tr,yf}] [-h] Load a ticker into option menu optional arguments: -t TICKER, --ticker TICKER Stock ticker (default: None) -s {tr,yf}, --source {tr,yf} Source to get option expirations from (default: None) -h, --help show this help message (default: False) Having the working foundation of knowledge will make most commands, as pictured above, somewhat intuitive. -h is attachable to any command to print the help dialogue in the Terminal. Refer to the user documentation for details on any individual feature. Browse the commands on the left side of the page to read about any particular command.\nExamples To begin, a ticker must be loaded with an expiration date selected. Enter these commands to display the list of expiration dates for AAPL options chains.\n(🦋) /stocks/options/ $ load aapl (🦋) /stocks/options/ $ exp Available expiry dates ┏━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ Identifier ┃ Date ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ 0 │ 2022-05-20 │ ├────────────┼────────────┤ │ 1 │ 2022-05-27 │ ├────────────┼────────────┤ │ 2 │ 2022-06-03 │ ├────────────┼────────────┤ │ 3 │ 2022-06-10 │ ├────────────┼────────────┤ │ 4 │ 2022-06-17 │ ├────────────┼────────────┤ │ 5 │ 2022-06-24 │ ├────────────┼────────────┤ │ 6 │ 2022-07-01 │ ├────────────┼────────────┤ │ 7 │ 2022-07-15 │ ├────────────┼────────────┤ │ 8 │ 2022-08-19 │ ├────────────┼────────────┤ │ 9 │ 2022-09-16 │ ├────────────┼────────────┤ │ 10 │ 2022-10-21 │ ├────────────┼────────────┤ │ 11 │ 2022-11-18 │ ├────────────┼────────────┤ │ 12 │ 2022-12-16 │ ├────────────┼────────────┤ │ 13 │ 2023-01-20 │ ├────────────┼────────────┤ │ 14 │ 2023-03-17 │ ├────────────┼────────────┤ │ 15 │ 2023-06-16 │ ├────────────┼────────────┤ │ 16 │ 2023-09-15 │ ├────────────┼────────────┤ │ 17 │ 2024-01-19 │ ├────────────┼────────────┤ │ 18 │ 2024-06-21 │ └────────────┴────────────┘ Choose an expiration date with the corresponding Identifier value on the left.\n(🦋) /stocks/options/ $ exp 16 Expiration set to 2023-09-15 Setting the chain for analysis will change the text colour at the bottom of the Options menu. These commands require loaded data.\nThe info command displays a table of notable statistics.\n(🦋) /stocks/options/ $ info Options Information ┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ Info ┃ Value ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ Implied Volatility │ 38.07% ( -1.48%) │ ├───────────────────────┼─────────────────────────┤ │ Historical Volatility │ 42.90% │ ├───────────────────────┼─────────────────────────┤ │ IV Percentile │ 95% │ ├───────────────────────┼─────────────────────────┤ │ IV Rank │ 78.41% │ ├───────────────────────┼─────────────────────────┤ │ IV High │ 43.37% on 04/26/22 │ ├───────────────────────┼─────────────────────────┤ │ IV Low │ 18.80% on 06/11/21 │ ├───────────────────────┼─────────────────────────┤ │ Put/Call Vol Ratio │ 0.81 │ ├───────────────────────┼─────────────────────────┤ │ Today's Volume │ 2,045,793 │ ├───────────────────────┼─────────────────────────┤ │ Volume Avg (30-Day) │ 1,293,501 │ ├───────────────────────┼─────────────────────────┤ │ Put/Call OI Ratio │ 0.88 │ ├───────────────────────┼─────────────────────────┤ │ Today's Open Interest │ 8,226,541 │ ├───────────────────────┼─────────────────────────┤ │ Open Int (30-Day) │ 7,576,733 │ └───────────────────────┴─────────────────────────┘ An adjustable-period put/call ratio chart is called according to the timeline selected by the user.\n Length of 180 days:\n (🦋) /stocks/options/ $ pcr 180 Length of 90 days:\n (🦋) /stocks/options/ $ pcr 90 Length of 30 days:\n (🦋) /stocks/options/ $ pcr 30 Length of 10 days:\n (🦋) /stocks/options/ $ pcr 10 The chain\u0026rsquo;s open interest and current volume can be visualized with, voi\n(🦋) /stocks/options/ $ voi The chains command will display pricing, volume, open interest, and greeks data as a snapshot.\n(🦋) /stocks/options/ $ chains Narrow the focus with min/max filters:\n(🦋) /stocks/options/ $ chains -m 50 -M 100 Additional Greeks are accessible through the command, greeks\n(🦋) /stocks/options/ $ greeks See the effects of monetary policy by adjusting for the risk-free rate of return, and factor in dividend payments.\nInvestopedia\n\u0026quot;Credit spreads naturally carry a positive theta, meaning they benefit from the passage of time.\u0026quot; (🦋) /stocks/options/ $ greeks -d 0.67 -r 1 -m 50 -M 200 -a Greeks for Apple Sep/23 calls, using a RFR of 1% and dividend yield of 0.67%\nbinom will calculate options values using binomial pricing models.\nDisplay a probabilities distribution chart using the optional argument --plot\n(🦋) /stocks/options/ $ binom --plot Visualize the volume of puts and calls in a chain with vol\n(🦋) /stocks/options/ $ vol -m 0 -M 250 Plot the open interest in a similar fashion with oi\n(🦋) /stocks/options/ $ oi Historical OHLC pricing for individual contracts can be viewed with hist\n(🦋) /stocks/options/ $ hist -p -s 70 Plot the hisotorical greek data with, grhist\n(🦋) /stocks/options/ $ grhist -s 70 -p -g rho plot gives the user flexibility to chart different variables.\n(🦋) /stocks/options/ $ plot -p -x ltd -y s Show the volatility surface of the entire chain using the command, vsurf\n(🦋) /stocks/options/ $ vsurf Additional Resources for Equity Options Introduction to the Options Screener\nIntroduction to the Options Hedge Menu\nInvestopedia\u0026rsquo;s Options Basics Tutorial\n"},{"id":2,"href":"/OpenBBTerminal/terminal/stocks/options/hedge/","title":"Introduction to the Hedge Submenu","parent":"Introduction to the Options Menu","content":"The Hedge menu is designed to help the user calculate positions within the selected expiration chain to be directionally neutral. It is worth reviewing reference material, such as Wikipedia or Investopedia, before using this feature set.\nEnter the submenu after choosing the desired expiration date by using the command, hedge, from the Options menu.\nHow to use the Hedge Submenu The first step is to pick the underlying position for the calculation. Scroll the list populated by autocomplete, or type in the choice.\nThe strike prices for puts and calls are shown with the list command. Use this table to add or remove options from the calculation.\nAdd the first option with the corresponding index number for the strike price, attaching flags for a put and for short, -s \u0026amp; -p.\nThe rmv command removes added options. With an underlying position and two positions added, sop will display the results based on the inputs provided.\nplot will display an options payoff chart, using the provided values.\nExamples Substituting Option A for a different trade.\nSubstuting Option B from the same example above.\nMoving Option B down one strike.\nBack to: Introduction To Options\n"},{"id":3,"href":"/OpenBBTerminal/terminal/stocks/discovery/","title":"Introduction to Stocks Discovery","parent":"Introduction to Stocks","content":"The set of features within the Stocks Discovery submenu provides tools for discovering trade setups, for following trends, and for staying up with current events. Enter the menu from the stocks menu by typing, disc, and pressing, ENTER (⏎). Absolute path jumping is possible from anywhere, to anywhere. For example, jumping from the Portfolio Optimization submenu to the Stocks Discovery submenu:\n\nTo use all commands in the Discovery menu, the following (free) API keys are required:\n Quandl Finnhub See the Getting Started Guide for setting API keys in the OpenBB Terminal.\nHow to use The help dialogue, for any command, is displayed by attaching, -h, to the string; i.e., divcal -h. This menu will be one of the easiest to get comfortable with a command-line interface. All outputs from commands in this menu are text and tables. There are no charts or images generated. Exports, where available, can be formatted as csv, json, or xlsx files. Watch this short demonstration of all features in this menu:\n\nExamples The dividend calendar can show any single date.\n(🦋) /stocks/disc/ $ divcal -d 2022-06-02 -l 25 \nSee Cathie Wood\u0026rsquo;s trades and sort by different fields such as Fund, weighting, buy-only, or sell-only.\n\nCheck the upcoming earnings schedule using, upcoming:\n\nBrowse the news by category from Seeking Alpha with cnews:\n\n"},{"id":4,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/","title":"Introduction to Comparison Analysis","parent":"Introduction to Stocks","content":"The Comparison Analysis menu provides the user with tools for:\n searching and populating a list of companies that are similar to the loaded ticker. building a correlation matrix. comparing the price and volume history of multiple companies. comparing financial statements, technical performance, and ownership statistics of otherwise similar companies. comparing sentiment of similar companies. building a list of companies to use features from the Portfolio Optimization menu. To use all features in this menu, the following API keys (free) must be obtained by the user:\n Finnhub getfinnhub Polygon getpoly It is not necessary to load a ticker from the stocks menu to use these features. Enter the Comparison Analysis submenu by typing ca and pressing ENTER (⏎).\n\nHow to use To add a primary ticker, or to swap it for another, enter ticker AMZN. The three commands: getfinnhub, getpoly and getfinviz all provide a similar function. Sources may return different results.\n(🦋) /stocks/ca/ $ getfinviz [Finviz] Similar Companies: WMT, BIG, BJ, COST, DG, DLTR, OLLI, PSMT, TGT, TUEM (🦋) /stocks/ca/ $ getpoly [Polygon] Similar Companies: WMT, AMZN, COST, EBAY, DLTR, KSS, JCP, TGT, M, DG (🦋) /stocks/ca/ $ getfinnhub [Finnhub] Similar Companies: WMT, COST, BJ, PSMT Using any of these commands will automatically populate the list of similar companies for analysis. Furthermore, add \u0026amp; rmv allows the user to make modifications, or create a list from scratch.\n\nTo show a correlation matrix, use the hcorr command. The start dates can be modified, which changes the results, to show correlation over different periods. For example, obtain a one year correlation matrix with hcorr:\n\nOr, by adjusting the date, it is possible to define a correlation matrix with a different time horizon, e.g hcorr -s 2022-01-01:\n\nThe list of similar companies can be compared by a number of fundamental metrics.\nvaluation displays earnings and valuation multiples. \nperformance compares technical performance of similar companies: \nsentiment is a chart from Finbrain that shows sentiment over the last ten days. \nThis list of similar companies can be imported directly to the Portfolio Optimization menu by using the command, po. \nExamples The correlation matrix can also be used in other ways, like measuring sectors or asset classes. The chart below is a daily, price-normalized, comparison of S\u0026amp;P, NASDAQ, and BTC futures.\n(🦋) /stocks/ca/ $ add es=f [Custom] Similar Companies: ES=F, NQ=F, BTC=F (🦋) /stocks/ca/ $ historical -n \nThis is a chart of the NASDAQ 100 Index, and three different futures contracts that are trading against it.\n(🦋) /stocks/ca/ $ set ^NDX,NQH23.CME,NQZ22.CME,NQ=F [Custom] Similar Companies: ^NDX, NQH23.CME, NQZ22.CME, NQ=F (🦋) /stocks/ca/ $ historical \nCompare financial statements of the ten largest US banks.\n(🦋) /stocks/ca/ $ set C,USB,WFC,JPM,TD,GS,PNC,TFC,BAC,COF [Custom] Similar Companies: C, USB, WFC, JPM, TD, COF, PNC, TFC, BAC, GS (🦋) /stocks/ca/ $ cashflow \nCompare the income statements.\n(🦋) /stocks/ca/ $ income \nTo run a demonstration of the commands presented here, in the OpenBB Terminal, run this command from the home menu: exe routines/comparison_demo.openbb\n"},{"id":5,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/","title":"Introduction to the Behavioural Analysis","parent":"Common","content":"The Behavioural Analysis menu offers the user tools for gauging the overall public sentiment of a company online. The complexity of the tools range from message board scrapers to deep learning algorithms for financial analysis and prediction. Sentiment is particularly useful for momentum trading strategies, discovery, and general fundamental research. Navigate into the menu from the Stocks menu by entering, ba; or, using absolute paths from anywhere in the Terminal: /stocks/ba\n\nHow to use The commands with Light Blue text, representing commands, do not require a ticker, faded commands will turn light blue when there is a ticker loaded.\n(🦋) /stocks/ba/ $ load gme Loading Daily GME stock with starting period 2019-05-20 for analysis. Datetime: 2022 May 23 12:13 Timezone: America/New_York Currency: USD Market: CLOSED Company: GameStop Corporation (🦋) /stocks/ba/ $ ? \nSome data sources will require a valid API key, which can be obtained for free and then set using the Keys menu. To use all the features in this menu, obtain free API keys from these providers:\n Finnhub\n Twitter\n Reddit\n Sentiment Investor\n See the Getting Started Guide for help setting API keys in the Terminal.\nExamples As with every command, using the -h argument displays the help dialogue. Running the headlines command returns the following:\n(🦋) /stocks/ba/ $ headlines \nAlternatively, running the snews command returns the following:\n(🦋) /stocks/ba/ $ snews \nThe Reddit functions will return popular tickers and posts, or measure sentiment for a particular stock. An example would be by looking at the threads that pop up on /r/wallstreetbets, famous for the GameStop short squeeze:\n(🦋) /stocks/ba/ $ wsb 2022-05-23 10:00:12 - Daily Discussion Thread for May 23, 2022 https://old.reddit.com/r/wallstreetbets/comments/uvwq8z/daily_discussion_thread_for_may_23_2022/ Reddit Submission ┏━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ Subreddit ┃ Flair ┃ Score ┃ # Comments ┃ Upvote % ┃ Awards ┃ ┡━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━┩ │ wallstreetbets │ Daily Discussion │ 195 │ 9168 │ 88% │ 3 Silver │ │ │ │ │ │ │ 2 Helpful │ │ │ │ │ │ │ 1 Wholesome │ │ │ │ │ │ │ 1 Got the │ └────────────────┴──────────────────┴───────┴────────────┴──────────┴─────────────┘ 2022-05-21 11:34:21 - Most Anticipated Earnings Releases for the week beginning May 23rd, 2022 https://old.reddit.com/r/wallstreetbets/comments/uul9fs/most_anticipated_earnings_releases_for_the_week/ Reddit Submission ┏━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓ ┃ Subreddit ┃ Flair ┃ Score ┃ # Comments ┃ Upvote % ┃ Awards ┃ ┡━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩ │ wallstreetbets │ Earnings Thread │ 960 │ 1325 │ 97% │ 1 Silver │ │ │ │ │ │ │ 5 Helpful │ │ │ │ │ │ │ 3 Wholesome │ │ │ │ │ │ │ 1 Take My Energy │ │ │ │ │ │ │ 1 Sne │ └────────────────┴─────────────────┴───────┴────────────┴──────────┴──────────────────┘ \u0026lt;continues\u0026gt; The Behavioural Analysis menu also has the ability to scan for sentiment on multiple platforms including Twitter and Google with sentiment, infer and queries.\n(🦋) /stocks/ba/ $ sentiment -c From 2022-05-23 retrieving 360 tweets (15 tweets/hour) From 2022-05-22 retrieving 360 tweets (15 tweets/hour) From 2022-05-21 retrieving 360 tweets (15 tweets/hour) From 2022-05-20 retrieving 360 tweets (15 tweets/hour) From 2022-05-19 retrieving 360 tweets (15 tweets/hour) From 2022-05-18 retrieving 360 tweets (15 tweets/hour) From 2022-05-17 retrieving 360 tweets (15 tweets/hour) (🦋) /stocks/ba/ $ infer From: 2022-05-23 18:21:12 To: 2022-05-23 18:30:36 100 tweets were analyzed. Frequency of approx 1 tweet every 6 seconds. The summed compound sentiment of GME is: 18.42 The average compound sentiment of GME is: 0.18 Of the last 100 tweets, 41.00 % had a higher positive sentiment Of the last 100 tweets, 19.00 % had a higher negative sentiment (🦋) /stocks/ba/ $ queries Top GME's related queries ┏━━━━━━━━━━━━━━━━━┳━━━━━━━┓ ┃ query ┃ value ┃ ┡━━━━━━━━━━━━━━━━━╇━━━━━━━┩ │ stock gme │ 100% │ ├─────────────────┼───────┤ │ amc │ 29% │ ├─────────────────┼───────┤ │ amc stock │ 24% │ ├─────────────────┼───────┤ │ gme price │ 23% │ ├─────────────────┼───────┤ │ gme stock price │ 14% │ ├─────────────────┼───────┤ │ gme share │ 7% │ ├─────────────────┼───────┤ │ gme share price │ 6% │ ├─────────────────┼───────┤ │ reddit │ 6% │ ├─────────────────┼───────┤ │ gme reddit │ 6% │ ├─────────────────┼───────┤ │ bb │ 5% │ └─────────────────┴───────┘ The sentiment command returns the following:\n\nMore advanced techniques can also be applied by using tools from Sentiment Investor that analyzes millions of messages to show the most talked about stocks by hour. This has the ability to show the most trending tickers with trend and historical sentiment data with hist.\n(🦋) /stocks/ba/ $ trend Most trending stocks at 2022-05-23 00:00 ┏━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━┓ ┃ TICKER ┃ TOTAL ┃ LIKES ┃ RHI ┃ AHI ┃ ┡━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━┩ │ SPY │ 89.00 │ 43.00 │ 1.22 │ 1.26 │ ├────────┼───────┼────────┼──────┼──────┤ │ AMC │ 80.00 │ 155.00 │ 1.07 │ 1.18 │ ├────────┼───────┼────────┼──────┼──────┤ │ TSLA │ 80.00 │ 78.00 │ 1.07 │ 1.34 │ ├────────┼───────┼────────┼──────┼──────┤ │ BTC │ 62.00 │ 74.00 │ 1.14 │ 1.09 │ ├────────┼───────┼────────┼──────┼──────┤ │ NIO │ 50.00 │ 14.00 │ 1.17 │ 1.15 │ ├────────┼───────┼────────┼──────┼──────┤ │ AAPL │ 28.00 │ 4.00 │ 0.66 │ 0.75 │ ├────────┼───────┼────────┼──────┼──────┤ │ AMD │ 26.00 │ 59.00 │ 0.57 │ 0.61 │ ├────────┼───────┼────────┼──────┼──────┤ │ NVAX │ 13.00 │ 4.00 │ 0.47 │ 0.40 │ ├────────┼───────┼────────┼──────┼──────┤ │ NVDA │ 12.00 │ 11.00 │ 0.45 │ 0.47 │ ├────────┼───────┼────────┼──────┼──────┤ │ DIS │ 12.00 │ 1.00 │ 0.69 │ 0.44 │ └────────┴───────┴────────┴──────┴──────┘ (🦋) /stocks/ba/ $ hist -s 2022-05-01 \nInspired by the Twitter user, @cramertracker, the final two features follow (CNBC Talking Head) Jim Cramer stock recommendations as satire that rings true.\n(🦋) /stocks/ba/ $ jcdr Jim Cramer Recommendations for 05/19 ┏━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ Company ┃ Symbol ┃ Price ┃ LastPrice ┃ Change (%) ┃ Recommendation ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ Apple │ AAPL │ 137.35 │ 142.38 │ 3.53 │ Buy │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ AeroVironment │ AVAV │ 85.35 │ 85.49 │ 0.16 │ Buy │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Alibaba │ BABA │ 87.69 │ 87.04 │ -0.75 │ Sell │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Constellation Energy │ CEG │ 57.23 │ 56.92 │ -0.54 │ Buy │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Costco │ COST │ 422.93 │ 427.93 │ 1.17 │ Buy │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ DraftKings │ DKNG │ 14.15 │ 13.89 │ -1.87 │ Buy │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Lockheed Martin │ LMT │ 425.62 │ 433.71 │ 1.87 │ Buy │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Cloudflare │ NET │ 58.00 │ 56.92 │ -1.90 │ Buy │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Northrop Grumman │ NOC │ 448.50 │ 456.57 │ 1.77 │ Buy │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ NVIDIA │ NVDA │ 171.24 │ 168.29 │ -1.75 │ Buy │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Palo Alto Networks │ PANW │ 436.37 │ 502.69 │ 13.19 │ Buy │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ PLBY Group │ PLBY │ 9.06 │ 9.26 │ 2.16 │ Sell │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Raytheon Technologies │ RTX │ 90.25 │ 91.87 │ 1.76 │ Buy │ ├────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ SoFi Technologies │ SOFI │ 7.75 │ 7.30 │ -6.16 │ Buy │ └────────────────────────┴────────┴────────┴───────────┴────────────┴────────────────┘ \n"},{"id":6,"href":"/OpenBBTerminal/terminal/stocks/tradinghours/","title":"Introduction to Trading Hours","parent":"Introduction to Stocks","content":"This set of features is for checking the operating status of markets globally. To access the Trading Hours features, enter th from the Stocks menu. Alternatively, a user can access the submenu with absolute path navigation from anywhere in the Terminal: /stocks/th\n\nHow to use A symbol is not required to be loaded. Once in the Trading Hours menu, the operation is simple. Choose from: open, closed, all or exchange.\nBelow, examples are given what these commands display, note that the tables are purposely cut off to keep the introduction compact.\n(🦋) /stocks/th/ $ open Open markets ┏━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ name ┃ short_name ┃ ┡━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ FRA │ Frankfurt Stock Exchange │ F │ ├─────┼───────────────────────────────────┼────────────┤ │ STU │ Börse Stuttgart │ SG │ ├─────┼───────────────────────────────────┼────────────┤ │ MUN │ Börse München │ MU │ ├─────┼───────────────────────────────────┼────────────┤ │ DUS │ Börse Düsseldorf │ DU │ ├─────┼───────────────────────────────────┼────────────┤ │ MEX │ Bolsa Mexicana de Valores │ MX │ ├─────┼───────────────────────────────────┼────────────┤ │ FKA │ Frankfurt Stock Exchange │ F │ ├─────┼───────────────────────────────────┼────────────┤ │ NYQ │ New York Stock Exchange │ NYSE │ ├─────┼───────────────────────────────────┼────────────┤ │ VAN │ TSX Venture Exchange │ V │ ├─────┼───────────────────────────────────┼────────────┤ \u0026lt;continues\u0026gt; (🦋) /stocks/th/ $ closed Closed markets ┏━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ name ┃ short_name ┃ ┡━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ SHZ │ Shenzen Stock Exchange │ SHZE │ ├─────┼──────────────────────────────────┼────────────┤ │ KSC │ Korea Exchange │ KRX │ ├─────┼──────────────────────────────────┼────────────┤ │ KOE │ Korea Exchange │ KRX │ ├─────┼──────────────────────────────────┼────────────┤ │ HKG │ Hong Kong Stock Exchange │ HKEX │ ├─────┼──────────────────────────────────┼────────────┤ │ KLS │ Bursa Malaysia │ KLSE │ ├─────┼──────────────────────────────────┼────────────┤ │ ENX │ Euronext │ NX │ ├─────┼──────────────────────────────────┼────────────┤ │ TWO │ Taipei Exchange │ TWO │ ├─────┼──────────────────────────────────┼────────────┤ │ HAM │ Hamburger Börse │ HM │ ├─────┼──────────────────────────────────┼────────────┤ │ TW │ Taiwan Stock Exchange │ TWSE │ ├─────┼──────────────────────────────────┼────────────┤ \u0026lt;continues\u0026gt; (🦋) /stocks/th/ $ all World markets ┏━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━┓ ┃ ┃ name ┃ short_name ┃ open ┃ ┡━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━┩ │ SHZ │ Shenzen Stock Exchange │ SHZE │ False │ ├─────┼───────────────────────────────────┼────────────┼───────┤ │ KSC │ Korea Exchange │ KRX │ False │ ├─────┼───────────────────────────────────┼────────────┼───────┤ │ KOE │ Korea Exchange │ KRX │ False │ ├─────┼───────────────────────────────────┼────────────┼───────┤ │ HKG │ Hong Kong Stock Exchange │ HKEX │ False │ ├─────┼───────────────────────────────────┼────────────┼───────┤ │ KLS │ Bursa Malaysia │ KLSE │ False │ ├─────┼───────────────────────────────────┼────────────┼───────┤ │ FRA │ Frankfurt Stock Exchange │ F │ True │ ├─────┼───────────────────────────────────┼────────────┼───────┤ │ STU │ Börse Stuttgart │ SG │ True │ ├─────┼───────────────────────────────────┼────────────┼───────┤ │ ENX │ Euronext │ NX │ False │ ├─────┼───────────────────────────────────┼────────────┼───────┤ │ TWO │ Taipei Exchange │ TWO │ False │ ├─────┼───────────────────────────────────┼────────────┼───────┤ │ HAM │ Hamburger Börse │ HM │ False │ ├─────┼───────────────────────────────────┼────────────┼───────┤ \u0026lt;continues\u0026gt; Lastly, exchange shows the status of a single venue.\n\nExamples Below an example is given for a symbol and whether that market is open. By calling exchange you can obtain more information about the exchange (e.g. enter BO)\n(🦋) /stocks/th/ $ symbol RY.TO Selected symbol Symbol: RY.TO Name: ROYAL BANK OF CANADA Market open: False (🦋) /stocks/th/ $ symbol FB2.L Selected symbol Symbol: FB2.L Name: LEVERAGE SHARES PUBLIC LIMITED Market open: False (🦋) /stocks/th/ $ exchange BO ┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ ┃ BSE ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ name │ BSE │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ short_name │ BO │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ website │ https://www.bseindia.com/static/markets/equity/EQReports/tra_trading.aspx │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ market_open │ 09:15:00 │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ market_close │ 15:30:00 │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ lunchbreak_start │ None │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ lunchbreak_end │ None │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ opening_auction_start │ None │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ opening_auction_end │ None │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ closing_auction_start │ None │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ closing_auction_end │ None │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ timezone │ Asia/Kolkata │ ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ flag │ 🇮🇳 ├───────────────────────┼───────────────────────────────────────────────────────────────────────────┤ │ open │ False │ └───────────────────────┴───────────────────────────────────────────────────────────────────────────┘ "},{"id":7,"href":"/OpenBBTerminal/terminal/stocks/options/screen/","title":"Introduction to the Options Screener","parent":"Introduction to the Options Menu","content":"The OpenBB options screener is a versatile discovery tool for an options trader. It is powered by the Open Source Community: https://github.com/Tyruiop/syncretism - go give this repository a star!\nThe screener makes use of presets (.ini files) that are stored locally in the OpenBB installation folder.\n~/Applications/OpenBB/openbb_terminal/stocks/options/presets/\nThe file named template.ini is a blank slate and ready for experimentation. There are nearly infinite ways to configure an options search, so customize one and then share it with us on social media! Have a look at the available fields:\n# Author of preset: OpenBB Terminal # Description: This is just a sample. The user that adds the preset can add a description for what type of stocks these filters are being used. [FILTER] # tickers [string]: a list of space or comma separated tickers to restrict or exclude them from the query. # E.g. \u0026quot;GME\u0026quot; or for multiples \u0026quot;AMC\u0026quot;,\u0026quot;BB\u0026quot;,\u0026quot;GME\u0026quot;. tickers = # exclude [true|false]: if true, then tickers are excluded. If false, the search is restricted to these tickers. exclude = # min-diff [int]: minimum difference in percentage between strike and stock price. min-diff = # max-diff [int]: maximum difference in percentage between strike and stock price. max-diff = # itm [bool]: select in the money options. itm = true # otm [bool]: select out of the money options. otm = true # min-ask-bid [float]: minimum spread between bid and ask. min-ask-bid = # max-ask-bid [float]: maximum spread between bid and ask. max-ask-bid = # min-exp [int]: minimum days until expiration. min-exp = # max-exp [int]: maximum days until expiration. max-exp = # min-price [float]: minimum option premium. min-price = # max-price [float]: maximum option premium. max-price = #min-strike [float]: minimum option strike. min-strike = #max-strike [float]: maximum option strike. max-strike = # calls [true|false]: select call options. calls = true # puts [true|false]: select put options. puts = true # stock [true|false]: select normal stocks. stock = # etf [true|false]: select etf options. etf = # min-sto [float]: minimum option price / stock price ratio. min-sto = # max-sto [float]: maximum option price / stock price ratio. max-sto = # min-yield [float]: minimum premium / strike price ratio. min-yield = # max-yield [float]: maximum premium / strike price ratio. max-yield = # min-myield [float]: minimum yield per month until expiration date. min-myield = # max-myield [float]: maximum yield per month until expiration date. max-myield = # min-delta [float]: minimum delta greek. min-delta = # max-delta [float]: maximum delta greek. max-delta = # min-gamma [float]: minimum gamma greek. min-gamma = # max-gamma [float]: maximum gamma greek. max-gamma = # min-theta [float]: minimum theta greek. min-theta = # max-theta [float]: maximum theta greek. max-theta = # min-vega [float]: minimum vega greek. min-vega = # max-vega [float]: maximum vega greek. max-vega = #min-iv [float]: minimum implied volatility. min-iv = #max-iv [float]: maximum implied volatility. max-iv = #min-oi [float]: minimum open interest. min-oi = #max-oi[float]: maximum open interest max-oi = #min-volume [float]: minimum volume. min-volume = #max-volume [float]: maximum volume. max-volume = #min-voi [float]: minimum volume / oi ratio. min-voi = #max-voi [float]: maximum volume / oi ratio. max-voi = # min-cap [float]: minimum market capitalization (in billions USD). min-cap = # max-cap [float]: maximum market capitalization (in billions USD). max-cap = # order-by [default: e_desc]: how to order results, possible values: # e_desc, e_asc: expiration, descending / ascending. # iv_desc, iv_asc: implied volatility, descending / ascending. # lp_desc, lp_asc: lastprice, descending / ascending. # md_desc, md_asc: current stock price, descending / ascending. order-by = # limit [int]: number of results (max 50). limit = # active [true|false]: if set to true, restricts to options for which volume, open interest, ask, and bid are all \u0026gt; 0. active = # [float|int] deviation from the 20 day average min-price-20d = max-price-20d = min-volume-20d = max-volume-20d = min-iv-20d = max-iv-20d = min-delta-20d = max-delta-20d = min-gamma-20d = max-gamma-20d = min-theta-20d = max-theta-20d = min-vega-20d = max-vega-20d = min-rho-20d = max-rho-20d = # [float|int] deviation from the 100 day average min-price-100d = max-price-100d = min-volume-100d = max-volume-100d = min-iv-100d = max-iv-100d = min-delta-100d = max-delta-100d = min-gamma-100d = max-gamma-100d = min-theta-100d = max-theta-100d = min-vega-100d = max-vega-100d = min-rho-100d = max-rho-100d = How to use the Options Screener The commands set and view will show the filters present. The command reads the contents of the preset file every time the command is called, which makes changes fast and easy; simply open it in a text editor.\n(🦋) /stocks/options/screen/ $ set TSLA_Calls_90Days (🦋) /stocks/options/screen/ $ view TSLA_Calls_90Days - FILTER - tickers : \u0026quot;TSLA\u0026quot; exclude : false itm : true otm : true min-exp : 3 max-exp : 90 calls : true puts : true stock : true etf : true min-delta : 0.30 max-delta : 0.65 order-by : \u0026quot;oi_desc\u0026quot; active : true The columns for the output of the screener have been abbreviated to be:\nCS: Contract Symbol; S: Symbol, T: Option Type; Str: Strike; Exp v: Expiration; IV: Implied Volatility; LP: Last Price; B: Bid; A: Ask; V: Volume; OI: Open Interest; Y: Yield; MY: Monthly Yield; SMP: Regular Market Price; SMDL: Regular Market Day Low; SMDH: Regular Market Day High; LU: Last Trade Date; LC: Last Crawl; ITM: In The Money; PC: Price Change; PB: Price-to-book. The default number of results returned is 10, add the -l flag with the number of desired results to change.\nExamples Using the preset, \u0026ldquo;3DTE_Degenerate\u0026rdquo;:\nUsing the preset, \u0026ldquo;SPY_ATM_POOTS\u0026rdquo;:\nThe video below shows the process for building an options screener preset. Any simple text editor will work to make changes. Build a preset and share it with OpenBB on social media!\nBack to: Introduction To Options Guide\n"},{"id":8,"href":"/OpenBBTerminal/bots/discord/","title":"Discord","parent":"OpenBB Bots","content":"Introduction Discord Bot is an easy-to-use and interactive bot for querying stock, options, futures, indices, crypto and more. The confusion in knowing the exact command structure for each feature is no longer a problem because autocomplete guides you through it, which lets you concentrate on the things that really matter - the data.\nGetting started is as easy as entering the slash key in a server where the bot is hosted, or in a DM to GameStonksBot#4609. It takes only minutes to learn how to use, but with a little curiosity, you can get lost for hours exploring all of the possibilities, finding boundless inspiration for new trade ideas. Browse or search the documentation for more detailed information about each feature. A text list containing the variable options unique to that feature is accessible by using: /cmds.\nMore information:\n Here is a short demonstration of the bot in action. Join our Discord to try the bot for free Table of Contents Introduction Getting Started Commands Groups Support Getting Started There are several ways to get started with the bot.\n Join our Discord here and start interacting with the bot. This is recommended because you will be in touch with our community and will benefit from tips and tricks to get faster up-to-speed. Interact directly with the Discord bot by messaging GameStonksBot#4609. Server owners and admins can add the Discord Bot to any server by using this invite link. Alternatively, one can fork the Discord bot here. The user is then able to modify the bot at their own discretion, and the bot can be either run locally or on a privately-hosted server. Instructions for installation through Heroku can be found here. Commands Groups Dd Analyst Arktrades Borrowed Customer Est Pt Sec Supplier Disc Fidelity Tops Ugs Dps Dpotc Ftd Hsi Pos Psi Shorted Sidtc Spos Econ Cpi Currencies Energy Futures Glbonds Grains Indices Meats Metals Overview Performance Repo Softs Usbonds Valuation Etf Disc Tops Holdings by Etf Holdings by Ticker Gov Contracts Gtrades Histcont Lastcontracts Lasttrades Lobbying Qtrcontracts Topbuys Index. Topsells Misc Earnings Futures Ins Last Megashill Moon Options Chain Grhist Hist Info Oi Overview Smile Unu Vol Vsurf Price Btc Candle Eth Quote Sol Screener Financial Overview Ownership Performance Presets Custom Presets Default Technical Valuation Sia Cpic Cps Metrics Ta Ad Adosc Adx Aroon Bbands Cci Cg Donchian Fib Fisher Kc Ma Macd Obv Recom Rsi Stoch Summary View Support Server owners and administrators are able to generate a support request ticket, or report a bug, directly from their server using the command: /support.\nOtherwise, join our Discord and someone from the community will help you!\n"},{"id":9,"href":"/OpenBBTerminal/bots/discord/dd/","title":"Dd","parent":"Discord","content":"Due Dilligence on tickers to increase confidence on a particular company.\nTable of Contents Earnings Estimates SEC Filings Analyst Ratings Company Suppliers Company Customers ARK Portfolio Price Target vs Price "},{"id":10,"href":"/OpenBBTerminal/bots/discord/dd/analyst/","title":"Analyst","parent":"Dd","content":"dd analyst - Recent ratings from analysts.\n/dd analyst ticker: JPM "},{"id":11,"href":"/OpenBBTerminal/bots/discord/dd/arktrades/","title":"Arktrades","parent":"Dd","content":"dd arktrades - Search the Ark portfoliio for individual ticker activity.\n/dd arktrades ticker: HOOD "},{"id":12,"href":"/OpenBBTerminal/bots/discord/dd/borrowed/","title":"Borrowed","parent":"Dd","content":"dd borrowed - Borrow rate and availability of shares for shorting.\n/dd borrowed ticker: GME "},{"id":13,"href":"/OpenBBTerminal/bots/discord/dd/customer/","title":"Customer","parent":"Dd","content":"dd customer - A list of tickers with a customer relationship to the selected stock.\n/dd customer ticker: AA "},{"id":14,"href":"/OpenBBTerminal/bots/discord/dd/est/","title":"Est","parent":"Dd","content":"dd est - Displays earnings estimates from Business Insider\n/dd est ticker: BNS "},{"id":15,"href":"/OpenBBTerminal/bots/discord/dd/pt/","title":"Pt","parent":"Dd","content":"dd pt - Displays a chart with identified price targets.\n/dd pt ticker: BNS start: 2020-01-01 "},{"id":16,"href":"/OpenBBTerminal/bots/discord/dd/sec/","title":"Sec","parent":"Dd","content":"dd sec - Displays filings, with links, for desired company.\n/dd sec ticker: HOOD "},{"id":17,"href":"/OpenBBTerminal/bots/discord/dd/supplier/","title":"Supplier","parent":"Dd","content":"dd supplier - Displays suppliers of the company, from CSIMarket\n/dd supplier ticker: AA "},{"id":18,"href":"/OpenBBTerminal/bots/discord/disc/","title":"Disc","parent":"Discord","content":"Stocks discovery.\nTable of Contents Fidelity Order Flow Undervalued Growth Stocks Top Movers "},{"id":19,"href":"/OpenBBTerminal/bots/discord/disc/fidelity/","title":"Fidelity","parent":"Disc","content":"disc fidelity - Top Fidelity order flow for the day.\n/disc fidelity "},{"id":20,"href":"/OpenBBTerminal/bots/discord/disc/tops/","title":"Tops","parent":"Disc","content":"disc tops - Top gainers, losers, or most active stocks on Yahoo Finance.\n/disc tops sort: Top Losers "},{"id":21,"href":"/OpenBBTerminal/bots/discord/disc/ugs/","title":"Ugs","parent":"Disc","content":"disc ugs - Displays undervalued growth stocks from Yahoo Finance.\n/disc ugs "},{"id":22,"href":"/OpenBBTerminal/bots/discord/dps/","title":"Dps","parent":"Discord","content":"Dark Pools and Short data.\nTable of Contents High \u0026amp; Short Interest Most Shorted Price vs Short Interest Short vs Position Dark Pools vs OTC Short Position Short Interest \u0026amp; Days to Cover Failure-to-deliver "},{"id":23,"href":"/OpenBBTerminal/bots/discord/dps/dpotc/","title":"Dpotc","parent":"Dps","content":"dps dpots - Dark Pool vs OTC volume for a stock, as reported to FINRA.\n/dps dpots ticker: TSLA "},{"id":24,"href":"/OpenBBTerminal/bots/discord/dps/ftd/","title":"Ftd","parent":"Dps","content":"dps ftd - Fail To Deliver for a stock.\n/dps ftd ticker: XRT start: 2021-08-01 end: 2022-02-15 "},{"id":25,"href":"/OpenBBTerminal/bots/discord/dps/hsi/","title":"Hsi","parent":"Dps","content":"dps hsi - Lists stocks with over 20% short interest.\n/dps hsi num: 20 "},{"id":26,"href":"/OpenBBTerminal/bots/discord/dps/pos/","title":"Pos","parent":"Dps","content":"dps pos - Dark Pool Short Position (rolling 20 day cumulative).\n/dps pos sort: DP Position($1B) num: 25 ascending: True "},{"id":27,"href":"/OpenBBTerminal/bots/discord/dps/psi/","title":"Psi","parent":"Dps","content":"dps psi - Displays a graph of Price vs Short Volume recorded through FINRA NMS.\n/dps psi ticker: AMC "},{"id":28,"href":"/OpenBBTerminal/bots/discord/dps/shorted/","title":"Shorted","parent":"Dps","content":"dps shorted - The most shorted stocks listed on Yahoo Finance.\n/dps shorted num: 20 "},{"id":29,"href":"/OpenBBTerminal/bots/discord/dps/sidtc/","title":"Sidtc","parent":"Dps","content":"dps sidtc - Short Interest and Days-To-Cover.\n/dps sidtc sort: Float Short % num: 25 "},{"id":30,"href":"/OpenBBTerminal/bots/discord/dps/spos/","title":"Spos","parent":"Dps","content":"dps spos - FINRA Net Short Volume vs. Rolling 20 Day Net Position.\n/dps spos ticker: TSLA "},{"id":31,"href":"/OpenBBTerminal/bots/discord/econ/","title":"Econ","parent":"Discord","content":"Economy commands, start with /Econ.\nTable of Contents Softs Meats Energy Metals Grains Futures US Bonds Global Bonds Indices Overview Consumer Price Index Currencies Valuation Performance "},{"id":32,"href":"/OpenBBTerminal/bots/discord/econ/cpi/","title":"Cpi","parent":"Econ","content":"econ cpi - US Consumer Price Index.\n/econ cpi start: 2018-01-01 "},{"id":33,"href":"/OpenBBTerminal/bots/discord/econ/currencies/","title":"Currencies","parent":"Econ","content":"econ currencies - Currencies Overview\n/econ currencies "},{"id":34,"href":"/OpenBBTerminal/bots/discord/econ/energy/","title":"Energy","parent":"Econ","content":"econ energy - Oil and Gas Futures\n/econ energy "},{"id":35,"href":"/OpenBBTerminal/bots/discord/econ/futures/","title":"Futures","parent":"Econ","content":"econ futures - Futures and comodities overview.\n/econ futures "},{"id":36,"href":"/OpenBBTerminal/bots/discord/econ/glbonds/","title":"Glbonds","parent":"Econ","content":"econ glbonds - Global\n/econ glbonds "},{"id":37,"href":"/OpenBBTerminal/bots/discord/econ/grains/","title":"Grains","parent":"Econ","content":"econ grains -\n/econ grains "},{"id":38,"href":"/OpenBBTerminal/bots/discord/econ/indices/","title":"Indices","parent":"Econ","content":"econ indices - US Index Summary\n/econ indices "},{"id":39,"href":"/OpenBBTerminal/bots/discord/econ/meats/","title":"Meats","parent":"Econ","content":"econ meats - Hogs and Cattle Futures\n/econ meats "},{"id":40,"href":"/OpenBBTerminal/bots/discord/econ/metals/","title":"Metals","parent":"Econ","content":"econ metals - Precious metals futures.\n/econ metals "},{"id":41,"href":"/OpenBBTerminal/bots/discord/econ/overview/","title":"Overview","parent":"Econ","content":"econ overview - General market overview.\n/econ overview "},{"id":42,"href":"/OpenBBTerminal/bots/discord/econ/performance/","title":"Performance","parent":"Econ","content":"econ performance - Economic performance by industry, sector, or country. (US-listed companies)\n/econ performance economy_group: basic_materials "},{"id":43,"href":"/OpenBBTerminal/bots/discord/econ/repo/","title":"Repo","parent":"Econ","content":"econ repo - Daily reverse repo operation statistics.\n/econ repo days: 100 "},{"id":44,"href":"/OpenBBTerminal/bots/discord/econ/softs/","title":"Softs","parent":"Econ","content":"econ softs - Softs category of futures.\n/econ softs "},{"id":45,"href":"/OpenBBTerminal/bots/discord/econ/usbonds/","title":"Usbonds","parent":"Econ","content":"econ usbonds - US Treasuries overview.\n/econ usbonds "},{"id":46,"href":"/OpenBBTerminal/bots/discord/econ/valuation/","title":"Valuation","parent":"Econ","content":"econ valuation - Net valuation for an country, industry, or sector.\n/econ valuation economy_group: country "},{"id":47,"href":"/OpenBBTerminal/bots/discord/etf/","title":"Etf","parent":"Discord","content":"ETF Commands are prefixed with: /etf.\nTable of Contents Top Movers Holdings by Ticker ETF holdings "},{"id":48,"href":"/OpenBBTerminal/bots/discord/etf/disc-tops/","title":"Disc Tops","parent":"Etf","content":"etf disc-tops - Discover the biggest movers of the day.\n/etf disc-tops sort: Most Active "},{"id":49,"href":"/OpenBBTerminal/bots/discord/etf/holdings_by_etf/","title":"Holdings by Etf","parent":"Etf","content":"etf holdings by-etf - Displays the holdings of a particular fund.\n/etf holdings by-etf etf: IWM "},{"id":50,"href":"/OpenBBTerminal/bots/discord/etf/holdings_by_ticker/","title":"Holdings by Ticker","parent":"Etf","content":"etf holdings by-ticker - Search for ETFs containing a specific stock.\n/etf holdings by-ticker ticker: EXPR "},{"id":51,"href":"/OpenBBTerminal/bots/discord/gov/","title":"Gov","parent":"Discord","content":"Government Commands (USA Only).\nTable of Contents Top Lobbying Last Contracts Quarterly Contracts Last Trades Top Buys Top Sells Historical (ticker) Lobbying (ticker) Contracts (ticker) Trades (ticker) "},{"id":52,"href":"/OpenBBTerminal/bots/discord/gov/contracts/","title":"Contracts","parent":"Gov","content":"gov lastcontracts - Awarded contracts associated with a ticker.\ngov contracts ticker: PLTR past_transaction_days: 5 "},{"id":53,"href":"/OpenBBTerminal/bots/discord/gov/gtrades/","title":"Gtrades","parent":"Gov","content":"gov gtrades - Search for trades, by ticker, made by representitives in office.\n/gov gtrades ticker: MSFT gov_type: senate raw: True "},{"id":54,"href":"/OpenBBTerminal/bots/discord/gov/histcont/","title":"Histcont","parent":"Gov","content":"gov histcont - Displays the historical value of awarded quarterly-contracts.\n/gov histcont ticker: MSFT "},{"id":55,"href":"/OpenBBTerminal/bots/discord/gov/lastcontracts/","title":"Lastcontracts","parent":"Gov","content":"gov lastcontracts - The latest tendered government contracts and the associated tickers.\n/gov lastcontracts num: 10 "},{"id":56,"href":"/OpenBBTerminal/bots/discord/gov/lasttrades/","title":"Lasttrades","parent":"Gov","content":"gov lasttrades - Displays the latest trades made by the Congress/Senate/House.\n/gov lasttrades gov_type: house past_days: 20 "},{"id":57,"href":"/OpenBBTerminal/bots/discord/gov/lobbying/","title":"Lobbying","parent":"Gov","content":"gov lobbying - Displays the details of a company\u0026rsquo;s lobbying efforts.\n/gov lobbying ticker: PLTR num: 10 "},{"id":58,"href":"/OpenBBTerminal/bots/discord/gov/qtrcontracts/","title":"Qtrcontracts","parent":"Gov","content":"gov qtrcontracts - Analysis of awarded quartlery contracts.\n/gov qtrcontracts analysis: upmom num: 5 "},{"id":59,"href":"/OpenBBTerminal/bots/discord/gov/topbuys/","title":"Topbuys","parent":"Gov","content":"gov topbuys - Ranks the popularity of stocks amongst branches of government.\n/gov topbuys gov_type: senate num: 10 "},{"id":60,"href":"/OpenBBTerminal/bots/discord/gov/toplobbying/_index./","title":"Index.","parent":"Gov","content":"gov toplobbying - Displays the most active lobbyists in America.\n/gov toplobbying num: 10 "},{"id":61,"href":"/OpenBBTerminal/bots/discord/gov/topsells/","title":"Topsells","parent":"Gov","content":"gov topsells - Displays most sold stocks by the Congress/Senate/House\n/gov topsells gov_type: house "},{"id":62,"href":"/OpenBBTerminal/bots/discord/misc/","title":"Misc","parent":"Discord","content":"Miscellaneous commands.\nTable of Contents Futures Earnings Dates Insider Trading Moon Megashill "},{"id":63,"href":"/OpenBBTerminal/bots/discord/misc/earnings/","title":"Earnings","parent":"Misc","content":"earnings - The next batch of companies to report earnings in the US.\n/earnings "},{"id":64,"href":"/OpenBBTerminal/bots/discord/misc/futures/","title":"Futures","parent":"Misc","content":"futures - US futures summary.\n/futures "},{"id":65,"href":"/OpenBBTerminal/bots/discord/misc/ins-last/","title":"Ins Last","parent":"Misc","content":"ins-last Insider activity for a selected stock.\n/ins-last ticker: BBBY num: 10 "},{"id":66,"href":"/OpenBBTerminal/bots/discord/misc/megashill/","title":"Megashill","parent":"Misc","content":"megashill - A rose by any other name\u0026hellip;\n"},{"id":67,"href":"/OpenBBTerminal/bots/discord/misc/moon/","title":"Moon","parent":"Misc","content":"moon - #BULLISH\n"},{"id":68,"href":"/OpenBBTerminal/bots/discord/options/","title":"Options","parent":"Discord","content":"Options commands can be browsed by clicking on the avatar after entering a slash. For options on indexes, use the appropriate index symbol to retrieve options data.\nTable of Contents Unusual Options Information Volatility Surface Open Interest Volume Overview Historical Greeks Chains "},{"id":69,"href":"/OpenBBTerminal/bots/discord/options/chain/","title":"Chain","parent":"Options","content":"opt opt_chain - Shows last price information for the selected expiration.\n/opt opt_chain ticker: SPY expiry: 2022-02-28 opt_type: Puts "},{"id":70,"href":"/OpenBBTerminal/bots/discord/options/grhist/","title":"Grhist","parent":"Options","content":"opt grhist - Charts the history of an option with a selectable Greek variable.\n/opt grhist ticker: SPY expiry: 2022-12-16 strike: 400 opt_type: Puts greek: vega "},{"id":71,"href":"/OpenBBTerminal/bots/discord/options/hist/","title":"Hist","parent":"Options","content":"opt hist - displays the price history of a specific option.\n/opt hist ticker: GME expiry: 2023-01-20 strike: 100 opt_type: Calls "},{"id":72,"href":"/OpenBBTerminal/bots/discord/options/info/","title":"Info","parent":"Options","content":"opt info - displays a summary of options activity for the underlying asset.\n/opt info SPY "},{"id":73,"href":"/OpenBBTerminal/bots/discord/options/oi/","title":"Oi","parent":"Options","content":"opt oi - Display a graph of open interest across a selected expiration date.\n/opt oi ticker: BRK-B expiry: 2023-01-20 "},{"id":74,"href":"/OpenBBTerminal/bots/discord/options/overview/","title":"Overview","parent":"Options","content":"opt overview - Displays an overview of the desired option chain.\n/opt overview ticker: SPY expiry: 2022-03-04 min_sp: 200 max_sp: 500 "},{"id":75,"href":"/OpenBBTerminal/bots/discord/options/smile/","title":"Smile","parent":"Options","content":"opt smile - The volatility smile of an option expiration chain.\n/opt smile ticker: QQQ expiry: 2022-04-01 min_sp: 300 max_sp: 450 "},{"id":76,"href":"/OpenBBTerminal/bots/discord/options/unu/","title":"Unu","parent":"Options","content":"opt unu - displays a table of unusual options activity, sorted by the ratio of volume/open interest.\n/opt unu "},{"id":77,"href":"/OpenBBTerminal/bots/discord/options/vol/","title":"Vol","parent":"Options","content":"opt vol - Displays a chart of volume by strike for a chosen expiration date.\n/opt vol ticker: SPY expiry: 2022-03-18 "},{"id":78,"href":"/OpenBBTerminal/bots/discord/options/vsurf/","title":"Vsurf","parent":"Options","content":"opt vsurf - Displays a 3-D graph of Strike, Expiration, and a choice of: Volatility, Open Interest, or Last Price.\n/opt vsurf ticker: BRK-B z: Volatility Dynamic Chart:\n"},{"id":79,"href":"/OpenBBTerminal/bots/discord/price/","title":"Price","parent":"Discord","content":"This group of commands are the primary methods for requesting price information, using the symbol and exchange structures followed by yFinance. Crypto, FX, Indexes, and Futures are also callable wherever the input variable is a ticker.\nA list of supported exchanges can be downloaded here: yFinance_global_exchanges.csv\nTable of Contents Candle Quote BTC ETH SOL "},{"id":80,"href":"/OpenBBTerminal/bots/discord/price/btc/","title":"Btc","parent":"Price","content":"A shortcut for displaying a candle chart of Bitcoin.\n/btc interval: 15 past_days: 30 "},{"id":81,"href":"/OpenBBTerminal/bots/discord/price/candle/","title":"Candle","parent":"Price","content":"Displays a candle chart for a ticker, with selectable interval and period windows. A link to a dynamic version of the chart is provided.\n/candle ticker: SPY interval: 1 extended_hours: True heikin_candles: True "},{"id":82,"href":"/OpenBBTerminal/bots/discord/price/eth/","title":"Eth","parent":"Price","content":"A shortcut for displaying a candle chart of Ethereum.\n/eth interval: 15 "},{"id":83,"href":"/OpenBBTerminal/bots/discord/price/quote/","title":"Quote","parent":"Price","content":"Displays the last price of a ticker, along with a few other statistics.\n/quote ^N225 "},{"id":84,"href":"/OpenBBTerminal/bots/discord/price/sol/","title":"Sol","parent":"Price","content":"sol - A shortcut for displaying a candle chart of Solana.\n/sol interval: 60 start: 2021-01-01 end: 2022-02-24 "},{"id":85,"href":"/OpenBBTerminal/bots/discord/screener/","title":"Screener","parent":"Discord","content":"The Stock Screener is a versatile screener that allows to play with screeners created by the community.\nTable of Contents Default Presets Custom Presets Overview Technical Valuation Financial Ownership Performance "},{"id":86,"href":"/OpenBBTerminal/bots/discord/screener/financial/","title":"Financial","parent":"Screener","content":"scr financial - Screens stocks through financial metrics.\n/scr financial preset: value_stocks sort: Volume "},{"id":87,"href":"/OpenBBTerminal/bots/discord/screener/overview/","title":"Overview","parent":"Screener","content":"scr overview - A general tool for discovery stocks.\n/scr overview preset: short_squeeze_scan sort: Change limit: 10 "},{"id":88,"href":"/OpenBBTerminal/bots/discord/screener/ownership/","title":"Ownership","parent":"Screener","content":"scr ownership - Screen stocks based on ownership fundamentals.\n/scr ownership preset: undervalue sort: Change limit: 20 "},{"id":89,"href":"/OpenBBTerminal/bots/discord/screener/performance/","title":"Performance","parent":"Screener","content":"scr performance - Filter stocks based on performance metrics.\n/scr performance preset: unusual_volume sort: Change "},{"id":90,"href":"/OpenBBTerminal/bots/discord/screener/presets_custom/","title":"Presets Custom","parent":"Screener","content":"scr presets_custom - A list of presets compatible with the FinViz Stock Screener\npotential_reversals: Potential Reversals golden_cross_penny: Golden Cross rosenwald_gtfo: Too many indicators indicating an impending crash. golden_cross: Golden Cross when the 50 day moves above the200 day from below. bull_runs_over_10pct: Bull runs over 10% recent_growth_and_support: Recent Growth, Support heavy_inst_ins: Heavily owned by institutions and insiders (\u0026gt;30% each) short_squeeze_scan: Short Squeeze Scan under_15dol_stocks: Under $15 Stocks top_performers_healthcare: Top performers (Healthcare) oversold_under_3dol: Oversold Under $3 value_stocks: Value Stocks cheap_dividend: Cheap dividend stocks death_cross: When the 50 sma crosses below the 200 sma. More information can be found in https://www.investopedia.com/terms/d/deathcross.asp top_performers_tech: Top performers (tech) unusual_volume: Unusual Volume cheap_oversold: Cheap stonks that are oversold: under 10% above the low, and oversold on the RSI. undervalue: Potential Undervalued stocks high_vol_and_low_debt: High Volume, NEW Volume, Low Debt simplistic_momentum_scanner_under_7dol: Simplistic Momentum Scanner Under $7 5pct_above_low: 5% Above Low growth_stocks: Growth Stocks cheap_bottom_dividend: High Yield Dividend stonks that are at-or-near their lowest price. Inverse Head and shoulders pattern recognized. analyst_strong_buy: Analyst Strong Buy oversold: Oversold rosenwald: The \u0026quot;classic rosenwald\u0026quot; screen based on some dude i work with best guess. weak_support_and_top_performers: (Weak Support Trendlines, Top Performers) channel_up_and_low_debt_and_sma_50and200: (Channel Up, Low Debt, Above 50 \u0026amp; 200 SMA) template: Template with all available filters and their options menu. More information can be found in https://finviz.com/help/screener.ashx and https://finviz.com/help/technical-analysis/charts-patterns.ashx modified_neff: Neff Screener with modifications // operational margin \u0026lt;50%. More information can be found in https://marketxls.com/template/neff-screen/ buffett_like: Buffet like value screener (Value invsting for long term growth) oversold_under_5dol: Oversold Under $5 sexy_year: This is just a sample. The user that adds the preset can add a description for what type of stocks these filters are aimed for news_scanner: News Scanner top_performers_all: Top performers (ALL) stocks_strong_support_levels: Stocks Strong Support Levels continued_momentum_scan: Continued Momentum Scan modified_dreman: Modified Version of the Dreman Screener. break_out_stocks: Break out Stocks "},{"id":91,"href":"/OpenBBTerminal/bots/discord/screener/presets_default/","title":"Presets Default","parent":"Screener","content":"/scr presets_default - A list of all the presets in the screener. Some presets are meant for specific subcommands; experimentation here is recommended.\n/scr presets_default top_gainers: stocks with the highest %% price gain today top_losers: stocks with the highest %% price loss today new_high: stocks making 52-week high today new_low: stocks making 52-week low today most_volatile: stocks with the highest widest high/low trading range today most_active: stocks with the highest trading volume today unusual_volume: stocks with unusually high volume today - the highest relative volume ratio overbought: stock is becoming overvalued and may experience a pullback. oversold: oversold stocks may represent a buying opportunity for investors downgrades: stocks downgraded by analysts today upgrades: stocks upgraded by analysts today earnings_before: companies reporting earnings today, before market open earnings_after: companies reporting earnings today, after market close recent_insider_buying: stocks with recent insider buying activity recent_insider_selling: stocks with recent insider selling activity major_news: stocks with the highest news coverage today horizontal_sr: horizontal channel of price range between support and resistance trendlines tl_resistance: once a rising trendline is broken tl_support: once a falling trendline is broken wedge_up: upward trendline support and upward trendline resistance (reversal) wedge_down: downward trendline support and downward trendline resistance (reversal) wedge: upward trendline support, downward trendline resistance (contiunation) triangle_ascending: upward trendline support and horizontal trendline resistance triangle_descending: horizontal trendline support and downward trendline resistance channel_up: both support and resistance trendlines slope upward channel_down: both support and resistance trendlines slope downward channel: both support and resistance trendlines are horizontal double_top: stock with 'M' shape that indicates a bearish reversal in trend double_bottom: stock with 'W' shape that indicates a bullish reversal in trend multiple_top: same as double_top hitting more highs multiple_bottom: same as double_bottom hitting more lows head_shoulders: chart formation that predicts a bullish-to-bearish trend reversal head_shoulders_inverse: chart formation that predicts a bearish-to-bullish trend reversal "},{"id":92,"href":"/OpenBBTerminal/bots/discord/screener/technical/","title":"Technical","parent":"Screener","content":"scr technical - Use technical factors to screen and sort sort stocks.\n/scr technical preset: cheap_bottom_dividend sort: Volume "},{"id":93,"href":"/OpenBBTerminal/bots/discord/screener/valuation/","title":"Valuation","parent":"Screener","content":"scr valuation - Discover stocks based on valuation fundamentals.\n/scr valuation preset: recent_growth_and_support sort: P/S Ticker ZEN Market Cap 14220000000.0 P/E Fwd P/E 98.01 PEG P/S 10.62 P/B 28.48 P/C 13.99 P/FCF 91.89 EPS this Y 0.012 EPS next Y 0.462 EPS past 5Y -0.123 EPS next 5Y 0.346 Sales past 5Y 0.337 Price 114.01 Change -0.0091 Volume 902169.0 "},{"id":94,"href":"/OpenBBTerminal/bots/discord/sia/","title":"Sia","parent":"Discord","content":"Sector and industry analysis.\nTable of Contents Metrics Companies per Sector Companies per Industry "},{"id":95,"href":"/OpenBBTerminal/bots/discord/sia/cpic/","title":"Cpic","parent":"Sia","content":"sia cpic - Displays a pie chart breaking down global industry weightings.\n/sia cpic industry: Aluminum mktcap: Mid exclude_exchanges: False "},{"id":96,"href":"/OpenBBTerminal/bots/discord/sia/cps/","title":"Cps","parent":"Sia","content":"sia cps - A pie chart of a country\u0026rsquo;s economic sector weighting.\n/sia cps country: Russia mktcap: Large exclude_exchanges: False "},{"id":97,"href":"/OpenBBTerminal/bots/discord/sia/metrics/","title":"Metrics","parent":"Sia","content":"sia metrics - Comparative analysis of industry competitors.\n/sia metrics ticker: MSFT metric: Revenue Growth "},{"id":98,"href":"/OpenBBTerminal/bots/discord/ta/","title":"Ta","parent":"Discord","content":"Technical Analysis features.\nTable of Contents Summary View Recommendation On-Balance Volume Fibonacci Advance/Decline Line Center of Gravity Commodity Channel Index Exponential Moving Average Simple Moving Average Weighted Moving Average Hull Moving Average Zero Lag Exponential Moving Average Aroon Indicator Accumulation/Distribution Oscillator Moving Average Convergence Divergence Keltner Channel Average Directional Index Relative Strength Index Stochastic Oscillator Bollinger Bands Donchian Channels "},{"id":99,"href":"/OpenBBTerminal/bots/discord/ta/ad/","title":"Ad","parent":"Ta","content":"ta-vol ad - Accumulation/Distribution Line\nThe Accumulation/Distribution Line is similar to the On Balance Volume (OBV), which sums the volume times +1/-1 based on whether the close is higher than the previous close. The Accumulation/Distribution indicator, however multiplies the volume by the close location value (CLV). The CLV is based on the movement of the issue within a single bar and can be +1, -1 or zero. The Accumulation/Distribution Line is interpreted by looking for a divergence in the direction of the indicator relative to price. If the Accumulation/Distribution Line is trending upward it indicates that the price may follow. Also, if the Accumulation/Distribution Line becomes flat while the price is still rising (or falling) then it signals an impending flattening of the price.\n/ta-vol ad ticker: TSLA interval: 15 past_days: 60 heiken_candles: True "},{"id":100,"href":"/OpenBBTerminal/bots/discord/ta/adosc/","title":"Adosc","parent":"Ta","content":"ta-vol adosc - Chaikin Oscillator Indicator\nThe Chaikin Oscillator is the difference between the 3-day and 10-day EMAs of the Accumulation Distribution Line. Like other momentum indicators, this indicator is designed to anticipate directional changes in the Accumulation Distribution Line by measuring the momentum behind the movements.\n/ta-vol adosc ticker: GOOG interval: 15 past_days: 30 extended_hours: True heiken_candles: True "},{"id":101,"href":"/OpenBBTerminal/bots/discord/ta/adx/","title":"Adx","parent":"Ta","content":"ta-trend adx - Average Directional Movement Index\nThe ADX is a Welles Wilder style moving average of the Directional Movement Index (DX). The values range from 0 to 100, but rarely get above 60. To interpret the ADX, consider a high number to be a strong trend, and a low number, a weak trend.\n/ta-trend adx ticker: VXX interval: 5 past_days: 30 extended_hours: True heiken_candles: True "},{"id":102,"href":"/OpenBBTerminal/bots/discord/ta/aroon/","title":"Aroon","parent":"Ta","content":"ta-trend aroon - Aroon Indicator\nThe word aroon is Sanskrit for \u0026ldquo;dawn\u0026rsquo;s early light.\u0026rdquo; The Aroon indicator attempts to show when a new trend is dawning. The indicator consists of two lines (Up and Down) that measure how long it has been since the highest high/lowest low has occurred within an n period range. When the Aroon Up is staying between 70 and 100 then it indicates an upward trend. When the Aroon Down is staying between 70 and 100 then it indicates an downward trend. A strong upward trend is indicated when the Aroon Up is above 70 while the Aroon Down is below 30. Likewise, a strong downward trend is indicated when the Aroon Down is above 70 while the Aroon Up is below 30. Also look for crossovers. When the Aroon Down crosses above the Aroon Up, it indicates a weakening of the upward trend (and vice versa).\n/ta-trend aroon ticker: TQQQ interval: 30 past_days: 20 "},{"id":103,"href":"/OpenBBTerminal/bots/discord/ta/bbands/","title":"Bbands","parent":"Ta","content":"ta-vlt bbands - Bollinger Bands\nBollinger Bands consist of three lines. The middle band is a simple moving average (generally 20 periods) of the typical price (TP). The upper and lower bands are F standard deviations (generally 2) above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. Bollinger Bands do not, in themselves, generate buy or sell signals; they are an indicator of overbought or oversold conditions. When the price is near the upper or lower band it indicates that a reversal may be imminent. The middle band becomes a support or resistance level. The upper and lower bands can also be interpreted as price targets. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.\n/ta-vlt bbands ticker: SPY interval: 15 ma_mode: zlma past_days: 21 "},{"id":104,"href":"/OpenBBTerminal/bots/discord/ta/cci/","title":"Cci","parent":"Ta","content":"ta-mom cci - Commodity Channel Index\nhttps://www.fidelity.com/learning-center/trading-investing/technical-analysis/technical-indicator-guide/cci\nWhen the CCI moves above +100, a new, strong uptrend is beginning, signaling a buy. Use trending indicators or other technical analysis methods to confirm signals indicated by the CCI. When the CCI moves below −100, a new, strong downtrend is beginning, signaling a sell. Close the position on CCI rising above −100. Use trending indicators or other technical analysis methods to confirm signals indicated by the CCI.\nLook for overbought levels above +100 and oversold levels below -100. These CCI levels can be adjusted depending on the volatility of the security. For example, for a more volatile security you can use +200 and -200.\nNote: CCI is an unbound oscillator, meaning there is no upside or downside limits. This makes interpreting an overbought or oversold condition subjective. When the CCI is overbought the security can continue to move higher. When the CCI is oversold the security can continue lower as well. Use the CCI in conjunction with additional indicators or price analysis when attempting to read overbought or oversold conditions.\nIf underlying prices make a new high or low that isn\u0026rsquo;t confirmed by the CCI, the divergence may signal a price reversal.\n/ta-mom cci ticker: HUT interval: 15 past_days: 60 heiken_candles: True "},{"id":105,"href":"/OpenBBTerminal/bots/discord/ta/cg/","title":"Cg","parent":"Ta","content":"ta-mom cg - Center of Gravity Indicator\nThe Center of Gravity indicator, in short, is used to anticipate future price movements and to trade on price reversals as soon as they happen. However, just like other oscillators, the COG indicator returns the best results in range-bound markets and should be avoided when the price is trending. Traders who use it will be able to closely speculate the upcoming price change of the asset.\n/ta-mom cg ticker: AA start: 2019-12-30 end: 2022-02-24 "},{"id":106,"href":"/OpenBBTerminal/bots/discord/ta/donchian/","title":"Donchian","parent":"Ta","content":"ta-vlt donchian - Donchian Channels\nDonchian Channels are three lines generated by moving average calculations that comprise an indicator formed by upper and lower bands around a midrange or median band. The upper band marks the highest price of a security over N periods while the lower band marks the lowest price of a security over N periods. The area between the upper and lower bands represents the Donchian Channel.\n/ta-vlt donchian ticker: IRNT "},{"id":107,"href":"/OpenBBTerminal/bots/discord/ta/fib/","title":"Fib","parent":"Ta","content":"ta fib - shows Fibonacci levels for a stock.\nFibonacci retracement levels are horizontal lines that indicate where support and resistance are likely to occur. They stem from Fibonacci’s sequence, a mathematical formula that originated in the 13th century.\nEach level is associated with a percentage. The percentage is how much of a prior move the price has retraced. The Fibonacci retracement levels are 23.6%, 38.2%, 61.8%, and 78.6%. While not officially a Fibonacci ratio, 50% is also used.\n/ta fib ticker: GME interval: 60 past_days: 180 extended_hours: true heikin_candles: true "},{"id":108,"href":"/OpenBBTerminal/bots/discord/ta/fisher/","title":"Fisher","parent":"Ta","content":"ta-mom fisher - Fisher Transform\nThe Fisher Transform is a technical indicator created by John F. Ehlers that converts prices into a Gaussian normal distribution. The indicator highlights when prices have moved to an extreme, based on recent prices. This may help in spotting turning points in the price of an asset. It also helps show the trend and isolate the price waves within a trend.\n/ta-mom fisher ticker: PLTR interval: 60 past_days: 365 length: 21 "},{"id":109,"href":"/OpenBBTerminal/bots/discord/ta/kc/","title":"Kc","parent":"Ta","content":"ta-vlt kc - Keltner Channels\nhttps://school.stockcharts.com/doku.php?id=technical_indicators:keltner_channels\nKeltner Channels are volatility-based bands that are placed on either side of an asset\u0026rsquo;s price and can aid in determining the direction of a trend. The Keltner channel uses the average true range (ATR) or volatility, with breaks above or below the top and bottom barriers signaling a continuation. The channels are typically set two Average True Range values above and below the 20-day EMA. The exponential moving average dictates direction and the Average True Range sets channel width. Keltner Channels are a trend following indicator used to identify reversals with channel breakouts and channel direction. Channels can also be used to identify overbought and oversold levels when the trend is flat.\nIn his 1960 book, How to Make Money in Commodities, Chester Keltner introduced the “Ten-Day Moving Average Trading Rule,” which is credited as the original version of Keltner Channels. This original version started with a 10-day SMA of the typical price {(H+L+C)/3)} as the centerline. The 10-day SMA of the High-Low range was added and subtracted to set the upper and lower channel lines. Linda Bradford Raschke introduced the newer version of Keltner Channels in the 1980s. Like Bollinger Bands, this new version used a volatility based indicator, Average True Range (ATR), to set channel width. StockCharts.com uses this newer version of Keltner Channels.\nMiddle Line: 20-day exponential moving average Upper Channel Line: 20-day EMA + (2 x ATR(10)) Lower Channel Line: 20-day EMA - (2 x ATR(10)) /ta-vlt kc ticker: TSLA interval: 60 ma_mode: ema past_days: 180 extended_hours: true heikin_candles: true "},{"id":110,"href":"/OpenBBTerminal/bots/discord/ta/ma/","title":"Ma","parent":"Ta","content":"ta-ma - Moving Averages\n/ta-ma ticker: DDS interval: 60 ma_mode: ema past_days: 365 window: 21,126,252 "},{"id":111,"href":"/OpenBBTerminal/bots/discord/ta/macd/","title":"Macd","parent":"Ta","content":"ta-mom macd - Moving Average Convergence/Divergence Oscillator\nDeveloped by Gerald Appel in the late seventies, the Moving Average Convergence/Divergence oscillator (MACD) is one of the simplest and most effective momentum indicators available. The MACD turns two trend-following indicators, moving averages, into a momentum oscillator by subtracting the longer moving average from the shorter one. As a result, the MACD offers the best of both worlds: trend following and momentum. The MACD fluctuates above and below the zero line as the moving averages converge, cross and diverge. Traders can look for signal line crossovers, centerline crossovers and divergences to generate signals. Because the MACD is unbounded, it is not particularly useful for identifying overbought and oversold levels.\nMACD Line: (12-day EMA - 26-day EMA) Signal Line: 9-day EMA of MACD Line MACD Histogram: MACD Line - Signal Line /ta-mom macd ticker: XOM interval: 60 past_days: 90 "},{"id":112,"href":"/OpenBBTerminal/bots/discord/ta/obv/","title":"Obv","parent":"Ta","content":"ta-vol obv - On-Balance Volume over a specified period.\n/ta-vol obv ticker: GME interval: 5 past_days: 30 "},{"id":113,"href":"/OpenBBTerminal/bots/discord/ta/recom/","title":"Recom","parent":"Ta","content":"ta recom - Displays text of a given stock\u0026rsquo;s recommendation based on T/A from the Tradingview API.\n/ta recom ticker: RKT "},{"id":114,"href":"/OpenBBTerminal/bots/discord/ta/rsi/","title":"Rsi","parent":"Ta","content":"ta-mom rsi - Relative Strength Index\nThe Relative Strength Index (RSI) calculates a ratio of the recent upward price movements to the absolute price movement. The RSI ranges from 0 to 100. The RSI is interpreted as an overbought/oversold indicator when the value is over 70/below 30. You can also look for divergence with price. If the price is making new highs/lows, and the RSI is not, it indicates a reversal.\n/ta-mom rsi ticker: RIOT interval: 60 past_days: 90 "},{"id":115,"href":"/OpenBBTerminal/bots/discord/ta/stoch/","title":"Stoch","parent":"Ta","content":"ta-mom stoch - Stochastic Oscillator\nThe Stochastic Oscillator measures where the close is in relation to the recent trading range. The values range from zero to 100. %D values over 75 indicate an overbought condition; values under 25 indicate an oversold condition. When the Fast %K crosses above the Slow %D, it is a buy signal; when it crosses below, it is a sell signal. The Raw %K is generally considered too erratic to use for crossover signals.\n/ta-mom stoch ticker: AAPL interval: 60 past_days: 90 "},{"id":116,"href":"/OpenBBTerminal/bots/discord/ta/summary/","title":"Summary","parent":"Ta","content":"ta summary - A text summary of the current state of the equity in question.\n/ta summary ticker: SPY "},{"id":117,"href":"/OpenBBTerminal/bots/discord/ta/view/","title":"View","parent":"Ta","content":"ta view - Displays a chart from https://finviz.com showing 20,50,200 SMA and trend lines.\n/ta view ticker: SPY "},{"id":118,"href":"/OpenBBTerminal/bots/groupme/","title":"Groupme","parent":"OpenBB Bots","content":"WORK IN PROGRESS.\n"},{"id":119,"href":"/OpenBBTerminal/bots/slack/","title":"Slack","parent":"OpenBB Bots","content":"WORK IN PROGRESS.\n"},{"id":120,"href":"/OpenBBTerminal/bots/telegram/","title":"Telegram","parent":"OpenBB Bots","content":"WORK IN PROGRESS.\n"},{"id":121,"href":"/OpenBBTerminal/terminal/alternative/","title":"Alternative","parent":"OpenBB Terminal","content":"Investors utilize alternative data to analyze a company or investment that is not available through typical data sources (financial statements, SEC filings, management presentations, press releases, etc.). Traditional data sources do not provide investors with as accurate, timely, or granular insights and measurements into corporate performance as alternative data does. Increases in computing power and personal device usage have resulted in tremendous data production during the previous ten years. As a result, a slew of new businesses have sprung up to collect, clean, analyze, and interpret data in order to sell it as a product that might help investors make better decisions.\nAvailable commands Covid Cases Deaths Ov Rates Slopes Oss Rossidx Rs Sh Tr "},{"id":122,"href":"/OpenBBTerminal/terminal/alternative/covid/","title":"Covid","parent":"Alternative","content":"Available commands: Cases Deaths Ov Rates Slopes "},{"id":123,"href":"/OpenBBTerminal/terminal/alternative/covid/cases/","title":"Cases","parent":"Covid","content":"usage: cases [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] [-l LIMIT] Show historical cases for country.\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":124,"href":"/OpenBBTerminal/terminal/alternative/covid/deaths/","title":"Deaths","parent":"Covid","content":"sage: deaths [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] [-l LIMIT] Show historical deaths by country.\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":125,"href":"/OpenBBTerminal/terminal/alternative/covid/ov/","title":"Ov","parent":"Covid","content":"usage: ov [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] [-l LIMIT] Show historical cases and deaths by country.\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":126,"href":"/OpenBBTerminal/terminal/alternative/covid/rates/","title":"Rates","parent":"Covid","content":"usage: rates [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] [-l LIMIT] Show historical rates country.\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":127,"href":"/OpenBBTerminal/terminal/alternative/covid/slopes/","title":"Slopes","parent":"Covid","content":"usage: slopes [-d DAYS] [-a] [-t THRESHOLD] [-h] [--export {csv,json,xlsx}] [-l LIMIT] Show countries with highest slopes in cases.\noptional arguments: -d DAYS, --days DAYS Number of days back to look (default: 30) -a, --ascend Show in ascending order (default: False) -t THRESHOLD, --threshold THRESHOLD Threshold for total cases over period (default: 10000) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) 2022 Feb 14, 10:26 (✨) /alternative/covid/ $ slopes Highest Sloping Cases (Cases/Day) ┌────────────────┬───────────┐ │ Country │ Slope │ ├────────────────┼───────────┤ │ US │ 331073.67 │ ├────────────────┼───────────┤ │ France │ 278690.89 │ ├────────────────┼───────────┤ │ India │ 197265.42 │ ├────────────────┼───────────┤ │ Brazil │ 166945.38 │ ├────────────────┼───────────┤ │ Germany │ 145740.36 │ ├────────────────┼───────────┤ │ United Kingdom │ 121007.75 │ ├────────────────┼───────────┤ │ Russia │ 90106.71 │ ├────────────────┼───────────┤ │ Spain │ 87634.01 │ ├────────────────┼───────────┤ │ Turkey │ 82293.04 │ ├────────────────┼───────────┤ │ Japan │ 74577.78 │ └────────────────┴───────────┘ "},{"id":128,"href":"/OpenBBTerminal/terminal/alternative/oss/","title":"Oss","parent":"Alternative","content":"Available commands: Rossidx Rs Sh Tr "},{"id":129,"href":"/OpenBBTerminal/terminal/alternative/oss/rossidx/","title":"Rossidx","parent":"Oss","content":"usage: rossidx [-s SORTBY [SORTBY {GitHub,Company,Country,City,Founded,Raised [$M],Stars,Forks,Stars AGR [%],Forks AGR [%]}]] [--descend] [--chart] [--growth] [-ct {stars,forks}] [-h] [--export EXPORT] [-l LIMIT]\nDisplay list of startups from ross index [Source: https://runacap.com/] Use \u0026ndash;chart to display chart and -t {stars,forks} to set chart type\noptional arguments: -s SORTBY [SORTBY ...], --sortby SORTBY [SORTBY {GitHub,Company,Country,City,Founded,Raised [$M],Stars,Forks,Stars AGR [%],Forks AGR [%]}] Sort startups by column (default: Stars AGR [%]) --descend Flag to sort in descending order (lowest first) (default: False) -c, --chart Flag to show chart (default: False) -g, --growth Flag to show growth chart (default: False) -t {stars,forks}, --chart-type {stars,forks} Chart type: {stars, forks} (default: stars) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":130,"href":"/OpenBBTerminal/terminal/alternative/oss/rs/","title":"Rs","parent":"Oss","content":"usage: rs [-h] [-r REPO] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] Display a repo summary [Source: https://api.github.com]\noptional arguments: -h, --help show help message (default: False) -r --repo Repository to search for star history. Format: org/repo, e.g., openbb-finance/openbbterminal --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":131,"href":"/OpenBBTerminal/terminal/alternative/oss/sh/","title":"Sh","parent":"Oss","content":"usage: sh [-h] [-r REPO] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] Display a repo star history [Source: https://api.github.com]\noptional arguments: -h, --help show help message (default: False) -r --repo Repository to search for star history. Format: org/repo, e.g., openbb-finance/openbbterminal --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":132,"href":"/OpenBBTerminal/terminal/alternative/oss/tr/","title":"Tr","parent":"Oss","content":"usage: tr [-h] [-c CATEGORIES] [-s {stars,forks}] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] [-l LIMIT] Display top repositories [Source: https://api.github.com]\noptional arguments: -c, --categories Filter by repo categories. If more than one separate with a comma: e.g., finance,investment. Default: None -s, --sortby Sort repos by {stars, forks}. Default: stars -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":133,"href":"/OpenBBTerminal/terminal/common/","title":"Common","parent":"OpenBB Terminal","content":"The Common menu is a menu that serves the purpose of being able to make multiple analysis techniques available on multiple menus within the Terminal. E.g. technical and quantitative analysis is available for both stocks and cryptocurrencies.\nAvailable commands Prediction Techniques Arima Conv1d Ets Knn Lstm MC Mlp Regression Rnn Quantitative Analysis Acf Bw Capm Cdf Cusum Decompose Es Hist Kurtosis Line Load Normality Om Pick Qqplot Quantile Raw Rolling Sh Skew So Spread Summary Unitroot Var Technical Analysis Ad Adosc Adx Aroon Bbands Cci Cg Donchian Ema Fib Fisher Hma Kc Macd Obv Recom Rsi Sma Stoch Summary Tv View Vwap Wma Zlma Introduction to the Behavioural Analysis Bullbear Getdd Headlines Hist Infer Interest Jcdr Jctr Mentions Messages Popular Queries Reddit Sent Regions Rise Sentiment Snews Spac Spac C Stalker Stats Trend Trending Watchlist Wsb "},{"id":134,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/bullbear/","title":"Bullbear","parent":"Introduction to the Behavioural Analysis","content":"usage: bullbear [-h] Shows the bull/bear sentiment for the loaded ticker based on last 30 messages on the board. Also prints the watchlist_count. Source: Stocktwits\noptional arguments: -h, --help show this help message (default: False) Example:\n2022 Feb 16, 10:07 (✨) /stocks/ba/ $ bullbear Watchlist count: 381324 Last 16 sentiment messages: Bullish 87.5% Bearish 12.5% "},{"id":135,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/getdd/","title":"Getdd","parent":"Introduction to the Behavioural Analysis","content":"usage: getdd [-l LIMIT] [-d DAYS] [-a] [-h] Print top stock\u0026rsquo;s due diligence from other users. [Source: Reddit]\noptional arguments: -l LIMIT, --limit LIMIT limit of posts to retrieve. -d DAYS, --days DAYS number of prior days to look for. -a, --all search through all flairs (apart from Yolo and Meme), otherwise we focus on specific flairs: DD, technical analysis, Catalyst, News, Advice, Chart -h, --help show this help message Example:\n2022 Feb 16, 10:18 (✨) /stocks/ba/ $ getdd -d 50 2022-02-15 17:51:11 - $ATVI free money even if MSFT deal falls through. https://old.reddit.com/r/wallstreetbets/comments/st8s1i/atvi_free_money_even_if_msft_deal_falls_through/ 2022-02-10 05:10:31 - PTON: The safest investment you can make https://old.reddit.com/r/stocks/comments/soycgc/pton_the_safest_investment_you_can_make/ 2022-02-09 01:47:49 - Why only retards are selling the (near) bottom on $FB and are about to get metacucked 🙊 https://old.reddit.com/r/wallstreetbets/comments/so19al/why_only_retards_are_selling_the_near_bottom_on/) 2022-02-08 02:53:43 - If You Cannot Beat Them, Join Them - Congress Trading \u0026amp; Retail Traders https://old.reddit.com/r/wallstreetbets/comments/sn90qs/if_you_cannot_beat_them_join_them_congress/ 2022-02-03 20:01:06 - Thoughts on only buying large market cap stocks (Top 100, 100 billion market cap+, and significant index weighting)? https://old.reddit.com/r/stocks/comments/sjsqhu/thoughts_on_only_buying_large_market_cap_stocks/ "},{"id":136,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/headlines/","title":"Headlines","parent":"Introduction to the Behavioural Analysis","content":"usage: headlines [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] FinBrain collects the news headlines from 15+ major financial news sources on a daily basis and analyzes them to generate sentiment scores for more than 4500 US stocks.FinBrain Technologies develops deep learning algorithms for financial analysis and prediction, which currently serves traders from more than 150 countries all around the world. [Source: https://finbrain.tech]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 16, 10:20 (✨) /stocks/ba/ $ headlines FinBrain Ticker Sentiment ┏━━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ ┃ Sentiment ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━━┩ │ 2022-02-03 │ 0.107 │ ├────────────┼───────────┤ │ 2022-02-04 │ 0.354 │ ├────────────┼───────────┤ │ 2022-02-07 │ 0.129 │ ├────────────┼───────────┤ │ 2022-02-08 │ 0.173 │ ├────────────┼───────────┤ │ 2022-02-09 │ 0.187 │ ├────────────┼───────────┤ │ 2022-02-10 │ 0.161 │ ├────────────┼───────────┤ │ 2022-02-11 │ 0.311 │ ├────────────┼───────────┤ │ 2022-02-14 │ 0.174 │ ├────────────┼───────────┤ │ 2022-02-15 │ 0.275 │ ├────────────┼───────────┤ │ 2022-02-16 │ 0.329 │ └────────────┴───────────┘ "},{"id":137,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/hist/","title":"Hist","parent":"Introduction to the Behavioural Analysis","content":"usage: hist [-s START] [-e END] [-n NUMBER] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] [-l LIMIT] Plot historical sentiment data of RHI and AHI by hour. Source: [Sentiment Investor]\nAHI (Absolute Hype Index) AHI is a measure of how much people are talking about a stock on social media. It is calculated by dividing the total number of mentions for the chosen stock on a social network by the mean number of mentions any stock receives on that social medium.\nRHI (Relative Hype Index) RHI is a measure of whether people are talking about a stock more or less than usual, calculated by dividing the mean AHI for the past day by the mean AHI for for the past week for that stock.\noptional arguments: -s START, --start START The starting date (format YYYY-MM-DD) of the stock. Default: 7 days ago (default: 2022-02-09) -e END, --end END The ending date (format YYYY-MM-DD) of the stock. Default: today (default: 2022-02-16) -n NUMBER, --number NUMBER Number of results returned from Sentiment Investor. Default: 100 (default: 100) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) Example:\n2022 Feb 16, 10:23 (✨) /stocks/ba/ $ load TSLA Loading Daily TSLA stock with starting period 2019-02-11 for analysis. Datetime: 2022 Feb 16 10:23 Timezone: America/New_York Currency: USD Market: CLOSED 2022 Feb 16, 10:23 (✨) /stocks/ba/ $ hist "},{"id":138,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/infer/","title":"Infer","parent":"Introduction to the Behavioural Analysis","content":"usage: infer [-l LIMIT] [-h] [--export {csv,json,xlsx}] Displays a quick sentiment inference from last tweets that contain the ticker. This model splits the text into character-level tokens and uses vader sentiment analysis. Source: https://Twitter.com\noptional arguments: -l LIMIT, --limit LIMIT limit of latest tweets to infer from. (default: 100) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 19, 13:05 (✨) /stocks/ba/ $ infer From: 2022-02-19 17:08:20 To: 2022-02-19 18:04:18 100 tweets were analyzed. Frequency of approx 1 tweet every 34 seconds. The summed compound sentiment of AAPL is: 13.2 The average compound sentiment of AAPL is: 0.13 Of the last 100 tweets, 45.00 % had a higher positive sentiment Of the last 100 tweets, 18.00 % had a higher negative sentiment "},{"id":139,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/interest/","title":"Interest","parent":"Introduction to the Behavioural Analysis","content":"usage: interest [-s START] [-w WORDS] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Plot interest over time of words/sentences versus stock price. [Source: Google]\noptional arguments: -s START, --start START starting date (format YYYY-MM-DD) of interest (default: 2020-03-08) -w WORDS, --words WORDS Select multiple sentences/words separated by commas. E.g. COVID,WW3,NFT (default: None) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":140,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/jcdr/","title":"Jcdr","parent":"Introduction to the Behavioural Analysis","content":"usage: jcdr [-i] [-h] [--export {csv,json,xlsx}] Show daily cramer recommendation\noptional arguments: -i, --inverse Show inverse recommendation (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Sample Usage:\n2022 Mar 09, 11:54 (✨) /stocks/ba/ $ jcdr Jim Cramer Recommendations for 03/04 ┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ Company ┃ Symbol ┃ Price ┃ LastPrice ┃ Change (%) ┃ Recommendation ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ Allbirds │ BIRD │ 6.33 │ 6.11 │ -3.60 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Bumble │ BMBL │ 18.08 │ 24.22 │ 25.35 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Campbell Soup │ CPB │ 45.55 │ 43.46 │ -4.81 │ Buy │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Dicks Sporting Goods │ DKS │ 109.71 │ 110.78 │ 0.97 │ Buy │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ DocuSign │ DOCU │ 101.38 │ 98.54 │ -2.88 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Devon Energy │ DVN │ 59.57 │ 59.11 │ -0.78 │ Buy │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ eBay │ EBAY │ 55.66 │ 53.01 │ -5.00 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Freeport-McMoRan │ FCX │ 50.11 │ 47.03 │ -6.55 │ Buy │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Kohl's │ KSS │ 58.77 │ 54.06 │ -8.71 │ Buy │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Macy's │ M │ 24.80 │ 24.11 │ -2.86 │ Buy │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ MongoDB │ MDB │ 306.11 │ 334.60 │ 8.51 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ On Holding │ ONON │ 21.97 │ 22.04 │ 0.32 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Progress Software │ PRGS │ 44.28 │ 43.57 │ -1.63 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ The RealReal │ REAL │ 7.39 │ 6.86 │ -7.73 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Rivian │ RIVN │ 47.39 │ 45.08 │ -5.12 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Stitch Fix │ SFIX │ 11.17 │ 9.75 │ -14.56 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Virgin Galactic │ SPCE │ 7.84 │ 7.76 │ -1.03 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Splunk │ SPLK │ 129.06 │ 128.64 │ -0.33 │ Buy │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ AT\u0026amp;T │ T │ 23.87 │ 23.49 │ -1.62 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Trex │ TREX │ 74.68 │ 73.08 │ -2.19 │ Sell │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Hostess Brands │ TWNK │ 22.22 │ 21.21 │ -4.76 │ Buy │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Ulta Beauty │ ULTA │ 366.76 │ 372.62 │ 1.57 │ Buy │ ├───────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┤ │ Wheels Up │ UP │ 3.13 │ 3.54 │ 11.58 │ Buy │ └───────────────────────┴────────┴────────┴───────────┴────────────┴────────────────┘ "},{"id":141,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/jctr/","title":"Jctr","parent":"Introduction to the Behavioural Analysis","content":"usage: jctr [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] Show cramer recommendation for loaded ticker\n-h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) "},{"id":142,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/mentions/","title":"Mentions","parent":"Introduction to the Behavioural Analysis","content":"usage: mentions [-s START] [-h] Uses Google metrics to plot ticker mentions over time.\noptional arguments: -s START, --start START starting date (format YYYY-MM-DD) from when we are interested in stock's mentions. (default: 2020-09-15 00:00:00) -h, --help show this help message (default: False) "},{"id":143,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/messages/","title":"Messages","parent":"Introduction to the Behavioural Analysis","content":"usage: messages [-t TICKER] [-l N_LIM] [-h] Show the last posts for a ticker. Source: https://Stocktwits.com\noptional arguments: -t TICKER, --ticker TICKER get board messages from this ticker. (default: AAPL) -l N_LIM, --limit N_LIM limit messages shown. (default: 30) -h, --help show this help message (default: False) "},{"id":144,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/popular/","title":"Popular","parent":"Introduction to the Behavioural Analysis","content":"usage: popular [-l LIMIT] [-n NUM] [-s S_SUBREDDIT] [-h] The current popular tickers on Reddit\noptional arguments: -l LIMIT, --limit LIMIT limit of top tickers to retrieve (default: 10) -n NUM, --num NUM number of posts retrieved per sub reddit. (default: 50) -s S_SUBREDDIT, --sub S_SUBREDDIT subreddits to look for tickers, e.g. pennystocks,stocks. Default: pennystocks, RobinHoodPennyStocks, Daytrading, StockMarket, stocks, investing, wallstreetbets (default: None) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 10:31 (✨) /stocks/ba/ $ popular Search for latest tickers for 50 'Superstonk' posts 217 potential tickers found. Search for latest tickers for 50 'pennystocks' posts 107 potential tickers found. Search for latest tickers for 50 'RobinHoodPennyStocks' posts 7 potential tickers found. Search for latest tickers for 50 'Daytrading' posts 56 potential tickers found. Search for latest tickers for 50 'StockMarket' posts 77 potential tickers found. Search for latest tickers for 50 'stocks' posts 97 potential tickers found. Search for latest tickers for 50 'investing' posts 37 potential tickers found. Search for latest tickers for 50 'wallstreetbets' posts 31 potential tickers found. The following TOP 10 tickers have been mentioned: ┏━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ Mentions ┃ Ticker ┃ Company ┃ Sector ┃ Price ┃ Change ┃ Perf Month ┃ URL ┃ ┡━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ 57 │ GME │ GameStop Corp. │ Consumer Cyclical │ 129.34 │ 2.52% │ 8.15% │ https://finviz.com/quote.ashx?t=GME │ ├──────────┼────────┼────────────────────────────────────────────────────────┼──────────────────────┼────────┼─────────┼────────────┼──────────────────────────────────────┤ │ 40 │ POST │ Post Holdings, Inc. │ Consumer Defensive │ 109.14 │ -0.18% │ -7.18% │ https://finviz.com/quote.ashx?t=POST │ ├──────────┼────────┼────────────────────────────────────────────────────────┼──────────────────────┼────────┼─────────┼────────────┼──────────────────────────────────────┤ │ 10 │ SPY │ Financial │ Exchange Traded Fund │ 442.48 │ -0.81% │ -4.01% │ https://finviz.com/quote.ashx?t=SPY │ ├──────────┼────────┼────────────────────────────────────────────────────────┼──────────────────────┼────────┼─────────┼────────────┼──────────────────────────────────────┤ │ 8 │ QQQ │ Financial │ Exchange Traded Fund │ 351.15 │ -1.40% │ -6.28% │ https://finviz.com/quote.ashx?t=QQQ │ ├──────────┼────────┼────────────────────────────────────────────────────────┼──────────────────────┼────────┼─────────┼────────────┼──────────────────────────────────────┤ │ 6 │ VTI │ Vanguard Index Funds - Vanguard Total Stock Market ETF │ Financial │ 224.13 │ -0.86% │ -3.81% │ https://finviz.com/quote.ashx?t=VTI │ ├──────────┼────────┼────────────────────────────────────────────────────────┼──────────────────────┼────────┼─────────┼────────────┼──────────────────────────────────────┤ │ 5 │ AAPL │ Apple Inc. │ Technology │ 170.53 │ -1.31% │ -0.16% │ https://finviz.com/quote.ashx?t=AAPL │ ├──────────┼────────┼────────────────────────────────────────────────────────┼──────────────────────┼────────┼─────────┼────────────┼──────────────────────────────────────┤ │ 5 │ ESG │ Financial │ Exchange Traded Fund │ 107.88 │ -0.65% │ -4.64% │ https://finviz.com/quote.ashx?t=ESG │ ├──────────┼────────┼────────────────────────────────────────────────────────┼──────────────────────┼────────┼─────────┼────────────┼──────────────────────────────────────┤ │ 5 │ SHOP │ Shopify Inc. │ Technology │ 728.52 │ -18.10% │ -19.35% │ https://finviz.com/quote.ashx?t=SHOP │ ├──────────┼────────┼────────────────────────────────────────────────────────┼──────────────────────┼────────┼─────────┼────────────┼──────────────────────────────────────┤ │ 4 │ AMD │ Advanced Micro Devices, Inc. │ Technology │ 117.21 │ -3.51% │ -11.26% │ https://finviz.com/quote.ashx?t=AMD │ ├──────────┼────────┼────────────────────────────────────────────────────────┼──────────────────────┼────────┼─────────┼────────────┼──────────────────────────────────────┤ │ 4 │ NVDA │ NVIDIA Corporation │ Technology │ 258.61 │ -2.39% │ -1.66% │ https://finviz.com/quote.ashx?t=NVDA │ ├──────────┼────────┼────────────────────────────────────────────────────────┼──────────────────────┼────────┼─────────┼────────────┼──────────────────────────────────────┤ │ 3 │ RESN │ Resonant Inc. │ Technology │ 4.35 │ -1.01% │ 185.06% │ https://finviz.com/quote.ashx?t=RESN │ └──────────┴────────┴────────────────────────────────────────────────────────┴──────────────────────┴────────┴─────────┴────────────┴──────────────────────────────────────┘ "},{"id":145,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/queries/","title":"Queries","parent":"Introduction to the Behavioural Analysis","content":"usage: queries [-l LIMIT] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Print top related queries with this stock\u0026rsquo;s query. [Source: Google]\noptional arguments: -l LIMIT, --limit LIMIT limit of top related queries to print. (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 16, 10:38 (✨) /stocks/ba/ $ queries Top AMZN's related queries ┏━━━━━━━━━━━━━━━━━━┳━━━━━━━┓ ┃ query ┃ value ┃ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━━┩ │ amzn stock │ 100% │ ├──────────────────┼───────┤ │ amzn price │ 31% │ ├──────────────────┼───────┤ │ amzn stock price │ 26% │ ├──────────────────┼───────┤ │ aapl │ 25% │ ├──────────────────┼───────┤ │ tsla │ 18% │ ├──────────────────┼───────┤ │ aapl stock │ 15% │ ├──────────────────┼───────┤ │ fb stock │ 12% │ ├──────────────────┼───────┤ │ msft │ 12% │ ├──────────────────┼───────┤ │ tsla stock │ 12% │ ├──────────────────┼───────┤ │ goog │ 9% │ └──────────────────┴───────┘ "},{"id":146,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/reddit_sent/","title":"Reddit Sent","parent":"Introduction to the Behavioural Analysis","content":"usage: reddit_sent [-s {relevance,hot,top,new,comments}] [-c COMPANY] [--subreddits SUBREDDITS] [-l LIMIT] [-t {hour,day,week,month,year,all}] [-f] [-g] [-h] [--export EXPORT] Determine general Reddit sentiment about a ticker. [Source: Reddit]\noptional arguments: -s {relevance,hot,top,new,comments}, --sort {relevance,hot,top,new,comments} search sorting type -c COMPANY, --company COMPANY explicit name of company to search for, will override ticker symbol --subreddits SUBREDDITS comma-separated list of subreddits to search -l LIMIT, --limit LIMIT how many posts to gather from each subreddit -t {hour,day,week,month,year,all}, --time {hour,day,week,month,year,all} time period to get posts from -- all, year, month, week, or day; defaults to week -f, --full_search enable comprehensive search -g, --graphic display graphic -d, --display Print table of sentiment values -h, --help show this help message --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg Example:\nreddit_sent -c Google --subreddits tech,stocks -f Searching through subreddits for posts. 100%|█████████████████████████████████████████████████████████████████████████| 2/2 [00:01\u0026lt;00:00, 1.84it/s] Analyzing each post... 100%|███████████████████████████████████████████████████████████████████████| 10/10 [00:04\u0026lt;00:00, 2.07it/s] Sentiment Analysis for Google is 0.7552 "},{"id":147,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/regions/","title":"Regions","parent":"Introduction to the Behavioural Analysis","content":"usage: regions [-l LIMIT] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Plot bars of regions based on stock\u0026rsquo;s interest. [Source: Google]\noptional arguments: -l LIMIT, --limit LIMIT limit of regions to plot that show highest interest. (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":148,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/rise/","title":"Rise","parent":"Introduction to the Behavioural Analysis","content":"usage: rise [-l LIMIT] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Print top rising related queries with this stock\u0026rsquo;s query. [Source: Google]\noptional arguments: -l LIMIT, --limit LIMIT limit of top rising related queries to print. (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 16, 10:40 (✨) /stocks/ba/ $ rise Top rising AAPL's related queries ┏━━━━━━━━━━━━━━━━━┳━━━━━━━━┓ ┃ query ┃ value ┃ ┡━━━━━━━━━━━━━━━━━╇━━━━━━━━┩ │ nio stock │ 227850 │ ├─────────────────┼────────┤ │ nio │ 183950 │ ├─────────────────┼────────┤ │ pltr │ 103100 │ ├─────────────────┼────────┤ │ pltr stock │ 82800 │ ├─────────────────┼────────┤ │ mrna stock │ 75050 │ ├─────────────────┼────────┤ │ zm stock │ 67850 │ ├─────────────────┼────────┤ │ nio stock price │ 64000 │ ├─────────────────┼────────┤ │ zm │ 63500 │ ├─────────────────┼────────┤ │ bynd │ 61450 │ ├─────────────────┼────────┤ │ bynd stock │ 47450 │ └─────────────────┴────────┘ "},{"id":149,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/sentiment/","title":"Sentiment","parent":"Introduction to the Behavioural Analysis","content":"usage: sentiment [-l LIMIT] [-d N_DAYS_PAST] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Plot in-depth sentiment predicted from tweets from last days that contain pre-defined ticker. [Source: Twitter]\noptional arguments: -l LIMIT, --limit LIMIT limit of tweets to extract per hour. (default: 15) -d N_DAYS_PAST, --days N_DAYS_PAST number of days in the past to extract tweets. (default: 6) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 19, 13:16 (✨) /stocks/ba/ $ sentiment From 2022-02-19 retrieving 360 tweets (15 tweets/hour) From 2022-02-18 retrieving 360 tweets (15 tweets/hour) From 2022-02-17 retrieving 360 tweets (15 tweets/hour) From 2022-02-16 retrieving 360 tweets (15 tweets/hour) From 2022-02-15 retrieving 360 tweets (15 tweets/hour) From 2022-02-14 retrieving 360 tweets (15 tweets/hour) From 2022-02-13 retrieving 360 tweets (15 tweets/hour) "},{"id":150,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/snews/","title":"Snews","parent":"Introduction to the Behavioural Analysis","content":"usage: snews [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Display stock price and headlines sentiment using VADER model over time. [Source: Finnhub]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":151,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/spac/","title":"Spac","parent":"Introduction to the Behavioural Analysis","content":"usage: spac [-l N_LIMIT] [-h] Show other users SPACs announcement. [Source: Reddit]\noptional arguments: -l N_LIMIT, --limit N_LIMIT limit of posts with SPACs retrieved. (default: 5) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 10:42 (✨) /stocks/ba/ $ spac 2022-02-15 22:31:56 - 2020 vs 2021 https://old.reddit.com/r/wallstreetbets/comments/stfcdu/2020_vs_2021/ 2022-02-15 20:05:35 - Calls on the “W” this week should print…Wynn and Walmart calls baby.. https://old.reddit.com/r/wallstreetbets/comments/stbz5h/calls_on_the_w_this_week_should_printwynn_and/ 2022-02-13 18:09:23 - APEX Clearing, Peak 6, a power couple, poker and a failed SPAC. https://old.reddit.com/r/Superstonk/comments/srovzk/apex_clearing_peak_6_a_power_couple_poker_and_a/ 2022-02-11 19:30:21 - SPAC founders DO get 20% of hundreds of millions in stock for their 25k investment. And the par value for shares is so low, some fuckery can be done! https://old.reddit.com/r/Superstonk/comments/sq7hcz/spac_founders_do_get_20_of_hundreds_of_millions/ 2022-02-11 15:16:40 - In Q4 Citadel Advisors LLC bought 6.39% of FTCV - the SPAC that eToro will merge with in order to go public. https://old.reddit.com/r/Superstonk/comments/sq1qv8/in_q4_citadel_advisors_llc_bought_639_of_ftcv_the/ The following stock tickers have been mentioned more than once across the previous SPACs: 3 GME, 2 POST, 2 FTCV "},{"id":152,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/spac_c/","title":"Spac C","parent":"Introduction to the Behavioural Analysis","content":"usage: spac_c [-l N_LIMIT] [-p] [-h] Print other users SPACs announcements under subreddit \u0026lsquo;SPACs\u0026rsquo;. [Source: Reddit]\noptional arguments: -l N_LIMIT, --limit N_LIMIT limit of posts with SPACs retrieved (default: 10) -p, --popular popular flag, if true the posts retrieved are based on score rather than time (default: False) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 10:43 (✨) /stocks/ba/ $ spac_c 2022-02-16 11:35:01 - I scraped r/SPACs for the top ticker mentions in the last 24H. Here are the results (Wednesday February 16, 2022) https://old.reddit.com/r/SPACs/comments/sttsnl/i_scraped_rspacs_for_the_top_ticker_mentions_in/ 2022-02-16 09:26:19 - PPGH Gogoro confirms that it is expected to list overseas in the first quarter of this year https://old.reddit.com/r/SPACs/comments/strs9m/ppgh_gogoro_confirms_that_it_is_expected_to_list/ 2022-02-16 08:00:16 - Announcements x Daily Discussion for Wednesday, February 16, 2022 https://old.reddit.com/r/SPACs/comments/stqhci/announcements_x_daily_discussion_for_wednesday/ 2022-02-15 15:10:40 - Did IBKR resolve my SPAC redemptions wrongly? https://old.reddit.com/r/SPACs/comments/st52xb/did_ibkr_resolve_my_spac_redemptions_wrongly/ The following stock tickers have been mentioned more than once across the previous SPACs: 8 CCAC, 6 IBKR, 3 CLBT, 3 SLDP, 2 VIAC, 2 CND "},{"id":153,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/stalker/","title":"Stalker","parent":"Introduction to the Behavioural Analysis","content":"usage: stalker [-u S_USER] [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print up to the last 30 messages of a user. [Source: Stocktwits]\noptional arguments: -u S_USER, --user S_USER username. (default: Newsfilter) -l LIMIT, --limit LIMIT limit messages shown. (default: 30) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 10:44 (✨) /stocks/ba/ $ stalker ------------------------------------------------------------------------------ 2022-02-16 15:44:24 $APSI Form 8-K: On February 14, 2022, Aqua Power Systems acquired a digital asset commonly referred to as “land” within the Sandbox metaverse. The Sandbox is a decentralized, community-driven gaming e.. https://newsfilter.io/a/077c80e3595e23f3a9adf089f24220d1 ------------------------------------------------------------------------------ 2022-02-16 15:44:04 $ACT $GNW Increase in Long-Term Care Costs in Wisconsin Mirror National Trends; Labor Market Shifts and Continued COVID-19 Pressure Affect Future Costs https://newsfilter.io/a/acd6951639a15b873ff29dfe333c495e ------------------------------------------------------------------------------ 2022-02-16 15:43:44 $SYBT 2,571 shares acquired by Croce Michael (Executive Vice President), reported in a new form 4 filed with the SEC https://newsfilter.io/a/a9b224c7a3427af2d28a7d5482c2501a ------------------------------------------------------------------------------ 2022-02-16 15:43:30 Thinking about trading options or stock in Roblox, Meta, Block, Trade Desk, or Devon Energy? $DVN $FB $RBLX $SQ $TTD https://newsfilter.io/a/b7000be8e8b35ededc2abe4c246cd19a ------------------------------------------------------------------------------ 2022-02-16 15:43:08 $GRRB $338,254.00 of shares acquired by Schwiers James B (President \u0026amp;amp; COO), reported in a new form 4 filed with the SEC https://newsfilter.io/a/327d924ef4c507727b08b5f4989b1bd3 ------------------------------------------------------------------------------ 2022-02-16 15:42:07 $ARLP 794 shares acquired by Cantrell Brian L (Senior VP and CFO), reported in a new form 4 filed with the SEC https://newsfilter.io/a/0310350cc25f4d15959334893bd916dc ------------------------------------------------------------------------------ 2022-02-16 15:42:01 $ACT $GNW Increase in Long-Term Care Costs in Texas Mirror National Trends; Labor Market Shifts and Continued COVID-19 Pressure Affect Future Costs https://newsfilter.io/a/e86d458d9e48cacd03bb0fc4ed9031aa ------------------------------------------------------------------------------ 2022-02-16 15:41:26 $PDLB Form 3/A (initial statement of beneficial ownership of securities) filed with the SEC https://newsfilter.io/a/ec79f2f0558259465e6ed6be37208891 ------------------------------------------------------------------------------ 2022-02-16 15:40:54 $PDLB filed 2 new form 3/A (initial statement of beneficial ownership of securities) with the SEC in the last 2 minutes. 1. filing: https://newsfilter.io/a/d1c358598d5b7d9917f135004753dd3c 2. filing: https://newsfilter.io/a/e12fd3d79f67fe97b0349ebcec497594 ------------------------------------------------------------------------------ 2022-02-16 15:40:42 $ZNTE Form DEFA14A (additional definitive proxy soliciting materials and rule 14(a)(12) material) filed with the SEC https://newsfilter.io/a/81a6d11a7d635b22d0b63d97724877ba ------------------------------------------------------------------------------ 2022-02-16 15:40:08 Thinking about buying stock in Team, ViacomCBS, Kaival Brands, Ericsson, or Barrick Gold? $ERIC $GOLD $KAVL $TISI $VIAC https://newsfilter.io/a/587588716a671414014bf779eab21059 ------------------------------------------------------------------------------ 2022-02-16 15:40:07 Thinking about buying stock in Vinco Ventures, SoFi Technologies, Ford, Vonage, or BP? $BBIG $BP $F $SOFI $VG https://newsfilter.io/a/385fbe647e5e9ef2c9328bf3a9fbc9b6 ------------------------------------------------------------------------------ 2022-02-16 15:40:04 $ACT $GNW Increase in Long-Term Care Costs in Tennessee Mirror National Trends; Labor Market Shifts and Continued COVID-19 Pressure Affect Future Costs https://newsfilter.io/a/f0544ef5b76170ad50bc8359bac658e2 ------------------------------------------------------------------------------ 2022-02-16 15:39:54 $FTRP Field Trip Health Posts 330% YoY Increase In Q3 Revenue https://newsfilter.io/a/e2118ae4f28181fa49047b865af0ef41 ------------------------------------------------------------------------------ 2022-02-16 15:39:54 $KHC Kraft Heinz Stock Gains On Q4 Earnings Beat https://newsfilter.io/a/4a57861cd3455555baa7cb88705225c5 ------------------------------------------------------------------------------ 2022-02-16 15:39:54 $VIAC $CMCSA ViacomCBS Rebrands As Paramount: What You Need To Know https://newsfilter.io/a/1dee0b7add2966c50b08a6f213e69a4d ------------------------------------------------------------------------------ 2022-02-16 15:38:56 $ABNB Truist Securities analyst Naved Khan maintains Airbnb with a Hold and raises the price target from $180 to $190. ------------------------------------------------------------------------------ 2022-02-16 15:38:01 $ACT $GNW Change in Long-Term Care Costs in South Dakota Mixed; Labor Market Shifts and Continued COVID-19 Pressure Affect Future Costs https://newsfilter.io/a/157e15e71e3872ce73d3401098f3f855 ------------------------------------------------------------------------------ 2022-02-16 15:36:04 $ACT $GNW Increase in Long-Term Care Costs in Oklahoma Mirror National Trends; Labor Market Shifts and Continued COVID-19 Pressure Affect Future Costs https://newsfilter.io/a/ad6f8e78a059110c0837d6eef45c8955 ------------------------------------------------------------------------------ 2022-02-16 15:35:42 $ZNTE Form 8-K: Regulation FD Disclosure. As previously announced, Zanite Acquisition Corp. entered into a Business Combination Agreement with Embraer S.A. Embraer Aircraft Holding and EVE UAM, dated .. https://newsfilter.io/a/915ff8502b8a5c00b4664293ab6806ab ------------------------------------------------------------------------------ 2022-02-16 15:35:30 $HON Honeywell International was awarded a new government contract \u0026amp;quot;Repair of NIIN 014601334\u0026amp;quot;, total contract value: $4,959.84 https://newsfilter.io/a/36789929e1dafa14b062a20b211e6aca ------------------------------------------------------------------------------ 2022-02-16 15:35:02 $TCFC $V Webinar: Bringing Credit Issuing In-House in 2022 https://newsfilter.io/a/5dd17c223e94a8dc364e899a0eb95bb2 ------------------------------------------------------------------------------ 2022-02-16 15:34:51 $NRUC Form 424B3 (prospectus ) filed with the SEC https://newsfilter.io/a/fe2b5bf1ac582d745f6fadb886126695 ------------------------------------------------------------------------------ 2022-02-16 15:34:27 $ZNTE Form DEFA14A (additional definitive proxy soliciting materials and rule 14(a)(12) material) filed with the SEC https://newsfilter.io/a/c0d62bba8d60e10984b83bd681c3a455 ------------------------------------------------------------------------------ 2022-02-16 15:34:06 $NGG NIAGARA MOHAWK POWER DECLARES PREFERRED STOCK DIVIDENDS https://newsfilter.io/a/60b80cf78256233915c4a4ecacfb2626 ------------------------------------------------------------------------------ 2022-02-16 15:34:05 $PM Philip Morris International to Publish a Video Presentation at the 2022 Consumer Analyst Group of New York Virtual Conference https://newsfilter.io/a/adeaf7a6816bdc25b346f15c098f90cb ------------------------------------------------------------------------------ 2022-02-16 15:34:01 $ACT $GNW Change in Long-Term Care Costs in Nebraska Mixed; Labor Market Shifts and Continued COVID-19 Pressure Affect Future Costs https://newsfilter.io/a/f640abccc455086ae4b43f43ad4254fb ------------------------------------------------------------------------------ 2022-02-16 15:33:07 $PDLB Form 3/A (initial statement of beneficial ownership of securities) filed with the SEC https://newsfilter.io/a/bea839aee3a4f30dc384c7a90e21c701 ------------------------------------------------------------------------------ 2022-02-16 15:33:06 $ALKT Texans Credit Union Partners with Alkami to Amplify Its Digital Banking Experience https://newsfilter.io/a/198d92eb6e1c481b825b830659af8698 "},{"id":154,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/stats/","title":"Stats","parent":"Introduction to the Behavioural Analysis","content":"usage: stats [-h] Sentiment stats which displays buzz, news score, articles last week, articles weekly average, bullish vs bearish percentages, sector average bullish percentage, and sector average news score. [Source: https://finnhub.io]\noptional arguments: -h, --help show this help message (default: False) "},{"id":155,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/trend/","title":"Trend","parent":"Introduction to the Behavioural Analysis","content":"usage: trend [-s START] [-hr HOUR] [-n NUMBER] [-h] [--export {csv,json,xlsx}] [-l LIMIT] Show most talked about tickers within the last one hour. Source: [Sentiment Investor]\noptional arguments: -s START, --start START The starting date (format YYYY-MM-DD). Default: Today (default: 2022-02-16) -hr HOUR, --hour HOUR Hour of the day in the 24-hour notation. Example: 14 (default: 0) -n NUMBER, --number NUMBER Number of results returned from Sentiment Investor. Default: 10 (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) Example:\n2022 Feb 16, 10:50 (✨) /stocks/ba/ $ trend Most trending stocks at 2022-02-16 00:00 ┏━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━┓ ┃ TICKER ┃ TOTAL ┃ LIKES ┃ RHI ┃ AHI ┃ ┡━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━┩ │ AMC │ 120.00 │ 227.00 │ 1.70 │ 1.53 │ ├────────┼────────┼────────┼──────┼──────┤ │ BTC │ 97.00 │ 162.00 │ 1.75 │ 1.30 │ ├────────┼────────┼────────┼──────┼──────┤ │ SPY │ 88.00 │ 69.00 │ 1.48 │ 1.29 │ ├────────┼────────┼────────┼──────┼──────┤ │ NVDA │ 68.00 │ 34.00 │ 2.44 │ 2.57 │ ├────────┼────────┼────────┼──────┼──────┤ │ FB │ 51.00 │ 51.00 │ 1.11 │ 1.60 │ ├────────┼────────┼────────┼──────┼──────┤ │ TSLA │ 47.00 │ 53.00 │ 1.07 │ 0.81 │ ├────────┼────────┼────────┼──────┼──────┤ │ MANA │ 37.00 │ 84.00 │ 5.36 │ 3.86 │ ├────────┼────────┼────────┼──────┼──────┤ │ NIO │ 32.00 │ 21.00 │ 1.19 │ 0.87 │ ├────────┼────────┼────────┼──────┼──────┤ │ PLTR │ 31.00 │ 17.00 │ 1.45 │ 1.26 │ ├────────┼────────┼────────┼──────┼──────┤ │ ETH │ 23.00 │ 24.00 │ 1.61 │ 1.14 │ └────────┴────────┴────────┴──────┴──────┘ "},{"id":156,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/trending/","title":"Trending","parent":"Introduction to the Behavioural Analysis","content":"usage: trending [-h] Tickers trending on Stocktwits\noptional arguments: -h, --help show this help message (default: False) Example:\n2022 Feb 16, 10:50 (✨) /stocks/ba/ $ trending Trending Stocks ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ Ticker ┃ Watchlist Count ┃ Name ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ RBLX │ 57121 │ Roblox │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ SHOP │ 98777 │ Shopify │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ VIAC │ 18321 │ Viacom CBS, Inc │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ UPST │ 27649 │ Upstart │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ NVDA │ 350895 │ NVIDIA Corporation │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ ORGN │ 12019 │ Origin Materials │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ BCRX │ 36996 │ BioCryst Pharmaceuticals, Inc. │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ APPS │ 23164 │ Digital Turbine, Inc. │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ ABNB │ 44018 │ Airbnb │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ ACT │ 848 │ ADVISORSHARES T/VICE ETF │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ TTD │ 30946 │ The Trade Desk Inc │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ IBRX │ 10309 │ ImmunityBio Inc │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ GOLD │ 22601 │ Barrick Gold Corporation │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ SPCE │ 136010 │ Virgin Galactic Holdings Inc │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ AERC │ 5689 │ AeroClean Technologies Inc │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ KSCP │ 4896 │ Knightscope │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ AUPH │ 42395 │ Aurinia Pharmaceuticals Inc. │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ CROX │ 5925 │ CROCS Inc. │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ AI │ 20938 │ C3.ai Inc │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ ERIC │ 8548 │ LM Ericsson Telephone Co. │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ IMTE │ 7701 │ Integrated Media Technology Ltd │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ AMC │ 369648 │ AMC Entertainment │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ TIGR │ 10273 │ UP Fintech │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ MASI │ 1424 │ Masimo Corporation │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ BKKT │ 24761 │ Bakkt Holdings Inc - Ordinary Shares - Class A │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ SGLY │ 178 │ Sino Global Shipping America Ltd │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ BXRX │ 10174 │ Baudax Bio, Inc. │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ ARLP │ 1507 │ Alliance Resource Partners LP │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ WIX │ 6479 │ Wix │ ├────────┼─────────────────┼────────────────────────────────────────────────┤ │ GNRC │ 3090 │ Generac Holdings Inc. │ └────────┴─────────────────┴────────────────────────────────────────────────┘ "},{"id":157,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/watchlist/","title":"Watchlist","parent":"Introduction to the Behavioural Analysis","content":"usage: watchlist [-l N_LIMIT] [-h] Searches Reddit for users' watchlists.\noptional arguments: -l N_LIMIT, --limit N_LIMIT limit of posts with watchlists retrieved. (default: 5) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 10:52 (✨) /stocks/ba/ $ watchlist 2022-02-16 14:16:31 - Morning Update for Wednesday, 2/16/22 https://old.reddit.com/r/StockMarket/comments/stwy68/morning_update_for_wednesday_21622/ 2022-02-15 08:18:07 - Don't let family, friends, etc. influence you that you cannot make it + some general stock advice. https://old.reddit.com/r/Daytrading/comments/ssy2sw/dont_let_family_friends_etc_influence_you_that/ 2022-02-14 11:49:01 - Let's investigate stocks in Europe, Euronext ($ENX.PA) write up. https://old.reddit.com/r/stocks/comments/ss8sxb/lets_investigate_stocks_in_europe_euronext_enxpa/ 2022-02-13 21:46:46 - Looking for a platform that displays (or screens by) basic financial data with a good UI. https://old.reddit.com/r/stocks/comments/srtwxi/looking_for_a_platform_that_displays_or_screens/ 2022-02-11 17:31:13 - Clear Blue Technologies $CBLU.V $CBUTF QUICK LOOK, watchlist + portfolio addition 👀👀 👨🏽‍💻👩🏾‍💻 https://old.reddit.com/r/RobinHoodPennyStocks/comments/sq4t5o/clear_blue_technologies_cbluv_cbutf_quick_look/ "},{"id":158,"href":"/OpenBBTerminal/terminal/common/behavioural_analysis/wsb/","title":"Wsb","parent":"Introduction to the Behavioural Analysis","content":"usage: wsb [-l N_LIMIT] [-n] [-h] Get some inspiration for trade ideas from the infamous subReddit, WSB. [SourceL Reddit]\noptional arguments: -l N_LIMIT, --limit N_LIMIT limit of posts to print. (default: 10) -n, --new new flag, if true the posts retrieved are based on being more recent rather than their score. (default: False) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 10:52 (✨) /stocks/ba/ $ wsb 2022-02-16 11:00:14 - Daily Discussion Thread for February 16, 2022 https://old.reddit.com/r/wallstreetbets/comments/stt7n0/daily_discussion_thread_for_february_16_2022/ 2022-02-12 11:45:28 - Most Anticipated Earnings Releases for the week beginning February 14th, 2022 https://old.reddit.com/r/wallstreetbets/comments/sqpscq/most_anticipated_earnings_releases_for_the_week/ 2022-02-16 14:01:48 - Since losing money is cool here. https://old.reddit.com/r/wallstreetbets/comments/stwml0/since_loosing_money_is_cool_here/ 2022-02-16 11:42:50 - How to become a WSB mod 🌈🌈🌈 https://old.reddit.com/r/wallstreetbets/comments/sttx9d/how_to_become_a_wsb_mod/ 2022-02-15 23:19:28 - I don't get why this inflation thing is freaking people out https://old.reddit.com/r/wallstreetbets/comments/stggd7/i_dont_get_why_this_inflation_thing_is_freaking/) 2022-02-16 13:56:23 - Justice Department Is Pursuing Wide-Ranging Investigation of Short-Sellers https://old.reddit.com/r/wallstreetbets/comments/stwht2/justice_department_is_pursuing_wideranging/ 2022-02-15 21:24:58 - i was up 100% on upst puts https://old.reddit.com/r/wallstreetbets/comments/stdsqj/i_was_up_100_on_upst_puts/ 2022-02-15 19:33:03 - The over short thesis hasn't gone anywhere. https://old.reddit.com/r/wallstreetbets/comments/stb7gb/the_over_short_thesis_hasnt_gone_anywhere/ 2022-02-16 14:15:24 - Make GME, not war. https://old.reddit.com/r/wallstreetbets/comments/stwxa9/make_gme_not_war/ 2022-02-16 11:24:54 - Free Money Hack - Can’t Go Tits Up https://old.reddit.com/r/wallstreetbets/comments/sttmmb/free_money_hack_cant_go_tits_up/ "},{"id":159,"href":"/OpenBBTerminal/terminal/common/prediction_techniques/","title":"Prediction Techniques","parent":"Common","content":"Prediction Techniques are methods of using historical data to train machine learning models that can predict future outcomes based on statistical computations. Predictive analytics is being used by businesses to tackle difficulties such as choosing which items to advertise to specific client segments and on which platforms, as well as uncover new insights from existing data. Predictive modeling is defined as the process of approximating a mapping function (f) from input variables (X) to output variables (Y).\nAvailable commands Arima Conv1d Ets Knn Lstm MC Mlp Regression Rnn "},{"id":160,"href":"/OpenBBTerminal/terminal/common/prediction_techniques/arima/","title":"Arima","parent":"Prediction Techniques","content":"usage: arima [-d N_DAYS] [-i {aic,aicc,bic,hqic,oob}] [-s] [-o S_ORDER] [-r] [-e S_END_DATE] [-h] [--export {png,jpg,pdf,svg}] In statistics and econometrics, and in particular in time series analysis, an autoregressive integrated moving average (ARIMA) model is a generalization of an autoregressive moving average (ARMA) model. Both of these models are fitted to time series data either to better understand the data or to predict future points in the series (forecasting). ARIMA(p,d,q) where parameters p, d, and q are non-negative integers, p is the order (number of time lags) of the autoregressive model, d is the degree of differencing (the number of times the data have had past values subtracted), and q is the order of the moving-average model.\noptional arguments: -d N_DAYS, --days N_DAYS prediction days. (default: 5) -i {aic,aicc,bic,hqic,oob}, --ic {aic,aicc,bic,hqic,oob} information criteria. (default: aic) -s, --seasonal Use weekly seasonal data. (default: False) -o S_ORDER, --order S_ORDER arima model order (p,d,q) in format: p,d,q. (default: ) -r, --results results about ARIMA summary flag. (default: False) -e S_END_DATE, --end S_END_DATE The end date (format YYYY-MM-DD) to select - Backtesting (default: None) -h, --help show this help message (default: False) --export {png,jpg,pdf,svg} Export figure into png, jpg, pdf, svg (default: ) "},{"id":161,"href":"/OpenBBTerminal/terminal/common/prediction_techniques/conv1d/","title":"Conv1d","parent":"Prediction Techniques","content":"usage: conv1d [-d N_DAYS] [-i N_INPUTS] [--epochs N_EPOCHS] [-e S_END_DATE] [--batch_size N_BATCH_SIZE] [--xla_cpu] [--xla_gpu] [--force_gpu_allow_growth {true,false,default}] [--loops N_LOOPS] [-v VALID_SPLIT] [--lr LR] [--no_shuffle] [-h] 1D Convolutional Neural Net.\noptional arguments: -d N_DAYS, --days N_DAYS prediction days. -i N_INPUTS, --input N_INPUTS number of days to use for prediction. --epochs N_EPOCHS number of training epochs. -e S_END_DATE, --end S_END_DATE The end date (format YYYY-MM-DD) to select - Backtesting --batch_size N_BATCH_SIZE batch size for model fitting (use a power of 2) --xla_cpu enable XLA for CPU (see https://www.tensorflow.org/xla) --xla_gpu enable XLA for GPU (see https://www.tensorflow.org/xla) --force_gpu_allow_growth {true,false,default} true: GPU memory will grow as needed. false: TensorFlow will allocate 100% of GPU memory. default: usually the same as false, uses env/TensorFlow default --loops N_LOOPS number of loops to iterate and train models -v VALID_SPLIT, --valid VALID_SPLIT Validation data split fraction --lr LR Specify learning rate for optimizer. --no_shuffle Specify if shuffling validation inputs. -h, --help show this help message "},{"id":162,"href":"/OpenBBTerminal/terminal/common/prediction_techniques/ets/","title":"Ets","parent":"Prediction Techniques","content":"usage: ets [-d N_DAYS] [-t TREND] [-s SEASONAL] [-p SEASONAL_PERIODS] [-e S_END_DATE] [-h] Exponential Smoothing, see https://otexts.com/fpp2/taxonomy.html Trend=\u0026lsquo;N\u0026rsquo;, Seasonal=\u0026lsquo;N\u0026rsquo;: Simple Exponential Smoothing Trend=\u0026lsquo;N\u0026rsquo;, Seasonal=\u0026lsquo;A\u0026rsquo;: Exponential Smoothing Trend=\u0026lsquo;N\u0026rsquo;, Seasonal=\u0026lsquo;M\u0026rsquo;: Exponential Smoothing Trend=\u0026lsquo;A\u0026rsquo;, Seasonal=\u0026lsquo;N\u0026rsquo;: Holt’s linear method Trend=\u0026lsquo;A\u0026rsquo;, Seasonal=\u0026lsquo;A\u0026rsquo;: Additive Holt-Winters’ method Trend=\u0026lsquo;A\u0026rsquo;, Seasonal=\u0026lsquo;M\u0026rsquo;: Multiplicative Holt-Winters’ method Trend=\u0026lsquo;Ad\u0026rsquo;, Seasonal=\u0026lsquo;N\u0026rsquo;: Additive damped trend method Trend=\u0026lsquo;Ad\u0026rsquo;, Seasonal=\u0026lsquo;A\u0026rsquo;: Exponential Smoothing Trend=\u0026lsquo;Ad\u0026rsquo;, Seasonal=\u0026lsquo;M\u0026rsquo;: Holt-Winters’ damped method Trend component: N: None, A: Additive, Ad: Additive Damped Seasonality component: N: None, A: Additive, M: Multiplicative\noptional arguments: -d N_DAYS, --days N_DAYS prediction days. -t TREND, --trend TREND Trend component: N: None, A: Additive, Ad: Additive Damped. -s SEASONAL, --seasonal SEASONAL Seasonality component: N: None, A: Additive, M: Multiplicative. -p SEASONAL_PERIODS, --periods SEASONAL_PERIODS Seasonal periods. -e S_END_DATE, --end S_END_DATE The end date (format YYYY-MM-DD) to select - Backtesting -h, --help show this help message "},{"id":163,"href":"/OpenBBTerminal/terminal/common/prediction_techniques/knn/","title":"Knn","parent":"Prediction Techniques","content":"usage: knn [-i N_INPUTS] [-d N_DAYS] [-j N_JUMPS] [-n N_NEIGHBORS] [-e S_END_DATE] [-t VALID_SPLIT] [-p {normalization,standardization,minmax,none}] [--no_shuffle] [-h] K nearest neighbors is a simple algorithm that stores all available cases and predict the numerical target based on a similarity measure (e.g. distance functions).\noptional arguments: -i N_INPUTS, --input N_INPUTS number of days to use as input for prediction. -d N_DAYS, --days N_DAYS prediction days. -j N_JUMPS, --jumps N_JUMPS number of jumps in training data. -n N_NEIGHBORS, --neighbors N_NEIGHBORS number of neighbors to use on the algorithm. -e S_END_DATE, --end S_END_DATE The end date (format YYYY-MM-DD) to select for testing -t VALID_SPLIT, --test_size VALID_SPLIT Percentage of data to validate in sample -p {normalization,standardization,minmax,none}, --pp {normalization,standardization,minmax,none} pre-processing data. --no_shuffle Specify if shuffling validation inputs. -h, --help show this help message "},{"id":164,"href":"/OpenBBTerminal/terminal/common/prediction_techniques/lstm/","title":"Lstm","parent":"Prediction Techniques","content":"usage: lstm [-d N_DAYS] [-i N_INPUTS] [--epochs N_EPOCHS] [-e S_END_DATE] [--batch_size N_BATCH_SIZE] [--xla_cpu] [--xla_gpu] [--force_gpu_allow_growth {true,false,default}] [--loops N_LOOPS] [-v VALID_SPLIT] [--lr LR] [--no_shuffle] [-h] Long-Short Term Memory\nDue to the complexity of defining a model through command line, one can define it in: config_neural_network_models.py\nLong_Short_Term_Memory \\ = [ {'LSTM': {'units':25, 'activation':'tanh', 'return_sequences':True} }, {'LSTM': {'units':15, 'activation':'tanh', 'return_sequences':False} }, {'Dense': {'activation':'relu'} }] optional arguments: -d N_DAYS, --days N_DAYS prediction days. -i N_INPUTS, --input N_INPUTS number of days to use for prediction. --epochs N_EPOCHS number of training epochs. -e S_END_DATE, --end S_END_DATE The end date (format YYYY-MM-DD) to select - Backtesting --batch_size N_BATCH_SIZE batch size for model fitting (use a power of 2) --xla_cpu enable XLA for CPU (see https://www.tensorflow.org/xla) --xla_gpu enable XLA for GPU (see https://www.tensorflow.org/xla) --force_gpu_allow_growth {true,false,default} true: GPU memory will grow as needed. false: TensorFlow will allocate 100% of GPU memory. default: usually the same as false, uses env/TensorFlow default --loops N_LOOPS number of loops to iterate and train models -v VALID_SPLIT, --valid VALID_SPLIT Validation data split fraction --lr LR Specify learning rate for optimizer. --no_shuffle Specify if shuffling validation inputs. -h, --help show this help message "},{"id":165,"href":"/OpenBBTerminal/terminal/common/prediction_techniques/mc/","title":"MC","parent":"Prediction Techniques","content":"usage: mc [-d N_DAYS] [-n N_SIMS] [--dist {normal,lognormal}] [-h] [--export {png,jpg,pdf,svg}] Perform Monte Carlo forecasting\noptional arguments: -d N_DAYS, --days N_DAYS Days to predict (default: 30) -n N_SIMS, --num N_SIMS Number of simulations to perform (default: 100) --dist {normal,lognormal} Whether to model returns or log returns (default: lognormal) -h, --help show this help message (default: False) --export {png,jpg,pdf,svg} Export figure into png, jpg, pdf, svg (default: ) "},{"id":166,"href":"/OpenBBTerminal/terminal/common/prediction_techniques/mlp/","title":"Mlp","parent":"Prediction Techniques","content":"usage: mlp [-d N_DAYS] [-i N_INPUTS] [--epochs N_EPOCHS] [-e S_END_DATE] [--batch_size N_BATCH_SIZE] [--xla_cpu] [--xla_gpu] [--force_gpu_allow_growth {true,false,default}] [--loops N_LOOPS] [-v VALID_SPLIT] [--lr LR] [--no_shuffle] [-h] Multi-Layered-Perceptron.\nDue to the complexity of defining a model through command line, one can define it in: config_neural_network_models.txt\nMultiLayer_Perceptron \\ = [ {'Dense': {'units':50, 'activation':'relu'} }, {'Dense': {'units':100, 'activation':'relu'} }, {'Dense': {'units':80, 'activation':'relu'} }, {'Dense': {'units':30, 'activation':'relu'} }, {'Dense': {'activation':'relu'} }] optional arguments: -d N_DAYS, --days N_DAYS prediction days. -i N_INPUTS, --input N_INPUTS number of days to use for prediction. --epochs N_EPOCHS number of training epochs. -e S_END_DATE, --end S_END_DATE The end date (format YYYY-MM-DD) to select - Backtesting --batch_size N_BATCH_SIZE batch size for model fitting (use a power of 2) --xla_cpu enable XLA for CPU (see https://www.tensorflow.org/xla) --xla_gpu enable XLA for GPU (see https://www.tensorflow.org/xla) --force_gpu_allow_growth {true,false,default} true: GPU memory will grow as needed. false: TensorFlow will allocate 100% of GPU memory. default: usually the same as false, uses env/TensorFlow default --loops N_LOOPS number of loops to iterate and train models -v VALID_SPLIT, --valid VALID_SPLIT Validation data split fraction --lr LR Specify learning rate for optimizer. --no_shuffle Specify if shuffling validation inputs. -h, --help show this help message "},{"id":167,"href":"/OpenBBTerminal/terminal/common/prediction_techniques/regression/","title":"Regression","parent":"Prediction Techniques","content":"usage: regression [-i N_INPUTS] [-d N_DAYS] [-j N_JUMPS] [-e S_END_DATE] [-p N_POLYNOMIAL] [-h] [--export {png,jpg,pdf,svg}] Regression attempts to model the relationship between two variables by fitting a linear/quadratic/cubic/other equation to observed data. One variable is considered to be an explanatory variable, and the other is considered to be a dependent variable.\noptional arguments: -i N_INPUTS, --input N_INPUTS number of days to use for prediction. -d N_DAYS, --days N_DAYS prediction days. -j N_JUMPS, --jumps N_JUMPS number of jumps in training data. -e S_END_DATE, --end S_END_DATE The end date (format YYYY-MM-DD) to select - Backtesting -p N_POLYNOMIAL, --polynomial N_POLYNOMIAL polynomial associated with regression. -h, --help show this help message --export {png,jpg,pdf,svg} Export figure into png, jpg, pdf, svg "},{"id":168,"href":"/OpenBBTerminal/terminal/common/prediction_techniques/rnn/","title":"Rnn","parent":"Prediction Techniques","content":"usage: rnn [-d N_DAYS] [-i N_INPUTS] [--epochs N_EPOCHS] [-e S_END_DATE] [--batch_size N_BATCH_SIZE] [--xla_cpu] [--xla_gpu] [--force_gpu_allow_growth {true,false,default}] [--loops N_LOOPS] [-v VALID_SPLIT] [--lr LR] [--no_shuffle] [-h] Recurrent Neural Network\nDue to the complexity of defining a model through command line, one can define it in: config_neural_network_models.txt\nRecurrent_Neural_Network \\ = [ {'SimpleRNN': {'units':100, 'activation':'linear', 'return_sequences':True} }, {'SimpleRNN': {'units':50, 'activation':'linear', 'return_sequences':True} }, {'Dropout': {'rate':0.2} }, {'SimpleRNN': {'units':21, 'activation':'linear', 'return_sequences':False} }, {'Dense': {'activation':'relu'} }] optional arguments: -d N_DAYS, --days N_DAYS prediction days. -i N_INPUTS, --input N_INPUTS number of days to use for prediction. --epochs N_EPOCHS number of training epochs. -e S_END_DATE, --end S_END_DATE The end date (format YYYY-MM-DD) to select - Backtesting --batch_size N_BATCH_SIZE batch size for model fitting (use a power of 2) --xla_cpu enable XLA for CPU (see https://www.tensorflow.org/xla) --xla_gpu enable XLA for GPU (see https://www.tensorflow.org/xla) --force_gpu_allow_growth {true,false,default} true: GPU memory will grow as needed. false: TensorFlow will allocate 100% of GPU memory. default: usually the same as false, uses env/TensorFlow default --loops N_LOOPS number of loops to iterate and train models -v VALID_SPLIT, --valid VALID_SPLIT Validation data split fraction --lr LR Specify learning rate for optimizer. --no_shuffle Specify if shuffling validation inputs. -h, --help show this help message "},{"id":169,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/","title":"Quantitative Analysis","parent":"Common","content":"In finance and investment management, Quantitative Analysis refers to the application of mathematical and statistical methodologies. Quantitative analysts are those that work in this subject (quants). Quants typically focus on a few topics, such as derivative structure or pricing, risk management, algorithmic trading, and investment management. Industrial mathematics jobs are similar to those in other industries. The procedure usually entails scanning through large databases for patterns, such as correlations between liquid assets or price movement patterns (trend following or mean reversion). High-frequency trading may be used in the resulting strategies.\nAvailable commands Acf Bw Capm Cdf Cusum Decompose Es Hist Kurtosis Line Load Normality Om Pick Qqplot Quantile Raw Rolling Sh Skew So Spread Summary Unitroot Var "},{"id":170,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/acf/","title":"Acf","parent":"Quantitative Analysis","content":"usage: acf [-l LAGS] [-h] Auto-Correlation and Partial Auto-Correlation Functions for diff and diff diff stock data, see source: http://sciencedirect.com/topics/chemistry/autocorrelation-function\nThe autocorrelation function (ACF) defines how data points in a time series are related, on average, to the preceding data points (Box, Jenkins, \u0026amp; Reinsel, 1994).\nA positive autocorrelation value for a particular lag τ can be interpreted as a measure of persistence of data points separated by this lag to stay above and/or below the mean value of the signal. A negative autocorrelation indicates that data points separated by this lag tend to alternate about the mean value. An important piece of information provided by the ACF is the maximum lag τmax that still has a significant value. This lag indicates the “memory” or temporal persistence of the fluctuation series. Data points separated by time lags greater than τmax are uncoupled. The ACF is often redundantly plotted for positive and negative values of τ, although by definition it is symmetric about τ = 0.\noptional arguments: -l LAGS, --lags LAGS maximum lags to display in plots (default: 15) -h, --help show this help message (default: False "},{"id":171,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/bw/","title":"Bw","parent":"Quantitative Analysis","content":"usage: bw [-y] [-h] Almost the same as a candle chart but with the very small difference that in addition to the open, close, min, max values it is also possible to specify a fifth, median value. The median lies between the open and close value and is illustrated as a horizontal line within the bar.\noptional arguments: -y, --yearly Flag to show yearly bw plot (default: False) -h, --help show this help message (default: False) "},{"id":172,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/capm/","title":"Capm","parent":"Quantitative Analysis","content":"usage: capm [-h] Provides detailed information about a stock\u0026rsquo;s risk compared to the market risk.\noptional arguments: -h, --help show this help message (default: False) Example:\n2022 Feb 16, 11:01 (✨) /stocks/qa/ $ load tsla Loading Daily TSLA stock with starting period 2019-02-11 for analysis. Datetime: 2022 Feb 16 11:02 Timezone: America/New_York Currency: USD Market: CLOSED 2022 Feb 16, 11:02 (✨) /stocks/qa/ $ capm Beta: 2.02 Systematic Risk: 23.09% Unsystematic Risk: 76.91% "},{"id":173,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/cdf/","title":"Cdf","parent":"Quantitative Analysis","content":"usage: cdf [--export {csv,json,xlsx}] [-h] Explanation excerpt from: https://www.probabilitycourse.com/chapter3/3_2_1_cdf.php\nThe cumulative distribution function (CDF) of a random variable is another method to describe the distribution of random variables. The advantage of the CDF is that it can be defined for any kind of random variable (discrete, continuous, and mixed).\nThe cumulative distribution function (CDF) of random variable X is defined as:\n F X ( x ) = P ( X \u0026#x2264; x ) , \u0026#xA0;for all\u0026#xA0; x \u0026#x2208; R . Contextual Example: I toss a coin twice. Let X be the number of observed heads. Find the CDF of X\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":174,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/cusum/","title":"Cusum","parent":"Quantitative Analysis","content":"usage: cusum [-t THRESHOLD] [-d DRIFT] [-h] Cumulative Sum Control Chart. A stochastic wave used as a stock market breadth indicator in mid-to-long term analysis, it is a sequential analysis technique for step detection in a time-series. The threshold can be thought of as the level where the background noise is at or below the level of the true signal.\nSee this paper for a deep dive: https://econpapers.wiwi.kit.edu/downloads/KITe_WP_62.pdf\noptional arguments: -t THRESHOLD, --threshold THRESHOLD threshold (default: 0.002988466304844406) -d DRIFT, --drift DRIFT drift (default: 0.001494233152422203) -h, --help show this help message (default: False) "},{"id":175,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/decompose/","title":"Decompose","parent":"Quantitative Analysis","content":"usage: decompose [-m] [--export {csv,json,xlsx}] [-h] This type of forcasting attempts to separate and index factors thought to have meaningful impact on the otherwise random movements in stock prices.\nDecompose time series as:\n Additive Time Series = Level + CyclicTrend + Residual + Seasonality Multiplicative Time Series = Level * CyclicTrend * Residual * Seasonality For a detailed research paper discussing analysis of the Indian Auto Sector, download the PDF here: https://www.researchgate.net/publication/290263806_Decomposition_of_Time_Series_Data_of_Stock_Markets_and_its_Implications_for_Prediction_-_An_Application_for_the_Indian_Auto_Sector\n\u0026ldquo;This will help in stock selection in the following ways. First, it will indicate the overall trend of the sector, hence the stock price, and help in taking a position. Second, if seasonality patterns can be seen, then during which month which sector and hence which stock should be a good buy, can be inferred. Third, the random component will throw some light on the volatility pattern of the sector and hence the stock. This decomposition will indicate which of the three components are stronger and can shed further light on the efficient market hypothesis. The decomposition will bring out the overall macroeconomic characteristic of a sector, which affects the fundamentals of a company.\u0026rdquo;\noptional arguments: -m, --multiplicative decompose using multiplicative model instead of additive (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 11:06 (✨) /stocks/qa/ $ decompose Time-Series Level is 2660.84 Strength of Trend: 0.0000 Strength of Seasonality: 0.0032 "},{"id":176,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/es/","title":"Es","parent":"Quantitative Analysis","content":"usage: es [-m] [-d {laplace,student_t,logistic,normal}] [-p PERCENTILE] [-h] Provides Expected Shortfall (short: ES) of the selected stock.\noptional arguments: -m, --mean If one should use the mean of the stocks return (default: False) -d {laplace,student_t,logistic,normal}, --dist {laplace,student_t,logistic,normal}, --distributions {laplace,student_t,logistic,normal} Distribution used for the calculations (default: normal) -p PERCENTILE, --percentile PERCENTILE Percentile used for ES calculations, for example input 99.9 equals a 99.9 Percent Expected Shortfall (default: 99.9) -h, --help show this help message (default: False) Example:\n2022 Feb 25, 06:50 (✨) /stocks/qa/ $ es TSLA Expected Shortfall ┏━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ ┃ ES: ┃ Historical ES: ┃ ┡━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ 90.0% │ -0.0752 │ -0.0705 │ ├───────┼─────────┼────────────────┤ │ 95.0% │ -0.0885 │ -0.0932 │ ├───────┼─────────┼────────────────┤ │ 99.0% │ -0.1144 │ -0.1561 │ ├───────┼─────────┼────────────────┤ │ 99.9% │ -0.1444 │ -0.2106 │ └───────┴─────────┴────────────────┘ "},{"id":177,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/hist/","title":"Hist","parent":"Quantitative Analysis","content":"usage: hist [-b N_BINS] [-h] Histogram of proportional gains by entry point from a specified date, divisible into a specified number of distributed groups.\noptional arguments: -b N_BINS, --bins N_BINS -h, --help show this help message (default: False) "},{"id":178,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/kurtosis/","title":"Kurtosis","parent":"Quantitative Analysis","content":"usage: kurtosis [-l N_LENGTH] [--export {csv,json,xlsx}] [-h] Kurtosis is a measure of the \u0026ldquo;tailedness\u0026rdquo; of the probability distribution of a real-valued random variable. Like skewness, kurtosis describes the shape of a probability distribution and there are different ways of quantifying it for a theoretical distribution and corresponding ways of estimating it from a sample from a population. Different measures of kurtosis may have different interpretations.\nFor research on this topic, visit: https://www.styleadvisor.com/resources/statfacts/kurtosis\nKurtosis identifies where the volatility risk came from in a distribution of returns. Kurtosis improves one’s understanding of volatility risk.\nKurtosis is also known as the fourth moment of the distribution, used in conjunction with mean, standard deviation, and skewness to understand the shape of a distribution of returns. In its base case, kurtosis has a neutral value of 3.0. The calculation is frequently modified by the second term in the equation below, which scales kurtosis so that the baseline, neutral value is 0.0.\noptional arguments: -l N_LENGTH, --length N_LENGTH length (default: 14) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":179,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/line/","title":"Line","parent":"Quantitative Analysis","content":"usage: line [--log] [-d] [--ml ML] [--ms MS] [-h] [--export {png,jpg,pdf,svg}] Show line plot of selected data and allow to draw lines or highlight specific datetimes.\noptional arguments: --log Plot with y on log scale (default: False) -d, --draw Draw lines and annotate on the plot (default: False) --ml ML Draw vertical line markers to highlight certain events (default: ) --ms MS Draw scatter markers to highlight certain events (default: ) -h, --help show this help message (default: False) --export {png,jpg,pdf,svg} Export figure into png, jpg, pdf, svg (default: ) "},{"id":180,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/load/","title":"Load","parent":"Quantitative Analysis","content":"Use the load command within the submenu.\n"},{"id":181,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/normality/","title":"Normality","parent":"Quantitative Analysis","content":"usage: normality [--export {csv,json,xlsx}] [-h] Normality tests\nTo learn more about this subject, visit the Wiki page: https://en.wikipedia.org/wiki/Normality_test\nA 2011 study concludes that Shapiro–Wilk has the best power for a given significance, followed closely by Anderson–Darling when comparing the Shapiro–Wilk, Kolmogorov–Smirnov, Lilliefors, and Anderson–Darling tests.\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 11:11 (✨) /stocks/qa/ $ normality Normality Statistics ┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┓ ┃ ┃ Statistic ┃ p-value ┃ ┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━┩ │ Kurtosis │ 10.2422 │ 0.0000 │ ├────────────────────┼───────────┼─────────┤ │ Skewness │ -0.2238 │ 0.8229 │ ├────────────────────┼───────────┼─────────┤ │ Jarque-Bera │ 1155.1958 │ 0.0000 │ ├────────────────────┼───────────┼─────────┤ │ Shapiro-Wilk │ 0.9265 │ 0.0000 │ ├────────────────────┼───────────┼─────────┤ │ Kolmogorov-Smirnov │ 0.4680 │ 0.0000 │ └────────────────────┴───────────┴─────────┘ "},{"id":182,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/om/","title":"Om","parent":"Quantitative Analysis","content":"usage: om [-s START] [-e END] [-h] Provides omega ratio of the selected stock.\nThe omega ratio is the probability weighted ratio of gains versus losses for a threshold return. This is in practice done by getting the sum of the returns above the threshold return and of the returns below it and then calculating the ratio between these sums. For more, read: https://en.wikipedia.org/wiki/Omega_ratio\noptional arguments: -s START, --start START Start of the omega ratio threshold (default: 0) -e END, --end END End of the omega ratio threshold (default: 1.5) -h, --help show this help message (default: False) "},{"id":183,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/pick/","title":"Pick","parent":"Quantitative Analysis","content":"usage: pick [-t {Open,High,Low,Close,AdjClose,Volume,Returns,LogRet}] [-h] Select a target variable from the available arguments listed.\noptional arguments: -t {Open,High,Low,Close,AdjClose,Volume,Returns,LogRet}, --target {Open,High,Low,Close,AdjClose,Volume,Returns,LogRet} Select variable to analyze (default: None) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 11:12 (✨) /stocks/qa/ $ load tsla Loading Daily TSLA stock with starting period 2019-02-11 for analysis. Datetime: 2022 Feb 16 11:12 Timezone: America/New_York Currency: USD Market: CLOSED 2022 Feb 16, 11:12 (✨) /stocks/qa/ $ pick adjclose "},{"id":184,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/qqplot/","title":"Qqplot","parent":"Quantitative Analysis","content":"usage: qqplot [-h] Display Q-Q plot vs normal quantiles. See the Wiki page on this topic here: https://en.wikipedia.org/wiki/Q–Q_plot\nA Q–Q plot is used to compare the shapes of distributions, providing a graphical view of how properties such as location, scale, and skewness are similar or different in the two distributions. Q–Q plots can be used to compare collections of data, or theoretical distributions. The use of Q–Q plots to compare two samples of data can be viewed as a non-parametric approach to comparing their underlying distributions. A Q–Q plot is generally a more powerful approach to do this than the common technique of comparing histograms of the two samples, but requires more skill to interpret. Q–Q plots are commonly used to compare a data set to a theoretical model.\nThe points plotted in a Q–Q plot are always non-decreasing when viewed from left to right. If the two distributions being compared are identical, the Q–Q plot follows the 45° line y = x. If the two distributions agree after linearly transforming the values in one of the distributions, then the Q–Q plot follows some line, but not necessarily the line y = x. If the general trend of the Q–Q plot is flatter than the line y = x, the distribution plotted on the horizontal axis is more dispersed than the distribution plotted on the vertical axis. Conversely, if the general trend of the Q–Q plot is steeper than the line y = x, the distribution plotted on the vertical axis is more dispersed than the distribution plotted on the horizontal axis. Q–Q plots are often arced, or \u0026ldquo;S\u0026rdquo; shaped, indicating that one of the distributions is more skewed than the other, or that one of the distributions has heavier tails than the other.\nAlthough a Q–Q plot is based on quantiles, in a standard Q–Q plot it is not possible to determine which point in the Q–Q plot determines a given quantile. For example, it is not possible to determine the median of either of the two distributions being compared by inspecting the Q–Q plot. Some Q–Q plots indicate the deciles to make determinations such as this possible.\nThe intercept and slope of a linear regression between the quantiles gives a measure of the relative location and relative scale of the samples. If the median of the distribution plotted on the horizontal axis is 0, the intercept of a regression line is a measure of location, and the slope is a measure of scale. The distance between medians is another measure of relative location reflected in a Q–Q plot. The \u0026ldquo;probability plot correlation coefficient\u0026rdquo; (PPCC plot) is the correlation coefficient between the paired sample quantiles. The closer the correlation coefficient is to one, the closer the distributions are to being shifted, scaled versions of each other. For distributions with a single shape parameter, the probability plot correlation coefficient plot provides a method for estimating the shape parameter – one simply computes the correlation coefficient for different values of the shape parameter, and uses the one with the best fit, just as if one were comparing distributions of different types.\nAnother common use of Q–Q plots is to compare the distribution of a sample to a theoretical distribution, such as the standard normal distribution N(0,1), as in a normal probability plot. As in the case when comparing two samples of data, one orders the data (formally, computes the order statistics), then plots them against certain quantiles of the theoretical distribution.\noptional arguments: -h, --help show this help message (default: False) "},{"id":185,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/quantile/","title":"Quantile","parent":"Quantitative Analysis","content":"usage: quantile [-l N_LENGTH] [-q F_QUANTILE] [--export {csv,json,xlsx}] [-h] In statistics and probability, quantiles are cut points dividing the range of a probability distribution into continuous intervals with equal probabilities, or dividing the observations in a sample in the same way.\nThe quantiles are values which divide the distribution such that there is a given proportion of observations below the quantile. For example, the median is a quantile. The median is the central value of the distribution, such that half the points are less than or equal to it and half are greater than or equal to it. By default, q is set at 0.5, which effectively is median. Change q to get the desired quantile (0 \u0026lt; q \u0026lt; 1).\nSee the Wiki page on this topic for further explanation: https://en.wikipedia.org/wiki/Quantile\noptional arguments: -l N_LENGTH, --length N_LENGTH length (default: 14) -q F_QUANTILE, --quantile F_QUANTILE quantile (default: 0.5) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":186,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/raw/","title":"Raw","parent":"Quantitative Analysis","content":"usage: raw [-n NUM] [-d] [-h] [--export {csv,json,xlsx}] Shows historical daily value for the target value.\noptional arguments: -n NUM, --num NUM Number to show (default: 20) -d, --descend Sort in descending order (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 11:05 (✨) /stocks/qa/ $ raw Raw Data ┏━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Adjclose ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━┩ │ 2022-01-19 │ 995.650 │ ├────────────┼──────────┤ │ 2022-01-20 │ 996.270 │ ├────────────┼──────────┤ │ 2022-01-21 │ 943.900 │ ├────────────┼──────────┤ │ 2022-01-24 │ 930.000 │ ├────────────┼──────────┤ │ 2022-01-25 │ 918.400 │ ├────────────┼──────────┤ │ 2022-01-26 │ 937.410 │ ├────────────┼──────────┤ │ 2022-01-27 │ 829.100 │ ├────────────┼──────────┤ │ 2022-01-28 │ 846.350 │ ├────────────┼──────────┤ │ 2022-01-31 │ 936.720 │ ├────────────┼──────────┤ │ 2022-02-01 │ 931.250 │ ├────────────┼──────────┤ │ 2022-02-02 │ 905.660 │ ├────────────┼──────────┤ │ 2022-02-03 │ 891.140 │ ├────────────┼──────────┤ │ 2022-02-04 │ 923.320 │ ├────────────┼──────────┤ │ 2022-02-07 │ 907.340 │ ├────────────┼──────────┤ │ 2022-02-08 │ 922.000 │ ├────────────┼──────────┤ │ 2022-02-09 │ 932.000 │ ├────────────┼──────────┤ │ 2022-02-10 │ 904.550 │ ├────────────┼──────────┤ │ 2022-02-11 │ 860.000 │ ├────────────┼──────────┤ │ 2022-02-14 │ 875.760 │ ├────────────┼──────────┤ │ 2022-02-15 │ 922.430 │ └────────────┴──────────┘ "},{"id":187,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/rolling/","title":"Rolling","parent":"Quantitative Analysis","content":"usage: rolling [-l N_LENGTH] [--export {csv,json,xlsx}] [-h] Rolling mean and std deviation, To learn more on this topic, visit: https://www.mathsisfun.com/data/standard-normal-distribution.html\noptional arguments: -l N_LENGTH, --length N_LENGTH Window length (default: 14) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":188,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/sh/","title":"Sh","parent":"Quantitative Analysis","content":"usage: sh [-r RFR] [-w WINDOW] [-h] Provides the sharpe ratio of the selected stock.\nThe sharpe ratio is calculated by subtracting the risk-free rates from the return and then divide it by the risk, measured by the volatility. This gives the return per volatility point.\noptional arguments: -r RFR, --rfr RFR Risk free return (default: 0) -w WINDOW, --window WINDOW Rolling window length (default: 252) -h, --help show this help message (default: False) "},{"id":189,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/skew/","title":"Skew","parent":"Quantitative Analysis","content":"usage: skew [-l N_LENGTH] [--export {csv,json,xlsx}] [-h] Skewness is a measure of asymmetry or distortion of symmetric distribution. It measures the deviation of the given distribution of a random variable from a symmetric distribution, such as normal distribution. A normal distribution is without any skewness, as it is symmetrical on both sides. Hence, a curve is regarded as skewed if it is shifted towards the right or the left.\nSee the Wiki page for a detailed explanation: https://en.wikipedia.org/wiki/Skewness\noptional arguments: -l N_LENGTH, --length N_LENGTH length (default: 14) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":190,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/so/","title":"So","parent":"Quantitative Analysis","content":"usage: so [-t TARGET_RETURN] [-a] [-w WINDOW] [-h] Provides the sortino ratio of the selected stock.\nThe sortino ratio is very similar to the sharpe ratio, but different in a crucial way. Sharpe ratio punishes the standard deviation of positive return. The sortino ratio only punishes standard deviation of negative returns. For more, read: http://www.redrockcapital.com/Sortino__A__Sharper__Ratio_Red_Rock_Capital.pdf\noptional arguments: -t TARGET_RETURN, --target TARGET_RETURN Target return (default: 0) -a, --adjusted If one should adjust the sortino ratio inorder to make it comparable to the sharpe ratio (default: False) -w WINDOW, --window WINDOW Rolling window length (default: 252) -h, --help show this help message (default: False) "},{"id":191,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/spread/","title":"Spread","parent":"Quantitative Analysis","content":"usage: spread [-l N_LENGTH] [--export {csv,json,xlsx}] [-h] Displays the spread of the picked target variable for three statistics: value, standard deviation, variance.\noptional arguments: -l N_LENGTH, --length N_LENGTH Window length (default: 14) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":192,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/summary/","title":"Summary","parent":"Quantitative Analysis","content":"usage: summary [--export {csv,json,xlsx}] [-h] Summary of statistics derived from the target variable.\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 11:16 (✨) /stocks/qa/ $ summary Summary Statistics ┏━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ open ┃ high ┃ low ┃ close ┃ adjclose ┃ volume ┃ returns ┃ logret ┃ logprice ┃ ┡━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━┩ │ count │ 760.000 │ 760.000 │ 760.000 │ 760.000 │ 760.000 │ 760.000 │ 760.000 │ 760.000 │ 760.000 │ ├───────┼──────────┼──────────┼──────────┼──────────┼──────────┼─────────────────────┼─────────┼─────────┼──────────┤ │ mean │ 203.131 │ 205.470 │ 200.350 │ 202.963 │ 202.963 │ 18581311.316 │ -0.000 │ -0.000 │ 5.288 │ ├───────┼──────────┼──────────┼──────────┼──────────┼──────────┼─────────────────────┼─────────┼─────────┼──────────┤ │ std │ 44.546 │ 44.825 │ 44.020 │ 44.497 │ 44.497 │ 10992756.504 │ 0.025 │ 0.025 │ 0.224 │ ├───────┼──────────┼──────────┼──────────┼──────────┼──────────┼─────────────────────┼─────────┼─────────┼──────────┤ │ min │ 112.630 │ 114.200 │ 108.700 │ 111.790 │ 111.790 │ 5523000.000 │ -0.133 │ -0.143 │ 4.717 │ ├───────┼──────────┼──────────┼──────────┼──────────┼──────────┼─────────────────────┼─────────┼─────────┼──────────┤ │ 10% │ 152.144 │ 153.973 │ 150.186 │ 151.635 │ 151.635 │ 9561170.000 │ -0.030 │ -0.030 │ 5.021 │ ├───────┼──────────┼──────────┼──────────┼──────────┼──────────┼─────────────────────┼─────────┼─────────┼──────────┤ │ 25% │ 171.659 │ 174.392 │ 169.912 │ 171.858 │ 171.858 │ 12144500.000 │ -0.012 │ -0.013 │ 5.147 │ ├───────┼──────────┼──────────┼──────────┼──────────┼──────────┼─────────────────────┼─────────┼─────────┼──────────┤ │ 50% │ 199.905 │ 202.325 │ 197.335 │ 200.000 │ 200.000 │ 15985100.000 │ 0.000 │ 0.000 │ 5.298 │ ├───────┼──────────┼──────────┼──────────┼──────────┼──────────┼─────────────────────┼─────────┼─────────┼──────────┤ │ 75% │ 229.373 │ 231.640 │ 226.552 │ 229.478 │ 229.478 │ 21443775.000 │ 0.014 │ 0.014 │ 5.436 │ ├───────┼──────────┼──────────┼──────────┼──────────┼──────────┼─────────────────────┼─────────┼─────────┼──────────┤ │ 90% │ 265.203 │ 268.028 │ 262.522 │ 265.506 │ 265.506 │ 28987730.000 │ 0.029 │ 0.029 │ 5.582 │ ├───────┼──────────┼──────────┼──────────┼──────────┼──────────┼─────────────────────┼─────────┼─────────┼──────────┤ │ max │ 313.500 │ 319.320 │ 308.910 │ 317.140 │ 317.140 │ 141830000.000 │ 0.104 │ 0.099 │ 5.759 │ ├───────┼──────────┼──────────┼──────────┼──────────┼──────────┼─────────────────────┼─────────┼─────────┼──────────┤ │ var │ 1984.325 │ 2009.289 │ 1937.717 │ 1979.969 │ 1979.969 │ 120840695549911.328 │ 0.001 │ 0.001 │ 0.050 │ └───────┴──────────┴──────────┴──────────┴──────────┴──────────┴─────────────────────┴─────────┴─────────┴──────────┘ "},{"id":193,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/unitroot/","title":"Unitroot","parent":"Quantitative Analysis","content":"usage: unitroot [-r {c,ct,ctt,nc}] [-k {c,ct}] [--export {csv,json,xlsx}] [-h] Unit root test / stationarity (ADF, KPSS)\nIn statistics, a unit root test tests whether a time series variable is non-stationary and possesses a unit root. The null hypothesis is generally defined as the presence of a unit root and the alternative hypothesis is either stationarity, trend stationarity or explosive root depending on the test used.\nSee the Wiki page on this subject for more information: https://en.wikipedia.org/wiki/Unit_root_test\noptional arguments: -r {c,ct,ctt,nc}, --fuller_reg {c,ct,ctt,nc} Type of regression. Can be ‘c’,’ct’,’ctt’,’nc’ 'c' - Constant and t - trend order (default: c) -k {c,ct}, --kps_reg {c,ct} Type of regression. Can be ‘c’,’ct' (default: c) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 11:16 (✨) /stocks/qa/ $ unitroot Unit Root Calculation ┏━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┓ ┃ ┃ ADF ┃ KPSS ┃ ┡━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━┩ │ Test Statistic │ -28.9536 │ 0.2928 │ ├────────────────┼────────────┼────────┤ │ P-Value │ 0.0000 │ 0.1000 │ ├────────────────┼────────────┼────────┤ │ NLags │ 0.0000 │ 3 │ ├────────────────┼────────────┼────────┤ │ Nobs │ 759.0000 │ │ ├────────────────┼────────────┼────────┤ │ ICBest │ -3339.2013 │ │ └────────────────┴────────────┴────────┘ "},{"id":194,"href":"/OpenBBTerminal/terminal/common/quantitative_analysis/var/","title":"Var","parent":"Quantitative Analysis","content":"usage: var [-m] [-a] [-s] [-p PERCENTILE] [-h] Provides value at risk (short: VaR) of the selected stock.\noptional arguments: -m, --mean If one should use the mean of the stocks return (default: False) -a, --adjusted If the VaR should be adjusted for skew and kurtosis (Cornish-Fisher-Expansion) (default: False) -s, --student If one should use the student-t distribution (default: False) -p PERCENTILE, --percentile PERCENTILE Percentile used for VaR calculations, for example input 99.9 equals a 99.9 Percent VaR (default: 99.9) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 11:18 (✨) /stocks/qa/ $ var FB Value at Risk ┏━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ ┃ ┃ VaR: ┃ Historical VaR: ┃ ┡━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ │ 90.0% │ -0.0305 │ -0.0233 │ ├───────┼─────────┼─────────────────┤ │ 95.0% │ -0.0389 │ -0.0364 │ ├───────┼─────────┼─────────────────┤ │ 99.0% │ -0.0546 │ -0.0578 │ ├───────┼─────────┼─────────────────┤ │ 99.9% │ -0.0719 │ -0.1719 │ └───────┴─────────┴─────────────────┘ "},{"id":195,"href":"/OpenBBTerminal/terminal/common/technical_analysis/","title":"Technical Analysis","parent":"Common","content":"The study of financial market action is known as Technical Analysis. The technician examines price changes that occur on a daily, weekly, or monthly basis, or over any other fixed time period displayed graphically as charts. As a result, the term \u0026ldquo;chart analysis\u0026rdquo; was coined. A chartist merely looks at price charts, whereas a technical analyst looks at technical indications resulting from price changes as well. Instead of looking at the fundamental causes that (appear to) influence market prices, technical analysts look at how the financial markets behave. Even if all relevant information about a specific market or stock were accessible, technicians believe it would be impossible to forecast an exact market \u0026ldquo;reaction\u0026rdquo; to that information.\nAvailable commands Ad Adosc Adx Aroon Bbands Cci Cg Donchian Ema Fib Fisher Hma Kc Macd Obv Recom Rsi Sma Stoch Summary Tv View Vwap Wma Zlma "},{"id":196,"href":"/OpenBBTerminal/terminal/common/technical_analysis/ad/","title":"Ad","parent":"Technical Analysis","content":"usage: ad [--open] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] The Accumulation/Distribution Line is similar to the On Balance Volume (OBV), which sums the volume times +1/-1 based on whether the close is higher than the previous close. The Accumulation/Distribution indicator, however multiplies the volume by the close location value (CLV). The CLV is based on the movement of the issue within a single bar and can be +1, -1 or zero. The Accumulation/Distribution Line is interpreted by looking for a divergence in the direction of the indicator relative to price. If the Accumulation/Distribution Line is trending upward it indicates that the price may follow. Also, if the Accumulation/Distribution Line becomes flat while the price is still rising (or falling) then it signals an impending flattening of the price.\noptional arguments: --open uses open value of stock (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":197,"href":"/OpenBBTerminal/terminal/common/technical_analysis/adosc/","title":"Adosc","parent":"Technical Analysis","content":"usage: adosc [--open] [-f N_LENGTH_FAST] [-s N_LENGTH_SLOW] [--export {csv,json,xlsx}] [-h] Acummulation/Distribution Oscillator, also known as the Chaikin Oscillator is essentially a momentum indicator, but of the Accumulation-Distribution line rather than merely price. It looks at both the strength of price moves and the underlying buying and selling pressure during a given time period. The oscillator reading above zero indicates net buying pressure, while one below zero registers net selling pressure. Divergence between the indicator and pure price moves are the most common signals from the indicator, and often flag market turning points.\noptional arguments: --open uses open value of stock (default: False) -f N_LENGTH_FAST, --fast_length N_LENGTH_FAST fast length (default: 3) -s N_LENGTH_SLOW, --slow_length N_LENGTH_SLOW slow length (default: 10) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":198,"href":"/OpenBBTerminal/terminal/common/technical_analysis/adx/","title":"Adx","parent":"Technical Analysis","content":"usage: adx [-l N_LENGTH] [-s N_SCALAR] [-d N_DRIFT] [--export {csv,json,xlsx}] [-h] The ADX is a Welles Wilder style moving average of the Directional Movement Index (DX). The values range from 0 to 100, but rarely get above 60. To interpret the ADX, consider a high number to be a strong trend, and a low number, a weak trend.\noptional arguments: -l N_LENGTH, --length N_LENGTH length (default: 14) -s N_SCALAR, --scalar N_SCALAR scalar (default: 100) -d N_DRIFT, --drift N_DRIFT drift (default: 1) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":199,"href":"/OpenBBTerminal/terminal/common/technical_analysis/aroon/","title":"Aroon","parent":"Technical Analysis","content":"usage: aroon [-l N_LENGTH] [-s N_SCALAR] [--export {csv,json,xlsx}] [-h] The word aroon is Sanskrit for \u0026ldquo;dawn\u0026rsquo;s early light.\u0026rdquo; The Aroon indicator attempts to show when a new trend is dawning. The indicator consists of two lines (Up and Down) that measure how long it has been since the highest high/lowest low has occurred within an n period range. When the Aroon Up is staying between 70 and 100 then it indicates an upward trend. When the Aroon Down is staying between 70 and 100 then it indicates an downward trend. A strong upward trend is indicated when the Aroon Up is above 70 while the Aroon Down is below 30. Likewise, a strong downward trend is indicated when the Aroon Down is above 70 while the Aroon Up is below 30. Also look for crossovers. When the Aroon Down crosses above the Aroon Up, it indicates a weakening of the upward trend (and vice versa).\noptional arguments: -l N_LENGTH, --length N_LENGTH length (default: 25) -s N_SCALAR, --scalar N_SCALAR scalar (default: 100) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":200,"href":"/OpenBBTerminal/terminal/common/technical_analysis/bbands/","title":"Bbands","parent":"Technical Analysis","content":"usage: bbands [-l N_LENGTH] [-s N_STD] [-m S_MAMODE] [--export {csv,json,xlsx}] [-h] Bollinger Bands consist of three lines. The middle band is a simple moving average (generally 20 periods) of the typical price (TP). The upper and lower bands are F standard deviations (generally 2) above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. Bollinger Bands do not, in themselves, generate buy or sell signals; they are an indicator of overbought or oversold conditions. When the price is near the upper or lower band it indicates that a reversal may be imminent. The middle band becomes a support or resistance level. The upper and lower bands can also be interpreted as price targets. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.\noptional arguments: -l N_LENGTH, --length N_LENGTH length (default: 5) -s N_STD, --std N_STD std (default: 2) -m S_MAMODE, --mamode S_MAMODE mamode (default: sma) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":201,"href":"/OpenBBTerminal/terminal/common/technical_analysis/cci/","title":"Cci","parent":"Technical Analysis","content":"usage: cci [-l N_LENGTH] [-s N_SCALAR] [--export {csv,json,xlsx}] [-h] The CCI is designed to detect beginning and ending market trends. The range of 100 to -100 is the normal trading range. CCI values outside of this range indicate overbought or oversold conditions. You can also look for price divergence in the CCI. If the price is making new highs, and the CCI is not, then a price correction is likely.\noptional arguments: -l N_LENGTH, --length N_LENGTH length (default: 14) -s N_SCALAR, --scalar N_SCALAR scalar (default: 0.015) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":202,"href":"/OpenBBTerminal/terminal/common/technical_analysis/cg/","title":"Cg","parent":"Technical Analysis","content":"usage: cg [-l N_LENGTH] [--export {csv,json,xlsx}] [-h] The Center of Gravity indicator, in short, is used to anticipate future price movements and to trade on price reversals as soon as they happen. However, just like other oscillators, the COG indicator returns the best results in range-bound markets and should be avoided when the price is trending. Traders who use it will be able to closely speculate the upcoming price change of the asset.\noptional arguments: -l N_LENGTH, --length N_LENGTH length (default: 14) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":203,"href":"/OpenBBTerminal/terminal/common/technical_analysis/donchian/","title":"Donchian","parent":"Technical Analysis","content":"usage: donchian [-u N_LENGTH_UPPER] [-l N_LENGTH_LOWER] [--export {csv,json,xlsx}] [-h] Donchian Channels are three lines generated by moving average calculations that comprise an indicator formed by upper and lower bands around a midrange or median band. The upper band marks the highest price of a security over N periods while the lower band marks the lowest price of a security over N periods. The area between the upper and lower bands represents the Donchian Channel.\noptional arguments: -u N_LENGTH_UPPER, --length_upper N_LENGTH_UPPER length (default: 20) -l N_LENGTH_LOWER, --length_lower N_LENGTH_LOWER length (default: 20) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":204,"href":"/OpenBBTerminal/terminal/common/technical_analysis/ema/","title":"Ema","parent":"Technical Analysis","content":"usage: ema [-l N_LENGTH] [-o N_OFFSET] [--export {csv,json,xlsx}] [-h] The Exponential Moving Average is a staple of technical analysis and is used in countless technical indicators. In a Simple Moving Average, each value in the time period carries equal weight, and values outside of the time period are not included in the average. However, the Exponential Moving Average is a cumulative calculation, including all data. Past values have a diminishing contribution to the average, while more recent values have a greater contribution. This method allows the moving average to be more responsive to changes in the data.\noptional arguments: -l N_LENGTH, --length N_LENGTH Window lengths. Multiple values indicated as comma separated values. (default: [20, 50]) -o N_OFFSET, --offset N_OFFSET offset (default: 0) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":205,"href":"/OpenBBTerminal/terminal/common/technical_analysis/fib/","title":"Fib","parent":"Technical Analysis","content":"usage: fib [-p PERIOD] [--start START] [--end END] [--export {csv,json,xlsx}] [-h] Calculates the fibonacci retracement levels\nThe fibonocci retracement works by looking at a minimum and maximum point. Between these values, there is typically support/resistance at 23.5 %, 38.2%, 50% and 61.8%. Those values follow the golden ratio from the fibonocci sequence.\nThe --start and --end flags allow the user to select dates for the min and max points as your retracement levels. Both flags are required if using.\noptional arguments: -p PERIOD, --period PERIOD Days to lookback for retracement (default: 120) --start START Starting date to select (default: None) --end END Ending date to select (default: None) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":206,"href":"/OpenBBTerminal/terminal/common/technical_analysis/fisher/","title":"Fisher","parent":"Technical Analysis","content":"usage: fisher [-l N_LENGTH] [--export {csv,json,xlsx}] [-h] The Fisher Transform is a technical indicator created by John F. Ehlers that converts prices into a Gaussian normal distribution.1 The indicator highlights when prices have moved to an extreme, based on recent prices. This may help in spotting turning points in the price of an asset. It also helps show the trend and isolate the price waves within a trend.\noptional arguments: -l N_LENGTH, --length N_LENGTH length (default: 14) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":207,"href":"/OpenBBTerminal/terminal/common/technical_analysis/hma/","title":"Hma","parent":"Technical Analysis","content":"usage: hma [-l N_LENGTH] [-o N_OFFSET] [--export {csv,json,xlsx}] [-h] The Hull Moving Average solves the age old dilemma of making a moving average more responsive to current price activity whilst maintaining curve smoothness. In fact the HMA almost eliminates lag altogether and manages to improve smoothing at the same time.\noptional arguments: -l N_LENGTH, --length N_LENGTH Window lengths. Multiple values indicated as comma separated values. (default: [10, 20]) -o N_OFFSET, --offset N_OFFSET offset (default: 0) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":208,"href":"/OpenBBTerminal/terminal/common/technical_analysis/kc/","title":"Kc","parent":"Technical Analysis","content":"usage: kc [-l N_LENGTH] [-s N_SCALAR] [-m {ema,sma,wma,hma,zlma}] [-o N_OFFSET] [--export {csv,json,xlsx}] [-h] Keltner Channels are volatility-based bands that are placed on either side of an asset\u0026rsquo;s price and can aid in determining the direction of a trend.The Keltner channel uses the average true range (ATR) or volatility, with breaks above or below the top and bottom barriers signaling a continuation.\noptional arguments: -l N_LENGTH, --length N_LENGTH Window length (default: 20) -s N_SCALAR, --scalar N_SCALAR scalar (default: 2) -m {ema,sma,wma,hma,zlma}, --mamode {ema,sma,wma,hma,zlma} mamode (default: ema) -o N_OFFSET, --offset N_OFFSET offset (default: 0) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":209,"href":"/OpenBBTerminal/terminal/common/technical_analysis/macd/","title":"Macd","parent":"Technical Analysis","content":"usage: macd [-f N_FAST] [-s N_SLOW] [--signal N_SIGNAL] [--export {csv,json,xlsx}] [-h] The Moving Average Convergence Divergence (MACD) is the difference between two Exponential Moving Averages. The Signal line is an Exponential Moving Average of the MACD. The MACD signals trend changes and indicates the start of new trend direction. High values indicate overbought conditions, low values indicate oversold conditions. Divergence with the price indicates an end to the current trend, especially if the MACD is at extreme high or low values. When the MACD line crosses above the signal line a buy signal is generated. When the MACD crosses below the signal line a sell signal is generated. To confirm the signal, the MACD should be above zero for a buy, and below zero for a sell.\noptional arguments: -f N_FAST, --fast N_FAST The short period. (default: 12) -s N_SLOW, --slow N_SLOW The long period. (default: 26) --signal N_SIGNAL The signal period. (default: 9) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":210,"href":"/OpenBBTerminal/terminal/common/technical_analysis/obv/","title":"Obv","parent":"Technical Analysis","content":"usage: obv [--export {csv,json,xlsx}] [-h] The On Balance Volume (OBV) is a cumulative total of the up and down volume. When the close is higher than the previous close, the volume is added to the running total, and when the close is lower than the previous close, the volume is subtracted from the running total. To interpret the OBV, look for the OBV to move with the price or precede price moves. If the price moves before the OBV, then it is a non-confirmed move. A series of rising peaks, or falling troughs, in the OBV indicates a strong trend. If the OBV is flat, then the market is not trending.\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":211,"href":"/OpenBBTerminal/terminal/common/technical_analysis/recom/","title":"Recom","parent":"Technical Analysis","content":"usage: recom [-s {crypto,forex,cfd}] [-e EXCHANGE] [-i {1M,1W,1d,4h,1h,15m,5m,1m}] [--export {csv,json,xlsx}] [-h] Print tradingview recommendation based on technical indicators. [Source: https://pypi.org/project/tradingview-ta/]\noptional arguments: -s {crypto,forex,cfd}, --screener {crypto,forex,cfd} Screener. See https://python-tradingview-ta.readthedocs.io/en/latest/usage.html (default: america) -e EXCHANGE, --exchange EXCHANGE Set exchange. For Forex use: 'FX_IDC', and for crypto use 'TVC'. See https://python-tradingview- ta.readthedocs.io/en/latest/usage.html. By default Alpha Vantage tries to get this data from the ticker. (default: ) -i {1M,1W,1d,4h,1h,15m,5m,1m}, --interval {1M,1W,1d,4h,1h,15m,5m,1m} Interval, that corresponds to the recommendation given by tradingview based on technical indicators. See https://python- tradingview-ta.readthedocs.io/en/latest/usage.html (default: ) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 11:31 (✨) /stocks/ta/ $ recom Ticker Recomendation ┏━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━┳━━━━━━┳━━━━━━━━━┓ ┃ ┃ RECOMMENDATION ┃ BUY ┃ SELL ┃ NEUTRAL ┃ ┡━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━╇━━━━━━╇━━━━━━━━━┩ │ 1 month │ BUY │ 15 │ 2 │ 9 │ ├─────────┼────────────────┼─────┼──────┼─────────┤ │ 1 week │ BUY │ 14 │ 2 │ 10 │ ├─────────┼────────────────┼─────┼──────┼─────────┤ │ 1 day │ SELL │ 5 │ 13 │ 8 │ ├─────────┼────────────────┼─────┼──────┼─────────┤ │ 4 hours │ SELL │ 4 │ 14 │ 8 │ ├─────────┼────────────────┼─────┼──────┼─────────┤ │ 1 hour │ SELL │ 4 │ 13 │ 9 │ ├─────────┼────────────────┼─────┼──────┼─────────┤ │ 15 min │ SELL │ 3 │ 13 │ 10 │ ├─────────┼────────────────┼─────┼──────┼─────────┤ │ 5 min │ SELL │ 5 │ 12 │ 9 │ ├─────────┼────────────────┼─────┼──────┼─────────┤ │ 1 min │ SELL │ 6 │ 11 │ 9 │ └─────────┴────────────────┴─────┴──────┴─────────┘ "},{"id":212,"href":"/OpenBBTerminal/terminal/common/technical_analysis/rsi/","title":"Rsi","parent":"Technical Analysis","content":"usage: rsi [-l N_LENGTH] [-s N_SCALAR] [-d N_DRIFT] [--export {csv,json,xlsx}] [-h] The Relative Strength Index (RSI) calculates a ratio of the recent upward price movements to the absolute price movement. The RSI ranges from 0 to 100. The RSI is interpreted as an overbought/oversold indicator when the value is over 70/below 30. You can also look for divergence with price. If the price is making new highs/lows, and the RSI is not, it indicates a reversal.\noptional arguments: -l N_LENGTH, --length N_LENGTH length (default: 14) -s N_SCALAR, --scalar N_SCALAR scalar (default: 100) -d N_DRIFT, --drift N_DRIFT drift (default: 1) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":213,"href":"/OpenBBTerminal/terminal/common/technical_analysis/sma/","title":"Sma","parent":"Technical Analysis","content":"usage: sma [-l N_LENGTH] [-o N_OFFSET] [--export {csv,json,xlsx}] [-h] Moving Averages are used to smooth the data in an array to help eliminate noise and identify trends. The Simple Moving Average is literally the simplest form of a moving average. Each output value is the average of the previous n values. In a Simple Moving Average, each value in the time period carries equal weight, and values outside of the time period are not included in the average. This makes it less responsive to recent changes in the data, which can be useful for filtering out those changes.\noptional arguments: -l N_LENGTH, --length N_LENGTH Window lengths. Multiple values indicated as comma separated values. (default: [20, 50]) -o N_OFFSET, --offset N_OFFSET offset (default: 0) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":214,"href":"/OpenBBTerminal/terminal/common/technical_analysis/stoch/","title":"Stoch","parent":"Technical Analysis","content":"usage: stoch [-k N_FASTKPERIOD] [-d N_SLOWDPERIOD] [--slowkperiod N_SLOWKPERIOD] [--export {csv,json,xlsx}] [-h] The Stochastic Oscillator measures where the close is in relation to the recent trading range. The values range from zero to 100. %D values over 75 indicate an overbought condition; values under 25 indicate an oversold condition. When the Fast %D crosses above the Slow %D, it is a buy signal; when it crosses below, it is a sell signal. The Raw %K is generally considered too erratic to use for crossover signals.\noptional arguments: -k N_FASTKPERIOD, --fastkperiod N_FASTKPERIOD The time period of the fastk moving average (default: 14) -d N_SLOWDPERIOD, --slowdperiod N_SLOWDPERIOD The time period of the slowd moving average (default: 3) --slowkperiod N_SLOWKPERIOD The time period of the slowk moving average (default: 3) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":215,"href":"/OpenBBTerminal/terminal/common/technical_analysis/summary/","title":"Summary","parent":"Technical Analysis","content":"usage: summary [-h] Technical summary report provided by FinBrain\u0026rsquo;s API. FinBrain Technologies develops deep learning algorithms for financial analysis and prediction, which currently serves traders from more than 150 countries all around the world. [Source: https://finbrain.tech]\noptional arguments: -h, --help show this help message (default: False) Example:\n2022 Feb 16, 11:33 (✨) /stocks/ta/ $ summary GOOGL price has changed -1.45% in the last 3 days and 0.80% yesterday. RSI is currently neutral but close to the overbought area and the indicator is pointing downwards. MACD is in the Bullish area and the histogram is moving downwards. GOOGL price is trading below the 200-day SMA line and the SMA is trending up. The asset price is between the Upper and the Middle Bollinger Bands. "},{"id":216,"href":"/OpenBBTerminal/terminal/common/technical_analysis/tv/","title":"Tv","parent":"Technical Analysis","content":"usage: tv [-h] View TradingView for technical analysis. [Source: TradingView]\noptional arguments: -h, --help show this help message (default: False) "},{"id":217,"href":"/OpenBBTerminal/terminal/common/technical_analysis/view/","title":"View","parent":"Technical Analysis","content":"usage: view [-h] View historical price with trendlines. [Source: Finviz]\noptional arguments: -h, --help show this help message (default: False) "},{"id":218,"href":"/OpenBBTerminal/terminal/common/technical_analysis/vwap/","title":"Vwap","parent":"Technical Analysis","content":"usage: vwap [-o N_OFFSET] [--export {csv,json,xlsx}] [-h] The Volume Weighted Average Price that measures the average typical price by volume. It is typically used with intraday charts to identify general direction.\noptional arguments: -o N_OFFSET, --offset N_OFFSET offset (default: 0) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 11:36 (✨) /stocks/ta/ $ load GOOGL -i 1 Loading Intraday 1min GOOGL stock with starting period 2022-02-10 for analysis. Datetime: 2022 Feb 16 11:36 Timezone: America/New_York Currency: USD Market: CLOSED 2022 Feb 16, 11:36 (✨) /stocks/ta/ $ vwap "},{"id":219,"href":"/OpenBBTerminal/terminal/common/technical_analysis/wma/","title":"Wma","parent":"Technical Analysis","content":"usage: wma [-l N_LENGTH] [-o N_OFFSET] [--export {csv,json,xlsx}] [-h] A Weighted Moving Average puts more weight on recent data and less on past data. This is done by multiplying each bar’s price by a weighting factor. Because of its unique calculation, WMA will follow prices more closely than a corresponding Simple Moving Average.\noptional arguments: -l N_LENGTH, --length N_LENGTH Window lengths. Multiple values indicated as comma separated values. (default: [20, 50]) -o N_OFFSET, --offset N_OFFSET offset (default: 0) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":220,"href":"/OpenBBTerminal/terminal/common/technical_analysis/zlma/","title":"Zlma","parent":"Technical Analysis","content":"usage: zlma [-l N_LENGTH] [-o N_OFFSET] [--export {csv,json,xlsx}] [-h] The zero lag exponential moving average (ZLEMA) indicator was created by John Ehlers and Ric Way. The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from \u0026ldquo;lag\u0026rdquo; days ago thus removing (or attempting to) the cumulative effect of the moving average.\noptional arguments: -l N_LENGTH, --length N_LENGTH Window lengths. Multiple values indicated as comma separated values. (default: [20]) -o N_OFFSET, --offset N_OFFSET offset (default: 0) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":221,"href":"/OpenBBTerminal/terminal/cryptocurrency/","title":"Cryptocurrency","parent":"OpenBB Terminal","content":"Cryptocurrency is a type of electronic money. This sort of currency employs blockchain technology, which is regarded as secure since it can achieve distributed consensus even among untrustworthy people. Cryptocurrency blockchains are similar to traditional bookkeepers' ledgers, with the exception that the ledger is electronic and anybody with access to it can act as the bookkeeper.\nCryptocurrency has attracted investors from all across the world, and more are on the way. Though Bitcoin is the most well-known digital currency, there are thousands of others. 1 Cryptocurrency is one of the most innovative and intriguing asset classes available to investors.\nAvailable commands Chart Defi Anchor Aterra Ayr Borrow Dpi Dtvl Funding Gacc Gdapps Govp Lcsc Ldapps Lending Newsletter Pairs Pools Sinfo Sratio Sreturn Stats Stvl Swaps Tokens Validators Vaults Discovery Cggainers Cglosers Cgtop Cgtrending Cmctop Cpsearch Drdapps Drdex Drgames Drnft Due Diligence Active Ath Atl Balance Basic Bc Cbbook Change Dev Eb Events Ex Fr Gh Gov Info Inv Links Market Mcapdom Mkt Mt News Nonzero Oi Pi Ps Rm Score Social Stats Team Tk Trades Twitter Web Find Headlines Load Nft Newest Ongoing Stats Today Upcoming Onchain Address Baas Balance Btccp Btcct Dvcp Gwei Hist Holders Hr Info Lt Prices Th Top Ttcp Tv Tx Ueat Whales Overview Altindex Btcrb Cbpairs Cgcategories Cgdefi Cgderivatives Cgexchanges Cgexrates Cgglobal Cghold Cgindexes Cgnews Cgstables Ch Cpcontracts Cpexchanges Cpexmarkets Cpglobal Cpinfo Cpmarkets Cpplatforms Cr Ewf Hm News Wf Wfpe Prt Tools Aprtoapy Il "},{"id":222,"href":"/OpenBBTerminal/terminal/cryptocurrency/chart/","title":"Chart","parent":"Cryptocurrency","content":"usage: chart [--vs VS] [-d DAYS] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Display chart for loaded coin. You can specify currency vs which you want to show chart and also number of days to get data for.\noptional arguments: --vs VS Currency to display vs coin (default: usd) -d DAYS, --days DAYS Number of days to get data for (default: 30) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":223,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/","title":"Defi","parent":"Cryptocurrency","content":"DeFi (short for \u0026ldquo;decentralized finance\u0026rdquo;) refers to financial services provided by public blockchains, most notably Ethereum. You can earn interest, borrow, lend, purchase insurance, trade derivatives, exchange assets, and more with DeFi, but it\u0026rsquo;s faster and doesn\u0026rsquo;t involve paperwork or a third party. DeFi is global, peer-to-peer (directly between two people, not through a centralized system), pseudonymous, and available to anyone, just like crypto in general.\nAvailable commands: Anchor Aterra Ayr Borrow Dpi Dtvl Funding Gacc Gdapps Govp Lcsc Ldapps Lending Newsletter Pairs Pools Sinfo Sratio Sreturn Stats Stvl Swaps Tokens Validators Vaults "},{"id":224,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/anchor/","title":"Anchor","parent":"Defi","content":"usage: anchor [--transactions] [--address ADDRESS] [-h] [--export {csv,json,xlsx}] Displays anchor protocol earnings data of a certain terra address [Source: https://cryptosaurio.com/]\noptional arguments: --transactions Flag to show transactions history in anchor earn --address ADDRESS Terra address. Valid terra addresses start with 'terra' (default: None) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Mar 18, 14:29 (✨) /crypto/defi/ $ anchor terra13kc0x8kr3sq8226myf4nmanmn2mrk9s5s9wsnz --transactions "},{"id":225,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/aterra/","title":"Aterra","parent":"Defi","content":"usage: aterra [--asset {ust,luna,sdt}] [--address ADDRESS] [-h] [--export {csv,json,xlsx}] Displays the 30-day history of an asset in a certain terra address. [Source: https://terra.engineer/]\noptional arguments: --asset {ust,luna,sdt} Terra asset {ust,luna,sdt} Default: ust (default: ust) --address ADDRESS Terra address. Valid terra addresses start with 'terra' (default: None) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:00 (✨) /crypto/defi/ $ aterra --asset luna --address terra18vnrzlzm2c4xfsx382pj2xndqtt00rvhu24sqe "},{"id":226,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/ayr/","title":"Ayr","parent":"Defi","content":"usage: ayr [-h] [--export {csv,json,xlsx}] Displays the 30-day history of the Anchor Yield Reserve. An increasing yield reserve indicates that the return on collateral staked by borrowers in Anchor is greater than the yield paid to depositors. A decreasing yield reserve means yield paid to depositors is outpacing the staking returns of borrower\u0026rsquo;s collateral. TLDR: Shows the address that contains UST that is paid on anchor interest earn. [Source: https://terra.engineer/]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":227,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/borrow/","title":"Borrow","parent":"Defi","content":"usage: borrow [-l LIMIT] [--current] [-h] [--export {csv,json,xlsx}] Display DeFi borrow rates. [Source: https://defirate.com/]\noptional arguments: -l LIMIT, --limit LIMIT Number of records to display (default: 10) --current Show Current Borrow Rates or Last 30 Days Average (default: True) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:05 (✨) /crypto/defi/ $ borrow DeFi Borrow Rates ┌────────┬─────────────┬──────────────────────────────────┬──────────────────────────────────┬──────────────────────────────────┬───────────────────────────────────┬──────────────────────────────────┬───────────────────────────────────┐ │ Symbol │ Compound v2 │ Aave │ dYdX │ Fulcrum │ BlockFi │ Nexo │ Celsius │ ├────────┼─────────────┼──────────────────────────────────┼──────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┤ │ DAI │ 4.09% │ 3.5% │ 0% │ 19% │ – │ -2% │ 1% │ ├────────┼─────────────┼──────────────────────────────────┼──────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┤ │ USDC │ 3.16% │ 2.96% │ 0.01% │ 19% │ – │ -2% │ 1% │ ├────────┼─────────────┼──────────────────────────────────┼──────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┤ │ ETH │ 2.77% │ 0.12% │ 0% │ 6% │ – │ -2% │ 1% │ ├────────┼─────────────┼──────────────────────────────────┼──────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┤ │ BTC │ – │ – │ – │ – │ – │ -2% │ 1% │ ├────────┼─────────────┼──────────────────────────────────┼──────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┤ │ WBTC │ 2.32% │ 0.32% │ – │ 3% │ – │ – │ 1% │ ├────────┼─────────────┼──────────────────────────────────┼──────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┤ │ USDT │ 3.57% │ 3.04% │ – │ 19% │ – │ -2% │ 1% │ ├────────┼─────────────┼──────────────────────────────────┼──────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┤ │ MKR │ 2.33% │ 0.13% │ – │ 10% │ – │ – │ – │ ├────────┼─────────────┼──────────────────────────────────┼──────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┤ │ ZRX │ 5.74% │ 0.28% │ – │ 8% │ – │ – │ 1% │ ├────────┼─────────────┼──────────────────────────────────┼──────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┤ │ REP │ 3.42% │ 0.16% │ – │ 8% │ – │ – │ – │ ├────────┼─────────────┼──────────────────────────────────┼──────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┼──────────────────────────────────┼───────────────────────────────────┤ │ BAT │ 3.84% │ 0.98% │ – │ – │ – │ – │ 1% │ └────────┴─────────────┴──────────────────────────────────┴──────────────────────────────────┴──────────────────────────────────┴───────────────────────────────────┴──────────────────────────────────┴───────────────────────────────────┘ "},{"id":228,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/dpi/","title":"Dpi","parent":"Defi","content":"usage: dpi [-l LIMIT] [-s {Rank,Name,Chain,Category,TVL,Change_1D}] [--descend] [-h] [--export {csv,json,xlsx}] Displays DeFi Pulse crypto protocols. [Source: https://defipulse.com/]\noptional arguments: -l LIMIT, --limit LIMIT Number of records to display (default: 15) -s {Rank,Name,Chain,Category,TVL,Change_1D}, --sort {Rank,Name,Chain,Category,TVL,Change_1D} Sort by given column. Default: Rank (default: Rank) --descend Flag to sort in descending order (lowest first) (default: True) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:06 (✨) /crypto/defi/ $ dpi DeFi Pulse Crypto Protocols ┌──────┬────────────────┬────────────┬─────────────┬─────────┬───────────┐ │ Rank │ Name │ Chain │ Sector │ TVL │ 1 Day (%) │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 0 │ Maker │ Ethereum │ Lending │ $17.29B │ 2.82% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 1 │ Curve Finance │ Ethereum │ DEXes │ $11.40B │ -1.05% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 2 │ Aave │ Multichain │ Lending │ $10.73B │ -1.51% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 3 │ Convex Finance │ Ethereum │ Assets │ $10.34B │ 2.07% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 4 │ Compound │ Ethereum │ Lending │ $7.17B │ 3.39% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 5 │ InstaDApp │ Ethereum │ Lending │ $5.75B │ 1.62% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 6 │ yearn.finance │ Ethereum │ Assets │ $3.15B │ 1.27% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 7 │ Uniswap │ ethereum │ DEXes │ $2.28B │ 50.80% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 8 │ Balancer │ Ethereum │ DEXes │ $2.19B │ -1.68% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 9 │ Bancor │ Ethereum │ DEXes │ $1.84B │ -0.05% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 10 │ SushiSwap │ Ethereum │ DEXes │ $1.83B │ 4.16% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 11 │ Liquity │ Ethereum │ Lending │ $1.49B │ 4.37% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 12 │ dYdX │ Ethereum │ Derivatives │ $986.7M │ -0.36% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 13 │ Rari Capital │ Ethereum │ Assets │ $935.3M │ 3.25% │ ├──────┼────────────────┼────────────┼─────────────┼─────────┼───────────┤ │ 14 │ Flexa │ Ethereum │ Payments │ $842.1M │ 0.36% │ └──────┴────────────────┴────────────┴─────────────┴─────────┴───────────┘ "},{"id":229,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/dtvl/","title":"Dtvl","parent":"Defi","content":"usage: dtvl [-d DAPPS] [--export {csv,json,xlsx}] [-h] Displays historical TVL of different dApps. [Source: https://docs.llama.fi/api]\noptional arguments: -d DAPPS, --dapps DAPPS dApps to search historical TVL. Should be split by , e.g.: anchor,sushiswap,pancakeswap (default: None) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\nThe available dApps are:\n0.exchange 1bch 1inch-network 1swap 88mph 8ightdao aave aavegotchi abracadabra acoconut across acryptos acumen adamant-finance adena-finance afraswap agarthadao agave aladdin-dao alchemist alchemix aldrin algofi aliensfarm alita-finance alium-swap alkemi allbridge allinx almond alpaca-city alpaca-finance alpha-finance amogus-dao amun-tokens amy-finance anchor anchorswap angle ankr annex ante-finance aperocket apeswap apollodao apricot-finance apwine apy-finance aquarius ara-finance arbicheems arbinyan arbirise-finance arbis-finance arcx arenaswap arkadiko armor arrow artemis-protocol asgard-dao asgard-finance asol astroport atlantis-loans atlas-usv atmossoft atrix auctus augmented-finance augur augury-finance auroraswap autofarm autoshark avalaunch avalps avaviking avaware axedao axial aztec b.protocol babylon-finance babypig-finance babyswap back-finance bacondao badger-dao bagels-finance baguette baker-guild bakeryswap balanced balancer bamboodefi bananafarm banano bancor banksy-farm bao-finance barnbridge base-protocol basis-cash basketdao beanstalk bear-finance bearn becoswap beefy-finance beethoven-x beglobal-finance behodler bella-protocol belt-finance benqi benswap bepswap beta-finance bifi big-data-protocol billion-happiness bishares biswap bitant bitpif blackbird-finance blackpool blizzard blizz-finance bnbminer-finance bogged-finance bondappetit boofinance borgswap boringdao bossswap bouje-finance bourbon-dao brahma bridge-mutual brinc bring.finance brokoli-network bscstation bscswap bt.finance btc-proxy btcst buffaloswap bumper-finance bunny bunnypark bxh cafeswap cakedao canary cap capital-dao carbon-finance carbonswap cardstarter caribou-finance cashcow-finance cashcow-protocol cashio cbridge cerberusdao chad-finance chainge-finance chainport channels-finance chargedefi charm-finance cheesedao cherryswap chest-finance chfry-finance chickenswap chikn-farm chronicle chronoswap clipper cobraswap coffin-finance cofix coinswap-space coinwind colony cometh complifi complus-network component composable-finance compound connext convergence convex-finance cook-finance corgiswap cougarswap coup-farm cover-protocol cozy-finance cream-finance creamswap crodex cronaswap crow-finance crunchy-network cryptex cryptoyieldfocus crystl-finance cub-finance curve cvault-finance cvi-finance cyber-dog cyberfantasyfembots cybertime cycle-finance cyclone cyclos dao-maker daoventures dapp-account-dao dark-matter ddex decubate deepseadao deerfi defibox defichain-dex defichain-loans defidollar-dao defi-halal defi-kingdoms defily definer definix defiplaza defirex defisaver defis-network defi-swap defi-yield-protocol defrost defyswap dehive demeter depth deri-protocol derivadex deversifi dev-protocol dforce dfx-finance dfyn-network dhedge dino.exchange dinosaur-eggs dinoswap dios-finance dodo doki-doki-finance domani-protocol donkey dopex dopple-finance draco-force dracula drift drops duckydefi dungeonswap dydx ecurve eggtartswap element-finance elephantdex eleven-finance elk ellipsis-finance embr-finance emerald-swap emiswap empiredex energiswap enterdao entropyfi enzyme-finance eosauthority-rex erasure ergodex ester-finance ethernity-chain euler euphoria everestdao everipedia everrise evolutionland exinswap exodia fabric fantohm fantompup farmersonly farm-hero feeder-finance fegex fei-protocol ferrum fiat-dao filda finnexus firebird firedao flame-defi flamincome flamingo-finance flare-loans flarex flashstake flexa float-capital float-protocol fluity flux-protocol fodl-finance forcedao fortress fortube fortune-dao fractional-art francium frax freeliquid freeriver friktion frost-finance ftm-frens fuji-dao furucombo fusefi futureswap fuzz-finance gains-network gaj-finance galatea-cash galaxygoogle-dao gamma gearbox geist-finance genesis-finance genesys genshiro geyser gibxswap giza-dao glide-finance globiance gmx gnosis goldfinch golff-protocol gondola-finance goose-finance goswap governor-dao grassland-finance gravity-finance grim-finance gro growth-defi guard(helmet) g-uni gyro hades-swap hakka-finance halodao handle-fi harvest-finance hbtc hector-dao hegic helios-prime hermes-defi hex hfione honeyfarm honeyswap hop-protocol hotpot-finance hpdex hswap huckleberry hundred-finance hunny-finance hurricaneswap hyper-finance hyperswap ice-colony ice-dao ichi-farm ideamarket idex idle-finance ifpool ifswap illuvium impermax-finance impossible-finance imtoken index-coop indexed-finance injective-protocol ink-protocol instadapp instrumental-finance insurace integral inverse-finance invictusdao iron-finance itrust-finance jade-protocol jaguarswap jarvis-network jet jetfuel-finance jetswap jpool jswap justcryptos justlend juststables kaco-finance kafe-finance kaidex kalata karma-dao karura-dollar-(kusd) karura-liquid-staking karura-swap katana katana-dex kava kava-lend kava-swap kawaiiswap kebab-finance keep3r-network keeperdao keep-network kimochi kine-finance kingdefi kitty-finance klayswap klend klima-dao klondike-finance knightswap-finance knit-finance koala-defi kogefarm kokomoswap kokoswap kolibri kronos-dao kryptodex kswap-finance kuswap kuu-finance kwikswap kyber larix latteswap layer2-finance leaguedao lemonswap lendhub leonicornswap levinswap lido lien life-dao lightning-network linear-finance liqee liquid-driver liquidrium liquidswap liquity lixir-finance lobis longdrink loop-finance loopring lootswap loterra louverture luaswap lumenswap luxor-money lydia lyra macaronswap magic-land magnet-dao maiar-exchange makerdao makiswap mama-dao mango-markets manifest mantra-dao maple marginswap marinade-finance market mars-ecosystem marshmallowdefi mars-poolin matrix-farm maximizer mcdex mdex mean-finance mensa-protocol mento meowswap mercurial-finance mercurity merit-circle merlin meso-finance metacrono meta-pool metareserve metaversepro metronome mfinance midasdao mimas-finance mimo-defi miningtycoon miniswap minmax-finance mint-club mintswap mirai mirror mistswap mm-finance mm-optimizer mobius-finance mobius-money mobox mochifi mochiswap mojitoswap moneyonchain monox moola-market moondao moonfarm mooniswap moonpot moonswap morpheus-swap mstable muesliswap multichain multi-chain-miner multiplier mushrooms-finance n3rd-finance nacho-finance naos-finance nasdex nearpad necc neku nemesis-dao nerve nerve-network nest-protocol netswap neutrino newdex newland nexus-mutual nexus-protocol nft20 nftb nftx nidhi-dao niifi nileriver niob-finance notional nowswap nsure nuls numbers-protocol o2-dao o3-swap oakfarm obswap ocean-protocol ocp-finance oddz oh-finance ola-finance olive-cash olympus-dao omicron omm ondo-finance one-cash onedao-finance oneswap only1 onx-finance ooki oolongswap opendao openleverage openocean openswap opium optidoge optinyan opyn oraichain orca orcadao origin-dollar orion-money orion-protocol osmosis otterclam ouchi-finance overnight ovr oxygen pacoca padswap paint-swap pala paladin-finance pancakeswap pandaswap pando pangolin pantherswap papa-dao paraswap parrot-defi parrot-protocol partyswap peakdefi pendle penguin-finance percent-finance perlin perpetual-protocol phoenix-finance photonswap-finance pickle pidao-finance piedao piggy piggybank-dao piggy-finance pika-protocol pilot-protocol pinkswap pinyottas pippi piratedao pizza planet-finance platypus-finance plenty-defi pnetwork pods-finance pole-aggregator polkaex polkamarkets polkastarter polkaswap polly-finance polycat polydex polydex-cryption-network polygon-bridge-\u0026amp;-staking polygonfarm-finance polymarket polyquity polyroll polyshield polywhale-finance polyyeld-finance poof-cash pooltogether popsicle-finance pop-town port-finance position-exchange potluck-protocol powerbomb-finance powerpool predictcoin premia primitive pstake psyoptions pumpkin-dao purefi pureswap pylon-protocol qian qidao qilin quarry qubit quickswap quipuswap rabbit-finance radao ragnarokdao ramp ram-protocol rari-capital rarify raven raydium realt reaper-farm redacted-cartel ref-finance reflexer renvm reserve retreeb retrodefi revault reverse revest-finance ribbon-finance risq-protocol rivrkitty robiniaswap robo-advisor-for-yield robo-vault rocket-pool rocketswap romedao rose rskswap rubicon r-u-generous ruler saber sablier-finance saddle-finance safedollar safeohm safeswap saffron-finance sakeperp salem-finance samodao sapphire-defi sashimiswap scarab-finance scarecrow-finance scientix scream seadex secret-bridge secret-network secretswap securedao seeder-finance sencha senpaiswap sentre serum serum-swap set-protocol s-finance shadecash shapeshift sharedstake sheepdex sheesha-finance shell-protocol sherlock shiba-fantom shibance shibaswap shield shinobi sifchain singular-farm siren skeleton-finance smartcoin smartdex smolswap smoothy snowball snowbank snowcatdao snowdog snowswap socean socialswap soda-protocol solana-farm solarbeam solend solo-top solyard sonicswap soulswap sovryn soy-finance spartacus spectrum-protocol sperax-usd spicy-dao spicyswap spiritdao spiritswap spookyswap squiddao squid-defi squid-stake stabilize stacker-ventures stacks-staking stader stafi stakedao stakehound stakesteak stakewise standard-protocol stand-cash stargate-finance starterra steakbank-finance stellarx stonedefi stormswap strike strudel-finance summit-defi sumswap sun.io sunflower-finance sunflowerswap sunny sunrise-gaming sunswap superfarm superfluid sushiswap suterusu swamp-finance swap-cat swapmatic swapp swapperchan swapr swarm-markets swerve swift-finance swing-dao swipe swop symmetric synapse sync-network synlev synthetify synthetix taichi talent-protocol tangoswap tarot tectonic teddy-cash telcoin telos-swap templar-dao temple-dao tempodao tempus-finance tendieswap tenet ten-finance terraswap tesseract tethys-finance tetu tezos-liquidity-baking thales the-dragons-lair the-grand-banks the-sandbox the-seed-farm thetanuts thorchain thoreum-finance thorstarter thorusfi tidal-finance timewarp tinlake tinyman tokemak tokenlon tomb-finance tomofinance ton-swap topshelf tornadao tornado-cash totemfi tracer trader-joe tranche-finance tranchess tranquil-finance trava-finance treedefi trick-or-treat-farm trisolaris tropical-finance truefi ttswap tulip-protocol twindex typhoon-cash ubeswap ubiquity-dao umami-finance uma-protocol umbrella-network umbria-network unagii undead-finance unfederalreserve unicly unifarm unifi unilend union-finance unipower unirex-finance uniswap unite-finance unit-protocol unitrade universe-finance universe-xyz unore unslashed unusdao upfi-network valhalladao valkyrie valuedefi value-liquid vampireswap vanilla vaporwave varen vaulty-finance vee-finance venus vesper vexchange vigor vikingsfinance viperswap vires-finance volmex vortex-dao voyager vultureswap vvs-finance wagmidao wagyuswap waka-finance wannaswap wanswap-dex wardenswap warp-protocol wasabix waterloan wault waves-exchange wbtc wepiggy westarter whale-loans wheat-protocol whiteheart wild-credit wing-finance wingswap wisteria-swap witswap wonderland wraithswap wrapped wrapped-bnb wrap-protocol xdai-stake-bridge xdefi xdollar xenophon xensa xeus xmas-past xsigma xtoken xusd-money yam-finance yapeswap yaxis yearn-finance yel-finance yetiswap yfdai yfii yieldly yield-protocol yield-yak yogi-finance yokaiswap yoshi-exchange youswap youves ysl.io zabu-finance zai-finance zencha-finance zenlink zeus-finance zigzag zilswap zkswap zlot zodiacdao zoocoin zookeeper zoomswap zunami zyxswap "},{"id":230,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/funding/","title":"Funding","parent":"Defi","content":"usage: funding [-l LIMIT] [--current] [-h] [--export {csv,json,xlsx}] Display Funding rates. [Source: https://defirate.com/]\noptional arguments: -l LIMIT, --limit LIMIT Number of records to display (default: 10) --current Show Current Funding Rates or Last 30 Days Average (default: True) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:17 (✨) /crypto/defi/ $ funding ┌────────┬────────────┬──────────────┬──────────┬─────────┐ │ Symbol │ Binance │ dYdX │ FTX │ BitMEX │ ├────────┼────────────┼──────────────┼──────────┼─────────┤ │ BTC │ -0.00776% │ -0.00333104% │ 0.0072% │ 0.01% │ ├────────┼────────────┼──────────────┼──────────┼─────────┤ │ ETH │ 0.004572% │ -0.010064% │ 0.0008% │ 0.0344% │ ├────────┼────────────┼──────────────┼──────────┼─────────┤ │ XRP │ -0.013315% │ – │ 0.004% │ 0.0379% │ ├────────┼────────────┼──────────────┼──────────┼─────────┤ │ BCH │ 0.004671% │ 0.00792408% │ -0.0008% │ 0.01% │ ├────────┼────────────┼──────────────┼──────────┼─────────┤ │ COMP │ 0.01% │ 0.00780392% │ -0.0032% │ – │ ├────────┼────────────┼──────────────┼──────────┼─────────┤ │ KNC │ 0.007689% │ – │ 0.0192% │ – │ ├────────┼────────────┼──────────────┼──────────┼─────────┤ │ LINK │ -0.005376% │ -0.00611336% │ -0.0048% │ 0.0298% │ ├────────┼────────────┼──────────────┼──────────┼─────────┤ │ XTZ │ 0.01% │ – │ -0.004% │ – │ ├────────┼────────────┼──────────────┼──────────┼─────────┤ │ BNB │ 0% │ – │ -0.0152% │ 0.01% │ ├────────┼────────────┼──────────────┼──────────┼─────────┤ │ LTC │ -0.005634% │ 0.00883664% │ 0.0008% │ 0.0168% │ └────────┴────────────┴──────────────┴──────────┴─────────┘ "},{"id":231,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/gacc/","title":"Gacc","parent":"Defi","content":"usage: gacc [-l LIMIT] [--cumulative] [-k {active,total}] [--descend] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Displays terra blockchain account growth history. [Source: https://fcd.terra.dev/swagger]\noptional arguments: -l LIMIT, --limit LIMIT Number of days to show (default: 90) --cumulative Show cumulative or discrete values. For active accounts only discrete value are available (default: True) -k {active,total}, --kind {active,total} Total account count or active account count. Default: total (default: total) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":232,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/gdapps/","title":"Gdapps","parent":"Defi","content":"usage: gdapps [-l LIMIT] [-h] [--export {csv,json,xlsx}] Display top dApps (in terms of TVL) grouped by chain. [Source: https://docs.llama.fi/api]\noptional arguments: -l LIMIT, --limit LIMIT Number of top dApps to display (default: 40) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":233,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/govp/","title":"Govp","parent":"Defi","content":"usage: govp [-l LIMIT] [-s {submitTime,id,depositEndTime,status,type,title,Yes,No}] [--status {voting,deposit,passed,rejected,all}] [--descend] [-h] [--export {csv,json,xlsx}] Displays terra blockchain governance proposals list. [Source: https://fcd.terra.dev/swagger]\noptional arguments: -l LIMIT, --limit LIMIT Number of proposals to show (default: 10) -s {submitTime,id,depositEndTime,status,type,title,Yes,No}, --sort {submitTime,id,depositEndTime,status,type,title,Yes,No} Sort by given column. Default: id (default: id) --status {voting,deposit,passed,rejected,all} Status of proposal. Default: all (default: all) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:19 (✨) /crypto/defi/ $ govp ┌─────┬──────────────────┬──────────────────┬──────────┬──────────────────────┬────────────────────────────────────────┬─────┬────┬─────────┬──────────────┐ │ Id │ Submit time │ Deposit end time │ Status │ Type │ Title │ Yes │ No │ Abstain │ No with veto │ ├─────┼──────────────────┼──────────────────┼──────────┼──────────────────────┼────────────────────────────────────────┼─────┼────┼─────────┼──────────────┤ │ 191 │ 2022-02-14 04:11 │ 2022-02-28 04:11 │ Deposit │ Text Proposal │ Whithdraw money on cash machine with │ 0 │ 0 │ 0 │ 0 │ │ │ │ │ │ │ QRcode using Terra mobile app │ │ │ │ │ ├─────┼──────────────────┼──────────────────┼──────────┼──────────────────────┼────────────────────────────────────────┼─────┼────┼─────────┼──────────────┤ │ 190 │ 2022-02-12 09:42 │ 2022-02-26 09:42 │ Deposit │ Text Proposal │ test vote │ 0 │ 0 │ 0 │ 0 │ ├─────┼──────────────────┼──────────────────┼──────────┼──────────────────────┼────────────────────────────────────────┼─────┼────┼─────────┼──────────────┤ │ 189 │ 2022-02-05 12:28 │ 2022-02-19 12:28 │ Deposit │ Text Proposal │ The former CEO of Ozys (TK) refuses to │ 0 │ 0 │ 0 │ 0 │ │ │ │ │ │ │ join the TFL. │ │ │ │ │ ├─────┼──────────────────┼──────────────────┼──────────┼──────────────────────┼────────────────────────────────────────┼─────┼────┼─────────┼──────────────┤ │ 188 │ 2022-02-04 00:41 │ 2022-02-18 00:41 │ Deposit │ Text Proposal │ Keeping an eye on the emerging market │ 0 │ 0 │ 0 │ 0 │ ├─────┼──────────────────┼──────────────────┼──────────┼──────────────────────┼────────────────────────────────────────┼─────┼────┼─────────┼──────────────┤ │ 187 │ 2022-02-03 02:13 │ 2022-02-17 02:13 │ Deposit │ Text Proposal │ Movement of locked values ​​between │ 0 │ 0 │ 0 │ 0 │ │ │ │ │ │ │ accounts of the same validator │ │ │ │ │ ├─────┼──────────────────┼──────────────────┼──────────┼──────────────────────┼────────────────────────────────────────┼─────┼────┼─────────┼──────────────┤ │ 186 │ 2022-02-02 01:54 │ 2022-02-16 01:54 │ Passed │ Community-pool Spend │ 5-Yr. [REDACTED] Sports Partnership \u0026amp; │ 91 │ 0 │ 0 │ 0 │ │ │ │ │ │ │ Terra Community Trust (TCT) Formation │ │ │ │ │ ├─────┼──────────────────┼──────────────────┼──────────┼──────────────────────┼────────────────────────────────────────┼─────┼────┼─────────┼──────────────┤ │ 185 │ 2022-02-02 01:35 │ 2022-02-16 01:35 │ Passed │ Parameter-change │ Improvements to Liquidity/Minting │ 75 │ 9 │ 12 │ 0 │ │ │ │ │ │ │ Parameters │ │ │ │ │ ├─────┼──────────────────┼──────────────────┼──────────┼──────────────────────┼────────────────────────────────────────┼─────┼────┼─────────┼──────────────┤ │ 181 │ 2022-01-31 02:00 │ 2022-02-14 02:00 │ Passed │ Community-pool Spend │ Terra Bites v2 2022 │ 77 │ 13 │ 5 │ 1 │ ├─────┼──────────────────┼──────────────────┼──────────┼──────────────────────┼────────────────────────────────────────┼─────┼────┼─────────┼──────────────┤ │ 180 │ 2022-01-27 01:26 │ 2022-02-10 01:26 │ Passed │ Community-pool Spend │ Onboard UST to zkSync and StarkNet │ 97 │ 0 │ 1 │ 0 │ │ │ │ │ │ │ through ZigZag Exchange │ │ │ │ │ ├─────┼──────────────────┼──────────────────┼──────────┼──────────────────────┼────────────────────────────────────────┼─────┼────┼─────────┼──────────────┤ │ 179 │ 2022-01-19 00:05 │ 2022-02-02 00:05 │ Rejected │ Parameter-change │ Increase The Wasm Code Size │ 80 │ 3 │ 5 │ 0 │ └─────┴──────────────────┴──────────────────┴──────────┴──────────────────────┴────────────────────────────────────────┴─────┴────┴─────────┴──────────────┘ "},{"id":234,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/lcsc/","title":"Lcsc","parent":"Defi","content":"usage: lcsc [-d DAYS] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [-l LIMIT] Display Luna circulating supply changes stats. [Source: Smartstake.io] Follow these steps to get the key token:\n Head to https://terra.smartstake.io/ Right click on your browser and choose Inspect Select Network tab (by clicking on the expand button next to Source tab) Go to Fetch/XHR tab, and refresh the page Get the option looks similar to the following: listData?type=history\u0026amp;dayCount=30 Extract the key and token out of the URL optional arguments: -d DAYS, --days DAYS Number of days to display. Default: 30 days (default: 30) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 5) "},{"id":235,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/ldapps/","title":"Ldapps","parent":"Defi","content":"usage: ldapps [-l LIMIT] [-s {tvl,symbol,category,chains,change_1h,change_1d,change_7d,name}] [--descend] [--desc] [-h] [--export {csv,json,xlsx}] Display information about listed DeFi Protocols on DeFi Llama. [Source:https://docs.llama.fi/api]\noptional arguments: -l LIMIT, --limit LIMIT Number of records to display (default: 10) -s {tvl,symbol,category,chains,change_1h,change_1d,change_7d,name}, --sort {tvl,symbol,category,chains,change_1h,change_1d,change_7d,name} Sort by given column. Default: tvl (default: tvl) --descend Flag to sort in descending order (lowest first) (default: False) --desc Flag to display description of protocol (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:24 (✨) /crypto/defi/ $ ldapps ┌──────────────────────────┬────────┬──────────┬──────────────────────────────────────────────────┬───────────────┬───────────────┬───────────────┬──────────┐ │ Name │ Symbol │ Category │ Chains │ Change 1H (%) │ Change 1D (%) │ Change 7D (%) │ TVL ($) │ ├──────────────────────────┼────────┼──────────┼──────────────────────────────────────────────────┼───────────────┼───────────────┼───────────────┼──────────┤ │ Curve │ CRV │ Dexes │ Ethereum, Avalanche, Fantom, Polygon, Arbitrum, │ 0.00 │ 1.26 │ 1.24 │ 19.752 B │ │ │ │ │ xDai, Harmony, Optimism │ │ │ │ │ ├──────────────────────────┼────────┼──────────┼──────────────────────────────────────────────────┼───────────────┼───────────────┼───────────────┼──────────┤ │ MakerDAO │ MKR │ CDP │ Ethereum │ 0.00 │ 4.68 │ -0.35 │ 17.551 B │ ├──────────────────────────┼────────┼──────────┼──────────────────────────────────────────────────┼───────────────┼───────────────┼───────────────┼──────────┤ │ Convex Finance │ CVX │ Yield │ Ethereum │ -0.00 │ 1.98 │ 0.40 │ 13.657 B │ ├──────────────────────────┼────────┼──────────┼──────────────────────────────────────────────────┼───────────────┼───────────────┼───────────────┼──────────┤ │ AAVE │ AAVE │ Lending │ Ethereum, Avalanche, Polygon │ 0.00 │ 3.06 │ -0.02 │ 13.597 B │ ├──────────────────────────┼────────┼──────────┼──────────────────────────────────────────────────┼───────────────┼───────────────┼───────────────┼──────────┤ │ WBTC │ WBTC │ Bridge │ Ethereum │ 0.13 │ 5.03 │ 1.06 │ 11.633 B │ ├──────────────────────────┼────────┼──────────┼──────────────────────────────────────────────────┼───────────────┼───────────────┼───────────────┼──────────┤ │ Polygon Bridge \u0026amp; Staking │ MATIC │ Chain │ Polygon │ 0.00 │ -1.84 │ 1.42 │ 10.344 B │ ├──────────────────────────┼────────┼──────────┼──────────────────────────────────────────────────┼───────────────┼───────────────┼───────────────┼──────────┤ │ Lido │ LDO │ Staking │ Ethereum, Terra, Solana │ 0.00 │ 8.70 │ 0.42 │ 9.626 B │ ├──────────────────────────┼────────┼──────────┼──────────────────────────────────────────────────┼───────────────┼───────────────┼───────────────┼──────────┤ │ Anchor │ ANC │ Lending │ Terra │ -0.00 │ 5.25 │ 5.51 │ 8.401 B │ ├──────────────────────────┼────────┼──────────┼──────────────────────────────────────────────────┼───────────────┼───────────────┼───────────────┼──────────┤ │ Uniswap │ UNI │ Dexes │ Ethereum, Polygon, Arbitrum, Optimism │ 0.78 │ 5.38 │ 0.13 │ 7.652 B │ ├──────────────────────────┼────────┼──────────┼──────────────────────────────────────────────────┼───────────────┼───────────────┼───────────────┼──────────┤ │ Multichain │ MULTI │ Bridge │ Fantom, Avalanche, Ethereum, Binance, Moonriver, │ 0.00 │ 3.05 │ -5.37 │ 7.305 B │ │ │ │ │ Arbitrum, Harmony, OKExChain, Polygon, Telos, │ │ │ │ │ │ │ │ │ Heco, xDai, Kucoin, Syscoin │ │ │ │ │ └──────────────────────────┴────────┴──────────┴──────────────────────────────────────────────────┴───────────────┴───────────────┴───────────────┴──────────┘ "},{"id":236,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/lending/","title":"Lending","parent":"Defi","content":"usage: lending [-l N] [--current] [--export {csv,json,xlsx}] [-h] Display DeFi lending rates. [Source: https://defirate.com/]\noptional arguments: -l LIMIT, --limit LIMIT Number of records to display (default: 15) --current Show Current Lending Rates or Last 30 Days Average (default: True) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:25 (✨) /crypto/defi/ $ lending Top DeFi Lendings ┌────────┬─────────────┬────────────────────┬────────────────────┬────────────────────┬────────────────────┬────────────────────┬────────────────────┬────────────────────┬─────────────────────┬────────────────────┬─────────────────────┐ │ Symbol │ Compound v2 │ … │ … │ … │ … │ … │ … │ … │ … │ … │ … │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ DAI │ 2.43% │ 2.22% │ 0% │ 4.58% │ 8.5% │ 8% │ 4.6% │ 6.43% │ 9.13% │ – │ 2% │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ USDC │ 1.64% │ 1.83% │ 0% │ 2.93% │ 8.75% │ 8% │ 8.5% │ 7.99% │ – │ 3.32% │ 0.15% │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ ETH │ 0.09% │ 0% │ 0% │ 0.09% │ 5% │ 5% │ 5.35% │ 1.26% │ 6.32% │ 0.04% │ – │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ BTC │ – │ – │ – │ – │ 4.5% │ 5% │ 6.2% │ 1.01% │ 0.04% │ 0.44% │ – │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ WBTC │ – │ 0.01% │ – │ 2.02% │ – │ – │ 3.05% │ – │ – │ – │ – │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ USDT │ 2.02% │ 1.94% │ – │ 3.2% │ 9.25% │ 8% │ 8.5% │ – │ – │ 5.99% │ – │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ MKR │ 0% │ 0% │ – │ – │ – │ – │ – │ 1.26% │ 178.89% │ – │ – │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ ZRX │ 0.41% │ 0.04% │ – │ – │ – │ – │ 1.77% │ 1.25% │ 3.42% │ – │ – │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ BAT │ 0.13% │ 0.06% │ – │ – │ 1.5% │ – │ 1% │ 1.01% │ – │ – │ – │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ 1INCH │ – │ – │ – │ – │ – │ – │ 5.02% │ 3.51% │ – │ – │ – │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ AAVE │ 2.18% │ – │ – │ – │ – │ – │ 4.86% │ 1.01% │ – │ – │ – │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ ADA │ – │ – │ – │ – │ – │ – │ 4.06% │ – │ 1.03% │ – │ – │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ ALGO │ – │ – │ – │ – │ – │ – │ – │ – │ – │ – │ 4% │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ AMPL │ – │ 0.2% │ – │ – │ – │ – │ – │ – │ – │ – │ – │ ├────────┼─────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┤ │ ATOM │ – │ – │ – │ – │ – │ – │ – │ – │ – │ 1.79% │ 5% │ └────────┴─────────────┴────────────────────┴────────────────────┴────────────────────┴────────────────────┴────────────────────┴────────────────────┴────────────────────┴─────────────────────┴────────────────────┴─────────────────────┘ "},{"id":237,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/newsletter/","title":"Newsletter","parent":"Defi","content":"usage: newsletter [-l LIMIT] [-h] [--export {csv,json,xlsx}] Display DeFi related substack newsletters. [Source: substack.com]\noptional arguments: -l LIMIT, --limit LIMIT Number of records to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:26 (✨) /crypto/defi/ $ newsletter Substack Newsletters ┌───────────────────────────────────────────────────┬─────────────────────┬─────────────────────────────────────────────────────────────────────────┐ │ Title │ Date │ Link │ ├───────────────────────────────────────────────────┼─────────────────────┼─────────────────────────────────────────────────────────────────────────┤ │ DEBRIEF - Crypto in Washington | Congressman Tom │ 2022-02-14 11:30:49 │ https://shows.banklesshq.com/p/debrief-crypto-in-washington-congressman │ │ Emmer │ │ │ ├───────────────────────────────────────────────────┼─────────────────────┼─────────────────────────────────────────────────────────────────────────┤ │ 105 - Crypto in Washington | Congressman Tom │ 2022-02-14 11:30:48 │ https://shows.banklesshq.com/p/-105-crypto-in-washington-congressman │ │ Emmer │ │ │ ├───────────────────────────────────────────────────┼─────────────────────┼─────────────────────────────────────────────────────────────────────────┤ │ EARLY ACCESS - Crypto in Washington | Congressman │ 2022-02-11 23:14:23 │ https://shows.banklesshq.com/p/early-access-crypto-in-washington │ │ Tom Emmer │ │ │ ├───────────────────────────────────────────────────┼─────────────────────┼─────────────────────────────────────────────────────────────────────────┤ │ ROLLUP: Bitfinex Hack | Super Crypto Bowl | Aave │ 2022-02-11 13:23:29 │ https://shows.banklesshq.com/p/-rollup-bitfinex-hack-super-crypto │ │ Social Network | Vitalik Supports Assange DAO11 │ │ │ ├───────────────────────────────────────────────────┼─────────────────────┼─────────────────────────────────────────────────────────────────────────┤ │ Syscoin Ecosystem Update: Pegasys DEX Launch │ 2022-01-28 18:59:03 │ https://defislate.substack.com/p/syscoin-ecosystem-update-pegasys │ └───────────────────────────────────────────────────┴─────────────────────┴─────────────────────────────────────────────────────────────────────────┘ "},{"id":238,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/pairs/","title":"Pairs","parent":"Defi","content":"usage: pairs [-l LIMIT] [-v VOL] [-tx TX] [--days DAYS] [-s {created,pair,token0,token1,volumeUSD,txCount,totalSupply}] [--descend] [-h] [--export {csv,json,xlsx}] Display Lastly added pairs on Uniswap DEX. [Source: https://thegraph.com/en/]\noptional arguments: -l LIMIT, --limit LIMIT Number of records to display (default: 10) -v VOL, --vol VOL Minimum trading volume (default: 100) -tx TX, --tx TX Minimum number of transactions (default: 100) --days DAYS Number of days the pair has been active, (default: 10) -s {created,pair,token0,token1,volumeUSD,txCount,totalSupply}, --sort {created,pair,token0,token1,volumeUSD,txCount,totalSupply} Sort by given column. Default: created (default: created) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:27 (✨) /crypto/defi/ $ pairs Latest Added Pairs on Uniswap DEX ┌─────────────────────┬────────────────┬──────────────────────────────────────┬────────────────────┬───────────┬─────────┬─────────────┐ │ created │ pair │ token0 │ token1 │ volumeUSD │ txCount │ totalSupply │ ├─────────────────────┼────────────────┼──────────────────────────────────────┼────────────────────┼───────────┼─────────┼─────────────┤ │ 2022-02-15 07:28:54 │ LIKI/WETH │ Lion King │ Wrapped Ether │ 1.3M │ 327 │ 0 │ ├─────────────────────┼────────────────┼──────────────────────────────────────┼────────────────────┼───────────┼─────────┼─────────────┤ │ 2022-02-15 05:26:25 │ X2Y2/WETH │ X2Y2Token │ Wrapped Ether │ 51.1M │ 2550 │ 124K │ ├─────────────────────┼────────────────┼──────────────────────────────────────┼────────────────────┼───────────┼─────────┼─────────────┤ │ 2022-02-14 20:09:09 │ SIN/WETH │ Sins │ Wrapped Ether │ 2.5M │ 1334 │ 0 │ ├─────────────────────┼────────────────┼──────────────────────────────────────┼────────────────────┼───────────┼─────────┼─────────────┤ │ 2022-02-14 19:41:24 │ YouTube/WETH │ YouTube Metaverse │ Wrapped Ether │ 637.5K │ 105 │ 1.2M │ ├─────────────────────┼────────────────┼──────────────────────────────────────┼────────────────────┼───────────┼─────────┼─────────────┤ │ 2022-02-14 18:13:14 │ ALI/USDC │ Artificial Liquid Intelligence Token │ USD//C │ 4.3M │ 490 │ 3 │ ├─────────────────────┼────────────────┼──────────────────────────────────────┼────────────────────┼───────────┼─────────┼─────────────┤ │ 2022-02-14 16:49:02 │ SuperBowl/WETH │ SuperBowl Metaverse │ Wrapped Ether │ 3.1M │ 161 │ 1.3M │ ├─────────────────────┼────────────────┼──────────────────────────────────────┼────────────────────┼───────────┼─────────┼─────────────┤ │ 2022-02-14 13:31:57 │ LUSHI/WETH │ LuckyShinu │ Wrapped Ether │ 485.3K │ 770 │ 1.3K │ ├─────────────────────┼────────────────┼──────────────────────────────────────┼────────────────────┼───────────┼─────────┼─────────────┤ │ 2022-02-14 13:22:44 │ Google/WETH │ Google Metaverse │ Wrapped Ether │ 3.4M │ 189 │ 745.7K │ ├─────────────────────┼────────────────┼──────────────────────────────────────┼────────────────────┼───────────┼─────────┼─────────────┤ │ 2022-02-13 18:04:58 │ WETH/SKYWALKER │ Wrapped Ether │ Skywalker Protocol │ 888.2K │ 104 │ 54 │ ├─────────────────────┼────────────────┼──────────────────────────────────────┼────────────────────┼───────────┼─────────┼─────────────┤ │ 2022-02-13 17:56:36 │ McDonalds/WETH │ McDonalds Metaverse │ Wrapped Ether │ 2.6M │ 208 │ 1.9M │ └─────────────────────┴────────────────┴──────────────────────────────────────┴────────────────────┴───────────┴─────────┴─────────────┘ "},{"id":239,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/pools/","title":"Pools","parent":"Defi","content":"usage: pairs [-l LIMIT] [-s {volumeUSD,token0.name,token0.symbol,token1.name,token1.symbol,volumeUSD,txCount}] [--descend] [-h] [--export {csv,json,xlsx}] Display uniswap pools by volume. [Source: https://thegraph.com/en/]\noptional arguments: -l LIMIT, --limit LIMIT Number of records to display (default: 10) -s {volumeUSD,token0.name,token0.symbol,token1.name,token1.symbol,volumeUSD,txCount}, --sort {volumeUSD,token0.name,token0.symbol,token1.name,token1.symbol,volumeUSD,txCount} Sort by given column. Default: volumeUSD (default: volumeUSD) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:28 (✨) /crypto/defi/ $ pools Uniswap Pools ┌───────────────────────┬───────────────┬───────────────────┬───────────────┬───────────┬─────────┐ │ token0.name │ token0.symbol │ token1.name │ token1.symbol │ volumeUSD │ txCount │ ├───────────────────────┼───────────────┼───────────────────┼───────────────┼───────────┼─────────┤ │ INFI │ INFI │ Wrapped Ether │ WETH │ 99.5M │ 41195 │ ├───────────────────────┼───────────────┼───────────────────┼───────────────┼───────────┼─────────┤ │ UnFederalReserveToken │ eRSDL │ Wrapped Ether │ WETH │ 994M │ 148106 │ ├───────────────────────┼───────────────┼───────────────────┼───────────────┼───────────┼─────────┤ │ Dinger Token │ DINGER │ Wrapped Ether │ WETH │ 99.4M │ 27552 │ ├───────────────────────┼───────────────┼───────────────────┼───────────────┼───────────┼─────────┤ │ CliffordInu │ CLIFF │ Wrapped Ether │ WETH │ 99.2M │ 38398 │ ├───────────────────────┼───────────────┼───────────────────┼───────────────┼───────────┼─────────┤ │ Wrapped Ether │ WETH │ Gen Shards │ GS │ 99M │ 16773 │ ├───────────────────────┼───────────────┼───────────────────┼───────────────┼───────────┼─────────┤ │ Wrapped Ether │ WETH │ 0x Protocol Token │ ZRX │ 98.9M │ 37163 │ ├───────────────────────┼───────────────┼───────────────────┼───────────────┼───────────┼─────────┤ │ GET │ GET │ Wrapped Ether │ WETH │ 98.9M │ 21632 │ ├───────────────────────┼───────────────┼───────────────────┼───────────────┼───────────┼─────────┤ │ AMPnet APX Token │ AAPX │ Wrapped Ether │ WETH │ 98.7M │ 22957 │ ├───────────────────────┼───────────────┼───────────────────┼───────────────┼───────────┼─────────┤ │ Wrapped Ether │ WETH │ RMPL │ RMPL │ 97.7M │ 46404 │ ├───────────────────────┼───────────────┼───────────────────┼───────────────┼───────────┼─────────┤ │ DSLA │ DSLA │ Wrapped Ether │ WETH │ 97.5M │ 37901 │ └───────────────────────┴───────────────┴───────────────────┴───────────────┴───────────┴─────────┘ "},{"id":240,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/sinfo/","title":"Sinfo","parent":"Defi","content":"usage: sinfo [-a ADDRESS] [-l LIMIT] [-h] [--export {csv,json,xlsx}] Displays staking info of a certain terra address. [Source: https://fcd.terra.dev/swagger]\noptional arguments: -a ADDRESS, --address ADDRESS Terra address. Valid terra addresses start with 'terra' (default: None) -l LIMIT, --limit LIMIT Number of delegations (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":241,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/sratio/","title":"Sratio","parent":"Defi","content":"usage: sratio [-l LIMIT] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Displays terra blockchain staking ratio history. [Source: https://fcd.terra.dev/swagger]\noptional arguments: -l LIMIT, --limit LIMIT Number of days to show (default: 90) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":242,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/sreturn/","title":"Sreturn","parent":"Defi","content":"usage: sreturn [-l LIMIT] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Displays terra blockchain staking returns history. [Source: https://fcd.terra.dev/swagger]\noptional arguments: -l LIMIT, --limit LIMIT Number of days to show (default: 90) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":243,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/stats/","title":"Stats","parent":"Defi","content":"usage: stats [-h] [--export {csv,json,xlsx}] Display base statistics about Uniswap DEX. [Source: https://thegraph.com/en/]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:33 (✨) /crypto/defi/ $ stats Uniswap DEX Base Statistics ┌───────────────────┬────────┐ │ Metric │ Value │ ├───────────────────┼────────┤ │ totalVolumeUSD │ 393.2B │ ├───────────────────┼────────┤ │ totalLiquidityUSD │ 3.3B │ ├───────────────────┼────────┤ │ pairCount │ 63.3K │ ├───────────────────┼────────┤ │ txCount │ 73.6M │ ├───────────────────┼────────┤ │ totalLiquidityETH │ 1.1M │ └───────────────────┴────────┘ "},{"id":244,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/stvl/","title":"Stvl","parent":"Defi","content":"usage: stvl [-l LIMIT] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}]] Displays historical values of the total sum of TVLs from all listed dApps. [Source: https://docs.llama.fi/api]\noptional arguments: -l LIMIT, --limit LIMIT Number of records to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":245,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/swaps/","title":"Swaps","parent":"Defi","content":"usage: swaps [-l LIMIT] [-s {timestamp,token0,token1,amountUSD}] [--descend] [-h] [--export {csv,json,xlsx}] Display last swaps done on Uniswap DEX. [Source: https://thegraph.com/en/]\noptional arguments: -l LIMIT, --limit LIMIT Number of records to display (default: 10) -s {timestamp,token0,token1,amountUSD}, --sort {timestamp,token0,token1,amountUSD} Sort by given column. Default: timestamp (default: timestamp) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:34 (✨) /crypto/defi/ $ swaps Last Uniswap Swaps ┌─────────────────────────────────────┬─────────┬────────┬─────────────────────┐ │ timestamp │ token0 │ token1 │ amountUSD │ ├─────────────────────────────────────┼─────────┼────────┼─────────────────────┤ │ 989.8036910116636250215132843852658 │ SAITAMA │ WETH │ 2022-02-15 12:34:21 │ ├─────────────────────────────────────┼─────────┼────────┼─────────────────────┤ │ 96.90289143394234014296291034812848 │ WETH │ RBIS │ 2022-02-15 12:34:16 │ ├─────────────────────────────────────┼─────────┼────────┼─────────────────────┤ │ 96.13166689256472937997500656514648 │ CRO │ WETH │ 2022-02-15 12:34:16 │ ├─────────────────────────────────────┼─────────┼────────┼─────────────────────┤ │ 5870.220427980296531839870124291824 │ BASD │ WETH │ 2022-02-15 12:34:16 │ ├─────────────────────────────────────┼─────────┼────────┼─────────────────────┤ │ 58.91252385247121053891350741753916 │ WETH │ RIOT │ 2022-02-15 12:34:21 │ ├─────────────────────────────────────┼─────────┼────────┼─────────────────────┤ │ 3429.451646829620606429002872853048 │ STRONG │ WETH │ 2022-02-15 12:34:16 │ ├─────────────────────────────────────┼─────────┼────────┼─────────────────────┤ │ 197.7374918341423326217509222074952 │ HEX │ WETH │ 2022-02-15 12:34:16 │ ├─────────────────────────────────────┼─────────┼────────┼─────────────────────┤ │ 19.09615292253938809540600951822232 │ SAITAMA │ WETH │ 2022-02-15 12:34:21 │ ├─────────────────────────────────────┼─────────┼────────┼─────────────────────┤ │ 1550.329575065031856287197563619452 │ WETH │ NFT │ 2022-02-15 12:34:16 │ ├─────────────────────────────────────┼─────────┼────────┼─────────────────────┤ │ 13146.79479655147014131543533949295 │ WETH │ MIND │ 2022-02-15 12:34:16 │ └─────────────────────────────────────┴─────────┴────────┴─────────────────────┘ "},{"id":246,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/tokens/","title":"Tokens","parent":"Defi","content":"usage: tokens [--skip SKIP] [--limit LIMIT] [-s {index,symbol,name,tradeVolumeUSD,totalLiquidity,txCount}] [--descend] [-h] [--export {csv,json,xlsx}] Display tokens trade-able on Uniswap DEX [Source: https://thegraph.com/en/]\noptional arguments: --skip SKIP Number of records to skip (default: 0) --limit LIMIT Number of records to display (default: 20) -s {index,symbol,name,tradeVolumeUSD,totalLiquidity,txCount}, --sort {index,symbol,name,tradeVolumeUSD,totalLiquidity,txCount} Sort by given column. Default: index (default: index) --descend Flag to sort in descending order (lowest first) (default: True) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:36 (✨) /crypto/defi/ $ tokens UniSwarp DEX Trade-able Tokens ┌───────┬──────────────┬────────────────────────────┬────────────────┬────────────────┬─────────┐ │ index │ symbol │ name │ tradeVolumeUSD │ totalLiquidity │ txCount │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 0 │ BID │ TopBidder │ 17.9M │ 1.9M │ 2496 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 1 │ CHI │ Chi Gastoken by 1inch │ 19.4M │ 25K │ 75833 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 2 │ XDEX │ XDEFI Governance Token │ 18.7M │ 6.1M │ 4316 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 3 │ TUSD │ TrueUSD │ 176.2M │ 71.5K │ 46582 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 4 │ LON │ Tokenlon │ 504M │ 2.3M │ 56107 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 5 │ dDai │ Dharma Dai │ 0 │ 4 │ 1 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 6 │ STRIP │ StripInu2 │ 0 │ 0 │ 614 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 7 │ GST2 │ Gastoken.io │ 2.1M │ 142 │ 10888 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 8 │ XGME │ GameStonk.online │ 0 │ 35.7K │ 65 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 9 │ SHKOOBYSHNAX │ SHKOOBY INU SHNAX │ 0 │ 0 │ 47 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 10 │ PORN │ Porn DAO │ 2.3M │ 1.9K │ 321 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 11 │ TGBP │ TrueGBP │ 24.1K │ 4.1K │ 740 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 12 │ $STEALTH │ Stealth Standard │ 9.2M │ 165.5M │ 1622 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 13 │ ADIDAS │ Adidas Originals Metaverse │ 4.5M │ 0 │ 488 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 14 │ Nike │ Nike RTFKT Studio │ 75.8K │ 0 │ 15 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 15 │ DLTA │ delta.theta │ 3.1M │ 2M │ 2611 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 16 │ Nike │ Nike Metaverse │ 4.5M │ 0 │ 669 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 17 │ Nike │ Nike RTFKT Studio │ 131.6K │ 0 │ 35 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 18 │ PRADA │ Prada Metaverse │ 894.8K │ 0 │ 196 │ ├───────┼──────────────┼────────────────────────────┼────────────────┼────────────────┼─────────┤ │ 19 │ TCAD │ TrueCAD │ 6.5K │ 599 │ 141 │ └───────┴──────────────┴────────────────────────────┴────────────────┴────────────────┴─────────┘ "},{"id":247,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/validators/","title":"Validators","parent":"Defi","content":"usage: validators [-l LIMIT] [-s {validatorName,tokensAmount,votingPower,commissionRate,status,uptime}] [--descend] [-h] [--export {csv,json,xlsx}] Displays information about terra validators. [Source: https://fcd.terra.dev/swagger]\noptional arguments: -l LIMIT, --limit LIMIT Number of validators to show (default: 10) -s {validatorName,tokensAmount,votingPower,commissionRate,status,uptime}, --sort {validatorName,tokensAmount,votingPower,commissionRate,status,uptime} Sort by given column. Default: votingPower (default: votingPower) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:36 (✨) /crypto/defi/ $ validators ┌──────────────────────────────────────────────┬─────────────────────┬───────────────┬────────────────┬───────────────────┬────────┬──────────┐ │ Account address │ Validator name │ Tokens amount │ Voting power % │ Commission rate % │ Status │ Uptime % │ ├──────────────────────────────────────────────┼─────────────────────┼───────────────┼────────────────┼───────────────────┼────────┼──────────┤ │ terra1259cmu5zyklsdkmgstxhwqpe0utfe5hhyygjdc │ Orion.Money │ 21.9M │ 7.20 │ 5.00 │ active │ 100.00 │ ├──────────────────────────────────────────────┼─────────────────────┼───────────────┼────────────────┼───────────────────┼────────┼──────────┤ │ terra15zcjduavxc5mkp8qcqs9eyhwlqwdlrzy6anwpg │ B-Harvest │ 17.9M │ 5.88 │ 5.00 │ active │ 100.00 │ ├──────────────────────────────────────────────┼─────────────────────┼───────────────┼────────────────┼───────────────────┼────────┼──────────┤ │ terra123gn6j23lmexu0qx5qhmgxgunmjcqsx8g5ueq2 │ Staking Fund │ 15.7M │ 5.17 │ 10.00 │ active │ 100.00 │ ├──────────────────────────────────────────────┼─────────────────────┼───────────────┼────────────────┼───────────────────┼────────┼──────────┤ │ terra1v5hrqlv8dqgzvy0pwzqzg0gxy899rm4kdn0jp4 │ DokiaCapital │ 10.3M │ 3.38 │ 5.00 │ active │ 100.00 │ ├──────────────────────────────────────────────┼─────────────────────┼───────────────┼────────────────┼───────────────────┼────────┼──────────┤ │ terra1kprce6kc08a6l03gzzh99hfpazfjeczfpd6td0 │ Certus One │ 9M │ 2.96 │ 10.00 │ active │ 100.00 │ ├──────────────────────────────────────────────┼─────────────────────┼───────────────┼────────────────┼───────────────────┼────────┼──────────┤ │ terra1p54hc4yy2ajg67j645dn73w3378j6k05v52cnk │ hashed │ 7.7M │ 2.53 │ 10.00 │ active │ 100.00 │ ├──────────────────────────────────────────────┼─────────────────────┼───────────────┼────────────────┼───────────────────┼────────┼──────────┤ │ terra1va2ew92dtkhffduswr83elf3nfvl4xg48rguwl │ NOD Games │ 7.4M │ 2.44 │ 0.00 │ active │ 99.99 │ ├──────────────────────────────────────────────┼─────────────────────┼───────────────┼────────────────┼───────────────────┼────────┼──────────┤ │ terra175hhkyxmkp8hf2zrzka7cnn7lk6mudtv4nsp2x │ DSRV - CHAISCAN.com │ 6.7M │ 2.22 │ 10.00 │ active │ 100.00 │ ├──────────────────────────────────────────────┼─────────────────────┼───────────────┼────────────────┼───────────────────┼────────┼──────────┤ │ terra162892yn0tf8dxl8ghgneqykyr8ufrwmcs6vft5 │ Luna Maximalists │ 6.5M │ 2.14 │ 20.00 │ active │ 99.98 │ ├──────────────────────────────────────────────┼─────────────────────┼───────────────┼────────────────┼───────────────────┼────────┼──────────┤ │ terra1h6rf7y2ar5vz64q8rchz5443s3tqnswrpxe69f │ Staked │ 6.3M │ 2.08 │ 10.00 │ active │ 100.00 │ └──────────────────────────────────────────────┴─────────────────────┴───────────────┴────────────────┴───────────────────┴────────┴──────────┘ "},{"id":248,"href":"/OpenBBTerminal/terminal/cryptocurrency/defi/vaults/","title":"Vaults","parent":"Defi","content":"usage: vaults [-c {ethereum,polygon,avalanche,bsc,terra,fantom,moonriver,celo,heco,okex,cronos,arbitrum,eth,harmony,fuse,defichain,solana,optimism,kusama}] [-p {aave,acryptos,alpaca,anchor,autofarm,balancer,bancor,beefy,belt,compound,convex,cream,curve,defichain,geist,lido,liquity,mirror,pancakeswap,raydium,sushi,tarot,traderjoe,tulip,ubeswap,uniswap,venus,yearn}] [-k {lp,single,noimploss,stable}] [-t LIMIT] [-s {name,chain,protocol,apy,tvl,link}] [--descend] [-l] [-h] [--export {csv,json,xlsx}] Display Top DeFi Vaults. [Source: https://coindix.com/]\noptional arguments: -c {ethereum,polygon,avalanche,bsc,terra,fantom,moonriver,celo,heco,okex,cronos,arbitrum,eth,harmony,fuse,defichain,solana,optimism,kusama}, --chain {ethereum,polygon,avalanche,bsc,terra,fantom,moonriver,celo,heco,okex,cronos,arbitrum,eth,harmony,fuse,defichain,solana,optimism,kusama} Blockchain name e.g. ethereum, terra (default: None) -p {aave,acryptos,alpaca,anchor,autofarm,balancer,bancor,beefy,belt,compound,convex,cream,curve,defichain,geist,lido,liquity,mirror,pancakeswap,raydium,sushi,tarot,traderjoe,tulip,ubeswap,uniswap,venus,yearn}, --protocol {aave,acryptos,alpaca,anchor,autofarm,balancer,bancor,beefy,belt,compound,convex,cream,curve,defichain,geist,lido,liquity,mirror,pancakeswap,raydium,sushi,tarot,traderjoe,tulip,ubeswap,uniswap,venus,yearn} DeFi protocol name e.g. aave, uniswap (default: None) -k {lp,single,noimploss,stable}, --kind {lp,single,noimploss,stable} Kind/type of vault e.g. lp, single, noimploss, stable (default: None) -t LIMIT, --top LIMIT Number of records to display (default: 10) -s {name,chain,protocol,apy,tvl,link}, --sort {name,chain,protocol,apy,tvl,link} Sort by given column. Default: timestamp (default: apy) --descend Flag to sort in descending order (lowest first) (default: False) -l, --links Flag to show vault link (default: True) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 May 26, 07:19 (<28>) /crypto/defi/ $ vaults Top DeFi Vaults ┌──────────────────────┬───────────┬──────────┬───────────┬──────────┐ │ Name │ Chain │ Protocol │ APY (%) │ TVL ($) │ ├──────────────────────┼───────────┼──────────┼───────────┼──────────┤ │ ESHARE-BNB │ BNB Chain │ Beefy │ 3034.87 % │ 1.587 M │ ├──────────────────────┼───────────┼──────────┼───────────┼──────────┤ │ BSHARE-FTM │ Fantom │ Beefy │ 1545.3 % │ 1.637 M │ ├──────────────────────┼───────────┼──────────┼───────────┼──────────┤ │ ust-wormholeUST-3Crv │ Ethereum │ Convex │ 1471.74 % │ 2.600 M │ ├──────────────────────┼───────────┼──────────┼───────────┼──────────┤ │ GRAPE-MIM │ Avalanche │ Beefy │ 1404.84 % │ 1.110 M │ ├──────────────────────┼───────────┼──────────┼───────────┼──────────┤ │ BASED-TOMB │ Fantom │ Beefy │ 527.77 % │ 1.139 M │ ├──────────────────────┼───────────┼──────────┼───────────┼──────────┤ │ EMP-ETH │ BNB Chain │ Beefy │ 362.55 % │ 1.257 M │ ├──────────────────────┼───────────┼──────────┼───────────┼──────────┤ │ BADGER-WBTC │ Ethereum │ Balancer │ 340.54 % │ 15.150 M │ ├──────────────────────┼───────────┼──────────┼───────────┼──────────┤ │ BSW-BNB │ BNB Chain │ Alpaca │ 280.7 % │ 1.863 M │ ├──────────────────────┼───────────┼──────────┼───────────┼──────────┤ │ WBTC-OSMO │ Osmosis │ Osmosis │ 231.2 % │ 4.730 M │ ├──────────────────────┼───────────┼──────────┼───────────┼──────────┤ │ ROWAN-OSMO │ Osmosis │ Osmosis │ 228.72 % │ 1.834 M │ └──────────────────────┴───────────┴──────────┴───────────┴──────────┘ "},{"id":249,"href":"/OpenBBTerminal/terminal/cryptocurrency/discovery/","title":"Discovery","parent":"Cryptocurrency","content":" Cggainers Cglosers Cgtop Cgtrending Cmctop Cpsearch Drdapps Drdex Drgames Drnft "},{"id":250,"href":"/OpenBBTerminal/terminal/cryptocurrency/discovery/cggainers/","title":"Cggainers","parent":"Discovery","content":"usage: cggainers [-p {14d,1h,1y,200d,24h,30d,7d}] [-l LIMIT] [-s SORTBY [SORTBY ...]] [-h] [--export {csv,json,xlsx}] Shows Largest Gainers - coins which gain the most in given period. You can use parameter \u0026ndash;period to set which timeframe are you interested in: {14d,1h,1y,200d,24h,30d,7d} You can look on only N number of records with \u0026ndash;limit, You cansort by {Symbol, Name, Price [$], Market Cap [$], Market Cap Rank, Volume [$]} with \u0026ndash;sort.\noptional arguments: -p {14d,1h,1y,200d,24h,30d,7d}, --period {14d,1h,1y,200d,24h,30d,7d} time period, one from {14d,1h,1y,200d,24h,30d,7d} (default: 1h) -l LIMIT, --limit LIMIT Number of records to display (default: 15) -s SORTBY [SORTBY ...], --sort SORTBY [SORTBY ...] Sort by given column. Default: Market Cap Rank (default: Market Cap Rank) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:38 (✨) /crypto/disc/ $ cggainers ┌────────┬─────────────────┬───────────┬────────────────┬─────────────────┬────────────┬───────────────┐ │ Symbol │ Name │ Price [$] │ Market Cap [$] │ Market Cap Rank │ Volume [$] │ Change 1h [%] │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ xrp │ XRP │ 0.84 │ 39.9B │ 6 │ 3.2B │ 0.29 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ luna │ Terra │ 56.50 │ 22.4B │ 9 │ 1B │ 0.14 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ usdc │ USD Coin │ 1.00 │ 52.6B │ 5 │ 3B │ 0.12 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ bnb │ Binance Coin │ 429.85 │ 72.2B │ 4 │ 709.6M │ 0.12 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ btc │ Bitcoin │ 44275.00 │ 838.8B │ 1 │ 20.6B │ 0.11 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ usdt │ Tether │ 1.00 │ 78.5B │ 3 │ 43.3B │ 0.08 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ busd │ Binance USD │ 1.00 │ 17.6B │ 13 │ 3B │ -0.04 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ dot │ Polkadot │ 19.79 │ 21.4B │ 11 │ 672.9M │ -0.12 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ eth │ Ethereum │ 3100.92 │ 370.6B │ 2 │ 14.4B │ -0.24 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ shib │ Shiba Inu │ 0.00 │ 17.2B │ 14 │ 1.1B │ -0.34 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ ada │ Cardano │ 1.09 │ 34.9B │ 7 │ 1B │ -0.41 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ doge │ Dogecoin │ 0.15 │ 19.9B │ 12 │ 604.3M │ -0.50 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ AVAX │ Avalanche │ 88.42 │ 21.7B │ 10 │ 894.8M │ -0.65 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ sol │ Solana │ 102.75 │ 32.7B │ 8 │ 1.8B │ -0.76 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ cro │ Crypto.com Coin │ 0.50 │ 12.5B │ 15 │ 200.8M │ -1.21 │ └────────┴─────────────────┴───────────┴────────────────┴─────────────────┴────────────┴───────────────┘ "},{"id":251,"href":"/OpenBBTerminal/terminal/cryptocurrency/discovery/cglosers/","title":"Cglosers","parent":"Discovery","content":"usage: cglosers [-p {14d,1h,1y,200d,24h,30d,7d}] [-l LIMIT] [-s SORTBY [SORTBY ...]] [-h] [--export {csv,json,xlsx}] Shows Largest Losers - coins which price dropped the most in given period You can use parameter \u0026ndash;period to set which timeframe are you interested in: {14d,1h,1y,200d,24h,30d,7d} You can look on only N number of records with \u0026ndash;limit. You can sort by {Symbol,Name,Price [$],Market Cap [$],Market Cap Rank,Volume [$]} with \u0026ndash;sort.\noptional arguments: -p {14d,1h,1y,200d,24h,30d,7d}, --period {14d,1h,1y,200d,24h,30d,7d} time period, one from {14d,1h,1y,200d,24h,30d,7d} (default: 1h) -l LIMIT, --limit LIMIT Number of records to display (default: 15) -s SORTBY [SORTBY ...], --sort SORTBY [SORTBY ...] Sort by given column. Default: Market Cap Rank (default: Market Cap Rank) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:43 (✨) /crypto/disc/ $ cglosers ┌────────┬─────────────────┬───────────┬────────────────┬─────────────────┬────────────┬───────────────┐ │ Symbol │ Name │ Price [$] │ Market Cap [$] │ Market Cap Rank │ Volume [$] │ Change 1h [%] │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ cro │ Crypto.com Coin │ 0.50 │ 12.5B │ 15 │ 200.8M │ -1.21 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ sol │ Solana │ 102.75 │ 32.7B │ 8 │ 1.8B │ -0.76 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ doge │ Dogecoin │ 0.15 │ 19.9B │ 12 │ 604.3M │ -0.50 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ AVAX │ Avalanche │ 88.66 │ 21.7B │ 10 │ 899.9M │ -0.38 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ ada │ Cardano │ 1.09 │ 34.9B │ 7 │ 1B │ -0.31 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ shib │ Shiba Inu │ 0.00 │ 17.2B │ 14 │ 1.1B │ -0.26 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ eth │ Ethereum │ 3100.92 │ 370.6B │ 2 │ 14.4B │ -0.24 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ dot │ Polkadot │ 19.79 │ 21.4B │ 11 │ 672.9M │ -0.12 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ busd │ Binance USD │ 1.00 │ 17.6B │ 13 │ 3B │ -0.06 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ bnb │ Binance Coin │ 429.57 │ 72.2B │ 4 │ 1.8B │ 0.05 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ usdt │ Tether │ 1.00 │ 78.5B │ 3 │ 43.3B │ 0.08 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ luna │ Terra │ 56.47 │ 22.4B │ 9 │ 1B │ 0.08 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ btc │ Bitcoin │ 44275.00 │ 838.8B │ 1 │ 20.6B │ 0.11 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ usdc │ USD Coin │ 1.00 │ 52.6B │ 5 │ 3B │ 0.12 │ ├────────┼─────────────────┼───────────┼────────────────┼─────────────────┼────────────┼───────────────┤ │ xrp │ XRP │ 0.84 │ 39.9B │ 6 │ 3.2B │ 0.29 │ └────────┴─────────────────┴───────────┴────────────────┴─────────────────┴────────────┴───────────────┘ "},{"id":252,"href":"/OpenBBTerminal/terminal/cryptocurrency/discovery/cgtop/","title":"Cgtop","parent":"Discovery","content":"usage: cgtop [-c CATEGORY] [-l LIMIT] [-s SORTBY [SORTBY ...]] [-h] [--export {csv,json,xlsx}] Shows Largest Gainers - coins which gain the most in given period. You can use parameter \u0026ndash;period to set which timeframe are you interested in: 1h, {14d,1h,1y,200d,24h,30d,7d} You can look on only top N number of records with \u0026ndash;limit, You can sort by {Symbol,Name,Price [$],Market Cap [$],Market Cap Rank,Volume [$]} with \u0026ndash;sort\noptional arguments: -c CATEGORY, --category CATEGORY Category (e.g., stablecoins). Empty for no category (default: ) -l LIMIT, --limit LIMIT Limit of records (default: 10) -s SORTBY [SORTBY ...], --sort SORTBY [SORTBY ...] Sort by given column. Default: Market Cap Rank (default: Market Cap Rank) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:44 (✨) /crypto/disc/ $ cgtop ┌────────┬──────────────┬────────────┬────────────────┬─────────────────┬───────────────┬────────────────┐ │ Symbol │ Name │ Volume [$] │ Market Cap [$] │ Market Cap Rank │ 7D Change [%] │ 24H Change [%] │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ btc │ Bitcoin │ 20.6B │ 838.8B │ 1 │ 0.93 │ 4.77 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ eth │ Ethereum │ 14.4B │ 370.6B │ 2 │ -1.53 │ 7.77 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ usdt │ Tether │ 43.3B │ 78.5B │ 3 │ -0.01 │ -0.05 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ bnb │ Binance Coin │ 1.8B │ 72.2B │ 4 │ -1.01 │ 8.18 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ usdc │ USD Coin │ 3B │ 52.6B │ 5 │ 0.25 │ 0.17 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ xrp │ XRP │ 3.2B │ 39.9B │ 6 │ 0.71 │ 5.51 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ ada │ Cardano │ 1B │ 34.9B │ 7 │ -9.04 │ 5.52 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ sol │ Solana │ 1.8B │ 32.7B │ 8 │ -12.54 │ 10.07 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ luna │ Terra │ 1B │ 22.4B │ 9 │ -5.26 │ 8.67 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ AVAX │ Avalanche │ 899.9M │ 21.7B │ 10 │ 6.28 │ 12.72 │ └────────┴──────────────┴────────────┴────────────────┴─────────────────┴───────────────┴────────────────┘ "},{"id":253,"href":"/OpenBBTerminal/terminal/cryptocurrency/discovery/cgtrending/","title":"Cgtrending","parent":"Discovery","content":"usage: cgtrending [-h] [--export {csv,json,xlsx}] Discover trending coins. Use \u0026ndash;limit parameter to display only top N number of records.\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:45 (✨) /crypto/disc/ $ cgtrending Trending coins on CoinGecko ┌────────────────────┬────────────────────┬─────────────────┐ │ Symbol │ Name │ Market Cap Rank │ ├────────────────────┼────────────────────┼─────────────────┤ │ cellframe │ Cellframe │ 751 │ ├────────────────────┼────────────────────┼─────────────────┤ │ dehub │ DeHub │ 858 │ ├────────────────────┼────────────────────┼─────────────────┤ │ richquack │ Rich Quack │ 476 │ ├────────────────────┼────────────────────┼─────────────────┤ │ smooth-love-potion │ Smooth Love Potion │ 101 │ ├────────────────────┼────────────────────┼─────────────────┤ │ gala │ Gala │ 56 │ ├────────────────────┼────────────────────┼─────────────────┤ │ looksrare │ LooksRare │ 157 │ ├────────────────────┼────────────────────┼─────────────────┤ │ doge-dash │ Doge Dash │ 950 │ └────────────────────┴────────────────────┴─────────────────┘ "},{"id":254,"href":"/OpenBBTerminal/terminal/cryptocurrency/discovery/cmctop/","title":"Cmctop","parent":"Discovery","content":"usage: cmctop [-l LIMIT] [-s {Symbol,CMC_Rank,LastPrice,DayPctChange,MarketCap}] [--descend] [-h] [--export {csv,json,xlsx}] This gets the top ranked coins from coinmarketcap.com\noptional arguments: -l LIMIT, --limit LIMIT Limit of records (default: 15) -s {Symbol,CMC_Rank,LastPrice,DayPctChange,MarketCap}, --sort {Symbol,CMC_Rank,LastPrice,DayPctChange,MarketCap} column to sort data by. (default: CMC_Rank) --descend Flag to sort in descending order (lowest first) (default: True) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:50 (✨) /crypto/disc/ $ cmctop Top Coins ┌────────┬──────────┬────────────┬──────────────────┬─────────────────┐ │ Symbol │ CMC_Rank │ Last Price │ 1 Day Pct Change │ Market Cap ($B) │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ BTC │ 1 │ 44288.57 │ 4.93 │ 839.66 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ ETH │ 2 │ 3101.37 │ 7.90 │ 370.89 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ USDT │ 3 │ 1.00 │ 0.01 │ 78.51 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ BNB │ 4 │ 428.98 │ 7.96 │ 70.83 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ USDC │ 5 │ 1.00 │ 0.04 │ 52.51 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ XRP │ 6 │ 0.83 │ 5.42 │ 39.87 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ ADA │ 7 │ 1.09 │ 5.74 │ 36.69 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ SOL │ 8 │ 102.92 │ 10.24 │ 32.84 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ LUNA │ 9 │ 56.25 │ 8.37 │ 22.40 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ AVAX │ 10 │ 88.74 │ 13.11 │ 21.77 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ DOGE │ 11 │ 0.15 │ 3.68 │ 19.94 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ DOT │ 12 │ 19.78 │ 7.69 │ 19.54 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ BUSD │ 13 │ 1.00 │ 0.04 │ 17.56 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ SHIB │ 14 │ 0.00 │ 4.67 │ 17.25 │ ├────────┼──────────┼────────────┼──────────────────┼─────────────────┤ │ MATIC │ 15 │ 1.79 │ 10.55 │ 13.45 │ └────────┴──────────┴────────────┴──────────────────┴─────────────────┘ "},{"id":255,"href":"/OpenBBTerminal/terminal/cryptocurrency/discovery/cpsearch/","title":"Cpsearch","parent":"Discovery","content":"usage: cpsearch [-q QUERY [QUERY ...]] [-c {currencies,exchanges,icos,people,tags,all}] [-l LIMIT] [-s {category,id,name}] [--descend] [-h] [--export {csv,json,xlsx}] Search over CoinPaprika API You can display only top N number of results with \u0026ndash;top parameter. You can sort data by id, name , category \u0026ndash;sort parameter and also with \u0026ndash;descend flag to sort descending. To choose category in which you are searching for use \u0026ndash;cat/-c parameter. Available categories: currencies|exchanges|icos|people|tags|all Displays: id, name, category\noptional arguments: -q QUERY [QUERY ...], --query QUERY [QUERY ...] phrase for search (default: None) -c {currencies,exchanges,icos,people,tags,all}, --cat {currencies,exchanges,icos,people,tags,all} Categories to search: currencies|exchanges|icos|people|tags|all. Default: all (default: all) -l LIMIT, --limit LIMIT Limit of records (default: 10) -s {category,id,name}, --sort {category,id,name} Sort by given column. Default: id (default: id) --descend Flag to sort in descending order (lowest first) (default: True) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:51 (✨) /crypto/disc/ $ cpsearch -q bitcoin CoinPaprika Results ┌─────────────────────────┬──────────────────────┬────────────┐ │ id │ name │ category │ ├─────────────────────────┼──────────────────────┼────────────┤ │ bbtc-baby-bitcoin │ Baby Bitcoin │ currencies │ ├─────────────────────────┼──────────────────────┼────────────┤ │ bc-bitcoin-confidential │ Bitcoin Confidential │ currencies │ ├─────────────────────────┼──────────────────────┼────────────┤ │ bca-bitcoin-atom │ Bitcoin Atom │ currencies │ ├─────────────────────────┼──────────────────────┼────────────┤ │ bcd-bitcoin-diamond │ Bitcoin Diamond │ currencies │ ├─────────────────────────┼──────────────────────┼────────────┤ │ bcf-bitcoin-fast │ Bitcoin Fast │ currencies │ ├─────────────────────────┼──────────────────────┼────────────┤ │ bch-bitcoin-cash │ Bitcoin Cash │ currencies │ ├─────────────────────────┼──────────────────────┼────────────┤ │ bch-bitcoin-cash-token │ Bitcoin Cash Token │ currencies │ ├─────────────────────────┼──────────────────────┼────────────┤ │ bci-bitcoin-interest │ Bitcoin Interest │ currencies │ ├─────────────────────────┼──────────────────────┼────────────┤ │ bcr-bitcoinrock │ BITCOINROCK │ currencies │ ├─────────────────────────┼──────────────────────┼────────────┤ │ bct-bitcointrust │ BitcoinTrust │ currencies │ └─────────────────────────┴──────────────────────┴────────────┘ "},{"id":256,"href":"/OpenBBTerminal/terminal/cryptocurrency/discovery/drdapps/","title":"Drdapps","parent":"Discovery","content":"usage: drdapps [-l N] [-s {Name,Category,Protocols,Daily Users,Daily Volume [$]}] [--descend] [-l] [--export {csv,json,xlsx}] [-h] Shows top decentralized applications [Source: https://dappradar.com/]\nAccepts \u0026ndash;sort {Name,Category,Protocols,Daily Users,Daily Volume [$]} to sort by column\noptional arguments: -l N, --limit N display N records (default: 15) -s --sort {Name,Category,Protocols,Daily Users,Daily Volume [$]} Sort by given column --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 06:52 (✨) /crypto/disc/ $ drdapps Top Decentralized Applications ┌───────────────┬──────────────┬─────────────────────────┬─────────────┬──────────────────┐ │ Name │ Category │ Protocols │ Daily Users │ Daily Volume [$] │ ├───────────────┼──────────────┼─────────────────────────┼─────────────┼──────────────────┤ │ Splinterlands │ games │ hive,wax │ 305.1K │ 8K │ ├───────────────┼──────────────┼─────────────────────────┼─────────────┼──────────────────┤ │ PancakeSwap │ defi │ binance-smart-chain │ 289.3K │ 223.7M │ ├───────────────┼──────────────┼─────────────────────────┼─────────────┼──────────────────┤ │ Alien Worlds │ games │ wax,binance-smart-chain │ 235.6K │ 759.2K │ ├───────────────┼──────────────┼─────────────────────────┼─────────────┼──────────────────┤ │ Farmers World │ games │ wax │ 111.7K │ 2.3K │ ├───────────────┼──────────────┼─────────────────────────┼─────────────┼──────────────────┤ │ AtomicAssets │ other │ wax,eos │ 108.9K │ 226.3K │ ├───────────────┼──────────────┼─────────────────────────┼─────────────┼──────────────────┤ │ Axie Infinity │ games │ ronin,ethereum │ 90.9K │ 11.6M │ ├───────────────┼──────────────┼─────────────────────────┼─────────────┼──────────────────┤ │ Upland │ games │ eos │ 63.3K │ 0 │ ├───────────────┼──────────────┼─────────────────────────┼─────────────┼──────────────────┤ │ OpenSea │ marketplaces │ ethereum,polygon │ 54K │ 200M │ ├───────────────┼──────────────┼─────────────────────────┼─────────────┼──────────────────┤ │ Katana │ defi │ ronin │ 45.9K │ 92.7M │ ├───────────────┼──────────────┼─────────────────────────┼─────────────┼──────────────────┤ │ Magic Eden │ marketplaces │ solana │ 40.2K │ 18.5M │ └───────────────┴──────────────┴─────────────────────────┴─────────────┴──────────────────┘ "},{"id":257,"href":"/OpenBBTerminal/terminal/cryptocurrency/discovery/drdex/","title":"Drdex","parent":"Discovery","content":"usage: drdex [-l N] [-s {Name,Daily Users,Daily Volume [$]}] [--descend] [-l] [--export {csv,json,xlsx}] [-h] Shows top decentralized exchanges [Source: https://dappradar.com/]\nAccepts \u0026ndash;sort {Name,Daily Users,Daily Volume [$]} to sort by column\noptional arguments: -l N, --limit N display N records (default: 15) -s --sort {Name,Daily Users,Daily Volume [$]} Sort by given column --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 06:52 (✨) /crypto/disc/ $ drdex Top Decentralized Exchanges ┌───────────────┬─────────────┬──────────────────┐ │ Name │ Daily Users │ Daily Volume [$] │ ├───────────────┼─────────────┼──────────────────┤ │ Splinterlands │ 305.1K │ 8K │ ├───────────────┼─────────────┼──────────────────┤ │ PancakeSwap │ 289.3K │ 223.7M │ ├───────────────┼─────────────┼──────────────────┤ │ Alien Worlds │ 235.6K │ 759.2K │ ├───────────────┼─────────────┼──────────────────┤ │ Farmers World │ 111.7K │ 2.3K │ ├───────────────┼─────────────┼──────────────────┤ │ AtomicAssets │ 108.9K │ 226.3K │ ├───────────────┼─────────────┼──────────────────┤ │ Axie Infinity │ 90.9K │ 11.6M │ ├───────────────┼─────────────┼──────────────────┤ │ Upland │ 63.3K │ 0 │ ├───────────────┼─────────────┼──────────────────┤ │ OpenSea │ 54K │ 200M │ ├───────────────┼─────────────┼──────────────────┤ │ Katana │ 45.9K │ 92.7M │ ├───────────────┼─────────────┼──────────────────┤ │ Magic Eden │ 40.2K │ 18.5M │ └───────────────┴─────────────┴──────────────────┘ "},{"id":258,"href":"/OpenBBTerminal/terminal/cryptocurrency/discovery/drgames/","title":"Drgames","parent":"Discovery","content":"usage: drgames [-l N] [-s {Name,Daily Users,Daily Volume [$]}] [--descend] [-l] [--export {csv,json,xlsx}] [-h] Shows top blockchain games [Source: https://dappradar.com/]\nAccepts \u0026ndash;sort {Name,Daily Users,Daily Volume [$]} to sort by column\noptional arguments: -l N, --limit N display N records (default: 15) -s --sort {Name,Daily Users,Daily Volume [$]} Sort by given column --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 06:53 (✨) /crypto/disc/ $ drgames Top Blockchain Games ┌───────────────┬─────────────┬──────────────────┐ │ Name │ Daily Users │ Daily Volume [$] │ ├───────────────┼─────────────┼──────────────────┤ │ Splinterlands │ 305.1K │ 8K │ ├───────────────┼─────────────┼──────────────────┤ │ PancakeSwap │ 289.3K │ 223.7M │ ├───────────────┼─────────────┼──────────────────┤ │ Alien Worlds │ 235.6K │ 759.2K │ ├───────────────┼─────────────┼──────────────────┤ │ Farmers World │ 111.7K │ 2.3K │ ├───────────────┼─────────────┼──────────────────┤ │ AtomicAssets │ 108.9K │ 226.3K │ ├───────────────┼─────────────┼──────────────────┤ │ Axie Infinity │ 90.9K │ 11.6M │ ├───────────────┼─────────────┼──────────────────┤ │ Upland │ 63.3K │ 0 │ ├───────────────┼─────────────┼──────────────────┤ │ OpenSea │ 54K │ 200M │ ├───────────────┼─────────────┼──────────────────┤ │ Katana │ 45.9K │ 92.7M │ ├───────────────┼─────────────┼──────────────────┤ │ Magic Eden │ 40.2K │ 18.5M │ └───────────────┴─────────────┴──────────────────┘ "},{"id":259,"href":"/OpenBBTerminal/terminal/cryptocurrency/discovery/drnft/","title":"Drnft","parent":"Discovery","content":"usage: drnft [-l N] [-s {Name,Protocols,Floor Price [$],Avg Price [$],Market Cap [$],Volume [$]}] [--descend] [-l] [--export {csv,json,xlsx}] [-h] Shows top NFT collections [Source: https://dappradar.com/]\nAccepts \u0026ndash;sort {Name,Protocols,Floor Price [$],Avg Price [$],Market Cap [$],Volume [$]} to sort by column\noptional arguments: -l N, --limit N display N records (default: 15) -s --sort {Name,Protocols,Floor Price [$],Avg Price [$],Market Cap [$],Volume [$]} Sort by given column --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":260,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/","title":"Due Diligence","parent":"Cryptocurrency","content":"Due diligence is a process that involves doing an investigation, audit, or review to verify facts or information about a subject. Due diligence in the financial industry entails a review of financial records prior to entering into a proposed deal with another party.\nAvailable commands Active Ath Atl Balance Basic Bc Cbbook Change Dev Eb Events Ex Fr Gh Gov Info Inv Links Market Mcapdom Mkt Mt News Nonzero Oi Pi Ps Rm Score Social Stats Team Tk Trades Twitter Web "},{"id":261,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/active/","title":"Active","parent":"Due Diligence","content":"usage: active [-s INITIAL_DATE] [-u END_DATE] [-i {1h, 24h, 10m, 1w, 1month}] [--export {csv,json,xlsx}] [-h] Display active addresses on a certain blockchain over time [Source: https://glassnode.org]\nThe number of unique addresses that were active either as a sender or receiver. Only addresses that were active in successful transactions are counted.\nSupported assets: BTC, ETH, LTC, AAVE, ABT, AMPL, ANT, ARMOR, BADGER, BAL, BAND, BAT, BIX, BNT, BOND, BRD, BUSD, BZRX, CELR, CHSB, CND, COMP, CREAM, CRO, CRV, CVC, CVP, DAI, DDX, DENT, DGX, DHT, DMG, DODO, DOUGH, DRGN, ELF, ENG, ENJ, EURS, FET, FTT, FUN, GNO, GUSD, HEGIC, HOT, HPT, HT, HUSD, INDEX, KCS, LAMB, LBA, LDO, LEO, LINK, LOOM, LRC, MANA, MATIC, MCB, MCO, MFT, MIR, MKR, MLN, MTA, MTL, MX, NDX, NEXO, NFTX, NMR, Nsure, OCEAN, OKB, OMG, PAX, PAY, PERP, PICKLE, PNK, PNT, POLY, POWR, PPT, QASH, QKC, QNT, RDN, REN, REP, RLC, ROOK, RPL, RSR, SAI, SAN, SNT, SNX, STAKE, STORJ, sUSD, SUSHI, TEL, TOP, UBT, UMA, UNI, USDC, USDK, USDT, UTK, VERI, WaBi, WAX, WBTC, WETH, wNMX, WTC, YAM, YFI, ZRX\narguments: -s DATE --since DATE Start date (default: 1 year before, e.g., 2020-10-22) -u DATE --until DATE End date (default: current day, e.g., 2021-10-22) -i INTERV --interval INTERV Interval frequency (default: 24h) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":262,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/ath/","title":"Ath","parent":"Due Diligence","content":"usage: ath [--export {csv,json,xlsx}] [--vs {usd,btc}] [-h] All time high data for loaded coin\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) --vs {usd,btc} currency (default: usd) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:04 (✨) /crypto/dd/ $ ath Coin Highs ┌─────────────────────────────────────┬──────────────────────────┐ │ Metric │ Value │ ├─────────────────────────────────────┼──────────────────────────┤ │ Current Price USD │ 44302 │ ├─────────────────────────────────────┼──────────────────────────┤ │ All Time High USD │ 69045 │ ├─────────────────────────────────────┼──────────────────────────┤ │ All Time High Date USD │ 2021-11-10T14:24:11.849Z │ ├─────────────────────────────────────┼──────────────────────────┤ │ All Time High Change Percentage USD │ -35.75 │ └─────────────────────────────────────┴──────────────────────────┘ "},{"id":263,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/atl/","title":"Atl","parent":"Due Diligence","content":"usage: atl [--vs {usd,btc}] [--export {csv,json,xlsx}] [-h] All time low data for loaded coin\noptional arguments: --vs {usd,btc} currency (default: usd) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:05 (✨) /crypto/dd/ $ atl Coin Lows ┌────────────────────────────────────┬──────────────────────────┐ │ Metric │ Value │ ├────────────────────────────────────┼──────────────────────────┤ │ Current Price USD │ 44302 │ ├────────────────────────────────────┼──────────────────────────┤ │ All Time Low USD │ 67.81 │ ├────────────────────────────────────┼──────────────────────────┤ │ All Time Low Date USD │ 2013-07-06T00:00:00.000Z │ ├────────────────────────────────────┼──────────────────────────┤ │ All Time Low Change Percentage USD │ 65317.50 │ └────────────────────────────────────┴──────────────────────────┘ "},{"id":264,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/balance/","title":"Balance","parent":"Due Diligence","content":"usage: balance [--vs {USDT,TUSD,USDC,BUSD,NGN,RUB,TRY,EUR,IDRT,GBP,UAH,BIDR,AUD,DAI,BRL,VAI,USDP}] [--export {csv,json,xlsx}] [-h] Display balance\noptional arguments: --vs {USDT,TUSD,USDC,BUSD,NGN,RUB,TRY,EUR,IDRT,GBP,UAH,BIDR,AUD,DAI,BRL,VAI,USDP} Quote currency (what to view coin vs) (default: USDT) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":265,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/basic/","title":"Basic","parent":"Due Diligence","content":"usage: basic [--export {csv,json,xlsx}] [-h] Get basic information for coin. Like: name, symbol, rank, type, description, platform, proof_type, contract, tags, parent\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:10 (✨) /crypto/dd/ $ basic Basic Coin Information ┌─────────────┬───────────────────────────────────────────────────────────────────────────────┐ │ Metric │ Value │ ├─────────────┼───────────────────────────────────────────────────────────────────────────────┤ │ id │ btc-bitcoin │ ├─────────────┼───────────────────────────────────────────────────────────────────────────────┤ │ name │ Bitcoin │ ├─────────────┼───────────────────────────────────────────────────────────────────────────────┤ │ symbol │ BTC │ ├─────────────┼───────────────────────────────────────────────────────────────────────────────┤ │ rank │ 1 │ ├─────────────┼───────────────────────────────────────────────────────────────────────────────┤ │ type │ coin │ ├─────────────┼───────────────────────────────────────────────────────────────────────────────┤ │ description │ Bitcoin is a cryptocurrency and worldwide payment system. It is the first │ │ │ decentralized digital currency, as the system works without a central bank or │ │ │ single administrator. │ ├─────────────┼───────────────────────────────────────────────────────────────────────────────┤ │ platform │ bnb-binance-coin │ ├─────────────┼───────────────────────────────────────────────────────────────────────────────┤ │ proof_type │ Proof of Work │ ├─────────────┼───────────────────────────────────────────────────────────────────────────────┤ │ contract │ 0x719bd7b3d60f0b194fdbe4570aeda1b3712b4986 │ ├─────────────┼───────────────────────────────────────────────────────────────────────────────┤ │ tags │ Segwit, Cryptocurrency, Proof Of Work, Payments, Sha256, Mining, Lightning │ │ │ Network │ ├─────────────┼───────────────────────────────────────────────────────────────────────────────┤ │ parent │ bnb-binance-coin │ └─────────────┴───────────────────────────────────────────────────────────────────────────────┘ "},{"id":266,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/bc/","title":"Bc","parent":"Due Diligence","content":"usage: bc [--export {csv,json,xlsx}] [-h] Blockchain explorers URLs for loaded coin. Those are sites like etherescan.io or polkascan.io in which you can see all blockchain data e.g. all txs, all tokens, all contracts\u0026hellip;\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:10 (✨) /crypto/dd/ $ bc Blockchain URLs ┌────────┬─────────────────────────────────┐ │ Metric │ Value │ ├────────┼─────────────────────────────────┤ │ 0 │ https://blockchair.com/bitcoin/ │ ├────────┼─────────────────────────────────┤ │ 1 │ https://btc.com/ │ ├────────┼─────────────────────────────────┤ │ 2 │ https://btc.tokenview.com/ │ └────────┴─────────────────────────────────┘ "},{"id":267,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/cbbook/","title":"Cbbook","parent":"Due Diligence","content":"usage: book [-l {5,10,20,50,100,500,1000,5000}] [--vs {USDT,TUSD,USDC,BUSD,NGN,RUB,TRY,EUR,IDRT,GBP,UAH,BIDR,AUD,DAI,BRL,VAI,USDP}] [--export {csv,json,xlsx}] [-h] Get the order book for selected coin\noptional arguments: --vs {USDC,UST,USDT,EUR,GBP,USD} Quote currency (what to view coin vs) (default: USDT) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":268,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/change/","title":"Change","parent":"Due Diligence","content":"usage: change [-e EXCHANGE] [-s INITIAL_DATE] [-u END_DATE] [-i {1h, 24h, 10m, 1w, 1month}] [--export {csv,json,xlsx}] [-h] Display 30d change of the supply held in exchange wallets. [Source: https://glassnode.org]\nSupported assets: BTC, ETH, LTC, AAVE, ABT, AMPL, ANT, ARMOR, BADGER, BAL, BAND, BAT, BIX, BNT, BOND, BRD, BUSD, BZRX, CELR, CHSB, CND, COMP, CREAM, CRO, CRV, CVC, CVP, DAI, DDX, DENT, DGX, DHT, DMG, DODO, DOUGH, DRGN, ELF, ENG, ENJ, EURS, FET, FTT, FUN, GNO, GUSD, HEGIC, HOT, HPT, HT, HUSD, INDEX, KCS, LAMB, LBA, LDO, LEO, LINK, LOOM, LRC, MANA, MATIC, MCB, MCO, MFT, MIR, MKR, MLN, MTA, MTL, MX, NDX, NEXO, NFTX, NMR, Nsure, OCEAN, OKB, OMG, PAX, PAY, PERP, PICKLE, PNK, PNT, POLY, POWR, PPT, QASH, QKC, QNT, RDN, REN, REP, RLC, ROOK, RPL, RSR, SAI, SAN, SNT, SNX, STAKE, STORJ, sUSD, SUSHI, TEL, TOP, UBT, UMA, UNI, USDC, USDK, USDT, UTK, VERI, WaBi, WAX, WBTC, WETH, wNMX, WTC, YAM, YFI, ZRX\nSupported exchanges: aggregated, binance, bittrex, coinex, gate.io, gemini, huobi, kucoin, poloniex, bibox, bigone, bitfinex, hitbtc, kraken, okex, bithumb, zb.com, cobinhood, bitmex, bitstamp, coinbase, coincheck, luno\noptional arguments: -a EXCHANGE Exchange to check (default: aggregated) -s DATE --since DATE Start date (default: 3 years before, e.g., 2018-10-22) -u DATE --until DATE End date (default: 2 years before, e.g., 2019-10-22) -i INTERV --interval INTERV Interval frequency (default: 24h) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":269,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/dev/","title":"Dev","parent":"Due Diligence","content":"usage: dev [--export {csv,json,xlsx}] [-h] Developers data for loaded coin. If the development data is available you can see how the code development of given coin is going on. There are some statistics that shows number of stars, forks, subscribers, pull requests, commits, merges, contributors on github.\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:13 (✨) /crypto/dd/ $ dev Developers Data for Loaded Coin ┌───────────────────────────┬───────┐ │ Metric │ Value │ ├───────────────────────────┼───────┤ │ Forks │ 31593 │ ├───────────────────────────┼───────┤ │ Stars │ 61894 │ ├───────────────────────────┼───────┤ │ Subscribers │ 3904 │ ├───────────────────────────┼───────┤ │ Total Issues │ 6729 │ ├───────────────────────────┼───────┤ │ Closed Issues │ 6114 │ ├───────────────────────────┼───────┤ │ Pull Requests Merged │ 9418 │ ├───────────────────────────┼───────┤ │ Pull Request Contributors │ 771 │ ├───────────────────────────┼───────┤ │ Commit Count 4 Weeks │ 266 │ └───────────────────────────┴───────┘ "},{"id":270,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/eb/","title":"Eb","parent":"Due Diligence","content":"usage: eb [-e EXCHANGE] [-p {True, False}] [-s INITIAL_DATE] [-u END_DATE] [-i {1h, 24h, 10m, 1w, 1month}] [--export {csv,json,xlsx}] [-h] Display total amount of coins held on exchange addresses in units and percentage. [Source: https://glassnode.org]\nSupported assets: BTC, ETH, LTC, AAVE, ABT, AMPL, ANT, ARMOR, BADGER, BAL, BAND, BAT, BIX, BNT, BOND, BRD, BUSD, BZRX, CELR, CHSB, CND, COMP, CREAM, CRO, CRV, CVC, CVP, DAI, DDX, DENT, DGX, DHT, DMG, DODO, DOUGH, DRGN, ELF, ENG, ENJ, EURS, FET, FTT, FUN, GNO, GUSD, HEGIC, HOT, HPT, HT, HUSD, INDEX, KCS, LAMB, LBA, LDO, LEO, LINK, LOOM, LRC, MANA, MATIC, MCB, MCO, MFT, MIR, MKR, MLN, MTA, MTL, MX, NDX, NEXO, NFTX, NMR, Nsure, OCEAN, OKB, OMG, PAX, PAY, PERP, PICKLE, PNK, PNT, POLY, POWR, PPT, QASH, QKC, QNT, RDN, REN, REP, RLC, ROOK, RPL, RSR, SAI, SAN, SNT, SNX, STAKE, STORJ, sUSD, SUSHI, TEL, TOP, UBT, UMA, UNI, USDC, USDK, USDT, UTK, VERI, WaBi, WAX, WBTC, WETH, wNMX, WTC, YAM, YFI, ZRX\nSupported exchanges: aggregated, binance, bittrex, coinex, gate.io, gemini, huobi, kucoin, poloniex, bibox, bigone, bitfinex, hitbtc, kraken, okex, bithumb, zb.com, cobinhood, bitmex, bitstamp, coinbase, coincheck, luno\narguments: -e EXCHANGE Exchange to check (default: aggregated) -p {True, False} Show percentage instead of stacked value (default: False) -s DATE --since DATE Start date (default: 3 years before, e.g., 2018-10-22) -u DATE --until DATE End date (default: 2 years before, e.g., 2019-10-22) -i INTERV --interval INTERV Interval frequency (default: 24h) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":271,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/events/","title":"Events","parent":"Due Diligence","content":"usage: events [-l N] [-s {date,date_to,name,description,is_conference}] [--descend] [-u] [--export {csv,json,xlsx}] [-h] Show information about most important coins events. Most of coins doesn\u0026rsquo;t have any events. You can display only N number of events with \u0026ndash;limit parameter. You can sort data by id, date , date_to, name, description, is_conference \u0026ndash;sort parameter and also with \u0026ndash;descend flag to sort descending. You can use additional flag \u0026ndash;urls to see urls for each event Displays: date , date_to, name, description, is_conference, link, proof_image_link\noptional arguments: -l N, --limit N Limit of records (default: 10) -s {date,date_to,name,description,is_conference}, --sort {date,date_to,name,description,is_conference} Sort by given column. Default: date (default: date) --descend Flag to sort in descending order (lowest first) (default: False) -u, --urls Flag to show urls. If you will use that flag you will see only date, name, link columns (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:14 (✨) /crypto/dd/ $ events All Events ┌────────────┬────────────┬────────────────────────────────────────────────────────────────────────────────────────────────────────┬─────────────────────────────────────────┬───────────────┐ │ date │ date_to │ name │ description │ is_conference │ ├────────────┼────────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────┼───────────────┤ │ 2021-06-11 │ None │ Ask El Salvador for advice: Cuba suspends dollar cash deposits in banks due to US sanctions │ │ False │ │ 00:00:00 │ │ │ │ │ ├────────────┼────────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────┼───────────────┤ │ 2021-06-11 │ None │ One of the Richest Bitcoin Whales in History Bought $138,000,000 in BTC Amid Market Turmoil – AronBoss │ │ False │ │ 00:00:00 │ │ │ │ │ ├────────────┼────────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────┼───────────────┤ │ 2021-05-10 │ None │ Bitcoin’s upcoming Taproot upgrade and why it matters for the network │ │ False │ │ 00:00:00 │ │ │ │ │ ├────────────┼────────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────┼───────────────┤ │ 2021-03-24 │ 2021-03-26 │ THE CRYPTO GATHERING │ │ False │ │ 08:00:00 │ 23:00:00 │ │ │ │ ├────────────┼────────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────┼───────────────┤ │ 2018-10-09 │ 2018-10-09 │ Blockchain \u0026amp; Bitcoin Conference Switzerland │ The second conference organized by │ True │ │ 09:00:00 │ 18:00:00 │ │ Smile-Expo company in Geneva, the │ │ │ │ │ │ European fintech hub. The conference │ │ │ │ │ │ will also feature the demozone. │ │ ├────────────┼────────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────┼───────────────┤ │ 2018-09-28 │ 2018-09-30 │ Super Conference │ KWIC, Kitchener - Waterloo, ON, Canada. │ True │ │ 20:00:00 │ 16:00:00 │ │ 29 September, 2018 │ │ ├────────────┼────────────┼────────────────────────────────────────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────┼───────────────┤ │ 2018-07-10 │ None │ SEC- ETF VanEck decision │ │ False │ │ 12:00:00 │ │ │ │ │ └────────────┴────────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────┴─────────────────────────────────────────┴───────────────┘ "},{"id":272,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/ex/","title":"Ex","parent":"Due Diligence","content":"usage: ex [-l N] [-s {id,name,adjusted_volume_24h_share,fiats}] [--descend] [--export {csv,json,xlsx}] [-h] Get all exchanges found for given coin. You can display only N number of exchanges with \u0026ndash;limit parameter. You can sort data by id, name, adjusted_volume_24h_share, fiats \u0026ndash;sort parameter and also with \u0026ndash;descend flag to sort descending. Displays: id, name, adjusted_volume_24h_share, fiats\noptional arguments: -l N, --limit N Limit of records (default: 10) -s {id,name,adjusted_volume_24h_share,fiats}, --sort {id,name,adjusted_volume_24h_share,fiats} Sort by given column. Default: date (default: adjusted_volume_24h_share) --descend Flag to sort in descending order (lowest first) (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":273,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/fr/","title":"Fr","parent":"Due Diligence","content":"usage: fr [-h] [--export EXPORT]\nDisplay asset\u0026rsquo;s fundraising details [Source: https://messari.io]\noptional arguments: -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) "},{"id":274,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/gh/","title":"Gh","parent":"Due Diligence","content":"usage: gh [-i INTERVAL] [-d DEV] [-s START] [-end END] [-h] [--export EXPORT] Display github activity over time for a given coin. [Source: https://santiment.net/]\noptional arguments: -i INTERVAL, --interval INTERVAL Frequency interval. Default: 1d (default: 1w) -d DEV, --dev DEV Filter only for development activity. Default: False (default: False) -s START, --start START Initial date. Default: A year ago (default: 2021-04-25) -end END, --end END End date. Default: Today (default: 2022-04-25) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":275,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/gov/","title":"Gov","parent":"Due Diligence","content":"usage: gov [-h] [--export EXPORT]\nDisplay asset\u0026rsquo;s governance [Source: https://messari.io]\noptional arguments: -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) "},{"id":276,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/info/","title":"Info","parent":"Due Diligence","content":"usage: info [--export {csv,json,xlsx}] [-h] Shows basic information about loaded coin like: Name, Symbol, Description, Market Cap, Public Interest, Supply, and Price related metrics\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:34 (✨) /crypto/dd/ $ info Basic Coin Information ┌─────────────────────────────┬──────────────────────────────────────────────────────────────────────────────────┐ │ Metric │ Value │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Id │ bitcoin │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Name │ Bitcoin │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Symbol │ btc │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Description │ Bitcoin is the first successful internet money based on peer-to-peer technology; │ │ │ whereby no central bank or authority is involved in the transaction and │ │ │ production of the Bitcoin currency. It was created by an anonymous │ │ │ individual/group under the name, Satoshi Nakamoto. The source code is available │ │ │ publicly as an open source project, anybody can look at it and be part of the │ │ │ developmental process. Bitcoin is changing the way we see money as we speak. The │ │ │ idea was to produce a means of exchange, independent of any central authority, │ │ │ that could be transferred electronically in a secure, verifiable and immutable │ │ │ way. It is a decentralized peer-to-peer internet currency making mobile payment │ │ │ easy, very low transaction fees, protects your identity, and it works anywhere │ │ │ all the time with no central authority and banks. Bitcoin is designed to have │ │ │ only 21 million BTC ever created, thus making it a deflationary currency. │ │ │ Bitcoin uses the SHA-256 hashing algorithm with an average transaction │ │ │ confirmation time of 10 minutes. Miners today are mining Bitcoin using ASIC chip │ │ │ dedicated to only mining Bitcoin, and the hash rate has shot up to peta hashes. │ │ │ Being the first successful online cryptography currency, Bitcoin has inspired │ │ │ other alternative currencies such as Litecoin, Peercoin, Primecoin, and so on. │ │ │ The cryptocurrency then took off with the innovation of the turing-complete │ │ │ smart contract by Ethereum which led to the development of other amazing │ │ │ projects such as EOS, Tron, and even crypto-collectibles such as CryptoKitties. │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Contract Address │ {} │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Market Cap Rank │ 1 │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Public Interest Score │ 0.34 │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Total Supply │ 21000000.00 │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Max Supply │ 21000000.00 │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Circulating Supply │ 18958987.00 │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Price Change Percentage 24H │ 4.47 │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Price Change Percentage 7D │ 0.82 │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Price Change Percentage 30D │ 2.41 │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Current Price Btc │ 1.00 │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Current Price Eth │ 14.27 │ ├─────────────────────────────┼──────────────────────────────────────────────────────────────────────────────────┤ │ Current Price Usd │ 44269 │ └─────────────────────────────┴──────────────────────────────────────────────────────────────────────────────────┘ "},{"id":277,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/inv/","title":"Inv","parent":"Due Diligence","content":"usage: inv [-h] [--export EXPORT]\nDisplay asset\u0026rsquo;s investors [Source: https://messari.io]\noptional arguments: -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) "},{"id":278,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/links/","title":"Links","parent":"Due Diligence","content":"usage: links [-h] [--export EXPORT]\nDisplay asset\u0026rsquo;s links [Source: https://messari.io]\noptional arguments: -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) "},{"id":279,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/market/","title":"Market","parent":"Due Diligence","content":"usage: market [--export {csv,json,xlsx}] [-h] Market data for loaded coin. There you find metrics like: Market Cap, Supply, Circulating Supply, Price, Volume and many others.\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:41 (✨) /crypto/dd/ $ market Market Data ┌──────────────────────────────────────────┬─────────────────┐ │ Metric │ Value │ ├──────────────────────────────────────────┼─────────────────┤ │ Market Cap Rank │ 1.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Total Supply │ 21000000.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Max Supply │ 21000000.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Circulating Supply │ 18958987.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Price Change Percentage 24H │ 4.47 │ ├──────────────────────────────────────────┼─────────────────┤ │ Price Change Percentage 7D │ 0.82 │ ├──────────────────────────────────────────┼─────────────────┤ │ Price Change Percentage 30D │ 2.41 │ ├──────────────────────────────────────────┼─────────────────┤ │ Price Change Percentage 60D │ -7.18 │ ├──────────────────────────────────────────┼─────────────────┤ │ Price Change Percentage 1Y │ -8.93 │ ├──────────────────────────────────────────┼─────────────────┤ │ Market Cap Change 24H │ 39455964995.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Market Cap Btc │ 18958987.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Market Cap Eth │ 270479740.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Market Cap Usd │ 839296434756.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Fully Diluted Valuation Btc │ 21000000.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Fully Diluted Valuation Eth │ 299597998.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Fully Diluted Valuation Usd │ 929650151133.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Total Volume Btc │ 470419.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Total Volume Eth │ 6711079.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Total Volume Usd │ 20824423212.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ High 24H Btc │ 1.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ High 24H Eth │ 14.66 │ ├──────────────────────────────────────────┼─────────────────┤ │ High 24H Usd │ 44410.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Low 24H Btc │ 1.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Low 24H Eth │ 14.23 │ ├──────────────────────────────────────────┼─────────────────┤ │ Low 24H Usd │ 42026.00 │ ├──────────────────────────────────────────┼─────────────────┤ │ Circulating Supply To Total Supply Ratio │ 0.90 │ └──────────────────────────────────────────┴─────────────────┘ "},{"id":280,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/mcapdom/","title":"Mcapdom","parent":"Due Diligence","content":"usage: mcapdom [-i {5m,15m,30m,1h,1d,1w}] [-s START] [-end END] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Display asset\u0026rsquo;s percentage share of total crypto circulating market cap [Source: https://messari.io]\noptional arguments: -i {5m,15m,30m,1h,1d,1w}, --interval {5m,15m,30m,1h,1d,1w} Frequency interval. Default: 1d (default: 1d) -s START, --start START Initial date. Default: A year ago (default: 2021-03-14) -end END, --end END End date. Default: Today (default: 2022-03-14) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":281,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/mkt/","title":"Mkt","parent":"Due Diligence","content":"usage: mkt [--vs {BTC,ETH,USD,EUR,PLN,KRW,GBP,CAD,JPY,RUB,TRY,NZD,AUD,CHF,UAH,HKD,SGD,NGN,PHP,MXN,BRL,THB,CLP,CNY,CZK,DKK,HUF,IDR,ILS,INR,MYR,NOK,PKR,SEK,TWD,ZAR,VND,BOB,COP,PEN,ARS,ISK}] [-l N] [-s {pct_volume_share,exchange,pair,trust_score,volume,price}] [--descend] [-u] [--export {csv,json,xlsx}] [-h] Get all markets found for given coin. You can display only N number of markets with \u0026ndash;limit parameter. You can sort data by pct_volume_share, exchange, pair, trust_score, volume, price \u0026ndash;sort parameter and also with \u0026ndash;descend flag to sort descending. You can use additional flag \u0026ndash;urls to see urls for each market Displays: exchange, pair, trust_score, volume, price, pct_volume_share,\noptional arguments: --vs {BTC,ETH,USD,EUR,PLN,KRW,GBP,CAD,JPY,RUB,TRY,NZD,AUD,CHF,UAH,HKD,SGD,NGN,PHP,MXN,BRL,THB,CLP,CNY,CZK,DKK,HUF,IDR,ILS,INR,MYR,NOK,PKR,SEK,TWD,ZAR,VND,BOB,COP,PEN,ARS,ISK} Quoted currency. Default USD (default: USD) -t TOP, --top TOP Limit of records (default: 20) -s {pct_volume_share,exchange,pair,trust_score,volume,price}, --sort {pct_volume_share,exchange,pair,trust_score,volume,price} Sort by given column. Default: pct_volume_share (default: pct_volume_share) --descend Flag to sort in descending order (lowest first) (default: False) -u, --urls Flag to show urls. If you will use that flag you will see only: exchange, pair, trust_score, market_url columns (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:41 (✨) /crypto/dd/ $ mkt All Markets ┌─────────────────────┬──────────┬─────────────┬──────────────────┬───────────┬────────────────┐ │ exchange │ pair │ trust_score │ pct_volume_share │ usd_price │ usd_volume │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ QB │ BTC/USDT │ low │ 76.66 │ 44335.56 │ 83125013156.79 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Bitenium │ BTC/USDT │ no_data │ 1.70 │ 44337.16 │ 1840286891.89 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Binance │ BTC/USDT │ high │ 1.69 │ 44340.62 │ 1829582324.62 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Crypto.com Exchange │ BTC/USDT │ low │ 1.41 │ 44329.00 │ 1524907447.06 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Indoex │ BTC/USD │ no_data │ 0.71 │ 44257.37 │ 767372786.82 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Coinbase │ BTC/USD │ high │ 0.65 │ 44305.95 │ 700692544.59 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Gleec BTC Exchange │ BTC/USDT │ no_data │ 0.63 │ 44353.43 │ 681039760.57 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ HitBTC │ BTC/USDT │ high │ 0.63 │ 44351.01 │ 681002641.50 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Bequant │ BTC/USDT │ low │ 0.63 │ 44331.91 │ 679750799.42 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ FMFW.io │ BTC/USD │ low │ 0.63 │ 44205.77 │ 678518719.32 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Binance │ BTC/BUSD │ high │ 0.53 │ 44309.66 │ 572365752.88 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ FTX (Spot) │ BTC/USD │ medium │ 0.45 │ 44209.00 │ 492815904.21 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Huobi │ BTC/USDT │ low │ 0.44 │ 44340.66 │ 479152896.05 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Indoex │ BTC/EUR │ no_data │ 0.42 │ 44250.15 │ 453236652.77 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Kucoin │ BTC/USDT │ low │ 0.40 │ 44341.16 │ 436318305.41 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Bitrue │ BTC/USDT │ low │ 0.37 │ 44337.33 │ 403067095.03 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Lbank │ BTC/USDT │ low │ 0.36 │ 44343.55 │ 385493474.14 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ BigONE │ BTC/USDT │ low │ 0.35 │ 44334.78 │ 377459785.89 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ Simex │ BTC/USD │ low │ 0.33 │ 44237.02 │ 355967120.52 │ ├─────────────────────┼──────────┼─────────────┼──────────────────┼───────────┼────────────────┤ │ DigiFinex │ BTC/USDT │ high │ 0.31 │ 44394.03 │ 339944185.15 │ └─────────────────────┴──────────┴─────────────┴──────────────────┴───────────┴────────────────┘ "},{"id":282,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/mt/","title":"Mt","parent":"Due Diligence","content":"usage: mt [--list] [-t {exch.bittrex.flow.net,...}] [-i {5m,15m,30m,1h,1d,1w}] [-s START] [-end END] [--include-paid] [-q QUERY [QUERY ...]] [-h] [--export EXPORT] [-l LIMIT]\nDisplay messari timeseries [Source: https://messari.io]\noptional arguments: --list Flag to show available timeseries (default: False) -t {exch.bittrex.flow.net,exch.sply.bitstamp,addr.bal.100k.ntv.cnt,exch.sply.binance,utxo.age.med,exch.kraken.flow.out.ntv,exch.flow.out.ntv,diff.avg,utxo.age.val.avg,twitter.followers,blk.cnt,hashrate.30d,sply.addr.bal.1m.ntv,addr.bal.1m.cnt,exch.huobi.flow.in.ntv,min.rev.usd,utxo.prof.cnt,blk.int.avg,exch.binance.flow.in,sply.act.4y,txn.tfr.val.adj.ntv,exch.sply.bittrex.ntv,sply.rvv.4y,blk.unc.rew,exch.sply,exch.sply.usd,exch.binance.flow.net.ntv,fees.ntv,sply.total.iss,hashrate,sply.act.30d,txn.tfr.erc721.cnt,exch.gemini.flow.net.ntv,exch.poloniex.flow.out,exch.sply.kraken.ntv,exch.flow.in.usd,addr.bal.10.cnt,exch.bitstamp.flow.net.ntv,exch.sply.binance.ntv,telegram.users,exch.huobi.flow.net,nvt.adj,addr.bal.1.ntv.cnt,exch.gemini.flow.in,cg.sply.circ,exch.sply.bitfinex.ntv,exch.bitmex.flow.in.ntv,exch.bittrex.flow.out,miner.1hop.sply.ntv,txn.tkn.cnt,addr.bal.1m.ntv.cnt,exch.bitstamp.flow.in.ntv,hash.rev.ntv,txn.tfr.val.ntv,utxo.cnt,addr.bal.0.01.ntv.cnt,exch.bitmex.flow.out.ntv,rvt.adj.90d.ma,sply.act.3y,sply.addr.bal.1k.ntv,sply.addr.bal.1.ntv,sply.rvv.5y,sply.shld,addr.bal.0.001.ntv.cnt,exch.bitfinex.flow.net,exch.poloniex.flow.in,exch.sply.bitmex,txn.tfr.avg.ntv,txn.gas,blk.hgt,exch.gemini.flow.out,exch.sply.bitfinex,sply.act.180d,sply.addr.bal.1m,txn.cnt,exch.binance.flow.in.ntv,exch.poloniex.flow.out.ntv,mcap.realized,sply.act.90d,exch.bitstamp.flow.in,exch.bittrex.flow.in,exch.poloniex.flow.in.ntv,exch.sply.huobi.ntv,exch.flow.out.usd,price,addr.bal.1k.ntv.cnt,addr.bal.100.ntv.cnt,exch.kraken.flow.net.ntv,txn.fee.med,sply.act.1y,txn.cont.call.succ.cnt,txn.tfr.erc20.cnt,addr.bal.10k.ntv.cnt,blk.size.bytes.avg,exch.binance.flow.net,exch.binance.flow.out,sply.rvv.180d,sply.rvv.7d,addr.cnt,exch.bittrex.flow.out.ntv,sply.addr.bal.100.ntv,sply.rvv.2y,sply.top.100,txn.cnt.sec,exch.bitfinex.flow.in,exch.bitfinex.flow.out.ntv,exch.sply.poloniex.ntv,sply.cont.usd,exch.bittrex.flow.net.ntv,exch.flow.out.ntv.incl,sply.addr.bal.0.001.ntv,txn.vol,txn.fee.avg,txn.fee.avg.ntv,real.vol,exch.poloniex.flow.net,exch.kraken.flow.in.ntv,txn.cont.call.cnt,exch.flow.out.usd.incl,exch.flow.in.ntv.incl,new.iss.ntv,fees.pct.rev,exch.gemini.flow.net,exch.bitstamp.flow.out,exch.gemini.flow.out.ntv,exch.kraken.flow.out,addr.act.sent.cnt,exch.bittrex.flow.in.ntv,exch.sply.gemini,sply.act.2y,sply.act.7d,sply.top.1pct,txn.cont.cnt,sply.liquid,addr.bal.100k.cnt,exch.bitfinex.flow.net.ntv,exch.huobi.flow.out,txn.fee.med.ntv,blk.unc.rew.ntv,hashrate.rev,sply.addr.bal.100,sply.addr.bal.100k.ntv,sply.rvv.30d,txn.tsfr.cnt,mcap.dom,act.addr.cnt,exch.binance.flow.out.ntv,sply.act.pct.1y,blk.unc.rew.pct,exch.bitstamp.flow.out.ntv,exch.sply.bittrex,sply.total.iss.ntv,addr.bal.0.1.ntv.cnt,sply.addr.bal.0.1.ntv,sply.top.10pct,exch.sply.bitstamp.ntv,nvt.adj.90d.ma,txn.cont.creat.cnt,exch.huobi.flow.in,exch.flow.in.ntv,sply.act.evr,sply.addr.bal.100k,txn.erc721.cnt,exch.bitmex.flow.in,hashrate.rev.ntv,sply.addr.bal.10.ntv,sply.rvv.90d,mcap.out,miner.rev.total,sply.addr.bal.1k,exch.flow.in.usd.incl,sply.act.5y,txn.gas.limit.avg,mcap.circ,daily.shp,addr.bal.10m.cnt,blk.size.byte,miner.sply,reddit.active.users,exch.poloniex.flow.net.ntv,sply.rvv.1y,exch.bitmex.flow.net,exch.bitmex.flow.net.ntv,exch.bitfinex.flow.out,exch.sply.poloniex,txn.gas.limit,txn.tfr.val.med,addr.bal.1k.cnt,fees,sply.addr.bal.10k.ntv,sply.utxo.prof,addr.bal.10.ntv.cnt,exch.kraken.flow.net,blk.gas.limit.avg,iss.rate,txn.cont.dest.cnt,txn.tfr.val.med.ntv,sply.circ,new.iss.usd,miner.sply.ntv,sply.addr.bal.10,blk.wght.total,sply.addr.bal.1,txn.tsfr.val.avg,utxo.loss.cnt,rvt.adj,exch.bitstamp.flow.net,sply.out,txn.erc20.cnt,utxo.age.avg,reddit.subscribers,exch.huobi.flow.net.ntv,iss.rate.day,exch.sply.gemini.ntv,hash.rev,sply.act.1d,miner.1hop.sply,sply.act.10y,sply.rvv.3y,addr.bal.10k.cnt,exch.bitfinex.flow.in.ntv,exch.kraken.flow.in,exch.huobi.flow.out.ntv,txn.tsfr.val.adj,exch.sply.huobi,addr.bal.1.cnt,min.rev.ntv,sply.addr.bal.10k,addr.act.rcv.cnt,exch.sply.kraken,sply.addr.bal.10m,blk.wght.avg,sply.utxo.loss,addr.bal.100.cnt,exch.sply.bitmex.ntv,txn.gas.avg,sply.addr.bal.0.01.ntv,sply.cont.ntv,daily.vol,blk.unc.cnt,exch.gemini.flow.in.ntv,exch.bitmex.flow.out}, --timeseries {exch.bittrex.flow.net,exch.sply.bitstamp,addr.bal.100k.ntv.cnt,exch.sply.binance,utxo.age.med,exch.kraken.flow.out.ntv,exch.flow.out.ntv,diff.avg,utxo.age.val.avg,twitter.followers,blk.cnt,hashrate.30d,sply.addr.bal.1m.ntv,addr.bal.1m.cnt,exch.huobi.flow.in.ntv,min.rev.usd,utxo.prof.cnt,blk.int.avg,exch.binance.flow.in,sply.act.4y,txn.tfr.val.adj.ntv,exch.sply.bittrex.ntv,sply.rvv.4y,blk.unc.rew,exch.sply,exch.sply.usd,exch.binance.flow.net.ntv,fees.ntv,sply.total.iss,hashrate,sply.act.30d,txn.tfr.erc721.cnt,exch.gemini.flow.net.ntv,exch.poloniex.flow.out,exch.sply.kraken.ntv,exch.flow.in.usd,addr.bal.10.cnt,exch.bitstamp.flow.net.ntv,exch.sply.binance.ntv,telegram.users,exch.huobi.flow.net,nvt.adj,addr.bal.1.ntv.cnt,exch.gemini.flow.in,cg.sply.circ,exch.sply.bitfinex.ntv,exch.bitmex.flow.in.ntv,exch.bittrex.flow.out,miner.1hop.sply.ntv,txn.tkn.cnt,addr.bal.1m.ntv.cnt,exch.bitstamp.flow.in.ntv,hash.rev.ntv,txn.tfr.val.ntv,utxo.cnt,addr.bal.0.01.ntv.cnt,exch.bitmex.flow.out.ntv,rvt.adj.90d.ma,sply.act.3y,sply.addr.bal.1k.ntv,sply.addr.bal.1.ntv,sply.rvv.5y,sply.shld,addr.bal.0.001.ntv.cnt,exch.bitfinex.flow.net,exch.poloniex.flow.in,exch.sply.bitmex,txn.tfr.avg.ntv,txn.gas,blk.hgt,exch.gemini.flow.out,exch.sply.bitfinex,sply.act.180d,sply.addr.bal.1m,txn.cnt,exch.binance.flow.in.ntv,exch.poloniex.flow.out.ntv,mcap.realized,sply.act.90d,exch.bitstamp.flow.in,exch.bittrex.flow.in,exch.poloniex.flow.in.ntv,exch.sply.huobi.ntv,exch.flow.out.usd,price,addr.bal.1k.ntv.cnt,addr.bal.100.ntv.cnt,exch.kraken.flow.net.ntv,txn.fee.med,sply.act.1y,txn.cont.call.succ.cnt,txn.tfr.erc20.cnt,addr.bal.10k.ntv.cnt,blk.size.bytes.avg,exch.binance.flow.net,exch.binance.flow.out,sply.rvv.180d,sply.rvv.7d,addr.cnt,exch.bittrex.flow.out.ntv,sply.addr.bal.100.ntv,sply.rvv.2y,sply.top.100,txn.cnt.sec,exch.bitfinex.flow.in,exch.bitfinex.flow.out.ntv,exch.sply.poloniex.ntv,sply.cont.usd,exch.bittrex.flow.net.ntv,exch.flow.out.ntv.incl,sply.addr.bal.0.001.ntv,txn.vol,txn.fee.avg,txn.fee.avg.ntv,real.vol,exch.poloniex.flow.net,exch.kraken.flow.in.ntv,txn.cont.call.cnt,exch.flow.out.usd.incl,exch.flow.in.ntv.incl,new.iss.ntv,fees.pct.rev,exch.gemini.flow.net,exch.bitstamp.flow.out,exch.gemini.flow.out.ntv,exch.kraken.flow.out,addr.act.sent.cnt,exch.bittrex.flow.in.ntv,exch.sply.gemini,sply.act.2y,sply.act.7d,sply.top.1pct,txn.cont.cnt,sply.liquid,addr.bal.100k.cnt,exch.bitfinex.flow.net.ntv,exch.huobi.flow.out,txn.fee.med.ntv,blk.unc.rew.ntv,hashrate.rev,sply.addr.bal.100,sply.addr.bal.100k.ntv,sply.rvv.30d,txn.tsfr.cnt,mcap.dom,act.addr.cnt,exch.binance.flow.out.ntv,sply.act.pct.1y,blk.unc.rew.pct,exch.bitstamp.flow.out.ntv,exch.sply.bittrex,sply.total.iss.ntv,addr.bal.0.1.ntv.cnt,sply.addr.bal.0.1.ntv,sply.top.10pct,exch.sply.bitstamp.ntv,nvt.adj.90d.ma,txn.cont.creat.cnt,exch.huobi.flow.in,exch.flow.in.ntv,sply.act.evr,sply.addr.bal.100k,txn.erc721.cnt,exch.bitmex.flow.in,hashrate.rev.ntv,sply.addr.bal.10.ntv,sply.rvv.90d,mcap.out,miner.rev.total,sply.addr.bal.1k,exch.flow.in.usd.incl,sply.act.5y,txn.gas.limit.avg,mcap.circ,daily.shp,addr.bal.10m.cnt,blk.size.byte,miner.sply,reddit.active.users,exch.poloniex.flow.net.ntv,sply.rvv.1y,exch.bitmex.flow.net,exch.bitmex.flow.net.ntv,exch.bitfinex.flow.out,exch.sply.poloniex,txn.gas.limit,txn.tfr.val.med,addr.bal.1k.cnt,fees,sply.addr.bal.10k.ntv,sply.utxo.prof,addr.bal.10.ntv.cnt,exch.kraken.flow.net,blk.gas.limit.avg,iss.rate,txn.cont.dest.cnt,txn.tfr.val.med.ntv,sply.circ,new.iss.usd,miner.sply.ntv,sply.addr.bal.10,blk.wght.total,sply.addr.bal.1,txn.tsfr.val.avg,utxo.loss.cnt,rvt.adj,exch.bitstamp.flow.net,sply.out,txn.erc20.cnt,utxo.age.avg,reddit.subscribers,exch.huobi.flow.net.ntv,iss.rate.day,exch.sply.gemini.ntv,hash.rev,sply.act.1d,miner.1hop.sply,sply.act.10y,sply.rvv.3y,addr.bal.10k.cnt,exch.bitfinex.flow.in.ntv,exch.kraken.flow.in,exch.huobi.flow.out.ntv,txn.tsfr.val.adj,exch.sply.huobi,addr.bal.1.cnt,min.rev.ntv,sply.addr.bal.10k,addr.act.rcv.cnt,exch.sply.kraken,sply.addr.bal.10m,blk.wght.avg,sply.utxo.loss,addr.bal.100.cnt,exch.sply.bitmex.ntv,txn.gas.avg,sply.addr.bal.0.01.ntv,sply.cont.ntv,daily.vol,blk.unc.cnt,exch.gemini.flow.in.ntv,exch.bitmex.flow.out} Messari timeseries id. Default: txn.vol (default: txn.vol) -i {5m,15m,30m,1h,1d,1w}, --interval {5m,15m,30m,1h,1d,1w} Frequency interval. Default: 1d (default: 1d) -s START, --start START Initial date. Default: A year ago (default: 2021-04-26) -end END, --end END End date. Default: Today (default: 2022-04-26) --include-paid Flag to show both paid and free sources (default: False) -q QUERY [QUERY ...], --query QUERY [QUERY ...] Query to search across all messari timeseries (default: ) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10)``` "},{"id":283,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/news/","title":"News","parent":"Due Diligence","content":"usage: news [-l LIMIT] [-k {news,media}] [-f {rising,hot,bullish,bearish,important,saved,lol}] [-r {en,de,es,fr,nl,it,pt,ru}] [-s {published_at,domain,title,negative_votes,positive_votes}] [--descend] [-u] [-h] [--export EXPORT] Display most recent news on the given coin from CryptoPanic aggregator platform. [Source: https://cryptopanic.com/]\noptional arguments: -l LIMIT, --limit LIMIT display N number records (default: 10) -k {news,media}, --kind {news,media} Filter by category of news. Available values: news or media. (default: news) -f {rising,hot,bullish,bearish,important,saved,lol}, --filter {rising,hot,bullish,bearish,important,saved,lol} Filter by kind of news. One from list: rising|hot|bullish|bearish|important|saved|lol (default: None) -r {en,de,es,fr,nl,it,pt,ru}, --region {en,de,es,fr,nl,it,pt,ru} Filter news by regions. Available regions are: en (English), de (Deutsch), nl (Dutch), es (Español), fr (Français), it (Italiano), pt (Português), ru (Русский) (default: en) -s {published_at,domain,title,negative_votes,positive_votes}, --sort {published_at,domain,title,negative_votes,positive_votes} Sort by given column. Default: published_at (default: published_at) --descend Flag to sort in descending order (lowest first) (default: True) -u, --urls Flag to disable urls. If you will use the flag you will hide the column with urls (default: True) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) Example:\n2022 Apr 25, 09:49 (🦋) /crypto/dd/ $ news Most Recent News ┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ┃ published_at ┃ title ┃ link ┃ ┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ 2022-04-24 │ Major German Bank Applies For Crypto │ https://cryptopanic.com/news/15005355/Maj… │ │ │ Custody License │ │ ├──────────────┼─────────────────────────────────────────────┼────────────────────────────────────────────┤ │ 2022-04-24 │ These Two Companies Will Let You Buy a │ https://cryptopanic.com/news/15005488/The… │ │ │ House with Crypto │ │ ├──────────────┼─────────────────────────────────────────────┼──────────────────────────────────────────── "},{"id":284,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/nonzero/","title":"Nonzero","parent":"Due Diligence","content":"usage: non-zero [-s INITIAL_DATE] [-u END_DATE] [-i {1h, 24h, 10m, 1w, 1month}] [--export {csv,json,xlsx}] [-h] Display addresses with non-zero balance on a certain blockchain over time [Source: https://glassnode.org]\nNumber of unique addresses holding a positive amount of coins.\nSupported assets: BTC, ETH, LTC, AAVE, ABT, AMPL, ANT, ARMOR, BADGER, BAL, BAND, BAT, BIX, BNT, BOND, BRD, BUSD, BZRX, CELR, CHSB, CND, COMP, CREAM, CRO, CRV, CVC, CVP, DAI, DDX, DENT, DGX, DHT, DMG, DODO, DOUGH, DRGN, ELF, ENG, ENJ, EURS, FET, FTT, FUN, GNO, GUSD, HEGIC, HOT, HPT, HT, HUSD, INDEX, KCS, LAMB, LBA, LDO, LEO, LINK, LOOM, LRC, MANA, MATIC, MCB, MCO, MFT, MIR, MKR, MLN, MTA, MTL, MX, NDX, NEXO, NFTX, NMR, Nsure, OCEAN, OKB, OMG, PAX, PAY, PERP, PICKLE, PNK, PNT, POLY, POWR, PPT, QASH, QKC, QNT, RDN, REN, REP, RLC, ROOK, RPL, RSR, SAI, SAN, SNT, SNX, STAKE, STORJ, sUSD, SUSHI, TEL, TOP, UBT, UMA, UNI, USDC, USDK, USDT, UTK, VERI, WaBi, WAX, WBTC, WETH, wNMX, WTC, YAM, YFI, ZRX\narguments: -s DATE --since DATE Start date (default: 2 years before, e.g., 2019-10-22) -u DATE --until DATE End date (default: year before, e.g., 2020-10-22) -i INTERV --interval INTERV Interval frequency (default: 24h) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":285,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/oi/","title":"Oi","parent":"Due Diligence","content":"usage: oi [-i {0, 1, 2, 4}] [--export {csv,json,xlsx}] [-h] Display the open interest per exchange for a certain cryptocurrency. [Source: https://bybt.gitbook.io] Crypto must be loaded (e.g., load btc) before running this feature.\nThe total Bitcoin futures open interest across cryptocurrency exchanges, where open interest is calculated as the estimated notional value of all open futures positions, or the aggregate dollar value of outstanding contract specified BTC deliverables. Includes the largest exchanges with trustworthy reporting of exchange volume metrics.\nInterval:\n ALL: 0 1H: 2 4H: 1 12H: 4 optional arguments: -i INTERV --interval INTERV Interval frequency (default: 0) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":286,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/pi/","title":"Pi","parent":"Due Diligence","content":"usage: pi [-h] [--export EXPORT]\nDisplay asset\u0026rsquo;s project info [Source: https://messari.io]\noptional arguments: -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) "},{"id":287,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/ps/","title":"Ps","parent":"Due Diligence","content":"usage: ps [--vs {BTC,ETH,USD,EUR,PLN,KRW,GBP,CAD,JPY,RUB,TRY,NZD,AUD,CHF,UAH,HKD,SGD,NGN,PHP,MXN,BRL,THB,CLP,CNY,CZK,DKK,HUF,IDR,ILS,INR,MYR,NOK,PKR,SEK,TWD,ZAR,VND,BOB,COP,PEN,ARS,ISK}] [--export {csv,json,xlsx}] [-h] Get price and supply related metrics for given coin.\noptional arguments: --vs {BTC,ETH,USD,EUR,PLN,KRW,GBP,CAD,JPY,RUB,TRY,NZD,AUD,CHF,UAH,HKD,SGD,NGN,PHP,MXN,BRL,THB,CLP,CNY,CZK,DKK,HUF,IDR,ILS,INR,MYR,NOK,PKR,SEK,TWD,ZAR,VND,BOB,COP,PEN,ARS,ISK} Quoted currency. Default USD (default: USD) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 07:46 (✨) /crypto/dd/ $ ps Coin Information ┌────────────────────────────┬─────────────────────┐ │ Metric │ Value │ ├────────────────────────────┼─────────────────────┤ │ id │ btc-bitcoin │ ├────────────────────────────┼─────────────────────┤ │ name │ Bitcoin │ ├────────────────────────────┼─────────────────────┤ │ symbol │ BTC │ ├────────────────────────────┼─────────────────────┤ │ rank │ 1 │ ├────────────────────────────┼─────────────────────┤ │ circulating_supply │ 18.959 M │ ├────────────────────────────┼─────────────────────┤ │ total_supply │ 18.959 M │ ├────────────────────────────┼─────────────────────┤ │ max_supply │ 21 M │ ├────────────────────────────┼─────────────────────┤ │ beta_value │ 0.896 │ ├────────────────────────────┼─────────────────────┤ │ first_data_at │ 2010-07-17 00:00:00 │ ├────────────────────────────┼─────────────────────┤ │ last_updated │ 2022-02-15 12:43:09 │ ├────────────────────────────┼─────────────────────┤ │ usd_price │ 44.331 K │ ├────────────────────────────┼─────────────────────┤ │ usd_volume_24h │ 108.460 B │ ├────────────────────────────┼─────────────────────┤ │ usd_volume_24h_change_24h │ 122.920 │ ├────────────────────────────┼─────────────────────┤ │ usd_market_cap │ 840.463 B │ ├────────────────────────────┼─────────────────────┤ │ usd_market_cap_change_24h │ 4.540 │ ├────────────────────────────┼─────────────────────┤ │ usd_percent_change_15m │ 0.020 │ ├────────────────────────────┼─────────────────────┤ │ usd_percent_change_30m │ -0.200 │ ├────────────────────────────┼─────────────────────┤ │ usd_percent_change_1h │ -0.100 │ ├────────────────────────────┼─────────────────────┤ │ usd_percent_change_6h │ 1.450 │ ├────────────────────────────┼─────────────────────┤ │ usd_percent_change_12h │ 3.980 │ ├────────────────────────────┼─────────────────────┤ │ usd_percent_change_24h │ 4.530 │ ├────────────────────────────┼─────────────────────┤ │ usd_percent_change_7d │ 2.010 │ ├────────────────────────────┼─────────────────────┤ │ usd_percent_change_30d │ 2.860 │ ├────────────────────────────┼─────────────────────┤ │ usd_percent_change_1y │ -6.670 │ ├────────────────────────────┼─────────────────────┤ │ usd_ath_price │ 68.692 K │ ├────────────────────────────┼─────────────────────┤ │ usd_ath_date │ 2021-11-10 16:51:15 │ ├────────────────────────────┼─────────────────────┤ │ usd_percent_from_price_ath │ -35.370 │ └────────────────────────────┴─────────────────────┘ "},{"id":288,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/rm/","title":"Rm","parent":"Due Diligence","content":"usage: rm [--chart] [-h] [--export EXPORT]\nDisplay asset\u0026rsquo;s roadmap [Source: https://messari.io]\noptional arguments: --chart Flag to show chart with coin price and roadmap dates (default: False) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) "},{"id":289,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/score/","title":"Score","parent":"Due Diligence","content":"usage: score [--export {csv,json,xlsx}] [-h] In this view you can find different kind of scores for loaded coin. Those scores represents different rankings, sentiment metrics, some user stats and others. You will see CoinGecko scores, Developer Scores, Community Scores, Sentiment, Reddit scores and many others.\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:47 (✨) /crypto/dd/ $ score Different Scores for Loaded Coin ┌─────────────────────────────────┬────────────┐ │ Metric │ Value │ ├─────────────────────────────────┼────────────┤ │ Coingecko Rank │ 1.00 │ ├─────────────────────────────────┼────────────┤ │ Coingecko Score │ 80.77 │ ├─────────────────────────────────┼────────────┤ │ Developer Score │ 98.91 │ ├─────────────────────────────────┼────────────┤ │ Community Score │ 72.62 │ ├─────────────────────────────────┼────────────┤ │ Liquidity Score │ 100.25 │ ├─────────────────────────────────┼────────────┤ │ Sentiment Votes Up Percentage │ 83.17 │ ├─────────────────────────────────┼────────────┤ │ Sentiment Votes Down Percentage │ 16.83 │ ├─────────────────────────────────┼────────────┤ │ Public Interest Score │ 0.34 │ ├─────────────────────────────────┼────────────┤ │ Facebook Likes │ │ ├─────────────────────────────────┼────────────┤ │ Twitter Followers │ 4669906.00 │ ├─────────────────────────────────┼────────────┤ │ Reddit Average Posts 48H │ 7.46 │ ├─────────────────────────────────┼────────────┤ │ Reddit Average Comments 48H │ 1298.00 │ ├─────────────────────────────────┼────────────┤ │ Reddit Subscribers │ 3908131.00 │ ├─────────────────────────────────┼────────────┤ │ Reddit Accounts Active 48H │ 5154.00 │ ├─────────────────────────────────┼────────────┤ │ Telegram Channel User Count │ │ ├─────────────────────────────────┼────────────┤ │ Alexa Rank │ 9440.00 │ ├─────────────────────────────────┼────────────┤ │ Bing Matches │ │ └─────────────────────────────────┴────────────┘ "},{"id":290,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/social/","title":"Social","parent":"Due Diligence","content":"usage: social [--export {csv,json,xlsx}] [-h] Shows social media corresponding to loaded coin. You can find there name of telegram channel, urls to twitter, reddit, bitcointalk, facebook and discord.\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:47 (✨) /crypto/dd/ $ social Social Media for Loaded Coin ┌───────────┬───────────────────────────────────┐ │ Metric │ Value │ ├───────────┼───────────────────────────────────┤ │ Telegram │ │ ├───────────┼───────────────────────────────────┤ │ Twitter │ https://twitter.com/bitcoin │ ├───────────┼───────────────────────────────────┤ │ Subreddit │ https://www.reddit.com/r/Bitcoin/ │ ├───────────┼───────────────────────────────────┤ │ Facebook │ bitcoins │ └───────────┴───────────────────────────────────┘ "},{"id":291,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/stats/","title":"Stats","parent":"Due Diligence","content":"usage: stats [--vs {UST,EUR,USDC,USDT,GBP,USD}] [--export {csv,json,xlsx}] [-h] Display coin stats\noptional arguments: --vs {UST,EUR,USDC,USDT,GBP,USD} Quote currency (what to view coin vs) (default: USDT) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:47 (✨) /crypto/dd/ $ stats 24 hr Product Stats ┌──────────────┬────────────────┐ │ Metric │ Value │ ├──────────────┼────────────────┤ │ open │ 42551.99 │ ├──────────────┼────────────────┤ │ high │ 44428.47 │ ├──────────────┼────────────────┤ │ low │ 41800 │ ├──────────────┼────────────────┤ │ volume │ 743.03129474 │ ├──────────────┼────────────────┤ │ last │ 44183.84 │ ├──────────────┼────────────────┤ │ volume_30day │ 22665.06104665 │ └──────────────┴────────────────┘ "},{"id":292,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/team/","title":"Team","parent":"Due Diligence","content":"usage: team [-h] [--export EXPORT]\nDisplay asset\u0026rsquo;s team [Source: https://messari.io]\noptional arguments: -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) "},{"id":293,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/tk/","title":"Tk","parent":"Due Diligence","content":"usage: tk [-h] [--export EXPORT\nDisplay asset\u0026rsquo;s tokenomics [Source: https://messari.io]\noptional arguments: -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) "},{"id":294,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/trades/","title":"Trades","parent":"Due Diligence","content":"usage: trades [--vs {EUR,USDC,GBP,USD,USDT,UST}] [--side {all,buy,sell}] [-t TOP] [--export {csv,json,xlsx}] [-h] Show last trades on Coinbase\noptional arguments: --vs {EUR,USDC,GBP,USD,USDT,UST} Quote currency (what to view coin vs) (default: USDT) --side {all,buy,sell} Side of trade: buy, sell, all (default: all) -t TOP, --top TOP Limit of records (default: 15) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:48 (✨) /crypto/dd/ $ trades ┌─────────────────────────────┬────────────────┬────────────┬──────┐ │ time │ price │ size │ side │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:48:49.429769Z │ 44210.63000000 │ 0.04045752 │ sell │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:48:49.429769Z │ 44207.34000000 │ 0.02260937 │ sell │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:48:31.30732Z │ 44184.04000000 │ 0.00238891 │ buy │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:48:25.51977Z │ 44179.84000000 │ 0.00000216 │ sell │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:48:24.96678Z │ 44179.84000000 │ 0.02262000 │ sell │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:47:45.136476Z │ 44183.84000000 │ 0.00046768 │ buy │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:47:40.197541Z │ 44198.63000000 │ 0.00000891 │ buy │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:47:36.791631Z │ 44198.63000000 │ 0.00011859 │ buy │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:47:36.791631Z │ 44198.63000000 │ 0.00074141 │ buy │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:47:28.468736Z │ 44201.98000000 │ 0.00013180 │ buy │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:47:19.90752Z │ 44209.80000000 │ 0.05338614 │ sell │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:47:19.90752Z │ 44207.83000000 │ 0.02260811 │ sell │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:47:14.403975Z │ 44206.47000000 │ 0.00027010 │ sell │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:47:13.700917Z │ 44206.47000000 │ 0.00027077 │ sell │ ├─────────────────────────────┼────────────────┼────────────┼──────┤ │ 2022-02-15T12:47:12.41306Z │ 44211.76000000 │ 0.25000000 │ buy │ └─────────────────────────────┴────────────────┴────────────┴──────┘ "},{"id":295,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/twitter/","title":"Twitter","parent":"Due Diligence","content":"usage: twitter [-l N] [-s {date,user_name,status,retweet_count,like_count}] [--descend] [--export {csv,json,xlsx}] [-h] Show last 10 tweets for given coin. You can display only N number of tweets with \u0026ndash;limit parameter. You can sort data by date, user_name, status, retweet_count, like_count \u0026ndash;sort parameter and also with \u0026ndash;descend flag to sort descending. Displays: date, user_name, status, retweet_count, like_count\noptional arguments: -l N, --limit N Limit of records (default: 10) -s {date,user_name,status,retweet_count,like_count}, --sort {date,user_name,status,retweet_count,like_count} Sort by given column. Default: date (default: date) --descend Flag to sort in descending order (lowest first) (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:49 (✨) /crypto/dd/ $ twitter Twitter Timeline ┌────────────┬────────────────┬──────────────────────────────────────────────────────────────────────────────────┬───────────────┬────────────┐ │ date │ user_name │ status │ retweet_count │ like_count │ ├────────────┼────────────────┼──────────────────────────────────────────────────────────────────────────────────┼───────────────┼────────────┤ │ 2021-10-27 │ bitcoincoreorg │ Bitcoin Core 0.20.2 (backports) was released It is available from │ 67 │ 153 │ │ 10:55:48 │ │ https://t.co/ea0sMBjrp2 Release mail: https://t.co/KahVJFcZ9d │ │ │ ├────────────┼────────────────┼──────────────────────────────────────────────────────────────────────────────────┼───────────────┼────────────┤ │ 2021-09-13 │ bitcoincoreorg │ Bitcoin Core 22.0 was released! It is available from https://t.co/WpMuMaejz1 │ 366 │ 1065 │ │ 22:01:09 │ │ Release mail: https://t.co/ZvZKXZ0iLD │ │ │ ├────────────┼────────────────┼──────────────────────────────────────────────────────────────────────────────────┼───────────────┼────────────┤ │ 2021-07-20 │ LukeDashjr │ PSA: @BitcoinCoreOrg (#Bitcoin Core) is NOT soliciting or performing closed │ 88 │ 0 │ │ 21:51:31 │ │ testing of any beta or other software.If you get an email inviting you, be │ │ │ │ │ │ aware it is spam and their \u0026quot;testing version\u0026quot; is almost certainly malware.Note: │ │ │ │ │ │ the \u0026quot;From\u0026quot; on emails is NOT secure and faked. │ │ │ ├────────────┼────────────────┼──────────────────────────────────────────────────────────────────────────────────┼───────────────┼────────────┤ │ 2021-07-03 │ bitcoincoreorg │ A reminder that Bitcoin Core is available for download worldwide through │ 192 │ 577 │ │ 08:25:13 │ │ https://t.co/WpMuMaejz1 . It is also available through BitTorrent. │ │ │ ├────────────┼────────────────┼──────────────────────────────────────────────────────────────────────────────────┼───────────────┼────────────┤ │ 2021-06-03 │ pwuille │ In version 0.21 @bitcoincoreorg added support for Tor V3: │ 73 │ 0 │ │ 17:16:25 │ │ https://t.co/yIUqYjqQnGFor the next major release we're dropping V2 support. │ │ │ │ │ │ Their usability will rapidly diminish the next few months, as they're deprecated │ │ │ │ │ │ and @torproject will soon remove support. https://t.co/XEUbSnVmCe │ │ │ ├────────────┼────────────────┼──────────────────────────────────────────────────────────────────────────────────┼───────────────┼────────────┤ │ 2021-05-02 │ bitcoincoreorg │ Bitcoin Core 0.21.1 was released! It is available from https://t.co/WpMuMaejz1 │ 159 │ 583 │ │ 07:21:00 │ │ Release mail: https://t.co/TuFxSkQABE │ │ │ ├────────────┼────────────────┼──────────────────────────────────────────────────────────────────────────────────┼───────────────┼────────────┤ │ 2021-04-19 │ bitcoincoreorg │ Bitcoin Core 0.21.1 release candidate 1 available https://t.co/BSQjJiRuHw │ 59 │ 222 │ │ 04:59:28 │ │ https://t.co/KQMiZFHnZy │ │ │ ├────────────┼────────────────┼──────────────────────────────────────────────────────────────────────────────────┼───────────────┼────────────┤ │ 2021-01-19 │ achow101 │ I'm launching a Bitcoin Core usage survey: https://t.co/O3mbn4vnCPThe survey │ 106 │ 0 │ │ 20:59:02 │ │ will help us learn about who, how, and why people use Bitcoin Core so that we │ │ │ │ │ │ can improve it in the future. If you have any feedback about the software you │ │ │ │ │ │ want to leave, this is the place to do it. │ │ │ ├────────────┼────────────────┼──────────────────────────────────────────────────────────────────────────────────┼───────────────┼────────────┤ │ 2021-01-14 │ bitcoincoreorg │ Bitcoin Core 0.21.0 was released It is available from https://t.co/jnWN8LRX75 │ 283 │ 907 │ │ 14:09:31 │ │ Release mail: https://t.co/6dFNUj3K4d │ │ │ ├────────────┼────────────────┼──────────────────────────────────────────────────────────────────────────────────┼───────────────┼────────────┤ │ 2020-08-01 │ bitcoincoreorg │ Bitcoin Core 0.20.1 was released It is available from https://t.co/Uy9NJ11mih │ 216 │ 544 │ │ 13:15:33 │ │ (main website update pending) Release mail: https://t.co/95MXgRvN7Z │ │ │ └────────────┴────────────────┴──────────────────────────────────────────────────────────────────────────────────┴───────────────┴────────────┘ "},{"id":296,"href":"/OpenBBTerminal/terminal/cryptocurrency/due_diligence/web/","title":"Web","parent":"Due Diligence","content":"usage: web [--export {csv,json,xlsx}] [-h] Websites found for given Coin. You can find there urls to homepage, forum, announcement site and others.\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:49 (✨) /crypto/dd/ $ web Websites for Loaded Coin ┌────────────────────┬──────────────────────────┐ │ Metric │ Value │ ├────────────────────┼──────────────────────────┤ │ Homepage │ http://www.bitcoin.org │ ├────────────────────┼──────────────────────────┤ │ Official Forum Url │ https://bitcointalk.org/ │ ├────────────────────┼──────────────────────────┤ │ Announcement Url │ │ └────────────────────┴──────────────────────────┘ "},{"id":297,"href":"/OpenBBTerminal/terminal/cryptocurrency/find/","title":"Find","parent":"Cryptocurrency","content":"usage: find [-c COIN] [-k {id,symbol,name}] [-t TOP] [--source {cp,cg,bin,cb}] [--export {csv,json,xlsx}] [-h] Find similar coin by coin name,symbol or id. If you don\u0026rsquo;t remember exact name or id of the Coin at CoinGecko, Binance, Coinbase or CoinPaprika you can use this command to display coins with similar name, symbol or id to your search query. Example of usage: coin name is something like \u0026ldquo;polka\u0026rdquo;. So I can try: find -c polka -k name -t 25 It will search for coin that has similar name to polka and display top 25 matches. -c, \u0026ndash;coin stands for coin\n you provide here your search query -k, \u0026ndash;key it\u0026rsquo;s a searching key. You can search by symbol, id or name of coin -t, \u0026ndash;top it displays top N number of records. optional arguments: -c COIN, --coin COIN Symbol Name or Id of Coin (default: None) -k {id,symbol,name}, --key {id,symbol,name} Specify by which column you would like to search: symbol, name, id (default: symbol) -t TOP, --top TOP Limit of records (default: 10) --source {cp,cg,bin,cb} Source of data. (default: cg) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) usage: coins [-c COIN] [-s SKIP] [-l N] [--source SOURCE] [--export {csv,json,xlsx}] [-h] Shows list of coins available on CoinGecko, CoinPaprika and Binance.If you provide name of coin then in result you will see ids of coins with best match for all mentioned services. If you provide ALL keyword in your search query, then all coins will be displayed. To move over coins you can use pagination mechanism with skip, top params. E.g. coins ALL \u0026ndash;skip 100 \u0026ndash;limit 30 then all coins from 100 to 130 will be displayed. By default skip = 0, limit = 10. If you won\u0026rsquo;t provide source of the data everything will be displayed (CoinGecko, CoinPaprika, Binance). If you want to search only in given source then use \u0026ndash;source flag. E.g. if you want to find coin with name uniswap on CoinPaprika then use: coins uniswap \u0026ndash;source cp \u0026ndash;limit 10\noptional arguments: -c COIN, --coin COIN Coin you search for (default: None) -s SKIP, --skip SKIP Skip n of records (default: 0) -l N, --limit N display N records (default: 10) --source SOURCE Source of data. (default: None) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:52 (✨) /crypto/ $ find -c btc Similar Coins ┌───────┬────────┬──────────────────────────────┬──────────────────────────────┐ │ index │ symbol │ id │ name │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 0 │ btc │ bitcoin │ Bitcoin │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 1 │ zbtc │ zetta-bitcoin-hashrate-token │ Zetta Bitcoin Hashrate Token │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 2 │ xbtc │ dforce-btc │ dForce BTC │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 2 │ xbtc │ synthetic-btc │ Synthetic BTC │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 2 │ xbtc │ wrapped-bitcoin-stacks │ Wrapped Bitcoin-Stacks │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 3 │ xbtc │ dforce-btc │ dForce BTC │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 3 │ xbtc │ synthetic-btc │ Synthetic BTC │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 3 │ xbtc │ wrapped-bitcoin-stacks │ Wrapped Bitcoin-Stacks │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 4 │ xbtc │ dforce-btc │ dForce BTC │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 4 │ xbtc │ synthetic-btc │ Synthetic BTC │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 4 │ xbtc │ wrapped-bitcoin-stacks │ Wrapped Bitcoin-Stacks │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 5 │ wbtc │ wrapped-bitcoin │ Wrapped Bitcoin │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 5 │ wbtc │ wrapped-btc-wormhole │ Wrapped BTC (Wormhole) │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 6 │ wbtc │ wrapped-bitcoin │ Wrapped Bitcoin │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 6 │ wbtc │ wrapped-btc-wormhole │ Wrapped BTC (Wormhole) │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 7 │ vbtc │ venus-btc │ Venus BTC │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 8 │ ubtc │ united-bitcoin │ United Bitcoin │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 9 │ tbtc │ t-bitcoin │ τBitcoin │ ├───────┼────────┼──────────────────────────────┼──────────────────────────────┤ │ 9 │ tbtc │ tbtc │ tBTC │ └───────┴────────┴──────────────────────────────┴──────────────────────────────┘ Similar Coins ┌───────┬───────┬───────┐ │ index │ id │ name │ ├───────┼───────┼───────┤ │ 0 │ tbtc │ tBTC │ ├───────┼───────┼───────┤ │ 1 │ sbtc │ sBTC │ ├───────┼───────┼───────┤ │ 2 │ wwbtc │ wWBTC │ ├───────┼───────┼───────┤ │ 3 │ tzbtc │ tzBTC │ ├───────┼───────┼───────┤ │ 4 │ nhbtc │ nHBTC │ ├───────┼───────┼───────┤ │ 5 │ bxbtc │ bxBTC │ └───────┴───────┴───────┘ "},{"id":298,"href":"/OpenBBTerminal/terminal/cryptocurrency/headlines/","title":"Headlines","parent":"Cryptocurrency","content":"usage: headlines [-c COIN] [--export {csv,json,xlsx}] [-h] Display sentiment analysis from FinBrain for chosen Cryptocurrencies\noptional arguments: -c COIN, --coin COIN Symbol of coin to load data for, ~100 symbols are available (default: BTC) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 07:52 (✨) /crypto/ $ headlines date 2022-02-06 0.137 2022-02-07 0.137 2022-02-08 0.237 2022-02-09 0.123 2022-02-10 0.131 2022-02-11 0.014 2022-02-12 -0.057 2022-02-13 0.02 2022-02-14 0.103 2022-02-15 0.158 "},{"id":299,"href":"/OpenBBTerminal/terminal/cryptocurrency/load/","title":"Load","parent":"Cryptocurrency","content":"usage: load [-c COIN] [--source {cp,cg,bin,cb}] [-s START] [--vs VS] [-i INTERVAL] [-h] Load crypto currency to perform analysis on. Available data sources are CoinGecko, CoinPaprika, Binance, Coinbase. By default main source used for analysis is CoinGecko (cg). To change it use \u0026ndash;source flag.\noptional arguments: -c COIN, --coin COIN Coin to get (default: None) --source {cp,cg,bin,cb} Source of data (default: cg) -s START, --start START The starting date (format YYYY-MM-DD) of the crypto (default: 2021-02-14) --vs VS Quote currency (what to view coin vs) (default: usd) -i INTERVAL, --interval INTERVAL Interval to get data (Only available on binance/coinbase) (default: 1day) -h, --help show this help message (default: False) All the sources share the arguments specified above but --interval and --vs differ from source to source.\nFor CoinPaprika and CoinGecko are similar:\n --vs VS The currency to look the loaded coin against. Both USD and BTC are supported. Default: `USD` -i/--interval Interval to look data for. These two sources only support daily data. Default: `1day` For Coinbase:\n --vs VS The currency to look the loaded coin against. Depends on the crypto loaded. Default: `USDT` -i/--interval Interval to look data for. Default is `1day` but support all of the following: ['1min', '5min', '15min', '1hour', '6hour', '24hour', '1day'] For Binance:\n --vs VS The currency to look the loaded coin against. Depends on the crypto loaded. Default: `USDT` -i/--interval Interval to look data for. Default is `1day` but support all of the following: ['1day', '3day', '1hour', '2hour', '4hour', '6hour', '8hour', '12hour', '1week', '1min', '3min', '5min', '15min', '30min', '1month'] An example:\n2022 Feb 15, 05:51 (✨) /crypto/ $ load BTC Loaded bitcoin against usd from CoinGecko source Current Price: 44225.18 USD Performance in interval (1day): 4.68% Performance since 2021-02-14: -9.02% "},{"id":300,"href":"/OpenBBTerminal/terminal/cryptocurrency/nft/","title":"Nft","parent":"Cryptocurrency","content":"A digital asset that depicts real-world elements like as art, music, in-game items, and films is known as an NFT. They\u0026rsquo;re bought and traded online, often using cryptocurrency, and they\u0026rsquo;re usually encoded with the same software as many other cryptos.\nAvailable commands: Newest Ongoing Stats Today Upcoming "},{"id":301,"href":"/OpenBBTerminal/terminal/cryptocurrency/nft/newest/","title":"Newest","parent":"Nft","content":"usage: newest [-l N] [-h] [--export {csv,json,xlsx}] Newest\u0026rsquo;s NFT drops [Source: nftcalendar.io]\noptional arguments: -l N, --limit N Number of NFT collections to display (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 07:54 (✨) /crypto/nft/ $ newest Mar 07, 2022 – Mar 14, 2022 - Become Legendary https://nftcalendar.io/event/become-legendary/ BECOME LEGENDARY represents a collection of 11,999 unique NFT’s categorized by level of rarity and generated with hundreds of elements. BECOME LEGENDARY are stored as ERC-721 tokens on... Feb 15, 2022 – Feb 22, 2022 - Life layers https://nftcalendar.io/event/life-layers-1/ A unique collection of photographs of magnificent landscapes taken in Norway transposed into an overlapping digital art. Several versions are available with different specific styles applied with the help of... Feb 11, 2022 – Feb 18, 2022 - Snoop Dogg’s B.O.D.R NFT Album https://nftcalendar.io/event/snoop-doggs-bodr-nft-album/ The “Doggfather” of rap and NFT enthusiast Snoop Dogg has teamed up with blockchain-gaming company Gala Games to release his jubilee 20th album B.O.D.R. (Bacc On Death Row)... Mar 07, 2022 – Mar 14, 2022 - Metelite Met's ® https://nftcalendar.io/event/metelite-mets/ The metaverse will be a big part of our future life. METELITE Club ® is not just another NFT project, but a company that looks to the future by focusing... Feb 27, 2022 – Mar 06, 2022 - MarkerFrens https://nftcalendar.io/event/markerfrens/ What is MarkerFrens? MarkerFrens is a series of abstract blobs inspired by the simple marker pen. What started as basic doodle faces on paper ended up as a... "},{"id":302,"href":"/OpenBBTerminal/terminal/cryptocurrency/nft/ongoing/","title":"Ongoing","parent":"Nft","content":"usage: ongoing [-l N] [-h] [--export {csv,json,xlsx}] Ongoing\u0026rsquo;s NFT drops [Source: nftcalendar.io]\noptional arguments: -l N, --limit N Number of NFT collections to display (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 07:54 (✨) /crypto/nft/ $ ongoing Feb 07, 2022 – Feb 17, 2022 - The Normies https://nftcalendar.io/event/the-normies/ Limited release NFT'S of the political heads in charge. Featured in this drop will be Nancy Cuntlosi as her self! Politically Correct is a collection of colorful pop culture illustrations... Feb 07, 2022 – Feb 21, 2022 - Time Travel Tots Public Sale https://nftcalendar.io/event/time-travel-tots-public-sale-1/ 1 NFT = 1 hectare of forest With Moss Amazon NFT you own a hectare of the Amazon Forest and can digitally monitor your part of this preservation project. Feb 15, 2022 – Feb 22, 2022 - Per Aspera - Stock Certificate - \u0026quot;This is Not a Stock\u0026quot; https://nftcalendar.io/event/per-aspera-stock-certificate-this-is-not-a-stock-nft-launch-1/ Faces, treasures of life! First stage release of layered and unique private collection living in BSC.It will consist of 5 releases in the coming months Feb 11, 2022 – Feb 18, 2022 - Politically Correct \u0026quot;Heads In Power\u0026quot; https://nftcalendar.io/event/politically-correct-heads-in-power/ Crypto Miners Syndicate is a collection of NFTs, that live on Ethereum shadow world. 10k Miners have been algorithmically generated from more than 354 combinations and have been given unique... Feb 13, 2022 – Feb 20, 2022 - MOSS Amazon Forest Preservation https://nftcalendar.io/event/moss-amazon-forest-preservation/ Phase 1: The Bored Sasquatch Club is a collection of 10,000 NFTs living on the Ethereum blockchain. Our ultimate goal is to build the strongest community in the NFT space.... "},{"id":303,"href":"/OpenBBTerminal/terminal/cryptocurrency/nft/stats/","title":"Stats","parent":"Nft","content":"usage: stats [-s SLUG] [-h] [--export {csv,json,xlsx}] Display the statistics of a certain opensea collection [Source: opensea.io]\noptional arguments: -s SLUG, --slug SLUG Opensea collection slug to check stats (e.g., mutant-ape-yacht-club) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 07:56 (✨) /crypto/nft/ $ stats mutant-ape-yacht-club Collection Stats ┌────────────────────────────────┬───────────────────────┐ │ Metric │ Value │ ├────────────────────────────────┼───────────────────────┤ │ Name │ Mutant Ape Yacht Club │ ├────────────────────────────────┼───────────────────────┤ │ Floor Price (ETH) │ 20.00 │ ├────────────────────────────────┼───────────────────────┤ │ Number of Owners │ 11739.00 │ ├────────────────────────────────┼───────────────────────┤ │ Market Cap (ETH) │ 394162.01 │ ├────────────────────────────────┼───────────────────────┤ │ Average Price ETH │ 9.41 │ ├────────────────────────────────┼───────────────────────┤ │ One day volume (ETH) │ 529.62 │ ├────────────────────────────────┼───────────────────────┤ │ One day change (%) │ 3.65 │ ├────────────────────────────────┼───────────────────────┤ │ One day sales (ETH) │ 24.00 │ ├────────────────────────────────┼───────────────────────┤ │ One day average price (ETH) │ 22.07 │ ├────────────────────────────────┼───────────────────────┤ │ Thirty day volume (ETH) │ 50336.61 │ ├────────────────────────────────┼───────────────────────┤ │ Thirty day change (%) │ -19.89 │ ├────────────────────────────────┼───────────────────────┤ │ Thirty day sales (ETH) │ 2269.00 │ ├────────────────────────────────┼───────────────────────┤ │ Thirty day average price (ETH) │ 22.18 │ ├────────────────────────────────┼───────────────────────┤ │ Total Supply (ETH) │ 17958.00 │ ├────────────────────────────────┼───────────────────────┤ │ Total Sales (ETH) │ 25728.00 │ ├────────────────────────────────┼───────────────────────┤ │ Total Volume (ETH) │ 242008.36 │ ├────────────────────────────────┼───────────────────────┤ │ Creation Date │ Aug 29, 2021 │ ├────────────────────────────────┼───────────────────────┤ │ URL │ - │ └────────────────────────────────┴───────────────────────┘ "},{"id":304,"href":"/OpenBBTerminal/terminal/cryptocurrency/nft/today/","title":"Today","parent":"Nft","content":"usage: today [-l N] [-h] [--export {csv,json,xlsx}] Today\u0026rsquo;s NFT drops [Source: nftcalendar.io]\noptional arguments: -l N, --limit N Number of NFT collections to display (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 07:56 (✨) /crypto/nft/ $ today Feb 13, 2022 – Feb 20, 2022 - High Roller Ape Club https://nftcalendar.io/event/high-roller-ape-club/ 999 CHUMPS storming Solana Beaches!! Feb 13, 2022 – Feb 20, 2022 - Wall Street Chads (DAO / Decentralized Investment Platform) https://nftcalendar.io/event/wall-street-chads/ A unique collection of photographs of magnificent landscapes taken in Norway transposed into an overlapping digital art. Several versions are available with different specific styles applied with the help of... Feb 01, 2022 – Feb 28, 2022 - Baby Ghosts https://nftcalendar.io/event/baby-ghosts/ Jumping on the NFT bandwagon to pay off my schl fees! watch me step on things and you might get to see more than just my feet each NFT contains... Feb 03, 2022 – Mar 01, 2022 - Timeless Ape Club – $350,000 Giveaways https://nftcalendar.io/event/timeless-ape-club-500000-giveaways/ Rappears is a community of upcoming artists, music lovers and rap stars! If you’re looking to discover new music or bring your hip hop game to the next level, becoming... Feb 16, 2022 – Feb 23, 2022 - Satoshi's Index Utility NFT (Presale Sold Out) https://nftcalendar.io/event/satoshis-index-utility-investment-nft-mint/ NFT with voting and governing rights! Collection of 10,000 Nostalgic Apes, created on the Ethereum Blockchain, is unique and randomly generated from 202 traits, some of them are exclusive and... "},{"id":305,"href":"/OpenBBTerminal/terminal/cryptocurrency/nft/upcoming/","title":"Upcoming","parent":"Nft","content":"usage: upcoming [-l N] [-h] [--export {csv,json,xlsx}] Upcoming\u0026rsquo;s NFT drops [Source: nftcalendar.io]\noptional arguments: -l N, --limit N Number of NFT collections to display (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 07:57 (✨) /crypto/nft/ $ upcoming Feb 19, 2022 – Feb 26, 2022 - Krazy Karens NFT Game https://nftcalendar.io/event/krazy-karens-nft-game/ Collection Of 10,000 Strong, Beautiful, Powerful Women Cyborgs Living In The Ethereum Blockchain --- Goal of WomenCyborg is to contribute to Stronger Women, Stronger Nations Program and which is... Mar 03, 2022 – Mar 10, 2022 - Mythia: Find Profitable NFTs Before Everyone Else https://nftcalendar.io/event/mythia-origins-find-nft-opportunities-before-everyone-else/ The launching of the most wanted Meta Pug NFT Collection Feb 18, 2022 – Feb 25, 2022 - Tough Guys Club Pre-Sale https://nftcalendar.io/event/tough-guys-club-pre-sale/ Only 900 Ganymedian collectibles that you will be able to abduct! Each one individually hand drawn. Take advantage of this project early. Ganymedians are here to stay and take over... Jan 13, 2022 – Jan 21, 2022 - Senior Ape Golf Club - $250,000 Giveaways - February Stealth Drop https://nftcalendar.io/event/senior-ape-golf-club-stealth-drop-222-free-gas-discord/ What is PunksMeta? PunksMeta is a Rule To Earn game, a market of rare utility driven NFTs. It is based on 3 main NFTs : - PunksFlags - PunksDistricts -... Feb 15, 2022 – Feb 22, 2022 - Digital Landowners Society (DLS) https://nftcalendar.io/event/digital-landowners-society-dls/ This collection features the NFT digital baseball cards of the 2021 Houston Apollos. The Apollos were one of the 12 independent professional minor league baseball teams which played in the... "},{"id":306,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/","title":"Onchain","parent":"Cryptocurrency","content":"On-chain analysis is a way of determining market sentiment by leveraging data from a blockchain ledger. More precisely, it entails examining transaction data and crypto wallet balances, both of which are helpful when deciding whether or not to invest. After all, if a token isn\u0026rsquo;t traded and the great bulk of its circulating supply is controlled by a few large investors known as whales, investing in it is generally not a wise idea.\nAvailable commands: Address Baas Balance Btccp Btcct Dvcp Gwei Hist Holders Hr Info Lt Prices Th Top Ttcp Tv Tx Ueat Whales "},{"id":307,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/address/","title":"Address","parent":"Onchain","content":"usage: address [-a] [-t] [-tx] [--address ADDRESS] [-h] Load address for further analysis. You can analyze account address, token address or transaction hash. [Source: Ethplorer]\noptional arguments: -a Account address (default: False) -t ERC20 token address (default: False) -tx Transaction hash (default: False) --address ADDRESS Ethereum address (default: False) -h, --help show this help message (default: False) "},{"id":308,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/baas/","title":"Baas","parent":"Onchain","content":"usage: baas [-c COIN] [-l N] [-vs VS] [-d DAYS] [-s {date,baseCurrency,quoteCurrency,dailySpread,averageBidPrice,averageAskPrice}] [--descend] [-h] [--export {csv,json,xlsx}] Display average bid, ask prices, spread for given crypto pair for chosen time period [Source: https://graphql.bitquery.io/]\noptional arguments: -c COIN, --coin COIN ERC20 token symbol or address. (default: None) -l N, --limit N display N number records (default: 10) -vs VS, --vs VS Quote currency (default: USDT) -d DAYS, --days DAYS Number of days to display data for. (default: 10) -s {date,baseCurrency,quoteCurrency,dailySpread,averageBidPrice,averageAskPrice}, --sort {date,baseCurrency,quoteCurrency,dailySpread,averageBidPrice,averageAskPrice} Sort by given column. (default: date) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":309,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/balance/","title":"Balance","parent":"Onchain","content":"usage: balance [-l N] [-s {index,balance,tokenName,tokenSymbol}] [--descend] [--export {csv,json,xlsx}] [-h] Display info about tokens on given ethereum blockchain address. [Source: Ethplorer]\noptional arguments: -l N, --limit N display N number records (default: 10) -s {index,balance,tokenName,tokenSymbol}, --sort {index,balance,tokenName,tokenSymbol} Sort by given column. Default: index (default: index) --descend Flag to sort in descending order (lowest first) (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":310,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/btccp/","title":"Btccp","parent":"Onchain","content":"usage: btccp [-s INITIAL_DATE] [-u END_DATE] [--export {csv,json,xlsx}] [-h] Displays bitcoin circulating supply. [Source: https://api.blockchain.info/]\narguments: -s DATE --since DATE Initial date. Default is initial BTC date: 2010-01-01 -u DATE --until DATE Final date. Default is current date --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":311,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/btcct/","title":"Btcct","parent":"Onchain","content":"usage: btcct [-s INITIAL_DATE] [-u END_DATE] [--export {csv,json,xlsx}] [-h] Displays bitcoin confirmed transactions. [Source: https://api.blockchain.info/]\narguments: -s DATE --since DATE Initial date. Default is initial BTC date: 2010-01-01 -u DATE --until DATE Final date. Default is current date --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":312,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/dvcp/","title":"Dvcp","parent":"Onchain","content":"usage: tv [-c COIN] [-vs {ETH,USD,BTC,USDT}] [-l N] [-s {exchange,tradeAmount,trades}] [--descend] [-h] [--export {csv,json,xlsx}] Display daily volume for given crypto pair [Source: https://graphql.bitquery.io/]\noptional arguments: -c COIN, --coin COIN ERC20 token symbol or address. (default: None) -vs {ETH,USD,BTC,USDT}, --vs {ETH,USD,BTC,USDT} Currency of displayed trade amount. (default: USD) -l N, --limit N display N number records (default: 10) -s {exchange,tradeAmount,trades}, --sort {exchange,tradeAmount,trades} Sort by given column. (default: trades) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":313,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/gwei/","title":"Gwei","parent":"Onchain","content":"usage: onchain [--export {csv,json,xlsx}] [-h] Display ETH gas fees [Source: https://ethgasstation.info]\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example output:\n Tx Type Fee (gwei) Duration (min) Fastest 108 0.4 Fast 95 0.5 Average 72 4.0 Slow 68 11.9 "},{"id":314,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/hist/","title":"Hist","parent":"Onchain","content":"usage: hist [-l N] [-s {timestamp,transactionHash,token,value}] [--descend] [--export {csv,json,xlsx}] [-h] Display history for given ethereum blockchain address. e.g. 0x3cD751E6b0078Be393132286c442345e5DC49699 [Source: Ethplorer]\noptional arguments: -l N, --limit N display N number records (default: 10) -s {timestamp,transactionHash,token,value}, --sort {timestamp,transactionHash,token,value} Sort by given column. Default: timestamp (default: timestamp) --descend Flag to sort in descending order (lowest first) (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":315,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/holders/","title":"Holders","parent":"Onchain","content":"usage: holders [-l N] [-s {balance,balance,share}] [--descend] [--export {csv,json,xlsx}] [-h] Display top ERC20 token holders: e.g. 0x1f9840a85d5aF5bf1D1762F925BDADdC4201F984 [Source: Ethplorer]\noptional arguments: -l N, --limit N display N number records (default: 10) -s {balance,balance,share}, --sort {balance,balance,share} Sort by given column. Default: share (default: share) --descend Flag to sort in descending order (lowest first) (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":316,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/hr/","title":"Hr","parent":"Onchain","content":"usage: hr [-c COIN] [-s INITIAL_DATE] [-u END_DATE] [-i {1h, 24h, 10m, 1w, 1month}] [--export {csv,json,xlsx}] [-h] Display the average hash rate of a certain network.[Source: https://glassnode.org]\nSupported assets: BTC, ETH\narguments: -c COIN --coin COIN Coin to check hashrate (BTC or ETH) -s DATE --since DATE Start date (default: 1 year before, e.g., 2020-10-22) -u DATE --until DATE End date (default: current day, e.g., 2021-10-22) -i INTERV --interval INTERV Interval frequency (default: 24h) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":317,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/info/","title":"Info","parent":"Onchain","content":"usage: info [--social] [--export {csv,json,xlsx}] [-h] Display info about ERC20 token. e.g. 0x1f9840a85d5aF5bf1D1762F925BDADdC4201F984 [Source: Ethplorer]\noptional arguments: --social Flag to show social media links (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":318,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/lt/","title":"Lt","parent":"Onchain","content":"usage: lt [-k {dex,time}] [-vs {ETH,USD,BTC,USDT}] [-l N] [-d DAYS] [-s {trades,tradeAmount,exchange}] [--descend] [-h] [--export {csv,json,xlsx}] Display Trades on Decentralized Exchanges aggregated by DEX or Month [Source: https://graphql.bitquery.io/]\noptional arguments: -k {dex,time}, --kind {dex,time} Aggregate trades by dex or time Default: dex (default: dex) -vs {ETH,USD,BTC,USDT}, --vs {ETH,USD,BTC,USDT} Currency of displayed trade amount. (default: USD) -l N, --limit N display N number records (default: 10) -d DAYS, --days DAYS Number of days to display data for. (default: 90) -s {trades,tradeAmount,exchange}, --sort {trades,tradeAmount,exchange} Sort by given column. Default: tradeAmount. For monthly trades date. (default: tradeAmount) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":319,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/prices/","title":"Prices","parent":"Onchain","content":"usage: prices [-l N] [-s {date,cap,volumeConverted,open,high,close,low}] [--descend] [--export {csv,json,xlsx}] [-h] Display token historical prices. e.g. 0x1f9840a85d5aF5bf1D1762F925BDADdC4201F984 [Source: Ethplorer]\noptional arguments: -l N, --limit N display N number records (default: 10) -s {date,cap,volumeConverted,open,high,close,low}, --sort {date,cap,volumeConverted,open,high,close,low} Sort by given column. Default: date (default: date) --descend Flag to sort in descending order (lowest first) (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":320,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/th/","title":"Th","parent":"Onchain","content":"usage: th [-l N] [-s {value}] [--descend] [--hash] [--export {csv,json,xlsx}] [-h] Displays info about token history. e.g. 0x1f9840a85d5aF5bf1D1762F925BDADdC4201F984 [Source: Ethplorer]\noptional arguments: -l N, --limit N display N number records (default: 10) -s {value}, --sort {value} Sort by given column. Default: value (default: value) --descend Flag to sort in descending order (lowest first) (default: True) --hash Flag to show transaction hash (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":321,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/top/","title":"Top","parent":"Onchain","content":"usage: top [-l N] [-s {rank,name,symbol,price,txsCount,transfersCount,holdersCount,address}] [--descend] [--export {csv,json,xlsx}] [-h] Display top ERC20 tokens. [Source: Ethplorer]\noptional arguments: -l N, --limit N display N number records (default: 10) -s {rank,name,symbol,price,txsCount,transfersCount,holdersCount,address}, --sort {rank,name,symbol,price,txsCount,transfersCount,holdersCount,address} Sort by given column. Default: rank (default: rank) --descend Flag to sort in descending order (lowest first) (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:04 (✨) /crypto/onchain/ $ top Top ERC20 Tokens ┌──────┬───────────────┬────────┬─────────┬──────────┬────────────────┬──────────────┬────────────────┬───────────────┐ │ rank │ name │ symbol │ price │ txsCount │ transfersCount │ holdersCount │ twitter │ coingecko │ ├──────┼───────────────┼────────┼─────────┼──────────┼────────────────┼──────────────┼────────────────┼───────────────┤ │ 1 │ WETH │ WETH │ 3099.54 │ 6M │ 90M │ 440.2K │ │ weth │ ├──────┼───────────────┼────────┼─────────┼──────────┼────────────────┼──────────────┼────────────────┼───────────────┤ │ 2 │ Tether USD │ USDT │ 1.00 │ 125.5M │ 138.8M │ 4.4M │ Tether_to │ tether │ ├──────┼───────────────┼────────┼─────────┼──────────┼────────────────┼──────────────┼────────────────┼───────────────┤ │ 3 │ USD Coin │ USDC │ 1.00 │ 19M │ 34.8M │ 1.4M │ │ usd-coin │ ├──────┼───────────────┼────────┼─────────┼──────────┼────────────────┼──────────────┼────────────────┼───────────────┤ │ 4 │ Strong │ STRONG │ 393.38 │ 464.9K │ 4.7M │ 31.5K │ Strongblock_io │ strong │ ├──────┼───────────────┼────────┼─────────┼──────────┼────────────────┼──────────────┼────────────────┼───────────────┤ │ 5 │ LooksRare │ LOOKS │ 2.14 │ 263.9K │ 1.2M │ 19.6K │ LooksRareNFT │ looksrare │ ├──────┼───────────────┼────────┼─────────┼──────────┼────────────────┼──────────────┼────────────────┼───────────────┤ │ 6 │ Dai │ DAI │ 1.00 │ 4.1M │ 13.1M │ 453.7K │ MakerDAO │ dai │ ├──────┼───────────────┼────────┼─────────┼──────────┼────────────────┼──────────────┼────────────────┼───────────────┤ │ 7 │ Shiba Inu │ SHIB │ 0.00 │ 4.6M │ 6.8M │ 1.2M │ Shibtoken │ shiba-inu │ ├──────┼───────────────┼────────┼─────────┼──────────┼────────────────┼──────────────┼────────────────┼───────────────┤ │ 8 │ Matic Network │ MATIC │ 1.79 │ 2.8M │ 3.5M │ 367.6K │ maticnetwork │ matic-network │ ├──────┼───────────────┼────────┼─────────┼──────────┼────────────────┼──────────────┼────────────────┼───────────────┤ │ 9 │ Chainlink │ LINK │ 16.81 │ 5.5M │ 10.9M │ 651.2K │ chainlink │ chainlink │ ├──────┼───────────────┼────────┼─────────┼──────────┼────────────────┼──────────────┼────────────────┼───────────────┤ │ 10 │ Gala │ GALA │ 0.34 │ 678.5K │ 869.8K │ 105.5K │ GoGalaGames │ gala │ └──────┴───────────────┴────────┴─────────┴──────────┴────────────────┴──────────────┴────────────────┴───────────────┘ "},{"id":322,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/ttcp/","title":"Ttcp","parent":"Onchain","content":"usage: ttcp [-l N] [-e {1inch,afrodex,airswap,amplbitcratic,balancer,bestswap,bitox,cellswap,cofix,coinchangex,curve,ddex,dubiex,decentrex,deversifi,dodo,ethercexchange,etherblockchain,etherdelta,ethernext,ethfinex,fegex,fffswap,fordex,gudecks,gudeks,hiswap,idex,ledgerdex,mat cha,miniswap,mooniswap,oasis,openrelay,s.finance,sakeswap,seeddex,singularx,starbitex,sushiswap,swapx,switchdex,tacoswap,tokenjar,tokenstore,tokentrove,tokenlon,tradexone,uniswap,zeusswap,dydx,dex.blue}] [-d DAYS] [-s {base,quoted,trades,tradeAmount}] [--descend] [-h] [--export {csv,json,xlsx}] Display most traded crypto pairs on given decentralized exchange in chosen time period [Source: https://graphql.bitquery.io/]\noptional arguments: -l N, --limit N display N number records (default: 10) -e {1inch,afrodex,airswap,amplbitcratic,balancer,bestswap,bitox,cellswap,cofix,coinchangex,curve,ddex,dubiex,decentrex,deversifi,dodo,ethercexchange,etherblockchain,etherdelta,ethernext,ethfinex,fegex,fffswap,fordex,gudecks,gudeks,hiswap,idex,ledgerdex,matcha,miniswa p,mooniswap,oasis,openrelay,s.finance,sakeswap,seeddex,singularx,starbitex,sushiswap,swapx,switchdex,tacoswap,tokenjar,tokenstore,tokentrove,tokenlon,tradexone,uniswap,zeusswap,dydx,dex.blue}, --exchange {1inch,afrodex,airswap,amplbitcratic,balancer,bestswap,bitox,cell swap,cofix,coinchangex,curve,ddex,dubiex,decentrex,deversifi,dodo,ethercexchange,etherblockchain,etherdelta,ethernext,ethfinex,fegex,fffswap,fordex,gudecks,gudeks,hiswap,idex,ledgerdex,matcha,miniswap,mooniswap,oasis,openrelay,s.finance,sakeswap,seeddex,singularx,starb itex,sushiswap,swapx,switchdex,tacoswap,tokenjar,tokenstore,tokentrove,tokenlon,tradexone,uniswap,zeusswap,dydx,dex.blue} Decentralized exchange name. (default: Uniswap) -d DAYS, --days DAYS Number of days to display data for. (default: 30) -s {base,quoted,trades,tradeAmount}, --sort {base,quoted,trades,tradeAmount} Sort by given column. (default: tradeAmount) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":323,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/tv/","title":"Tv","parent":"Onchain","content":"usage: volt [-c COIN] [-vs {ETH,USD,BTC,USDT}] [-l N] [-s {exchange,coin,tradeAmount,trades}] [--descend] [-h] [--export {csv,json,xlsx}] Display token volume on different Decentralized Exchanges [Source: https://graphql.bitquery.io/]\noptional arguments: -c COIN, --coin COIN ERC20 token symbol or address. (default: ETH) -vs {ETH,USD,BTC,USDT}, --vs {ETH,USD,BTC,USDT} Currency of displayed trade amount. (default: USD) -l N, --limit N display N number records (default: 10) -s {exchange,coin,tradeAmount,trades}, --sort {exchange,coin,tradeAmount,trades} Sort by given column. (default: trades) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":324,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/tx/","title":"Tx","parent":"Onchain","content":"usage: tx [--export {csv,json,xlsx}] [-h] Display info ERC20 token transaction on ethereum blockchain. e.g. 0x9dc7b43ad4288c624fdd236b2ecb9f2b81c93e706b2ffd1d19b112c1df7849e6 [Source: Ethplorer]\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":325,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/ueat/","title":"Ueat","parent":"Onchain","content":"usage: ueat [-l N] [-s {date,uniqueSenders,transactions,averageGasPrice,mediumGasPrice,maximumGasPrice}] [-i {day,month,week}] [--descend] [-h] [--export {csv,json,xlsx}] Display number of unique ethereum addresses which made a transaction in given time interval [Source: https://graphql.bitquery.io/]\noptional arguments: -l N, --limit N display N number records. (Maximum available time period is 90 days.Depending on chosen time period, top N records will be recalculated. E.g.For interval: month, and top: 10, period of calculation equals to 300, but because of max days limit: 90, it will only return last 3 months (3 records). (default: 10) -s {date,uniqueSenders,transactions,averageGasPrice,mediumGasPrice,maximumGasPrice}, --sort {date,uniqueSenders,transactions,averageGasPrice,mediumGasPrice,maximumGasPrice} Sort by given column. (default: date) -i {day,month,week}, --interval {day,month,week} Time interval in which ethereum address made transaction. month, week or day. Maximum time period is 90 days (3 months, 14 weeks) (default: day) --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":326,"href":"/OpenBBTerminal/terminal/cryptocurrency/onchain/whales/","title":"Whales","parent":"Onchain","content":"usage: whales [-m MIN] [-l N] [-s {date,symbol,blockchain,amount,amount_usd,from,to}] [--descend] [-a] [--export {csv,json,xlsx}] [-h] Display huge value transactions from major blockchains. [Source: https://docs.whale-alert.io/]\noptional arguments: -m MIN, --min MIN Minimum value of transactions. (default: 1000000) -l N, --limit N display N number of records (default: 10) -s {date,symbol,blockchain,amount,amount_usd,from,to}, --sort {date,symbol,blockchain,amount,amount_usd,from,to} Sort by given column (default: date) --descend Flag to sort in descending order (lowest first) (default: True) -a, --address Flag to show addresses of transactions (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":327,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/","title":"Overview","parent":"Cryptocurrency","content":"Available commands: Altindex Btcrb Cbpairs Cgcategories Cgdefi Cgderivatives Cgexchanges Cgexrates Cgglobal Cghold Cgindexes Cgnews Cgstables Ch Cpcontracts Cpexchanges Cpexmarkets Cpglobal Cpinfo Cpmarkets Cpplatforms Cr Ewf Hm News Wf Wfpe "},{"id":328,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/altindex/","title":"Altindex","parent":"Overview","content":"usage: altindex [-s INITIAL_DATE] [-u END_DATE] [-p {30, 90, 365}] [--export {csv,json,xlsx}] [-h] Display altcoin index overtime [Source: https://blockchaincenter.net] If 75% of the Top 50 coins performed better than Bitcoin over periods of time (30, 90 or 365 days) it is Altcoin Season. Excluded from the Top 50 are Stablecoins (Tether, DAI…) and asset backed tokens (WBTC, stETH, cLINK,…)\narguments: -s DATE --since DATE Start date (default: 1 year before, e.g., 2021-01-01) -u DATE --until DATE End date (default: current day, e.g., 2022-01-01) -p DAYS --period DAYS Period of days to check performance (default: 365) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":329,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/btcrb/","title":"Btcrb","parent":"Overview","content":"usage: btcrb [-s INITIAL_DATE] [-u END_DATE] [--export {csv,json,xlsx}] [-h] Displays bitcoin rainbow chart. It also includes halving dates.\n[Price data from source: https://glassnode.com]\n[Inspired by: https://blockchaincenter.net]\narguments: -s DATE --since DATE Initial date. Default is initial BTC date: 2010-01-01 -u DATE --until DATE Final date. Default is current date --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":330,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cbpairs/","title":"Cbpairs","parent":"Overview","content":"usage: cbpairs [-l N] [-s {id,display_name,base_currency,quote_currency,base_min_size,base_max_size,min_market_funds,max_market_funds}] [--descend] [--export {csv,json,xlsx}] [-h] Shows available trading pairs on Coinbase\noptional arguments: -l N, --limit N N number of news \u0026gt;=10 (default: 15) -s {id,display_name,base_currency,quote_currency,base_min_size,base_max_size,min_market_funds,max_market_funds}, --sort {id,display_name,base_currency,quote_currency,base_min_size,base_max_size,min_market_funds,max_market_funds} Sort by given column. Default: id (default: id) --descend Flag to sort in descending order (lowest first) (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:09 (✨) /crypto/ov/ $ cbpairs Available Pairs for Trading ┌───────────┬──────────────┬───────────────┬────────────────┬───────────────┬───────────────┬──────────────────┬──────────────────┐ │ id │ display_name │ base_currency │ quote_currency │ base_min_size │ base_max_size │ min_market_funds │ max_market_funds │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ 1INCH-BTC │ 1INCH/BTC │ 1INCH │ BTC │ 0.23 │ 91 K │ 0.000016 │ 10 │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ 1INCH-EUR │ 1INCH/EUR │ 1INCH │ EUR │ 0.22 │ 88 K │ 0.84 │ 170 K │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ 1INCH-GBP │ 1INCH/GBP │ 1INCH │ GBP │ 0.23 │ 90 K │ 0.72 │ 150 K │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ 1INCH-USD │ 1INCH/USD │ 1INCH │ USD │ 0.23 │ 320 K │ 1 │ 710 K │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ AAVE-BTC │ AAVE/BTC │ AAVE │ BTC │ 0.003 │ 2.500 K │ 0.000016 │ 13 │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ AAVE-EUR │ AAVE/EUR │ AAVE │ EUR │ 0.003 │ 2.400 K │ 0.84 │ 470 K │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ AAVE-GBP │ AAVE/GBP │ AAVE │ GBP │ 0.003 │ 1.500 K │ 0.72 │ 240 K │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ AAVE-USD │ AAVE/USD │ AAVE │ USD │ 0.003 │ 8.900 K │ 1 │ 2 M │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ ACH-USD │ ACH/USD │ ACH │ USD │ 11 │ 20 M │ 1 │ 1.100 M │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ ADA-BTC │ ADA/BTC │ ADA │ BTC │ 0.5 │ 820 K │ 0.000016 │ 27 │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ ADA-ETH │ ADA/ETH │ ADA │ ETH │ 0.5 │ 660 K │ 0.00022 │ 290 │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ ADA-EUR │ ADA/EUR │ ADA │ EUR │ 0.48 │ 880 K │ 0.84 │ 1.100 M │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ ADA-GBP │ ADA/GBP │ ADA │ GBP │ 0.49 │ 640 K │ 0.72 │ 650 K │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ ADA-USD │ ADA/USD │ ADA │ USD │ 0.5 │ 3.600 M │ 1 │ 5 M │ ├───────────┼──────────────┼───────────────┼────────────────┼───────────────┼───────────────┼──────────────────┼──────────────────┤ │ ADA-USDC │ ADA/USDC │ ADA │ USDC │ 0.5 │ 580 K │ 1 │ 800 K │ └───────────┴──────────────┴───────────────┴────────────────┴───────────────┴───────────────┴──────────────────┴──────────────────┘ "},{"id":331,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cgcategories/","title":"Cgcategories","parent":"Overview","content":"usage: cgcategories [-l N] [-s {Rank,Name,Change_1h,Change_24h,Change_7d,Market_Cap,Volume_24h,Coins}] [--descend] [-l] [--export {csv,json,xlsx}] [--pie] [-h] Shows top cryptocurrency categories by market capitalization. It includes categories like: stablecoins, defi, solana ecosystem, polkadot ecosystem and many others. You can sort by each column using \u0026ndash;sort parameter\noptional arguments: -l N, --limit N display N number records (default: 15) -s {Rank,Name,Change_1h,Change_24h,Change_7d,Market_Cap,Volume_24h,Coins}, --sort {Rank,Name,Change_1h,Change_24h,Change_7d,Market_Cap,Volume_24h,Coins} Sort by given column. Default: Rank (default: Rank) --pie Show pie chart with market cap distribution --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:10 (✨) /crypto/ov/ $ cgcategories ┌──────────────────────────────────┬────────────┬───────────────────────┬───────────────────────────────────────────────────────┬────────────┐ │ Name │ Market Cap │ Market Cap Change 24H │ Top 3 Coins │ Volume 24H │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Smart Contract Platform │ 678.047 B │ 8.095 │ ethereum,binance-coin-logo,cardano │ 27.408 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Binance Smart Chain Ecosystem │ 339.679 B │ 3.876 │ Tether-logo,binance-coin-logo,USD_Coin_icon │ 58.906 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Polygon Ecosystem │ 311.497 B │ 3.644 │ Tether-logo,binance-coin-logo,USD_Coin_icon │ 58.872 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Avalanche Ecosystem │ 299.726 B │ 3.620 │ Tether-logo,binance-coin-logo,USD_Coin_icon │ 53.420 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Moonriver Ecosystem │ 288.048 B │ 3.709 │ Tether-logo,binance-coin-logo,USD_Coin_icon │ 55.035 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Fantom Ecosystem │ 215.497 B │ 1.760 │ Tether-logo,USD_Coin_icon,luna1557227471663 │ 53.904 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Stablecoins │ 182.561 B │ -0.108 │ Tether-logo,USD_Coin_icon,BUSD │ 50.694 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Arbitrum Ecosystem │ 180.827 B │ 1.536 │ Tether-logo,USD_Coin_icon,wrapped_bitcoin_wbtc │ 49.169 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Near Protocol Ecosystem │ 173.873 B │ 1.585 │ Tether-logo,USD_Coin_icon,4943 │ 49.034 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Exchange-based Tokens │ 129.556 B │ 7.082 │ binance-coin-logo,cypto,F │ 6.532 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Decentralized Finance (DeFi) │ 115.516 B │ 6.310 │ luna1557227471663,4943,chainlink-new-logo │ 5.141 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Centralized Exchange Token (CEX) │ 109.267 B │ 6.734 │ binance-coin-logo,cypto,F │ 2.138 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Gnosis Chain Ecosystem │ 86.569 B │ 3.015 │ USD_Coin_icon,wrapped_bitcoin_wbtc,chainlink-new-logo │ 5.255 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Cosmos Ecosystem │ 56.514 B │ 7.509 │ luna1557227471663,cypto,cosmos_hub │ 2.653 B │ ├──────────────────────────────────┼────────────┼───────────────────────┼───────────────────────────────────────────────────────┼────────────┤ │ Solana Ecosystem │ 51.051 B │ 8.194 │ solana,chainlink-new-logo,Graph_Token │ 2.925 B │ └──────────────────────────────────┴────────────┴───────────────────────┴───────────────────────────────────────────────────────┴────────────┘ "},{"id":332,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cgdefi/","title":"Cgdefi","parent":"Overview","content":"usage: cgdefi [--export {csv,json,xlsx}] [-h] Shows global DeFi statistics DeFi or Decentralized Finance refers to financial services that are built on top of distributed networks with no central intermediaries. Displays metrics like: Market Cap, Trading Volume, Defi Dominance, Top Coins\u0026hellip;\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:11 (✨) /crypto/ov/ $ cgdefi Global DEFI Statistics ┌─────────────────────────┬─────────────────┐ │ Metric │ Value │ ├─────────────────────────┼─────────────────┤ │ Defi Market Cap │ 110361000917.64 │ ├─────────────────────────┼─────────────────┤ │ Eth Market Cap │ 372708922218.61 │ ├─────────────────────────┼─────────────────┤ │ Defi To Eth Ratio │ 29.61 │ ├─────────────────────────┼─────────────────┤ │ Trading Volume 24H │ 4839623761.93 │ ├─────────────────────────┼─────────────────┤ │ Defi Dominance │ 5.32 │ ├─────────────────────────┼─────────────────┤ │ Top Coin Name │ Terra │ ├─────────────────────────┼─────────────────┤ │ Top Coin Defi Dominance │ 20.40 │ └─────────────────────────┴─────────────────┘ "},{"id":333,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cgderivatives/","title":"Cgderivatives","parent":"Overview","content":"usage: cgderivatives [-l N] [-s {Rank,Market,Symbol,Price,Pct_Change_24h,Contract_Type,Basis,Spread,Funding_Rate,Volume_24h}] [--descend] [--export {csv,json,xlsx}] [-h] Shows list of crypto derivatives from CoinGecko Crypto derivatives are secondary contracts or financial tools that derive their value from a primary underlying asset. In this case, the primary asset would be a cryptocurrency such as Bitcoin. The most popular crypto derivatives are crypto futures, crypto options, and perpetual contracts. You can look on only display N number records with \u0026ndash;limit, You can sort by Rank, Market, Symbol, Price, Pct_Change_24h, Contract_Type, Basis, Spread, Funding_Rate, Volume_24h with \u0026ndash;sort and also with \u0026ndash;descend flag to set it to sort descending. Displays: Rank, Market, Symbol, Price, Pct_Change_24h, Contract_Type, Basis, Spread, Funding_Rate, Volume_24h\noptional arguments: -l N, --limit N display N number records (default: 15) -s {Rank,Market,Symbol,Price,Pct_Change_24h,Contract_Type,Basis,Spread,Funding_Rate,Volume_24h}, --sort {Rank,Market,Symbol,Price,Pct_Change_24h,Contract_Type,Basis,Spread,Funding_Rate,Volume_24h} Sort by given column. Default: Rank (default: Rank) --descend Flag to sort in descending order (lowest first) (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:11 (✨) /crypto/ov/ $ cgderivatives Crypto Derivatives ┌──────┬───────────────────────────────┬───────────────┬──────────┬────────────────┬───────────────┬───────┬────────┬──────────────┬────────────────┐ │ Rank │ Market │ Symbol │ Price │ Pct_Change_24h │ Contract_Type │ Basis │ Spread │ Funding_Rate │ Volume_24h │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 1 │ Binance (Futures) │ BTCUSDT │ 44268.84 │ 4.20 │ perpetual │ 0.02 │ 0.01 │ -0.01 │ 14058514627.71 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 2 │ FTX (Derivatives) │ BTC-PERP │ 44320.00 │ 4.26 │ perpetual │ -0.07 │ 0.01 │ 0.05 │ 3855173273.68 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 3 │ MEXC Global (Futures) │ ETH_USDT │ 3113.88 │ 6.05 │ perpetual │ 0.06 │ 0.01 │ -0.02 │ 742832083.24 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 4 │ Gate.io (Futures) │ BTC_USDT │ 44255.93 │ 4.07 │ perpetual │ 0.07 │ 0.01 │ -0.01 │ 1323562150.90 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 5 │ Binance (Futures) │ ETHUSDT │ 3116.95 │ 6.44 │ perpetual │ 0.04 │ 0.01 │ -0.02 │ 6311502301.53 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 6 │ Prime XBT │ BTC/USD │ 44250.70 │ 4.25 │ perpetual │ 0.00 │ 0.02 │ 0.00 │ 237445592.24 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 7 │ Bitget Futures │ BTCUSDT_UMCBL │ 44240.81 │ 3.93 │ perpetual │ -0.01 │ 0.01 │ -0.01 │ 4770121162.81 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 8 │ FTX (Derivatives) │ ETH-PERP │ 3115.00 │ 6.25 │ perpetual │ 0.03 │ 0.01 │ 0.00 │ 2193700085.40 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 9 │ Bitfinex (Futures) │ ETHF0:USTF0 │ 3116.90 │ 6.59 │ perpetual │ 0.05 │ 0.01 │ 0.00 │ 35390334.64 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 10 │ Bybit │ BTCUSDT │ 44213.89 │ 3.90 │ perpetual │ 0.06 │ 0.01 │ -0.01 │ 2873696641.99 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 11 │ C-Trade │ BTCUSD │ 44172.50 │ 3.65 │ perpetual │ 0.16 │ 0.01 │ 0.01 │ 25634007.98 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 12 │ Crypto.com Exchange (Futures) │ BTCUSD-PERP │ 44295.00 │ 4.21 │ perpetual │ -0.00 │ 0.02 │ 0.00 │ 882778425.04 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 13 │ Binance (Futures) │ BTCUSD_PERP │ 44273.80 │ 4.16 │ perpetual │ 0.05 │ 0.01 │ -0.01 │ 5207414861.13 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 14 │ Bybit │ BTCUSD │ 44200.50 │ 3.89 │ perpetual │ 0.10 │ 0.01 │ -0.01 │ 1365988606.18 │ ├──────┼───────────────────────────────┼───────────────┼──────────┼────────────────┼───────────────┼───────┼────────┼──────────────┼────────────────┤ │ 15 │ BTSE (Futures) │ BTCPFC │ 44220.00 │ 4.10 │ perpetual │ 0.03 │ 0.01 │ 0.00 │ 1022965434.27 │ └──────┴───────────────────────────────┴───────────────┴──────────┴────────────────┴───────────────┴───────┴────────┴──────────────┴────────────────┘ "},{"id":334,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cgexchanges/","title":"Cgexchanges","parent":"Overview","content":"usage: cgexchanges [-l N] [-s {Rank,Trust_Score,Id,Name,Country,Year Established,Trade_Volume_24h_BTC}] [--descend] [-l] [--export {csv,json,xlsx}] [-h] Shows Top Crypto Exchanges You can display only N number exchanges with \u0026ndash;limit parameter. You can sort data by Trust_Score, Id, Name, Country, Year_Established, Trade_Volume_24h_BTC with \u0026ndash;sort and also with \u0026ndash;descend flag to sort descending. Flag \u0026ndash;urls will display urls. Displays: Trust_Score, Id, Name, Country, Year_Established, Trade_Volume_24h_BTC\noptional arguments: -l N, --limit N display N number records (default: 15) -s {Rank,Trust_Score,Id,Name,Country,Year Established,Trade_Volume_24h_BTC}, --sort {Rank,Trust_Score,Id,Name,Country,Year Established,Trade_Volume_24h_BTC} Sort by given column. Default: Rank (default: Rank) --descend Flag to sort in descending order (lowest first) (default: True) -u, --urls Flag to show urls (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:12 (✨) /crypto/ov/ $ cgexchanges Top CoinGecko Exchanges ┌──────┬─────────────┬────────────┬─────────────────────┬────────────────────────┬──────────────────┬──────────────────────┐ │ Rank │ Trust_Score │ Id │ Name │ Country │ Year_Established │ Trade_Volume_24h_BTC │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 1 │ 10.00 │ binance │ Binance │ Cayman Islands │ 2017.00 │ 307450.76 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 2 │ 10.00 │ okex │ OKX │ Belize │ 2013.00 │ 80452.05 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 3 │ 10.00 │ gdax │ Coinbase Exchange │ United States │ 2012.00 │ 68358.93 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 4 │ 10.00 │ crypto_com │ Crypto.com Exchange │ Cayman Islands │ 2019.00 │ 60342.43 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 5 │ 10.00 │ kucoin │ KuCoin │ Seychelles │ 2014.00 │ 53539.44 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 6 │ 10.00 │ ftx_spot │ FTX │ Antigua and Barbuda │ 2019.00 │ 40360.67 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 7 │ 10.00 │ huobi │ Huobi Global │ Seychelles │ 2013.00 │ 34851.50 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 8 │ 10.00 │ gate │ Gate.io │ Hong Kong │ None │ 30159.12 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 9 │ 10.00 │ bitmart │ BitMart │ Cayman Islands │ 2017.00 │ 21782.37 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 10 │ 10.00 │ kraken │ Kraken │ United States │ 2011.00 │ 19819.63 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 11 │ 10.00 │ bitfinex │ Bitfinex │ British Virgin Islands │ 2014.00 │ 13254.81 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 12 │ 10.00 │ bybit_spot │ Bybit (spot) │ None │ 2018.00 │ 7823.03 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 13 │ 10.00 │ binance_us │ Binance US │ United States │ 2019.00 │ 7384.36 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 14 │ 10.00 │ gemini │ Gemini │ United States │ 2014.00 │ 2876.09 │ ├──────┼─────────────┼────────────┼─────────────────────┼────────────────────────┼──────────────────┼──────────────────────┤ │ 15 │ 10.00 │ bitkub │ Bitkub │ Thailand │ 2018.00 │ 2163.91 │ └──────┴─────────────┴────────────┴─────────────────────┴────────────────────────┴──────────────────┴──────────────────────┘ "},{"id":335,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cgexrates/","title":"Cgexrates","parent":"Overview","content":"usage: cgexrates [-l N] [-s {Index,Name,Unit,Value,Type}] [--descend] [--export {csv,json,xlsx}] [-h] Shows list of crypto, fiats, commodity exchange rates from CoinGecko You can look on only display N number records with \u0026ndash;limit, You can sort by Index, Name, Unit, Value, Type, and also use \u0026ndash;descend flag to sort descending.\noptional arguments: -l N, --limit N display N number records (default: 15) -s {Index,Name,Unit,Value,Type}, --sort {Index,Name,Unit,Value,Type} Sort by given column. Default: Index (default: Index) --descend Flag to sort in descending order (lowest first) (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:12 (✨) /crypto/ov/ $ cgexrates Exchange Rates ┌───────┬─────────────────────────────┬──────┬────────────┬────────┐ │ Index │ Name │ Unit │ Value │ Type │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 1 │ Bitcoin │ BTC │ 1.00 │ crypto │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 2 │ Ether │ ETH │ 14.20 │ crypto │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 3 │ Litecoin │ LTC │ 337.43 │ crypto │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 4 │ Bitcoin Cash │ BCH │ 130.59 │ crypto │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 5 │ Binance Coin │ BNB │ 103.36 │ crypto │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 6 │ EOS │ EOS │ 17907.80 │ crypto │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 7 │ XRP │ XRP │ 53041.60 │ crypto │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 8 │ Lumens │ XLM │ 201835.99 │ crypto │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 9 │ Chainlink │ LINK │ 2619.11 │ crypto │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 10 │ Polkadot │ DOT │ 2235.39 │ crypto │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 11 │ Yearn.finance │ YFI │ 1.85 │ crypto │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 12 │ US Dollar │ $ │ 44258.09 │ fiat │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 13 │ United Arab Emirates Dirham │ DH │ 162560.27 │ fiat │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 14 │ Argentine Peso │ $ │ 4711797.18 │ fiat │ ├───────┼─────────────────────────────┼──────┼────────────┼────────┤ │ 15 │ Australian Dollar │ A$ │ 61998.28 │ fiat │ └───────┴─────────────────────────────┴──────┴────────────┴────────┘ "},{"id":336,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cgglobal/","title":"Cgglobal","parent":"Overview","content":"usage: cgglobal [--pie] [--export {csv,json,xlsx}] [-h] Shows global statistics about Crypto Market\noptional arguments: --pie Show pie chart with market cap distribution of BTC, ETH, Altcoins --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:13 (✨) /crypto/ov/ $ cgglobal Global Statistics ┌──────────────────────────────────────┬──────────┐ │ Metric │ Value │ ├──────────────────────────────────────┼──────────┤ │ Active Cryptocurrencies │ 12589.00 │ ├──────────────────────────────────────┼──────────┤ │ Upcoming Icos │ 0.00 │ ├──────────────────────────────────────┼──────────┤ │ Ongoing Icos │ 49.00 │ ├──────────────────────────────────────┼──────────┤ │ Ended Icos │ 3376.00 │ ├──────────────────────────────────────┼──────────┤ │ Markets │ 741.00 │ ├──────────────────────────────────────┼──────────┤ │ Market Cap Change Percentage 24H Usd │ 5.08 │ ├──────────────────────────────────────┼──────────┤ │ Btc Market Cap In Pct │ 40.46 │ ├──────────────────────────────────────┼──────────┤ │ Eth Market Cap In Pct │ 17.95 │ ├──────────────────────────────────────┼──────────┤ │ Altcoin Market Cap In Pct │ 41.59 │ └──────────────────────────────────────┴──────────┘ "},{"id":337,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cghold/","title":"Cghold","parent":"Overview","content":"usage: cghold [-c {ethereum,bitcoin}] [--bar] [--export {csv,json,xlsx}] [-h] Shows overview of public companies that holds ethereum or bitcoin. You can find there most important metrics like: Total Bitcoin Holdings, Total Value (USD), Public Companies Bitcoin Dominance, Companies\noptional arguments: -c {ethereum,bitcoin}, --coin {ethereum,bitcoin} companies with ethereum or bitcoin (default: bitcoin) --bar Shows bar chart comparing companies holding {ethereum,bitcoin} --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example\n2022 Feb 15, 08:13 (✨) /crypto/ov/ $ cghold 27 companies hold a total of 217.240 K bitcoin (1.15% of market cap dominance) with the current value of 9.618 B USD dollars Public Companies Holding BTC or ETH ┌─────────────────────────┬──────────────┬─────────┬────────────────┬───────────────────────┬─────────────────────────┬────────────────────────────┐ │ Name │ Symbol │ Country │ Total Holdings │ Total Entry Value Usd │ Total Current Value Usd │ Percentage Of Total Supply │ ├─────────────────────────┼──────────────┼─────────┼────────────────┼───────────────────────┼─────────────────────────┼────────────────────────────┤ │ MicroStrategy Inc. │ NASDAQ:MSTR │ US │ 121.044 K │ 3.574 B │ 5.359 B │ 0.576 │ ├─────────────────────────┼──────────────┼─────────┼────────────────┼───────────────────────┼─────────────────────────┼────────────────────────────┤ │ Tesla │ NASDAQ: TSLA │ US │ 48 K │ 1.500 B │ 2.125 B │ 0.229 │ ├─────────────────────────┼──────────────┼─────────┼────────────────┼───────────────────────┼─────────────────────────┼────────────────────────────┤ │ Galaxy Digital Holdings │ TSE:GLXY │ CA │ 16.402 K │ 134 M │ 726.154 M │ 0.078 │ ├─────────────────────────┼──────────────┼─────────┼────────────────┼───────────────────────┼─────────────────────────┼────────────────────────────┤ │ Square Inc. │ NASDAQ:SQ │ US │ 8.027 K │ 220 M │ 355.374 M │ 0.038 │ ├─────────────────────────┼──────────────┼─────────┼────────────────┼───────────────────────┼─────────────────────────┼────────────────────────────┤ │ Marathon Patent Group │ NASDAQ:MARA │ US │ 4.813 K │ 150 M │ 213.083 M │ 0.023 │ └─────────────────────────┴──────────────┴─────────┴────────────────┴───────────────────────┴─────────────────────────┴────────────────────────────┘ "},{"id":338,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cgindexes/","title":"Cgindexes","parent":"Overview","content":"usage: cgindexes [-l N] [-s {Rank,Name,Id,Market,Last,MultiAsset}] [--descend] [--export {csv,json,xlsx}] [-h] Shows list of crypto indexes from CoinGecko. Each crypto index is made up of a selection of cryptocurrencies, grouped together and weighted by market cap. You can display only N number of indexes with \u0026ndash;limit parameter. You can sort data by Rank, Name, Id, Market, Last, MultiAsset with \u0026ndash;sort and also with \u0026ndash;descend flag to sort descending. Displays: Rank, Name, Id, Market, Last, MultiAsset\noptional arguments: -l N, --limit N display N number records (default: 15) -s {Rank,Name,Id,Market,Last,MultiAsset}, --sort {Rank,Name,Id,Market,Last,MultiAsset} Sort by given column. Default: Rank (default: Rank) --descend Flag to sort in descending order (lowest first) (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:13 (✨) /crypto/ov/ $ cgindexes Crypto Indexes ┌──────┬─────────────────────────────┬────────┬───────────────────────┬───────┬────────────┐ │ Rank │ Name │ Id │ Market │ Last │ MultiAsset │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 1 │ CoinFLEX (Futures) DFN │ DFN │ CoinFLEX (Futures) │ nan │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 2 │ Perpetual Protocol ZIL │ ZIL │ Perpetual Protocol │ 0.11 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 3 │ Bibox (Futures) LINK │ LINK │ Bibox (Futures) │ 0.11 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 4 │ CME Bitcoin Futures BTC │ BTC │ CME Group │ 0.11 │ False │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 5 │ Bibox (Futures) XRP │ XRP │ Bibox (Futures) │ 0.11 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 6 │ Bibox (Futures) AXS │ AXS │ Bibox (Futures) │ 0.11 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 7 │ ZBG Futures BSV │ BSV │ ZBG Futures │ 0.11 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 8 │ MEXC Global (Futures) ATLAS │ ATLAS │ MEXC Global (Futures) │ 4.54 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 9 │ CoinFLEX (Futures) BCHABC │ BCHABC │ CoinFLEX (Futures) │ 0.00 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 10 │ Prime XBT USDC │ USDC │ Prime XBT │ 0.00 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 11 │ Poloniex Futures AXS │ AXS │ Poloniex Futures │ 60.56 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 12 │ Bibox (Futures) ETC │ ETC │ Bibox (Futures) │ 60.56 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 13 │ MyCoinStory SUN │ SUN │ MCS │ 13.41 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 14 │ dYdX │ DYDX │ FTX (Derivatives) │ 7.57 │ None │ ├──────┼─────────────────────────────┼────────┼───────────────────────┼───────┼────────────┤ │ 15 │ Ronin │ RON │ FTX (Derivatives) │ 2.83 │ False │ └──────┴─────────────────────────────┴────────┴───────────────────────┴───────┴────────────┘ "},{"id":339,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cgnews/","title":"Cgnews","parent":"Overview","content":"usage: cgnews [-l N] [-s {Index,Title,Author,Posted}] [--descend] [-l] [--export {csv,json,xlsx}] [-h] Shows latest crypto news from CoinGecko. You will see Index, Title, Author, Posted columns. You can sort by each of column above, using \u0026ndash;sort parameter and also do it descending with \u0026ndash;descend flagTo display urls to news use \u0026ndash;urls flag.\noptional arguments: -l N, --limit N N number of news \u0026gt;=10 (default: 15) -s {Index,Title,Author,Posted}, --sort {Index,Title,Author,Posted} Sort by given column. Default: index (default: Index) --descend Flag to sort in descending order (lowest first) (default: True) -u, --urls Flag to show urls. If you will use that flag you will additional column with urls (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":340,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cgstables/","title":"Cgstables","parent":"Overview","content":"usage: cgstables [-l N] [-s {Rank,Name,Symbol,Price,Change_24h,Exchanges,Market_Cap,Change_30d}] [--export {csv,json,xlsx}] [-h] Shows stablecoins by market capitalization. Stablecoins are cryptocurrencies that attempt to peg their market value to some external reference like the U.S. dollar or to a commodity\u0026rsquo;s price such as gold. You can display only N number of coins with \u0026ndash;limit parameter. You can sort data by Rank, Name, Symbol, Price, Change_24h, Exchanges, Market_Cap, Change_30d with \u0026ndash;sort.\noptional arguments: -l N, --limit N display N number records (default: 15) -s {Rank,Name,Symbol,Price,Change_24h,Exchanges,Market_Cap,Change_30d}, --sort {Rank,Name,Symbol,Price,Change_24h,Exchanges,Market_Cap,Change_30d} Sort by given column. Default: Rank (default: Rank) --pie displays market cap distribution across stablecoins --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:16 (✨) /crypto/ov/ $ cgstables First 15 stablecoins have a total 182.582 B dollars of market cap. Stablecoin Data ┌─────────┬──────────────────────┬───────────┬────────────────┬─────────────────┬────────────────┬───────────────┬────────────┬──────────────────────────┐ │ Symbol │ Name │ Price [$] │ Market Cap [$] │ Market Cap Rank │ Change 24h [%] │ Change 7d [%] │ Volume [$] │ Percentage [%] of top 15 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ usdt │ Tether │ 1.001 │ 78.556 B │ 3 │ -0.014 │ -0.063 │ 43.035 B │ 43.025 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ usdc │ USD Coin │ 1 │ 52.519 B │ 5 │ 0.120 │ -0.052 │ 2.976 B │ 28.765 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ busd │ Binance USD │ 1.001 │ 17.557 B │ 13 │ 0.041 │ -0.105 │ 3.124 B │ 9.616 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ ust │ TerraUSD │ 1.001 │ 11.616 B │ 17 │ 0.132 │ -0.053 │ 318.818 M │ 6.362 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ dai │ Dai │ 1.001 │ 9.820 B │ 19 │ 0.069 │ 0.059 │ 237.136 M │ 5.378 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ mim │ Magic Internet Money │ 1.001 │ 2.788 B │ 51 │ 0.419 │ 0.107 │ 42.304 M │ 1.527 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ frax │ Frax │ 1.001 │ 2.660 B │ 53 │ 0.553 │ -0.490 │ 25.748 M │ 1.457 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ tusd │ TrueUSD │ 1.001 │ 1.487 B │ 80 │ 0.014 │ 0.017 │ 92.185 M │ 0.814 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ usdp │ Pax Dollar │ 1.001 │ 1.034 B │ 100 │ -0.164 │ -0.003 │ 13.857 M │ 0.566 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ fei │ Fei USD │ 1.002 │ 556.435 M │ 147 │ 0.248 │ -0.048 │ 14.805 M │ 0.305 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ lusd │ Liquity USD │ 1.010 │ 498.292 M │ 159 │ 0.210 │ 0.038 │ 6.557 M │ 0.273 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ usdn │ Neutrino USD │ 0.999 │ 443.663 M │ 169 │ 1.023 │ 0.073 │ 11.068 M │ 0.243 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ xaut │ Tether Gold │ 1.851 K │ 418.617 M │ 173 │ 2.029 │ -0.250 │ 4.853 M │ 0.229 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ mimatic │ MAI │ 0.999 │ 264.095 M │ 235 │ 0.043 │ 0.085 │ 3.754 M │ 0.145 │ ├─────────┼──────────────────────┼───────────┼────────────────┼─────────────────┼────────────────┼───────────────┼────────────┼──────────────────────────┤ │ husd │ HUSD │ 1.005 │ 263.061 M │ 236 │ 0.686 │ 0.524 │ 35.886 M │ 0.144 │ └─────────┴──────────────────────┴───────────┴────────────────┴─────────────────┴────────────────┴───────────────┴────────────┴──────────────────────────┘ "},{"id":341,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/ch/","title":"Ch","parent":"Overview","content":"usage: ch [-l N] [-s {Platform,Date,Amount [$],Audit,Slug,URL}] [--descend] [-h] [--export {csv,json,xlsx}] Display list of major crypto-related hacks [Source: https://rekt.news] Can be sorted by {Platform,Date,Amount [$],Audit,Slug,URL} with \u0026ndash;sort and reverse the display order with \u0026ndash;descend Show only N elements with \u0026ndash;limit N Accepts \u0026ndash;slug or -s to check individual crypto hack (e.g., -s polynetwork-rekt)\noptional arguments: -s SLUG, --slug SLUG Rekt news slug to check (e.g., polynetwork-rekt) -l N, --limit N display N number records (default: 15) --sort {Platform,Date,Amount [$],Audit,Slug,URL} Sort by given column. Default: Amount [$] --descend Flag to sort in descending order (lowest first) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 08:16 (✨) /crypto/ov/ $ ch Major Crypto Hacks ┌────────────────────────┬────────────┬────────────┬────────────────────────┬────────────────────┬───────────────────────────────────────┐ │ Platform │ Date │ Amount [$] │ Audit │ Slug │ URL │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ Poly Network - REKT │ 2021-08-10 │ 611 M │ Unaudited │ polynetwork-rekt │ https://rekt.news/polynetwork-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ Wormhole - REKT │ 2022-02-02 │ 326 M │ Neodyme │ wormhole-rekt │ https://rekt.news/wormhole-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ BitMart - REKT │ 2021-12-04 │ 196 M │ N/A │ bitmart-rekt │ https://rekt.news/bitmart-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ Compound - REKT │ 2021-09-29 │ 147 M │ Unaudited │ compound-rekt │ https://rekt.news/compound-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ Vulcan Forged - REKT │ 2021-12-13 │ 140 M │ Unaudited │ vulcan-forged-rekt │ https://rekt.news/vulcan-forged-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ Cream Finance - REKT 2 │ 2021-10-27 │ 130 M │ Unaudited │ cream-rekt-2 │ https://rekt.news/cream-rekt-2/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ Badger - REKT │ 2021-12-02 │ 120 M │ Unaudited │ badger-rekt │ https://rekt.news/badger-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ Qubit Finance - REKT │ 2022-01-28 │ 80 M │ Unaudited │ qubit-rekt │ https://rekt.news/qubit-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ Ascendex - REKT │ 2021-12-12 │ 77.700 M │ Unaudited │ ascendex-rekt │ https://rekt.news/ascendex-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ EasyFi - REKT │ 2021-04-19 │ 59 M │ Unaudited │ easyfi-rekt │ https://rekt.news/easyfi-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ Uranium Finance - REKT │ 2021-04-28 │ 57.200 M │ Unaudited │ uranium-rekt │ https://rekt.news/uranium-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ bZx - REKT │ 2021-11-05 │ 55 M │ Unaudited │ bzx-rekt │ https://rekt.news/bzx-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ PancakeBunny - REKT │ 2021-05-19 │ 45 M │ Unaudited │ pancakebunny-rekt │ https://rekt.news/pancakebunny-rekt/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ Kucoin - REKT │ 2020-09-29 │ 45 M │ Internal audit │ epic-hack-homie │ https://rekt.news/epic-hack-homie/ │ ├────────────────────────┼────────────┼────────────┼────────────────────────┼────────────────────┼───────────────────────────────────────┤ │ Alpha Finance - REKT │ 2021-02-13 │ 37.500 M │ Quantstamp, Peckshield │ alpha-finance-rekt │ https://rekt.news/alpha-finance-rekt/ │ └────────────────────────┴────────────┴────────────┴────────────────────────┴────────────────────┴───────────────────────────────────────┘ "},{"id":342,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cpcontracts/","title":"Cpcontracts","parent":"Overview","content":"usage: cpcontracts [-p {btc-bitcoin,eos-eos,eth-ethereum,xrp-xrp,bch-bitcoin-cash,xem-nem,neo-neo,xlm-stellar,etc-ethereum-classic,qtum-qtum,zec-zcash,bts-bitshares,waves-waves,nxt-nxt,act-achain,ubq-ubiq,xcp-counterparty,etp-metaverse-etp,burst-burst,omni-omni,trx-tron,bnb-binance-coin,ardr-ardor,ht-huobi-token,blvr-believer,cake-pancakeswap,fsxu-flashx-ultra,chik-chickenkebab-finance,jgn-juggernaut7492,crx-cryptex,whirl-whirl-finance,eubi-eubi-token,swam-swapmatic-token,shells-shells}] [-l N] [-s {id,type,active,address}] [--descend] [--export {csv,json,xlsx}] [-h] Gets all contract addresses for given platform. Provide platform id with -p/\u0026ndash;platform parameter You can display only N number of smart contracts with \u0026ndash;limit parameter. You can sort data by id, type, active, address \u0026ndash;sort parameter and also with \u0026ndash;descend flag to sort descending. Displays: id, type, active, address\noptional arguments: -p {btc-bitcoin,eos-eos,eth-ethereum,xrp-xrp,bch-bitcoin-cash,xem-nem,neo-neo,xlm-stellar,etc-ethereum-classic,qtum-qtum,zec-zcash,bts-bitshares,waves-waves,nxt-nxt,act-achain,ubq-ubiq,xcp-counterparty,etp-metaverse-etp,burst-burst,omni-omni,trx-tron,bnb-binance-coin,ardr-ardor,ht-huobi-token,blvr-believer,cake-pancakeswap,fsxu-flashx-ultra,chik-chickenkebab-finance,jgn-juggernaut7492,crx-cryptex,whirl-whirl-finance,eubi-eubi-token,swam-swapmatic-token,shells-shells}, --platform {btc-bitcoin,eos-eos,eth-ethereum,xrp-xrp,bch-bitcoin-cash,xem-nem,neo-neo,xlm-stellar,etc-ethereum-classic,qtum-qtum,zec-zcash,bts-bitshares,waves-waves,nxt-nxt,act-achain,ubq-ubiq,xcp-counterparty,etp-metaverse-etp,burst-burst,omni-omni,trx-tron,bnb-binance-coin,ardr-ardor,ht-huobi-token,blvr-believer,cake-pancakeswap,fsxu-flashx-ultra,chik-chickenkebab-finance,jgn-juggernaut7492,crx-cryptex,whirl-whirl-finance,eubi-eubi-token,swam-swapmatic-token,shells-shells} Blockchain platform like eth-ethereum (default: eth-ethereum) -l N, --limit N Limit of records (default: 15) -s {id,type,active,address}, --sort {id,type,active,address} Sort by given column (default: id) --descend Flag to sort in descending order (lowest first) (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:16 (✨) /crypto/ov/ $ cpcontracts Contract Addresses ┌────────────────────────────────────────────────────┬───────┬────────┐ │ id │ type │ active │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ - │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ -dogeinu │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ -exotix │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ -onlychads │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ -pcore │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ -the-ether-collection │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ 0175-geely-automobile │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ 0241-alibaba-health-information-technology-limited │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ 0347-angang-steel │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ 0358-jiangxi-copper │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ 0522-asm-pacific-technology-limited │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ 0728-china-telecom │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ 0753-air-china │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ 0857-petrochina │ ERC20 │ True │ ├────────────────────────────────────────────────────┼───────┼────────┤ │ 0916-china-longyuan-power │ ERC20 │ True │ └────────────────────────────────────────────────────┴───────┴────────┘ "},{"id":343,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cpexchanges/","title":"Cpexchanges","parent":"Overview","content":"usage: cpexchanges [--vs {BTC,ETH,USD,EUR,PLN,KRW,GBP,CAD,JPY,RUB,TRY,NZD,AUD,CHF,UAH,HKD,SGD,NGN,PHP,MXN,BRL,THB,CLP,CNY,CZK,DKK,HUF,IDR,ILS,INR,MYR,NOK,PKR,SEK,TWD,ZAR,VND,BOB,COP,PEN,ARS,ISK}] [-l N] [-s {rank,name,currencies,markets,fiats,confidence,volume_24h,volume_7d,volume_30d,sessions_per_month}] [--descend] [--export {csv,json,xlsx}] [-h] Show all exchanges from CoinPaprika You can display only N number of coins with \u0026ndash;limit parameter. You can sort data by rank, name, currencies, markets, fiats, confidence, volume_24h,volume_7d ,volume_30d, sessions_per_month \u0026ndash;sort parameter and also with \u0026ndash;descend flag to sort descending. Displays: rank, name, currencies, markets, fiats, confidence, volume_24h, volume_7d ,volume_30d, sessions_per_month\noptional arguments: --vs {BTC,ETH,USD,EUR,PLN,KRW,GBP,CAD,JPY,RUB,TRY,NZD,AUD,CHF,UAH,HKD,SGD,NGN,PHP,MXN,BRL,THB,CLP,CNY,CZK,DKK,HUF,IDR,ILS,INR,MYR,NOK,PKR,SEK,TWD,ZAR,VND,BOB,COP,PEN,ARS,ISK} Quoted currency. Default USD (default: USD) -l N, --limit N Limit of records (default: 20) -s {rank,name,currencies,markets,fiats,confidence,volume_24h,volume_7d,volume_30d,sessions_per_month}, --sort {rank,name,currencies,markets,fiats,confidence,volume_24h,volume_7d,volume_30d,sessions_per_month} Sort by given column. Default: rank (default: rank) --descend Flag to sort in descending order (lowest first) (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:17 (✨) /crypto/ov/ $ cpexchanges Displaying data vs USD List Exchanges ┌───────┬──────────────────────┬────────────────────────┬────────────┬─────────┬───────┬────────────┬────────────┬───────────┬────────────┬────────────────────┐ │ rank │ id │ name │ currencies │ markets │ fiats │ confidence │ volume_24h │ volume_7d │ volume_30d │ sessions_per_month │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 1.00 │ qb │ QB │ 19 │ 21 │ 0 │ 0 │ 284.995 B │ 204.862 B │ 213.886 B │ nan │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 2.00 │ binance │ Binance │ 284 │ 1.102 K │ 7 │ 0.901 │ 12.381 B │ 99.117 B │ 432.208 B │ 589.300 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 3.00 │ zbg │ ZBG │ 33 │ 45 │ 0 │ 0.001 │ 6.154 B │ 47.755 B │ 151.008 B │ 2.900 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 4.00 │ bitenium │ Bitenium │ 29 │ 28 │ 0 │ 0 │ 4.097 B │ 28.087 B │ 125.577 B │ nan │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 5.00 │ cex │ CEX │ 6 │ 10 │ 0 │ 0 │ 3.412 B │ 23.172 B │ 102.418 B │ nan │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 6.00 │ dodo-polygon-network │ DODO (Polygon Network) │ 9 │ 50 │ 0 │ 0.001 │ 3.117 B │ 20.532 B │ 85.686 B │ 3.510 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 7.00 │ indoex │ Indoex │ 34 │ 106 │ 2 │ 0.051 │ 3.088 B │ 19.761 B │ 79.337 B │ 3.300 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 8.00 │ coinbase │ Coinbase │ 96 │ 268 │ 3 │ 0.830 │ 2.618 B │ 19.670 B │ 97.689 B │ 89.700 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 9.00 │ hitbtc │ HitBTC │ 379 │ 885 │ 0 │ 0.743 │ 2.519 B │ 18.850 B │ 94.506 B │ 6.720 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 10.00 │ cryptocom-exchange │ Crypto.com Exchange │ 19 │ 40 │ 0 │ 0.087 │ 2.410 B │ 19.586 B │ 77.585 B │ 43.400 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 11.00 │ okx │ OKX │ 156 │ 294 │ 0 │ 0.284 │ 2.380 B │ 20.775 B │ 106.027 B │ 2.100 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 12.00 │ kucoin │ Kucoin │ 326 │ 654 │ 0 │ 0.242 │ 1.713 B │ 11.504 B │ 57.246 B │ 41.900 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 13.00 │ upbit │ Upbit │ 111 │ 194 │ 1 │ 0.344 │ 1.655 B │ 14.377 B │ 51.675 B │ 35.500 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 14.00 │ ftx │ FTX (Spot) │ 82 │ 131 │ 1 │ 0.398 │ 1.588 B │ 11.220 B │ 55.858 B │ 35.900 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 15.00 │ uniswap-v3 │ Uniswap V3 │ 204 │ 448 │ 0 │ 0.005 │ 1.572 B │ 7.433 B │ 36.652 B │ 13.500 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 16.00 │ fmfwio │ FMFW.io │ 33 │ 75 │ 1 │ 0.001 │ 1.374 B │ 9.770 B │ 44.991 B │ 150 K │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 17.00 │ huobi │ Huobi │ 302 │ 722 │ 0 │ 0.291 │ 1.351 B │ 10.525 B │ 50.523 B │ 30 K │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 18.00 │ bitrue │ Bitrue │ 154 │ 272 │ 0 │ 0.116 │ 1.189 B │ 8.944 B │ 34.697 B │ 10.100 M │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 19.00 │ gleec-btc-exchange │ Gleec BTC Exchange │ 4 │ 7 │ 1 │ 0.000 │ 1.179 B │ 8.104 B │ 36.600 B │ 10 K │ ├───────┼──────────────────────┼────────────────────────┼────────────┼─────────┼───────┼────────────┼────────────┼───────────┼────────────┼────────────────────┤ │ 20.00 │ digifinex │ DigiFinex │ 101 │ 149 │ 0 │ 0.857 │ 906.444 M │ 7.699 B │ 36.533 B │ 359 M │ └───────┴──────────────────────┴────────────────────────┴────────────┴─────────┴───────┴────────────┴────────────┴───────────┴────────────┴────────────────────┘ "},{"id":344,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cpexmarkets/","title":"Cpexmarkets","parent":"Overview","content":"usage: cpexmarkets [-e EXCHANGE] [-l N] [-s {pair,base_currency_name,quote_currency_name,category,reported_volume_24h_share,trust_score,market_url}] [--descend] [-l] [--export {csv,json,xlsx}] [-h] Get all exchange markets found for given exchange You can display only display N number records with \u0026ndash;limit parameter. You can sort data by pair, base_currency_name, quote_currency_name, market_url, category, reported_volume_24h_share, trust_score \u0026ndash;sort parameter and also with \u0026ndash;descend flag to sort descending. You can use additional flag \u0026ndash;urls to see urls for each market Displays: exchange_id, pair, base_currency_name, quote_currency_name, market_url, category, reported_volume_24h_share, trust_score,\noptional arguments: -e EXCHANGE, --exchange EXCHANGE Identifier of exchange e.g for Binance Exchange -\u0026gt; binance (default: binance) -l N, --limit N Limit of records (default: 10) -s {pair,base_currency_name,quote_currency_name,category,reported_volume_24h_share,trust_score,market_url}, --sort {pair,base_currency_name,quote_currency_name,category,reported_volume_24h_share,trust_score,market_url} Sort by given column. Default: reported_volume_24h_share (default: reported_volume_24h_share) --descend Flag to sort in descending order (lowest first) (default: False) -u, --urls Flag to show urls. If you will use that flag you will see only: exchange, pair, trust_score, market_url columns (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:18 (✨) /crypto/ov/ $ cpexmarkets Exchange Markets ┌─────────────┬───────────┬────────────────────┬─────────────────────┬──────────┬───────────────────────────┬─────────────┐ │ exchange_id │ pair │ base_currency_name │ quote_currency_name │ category │ reported_volume_24h_share │ trust_score │ ├─────────────┼───────────┼────────────────────┼─────────────────────┼──────────┼───────────────────────────┼─────────────┤ │ binance │ BTC/USDT │ Bitcoin │ Tether │ Spot │ 14.25 │ high │ ├─────────────┼───────────┼────────────────────┼─────────────────────┼──────────┼───────────────────────────┼─────────────┤ │ binance │ ETH/USDT │ Ethereum │ Tether │ Spot │ 11.87 │ high │ ├─────────────┼───────────┼────────────────────┼─────────────────────┼──────────┼───────────────────────────┼─────────────┤ │ binance │ BTC/BUSD │ Bitcoin │ Binance USD │ Spot │ 4.44 │ high │ ├─────────────┼───────────┼────────────────────┼─────────────────────┼──────────┼───────────────────────────┼─────────────┤ │ binance │ BNB/USDT │ Binance Coin │ Tether │ Spot │ 3.58 │ medium │ ├─────────────┼───────────┼────────────────────┼─────────────────────┼──────────┼───────────────────────────┼─────────────┤ │ binance │ BUSD/USDT │ Binance USD │ Tether │ Spot │ 3.54 │ high │ ├─────────────┼───────────┼────────────────────┼─────────────────────┼──────────┼───────────────────────────┼─────────────┤ │ binance │ ETH/BUSD │ Ethereum │ Binance USD │ Spot │ 2.97 │ high │ ├─────────────┼───────────┼────────────────────┼─────────────────────┼──────────┼───────────────────────────┼─────────────┤ │ binance │ SLP/USDT │ Smooth Love Potion │ Tether │ Spot │ 2.86 │ medium │ ├─────────────┼───────────┼────────────────────┼─────────────────────┼──────────┼───────────────────────────┼─────────────┤ │ binance │ SHIB/USDT │ Shiba Inu │ Tether │ Spot │ 2.41 │ high │ ├─────────────┼───────────┼────────────────────┼─────────────────────┼──────────┼───────────────────────────┼─────────────┤ │ binance │ XRP/USDT │ XRP │ Tether │ Spot │ 2.01 │ high │ ├─────────────┼───────────┼────────────────────┼─────────────────────┼──────────┼───────────────────────────┼─────────────┤ │ binance │ SOL/USDT │ Solana │ Tether │ Spot │ 1.95 │ high │ └─────────────┴───────────┴────────────────────┴─────────────────────┴──────────┴───────────────────────────┴─────────────┘ "},{"id":345,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cpglobal/","title":"Cpglobal","parent":"Overview","content":"usage: cpglobal [--export {csv,json,xlsx}] [-h] Show most important global crypto statistics like: Market Cap, Volume, Number of cryptocurrencies, All Time High, All Time Low\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:18 (✨) /crypto/ov/ $ cpglobal Parser must be a string or character stream, not datetime Global Crypto Statistics ┌──────────────────────────────┬─────────────────────┐ │ Metric │ Value │ ├──────────────────────────────┼─────────────────────┤ │ market_cap_usd │ 2.048 T │ ├──────────────────────────────┼─────────────────────┤ │ volume_24h_usd │ 1.086 T │ ├──────────────────────────────┼─────────────────────┤ │ bitcoin_dominance_percentage │ 41.010 │ ├──────────────────────────────┼─────────────────────┤ │ cryptocurrencies_number │ 10.114 K │ ├──────────────────────────────┼─────────────────────┤ │ market_cap_ath_value │ 3.629 T │ ├──────────────────────────────┼─────────────────────┤ │ market_cap_ath_date │ 2021-10-27 07:40:00 │ ├──────────────────────────────┼─────────────────────┤ │ volume_24h_ath_value │ 1.388 T │ ├──────────────────────────────┼─────────────────────┤ │ volume_24h_ath_date │ 2021-05-02 17:00:00 │ ├──────────────────────────────┼─────────────────────┤ │ volume_24h_percent_from_ath │ -21.790 │ ├──────────────────────────────┼─────────────────────┤ │ volume_24h_percent_to_ath │ 27.860 │ ├──────────────────────────────┼─────────────────────┤ │ market_cap_change_24h │ 4.480 │ ├──────────────────────────────┼─────────────────────┤ │ volume_24h_change_24h │ 2.050 │ ├──────────────────────────────┼─────────────────────┤ │ last_updated │ 2022-02-15 14:18:22 │ └──────────────────────────────┴─────────────────────┘ "},{"id":346,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cpinfo/","title":"Cpinfo","parent":"Overview","content":"usage: cpinfo [--vs {BTC,ETH,USD,EUR,PLN,KRW,GBP,CAD,JPY,RUB,TRY,NZD,AUD,CHF,UAH,HKD,SGD,NGN,PHP,MXN,BRL,THB,CLP,CNY,CZK,DKK,HUF,IDR,ILS,INR,MYR,NOK,PKR,SEK,TWD,ZAR,VND,BOB,COP,PEN,ARS,ISK}] [-l N] [-s {rank,name,symbol,price,volume_24h,circulating_supply,total_supply,max_supply,ath_price,market_cap,beta_value}] [--descend] [--export {csv,json,xlsx}] [-h] Show basic coin information for all coins from CoinPaprika API You can display only N number of coins with \u0026ndash;limit parameter. You can sort data by rank, name, symbol, price, volume_24h, circulating_supply, total_supply, max_supply, market_cap, beta_value, ath_price \u0026ndash;sort parameter and also with \u0026ndash;descend flag to sort descending. Displays: rank, name, symbol, price, volume_24h, circulating_supply, total_supply, max_supply, market_cap, beta_value, ath_price\noptional arguments: --vs {BTC,ETH,USD,EUR,PLN,KRW,GBP,CAD,JPY,RUB,TRY,NZD,AUD,CHF,UAH,HKD,SGD,NGN,PHP,MXN,BRL,THB,CLP,CNY,CZK,DKK,HUF,IDR,ILS,INR,MYR,NOK,PKR,SEK,TWD,ZAR,VND,BOB,COP,PEN,ARS,ISK} Quoted currency. Default USD (default: USD) -l N, --limit N Limit of records (default: 20) -s {rank,name,symbol,price,volume_24h,circulating_supply,total_supply,max_supply,ath_price,market_cap,beta_value}, --sort {rank,name,symbol,price,volume_24h,circulating_supply,total_supply,max_supply,ath_price,market_cap,beta_value} Sort by given column. Default: rank (default: rank) --descend Flag to sort in descending order (lowest first) (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:18 (✨) /crypto/ov/ $ cpinfo Displaying data vs USD Basic Coin Information ┌──────┬───────────────────────────┬────────────┬────────┬────────────┬────────────────────┬──────────────┬────────────┬────────────┬────────────┬───────────┐ │ rank │ name │ symbol │ price │ volume_24h │ circulating_supply │ total_supply │ max_supply │ market_cap │ beta_value │ ath_price │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ ZcCoin │ ZCC │ 0.004 │ 1.249 K │ 0 │ 0 │ 0 │ 0 │ 0.222 │ 0.014 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Icolcoin │ ICOL │ 0.011 │ 0.000 │ 0 │ 20.234 M │ 0 │ 0 │ -0.090 │ 1.099 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Poodle Dog Coin │ POODLE DOG │ 0.000 │ 635.137 │ 0 │ 0 │ 0 │ 0 │ 0 │ nan │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ REDANCOIN │ REDAN │ 0.006 │ 396.232 │ 0 │ 0 │ 0 │ 0 │ 0.967 │ 0.017 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Fado Go │ FADO │ 0.010 │ 10.257 M │ 0 │ 1 B │ 0 │ 0 │ 9.635 │ 0.021 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ OK Fly │ OKFLY │ 0.000 │ 178.900 │ 0 │ 0 │ 0 │ 0 │ 1.004 │ 0.000 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Leonardo SPA │ LDO │ 7.623 │ 53.360 │ 0 │ 0 │ 426.388 K │ 650.063 K │ 0.040 │ 8.860 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ HappyDoge │ HAPPYDOGE │ 0.000 │ 56.544 │ 0 │ 0 │ 0 │ 0 │ 2.840 │ 0.000 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Hyper DAO │ HDAO │ 0.030 │ 4.797 │ 0 │ 0 │ 0 │ 0 │ 0.021 │ 0.031 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ SweetGirl │ SWTG │ 0.001 │ 16.067 │ 0 │ 0 │ 0 │ 0 │ 1.435 │ 0.001 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Gaj Finance │ GAJ │ 0.047 │ 598.888 │ 1.941 M │ 1.941 M │ 0 │ 90.617 K │ 1.357 │ 0.568 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Noachis Terra │ NTT │ 0.000 │ 1.263 │ 0 │ 0 │ 0 │ 0 │ -2.052 │ 0.000 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Connect Coin │ XCON │ 0.000 │ 25.370 │ 38.997 M │ 70 M │ 0 │ 10.359 K │ 0.863 │ 0.696 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ ECOSCU │ ECU │ 0.003 │ 21.205 │ 0 │ 0 │ 0 │ 0 │ 1.376 │ 0.004 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Under Armour Cl A │ UAA │ 17.190 │ 429.750 │ 0 │ 236.518 K │ 236.518 K │ 0 │ 0.181 │ 27.140 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Multiplier │ MXX │ 0.007 │ 902.638 │ 137.665 M │ 186.586 M │ 0 │ 946.127 K │ 0.793 │ 0.014 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ SmartPad │ PAD │ 0.017 │ 4.454 K │ 0 │ 1 B │ 0 │ 0 │ 1.159 │ 0.043 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Home Coin │ HOME │ 0.000 │ 23.056 │ 0 │ 0 │ 0 │ 0 │ 0.853 │ 0.000 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Teva Pharma Ind Adr Rep 1 │ TEVA │ 8.455 │ 8.455 │ 0 │ 317.460 K │ 317.460 K │ 0 │ 0.101 │ 13.210 │ ├──────┼───────────────────────────┼────────────┼────────┼────────────┼────────────────────┼──────────────┼────────────┼────────────┼────────────┼───────────┤ │ 0 │ Virtual Quest Room Coin │ VQR │ 0.010 │ 0.965 │ 0 │ 567.838 K │ 52.560 M │ 0 │ 1.417 │ 0.055 │ └──────┴───────────────────────────┴────────────┴────────┴────────────┴────────────────────┴──────────────┴────────────┴────────────┴────────────┴───────────┘ "},{"id":347,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cpmarkets/","title":"Cpmarkets","parent":"Overview","content":"usage: cpmarkets [--vs {BTC,ETH,USD,EUR,PLN,KRW,GBP,CAD,JPY,RUB,TRY,NZD,AUD,CHF,UAH,HKD,SGD,NGN,PHP,MXN,BRL,THB,CLP,CNY,CZK,DKK,HUF,IDR,ILS,INR,MYR,NOK,PKR,SEK,TWD,ZAR,VND,BOB,COP,PEN,ARS,ISK}] [-l N] [-s {rank,name,symbol,price,volume_24h,mcap_change_24h,pct_change_1h,pct_change_24h,ath_price,pct_from_ath}] [--descend] [--export {csv,json,xlsx}] [-h] Show market related (price, supply, volume) coin information for all coins on CoinPaprika. You can display only N number of coins with \u0026ndash;limit parameter. You can sort data by rank, name, symbol, price, volume_24h, mcap_change_24h, pct_change_1h, pct_change_24h, ath_price, pct_from_ath, \u0026ndash;sort parameter and also with \u0026ndash;descend flag to sort descending. Displays: rank, name, symbol, price, volume_24h, mcap_change_24h, pct_change_1h, pct_change_24h, ath_price, pct_from_ath,\noptional arguments: --vs {BTC,ETH,USD,EUR,PLN,KRW,GBP,CAD,JPY,RUB,TRY,NZD,AUD,CHF,UAH,HKD,SGD,NGN,PHP,MXN,BRL,THB,CLP,CNY,CZK,DKK,HUF,IDR,ILS,INR,MYR,NOK,PKR,SEK,TWD,ZAR,VND,BOB,COP,PEN,ARS,ISK} Quoted currency. Default USD (default: USD) -l N, --limit N Limit of records (default: 15) -s {rank,name,symbol,price,volume_24h,mcap_change_24h,pct_change_1h,pct_change_24h,ath_price,pct_from_ath}, --sort {rank,name,symbol,price,volume_24h,mcap_change_24h,pct_change_1h,pct_change_24h,ath_price,pct_from_ath} Sort by given column. Default: rank (default: rank) --descend Flag to sort in descending order (lowest first) (default: True) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:19 (✨) /crypto/ov/ $ cpmarkets Displaying data vs USD Basic Market Information ┌──────┬───────────────────┬────────────┬────────┬────────────┬─────────────────┬───────────────┬────────────────┬───────────┬──────────────┐ │ rank │ name │ symbol │ price │ volume_24h │ mcap_change_24h │ pct_change_1h │ pct_change_24h │ ath_price │ pct_from_ath │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ ZcCoin │ ZCC │ 0.004 │ 1.249 K │ 0 │ -0.230 │ -1.290 │ 0.014 │ -72.510 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ Icolcoin │ ICOL │ 0.011 │ 0.000 │ 0 │ -0.040 │ 3.100 │ 1.099 │ -98.990 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ Poodle Dog Coin │ POODLE DOG │ 0.000 │ 635.137 │ 0 │ 0 │ 0 │ nan │ nan │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ REDANCOIN │ REDAN │ 0.006 │ 396.232 │ 0 │ -0.040 │ 4.110 │ 0.017 │ -66.030 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ Fado Go │ FADO │ 0.010 │ 10.257 M │ 0 │ 1.250 │ -25.140 │ 0.021 │ -49.900 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ OK Fly │ OKFLY │ 0.000 │ 178.900 │ 0 │ -0.340 │ 0.540 │ 0.000 │ -6.600 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ Leonardo SPA │ LDO │ 7.623 │ 53.360 │ 0 │ -0.260 │ -0.180 │ 8.860 │ -13.930 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ HappyDoge │ HAPPYDOGE │ 0.000 │ 56.544 │ 0 │ -0.210 │ -5 │ 0.000 │ -23.840 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ Hyper DAO │ HDAO │ 0.030 │ 4.797 │ 0 │ -0.230 │ -0.130 │ 0.031 │ -2.500 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ SweetGirl │ SWTG │ 0.001 │ 16.067 │ 0 │ -0.210 │ 6.340 │ 0.001 │ -1 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ Gaj Finance │ GAJ │ 0.047 │ 598.888 │ 5.090 │ 0.280 │ 5.090 │ 0.568 │ -91.780 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ Noachis Terra │ NTT │ 0.000 │ 1.263 │ 0 │ -0.210 │ 6.250 │ 0.000 │ -85.260 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ Connect Coin │ XCON │ 0.000 │ 25.370 │ -2.620 │ -0.040 │ -2.620 │ 0.696 │ -99.960 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ ECOSCU │ ECU │ 0.003 │ 21.205 │ 0 │ -0.210 │ 1.680 │ 0.004 │ -23.090 │ ├──────┼───────────────────┼────────────┼────────┼────────────┼─────────────────┼───────────────┼────────────────┼───────────┼──────────────┤ │ 0 │ Under Armour Cl A │ UAA │ 17.190 │ 429.750 │ 0 │ 0 │ -1.770 │ 27.140 │ -36.660 │ └──────┴───────────────────┴────────────┴────────┴────────────┴─────────────────┴───────────────┴────────────────┴───────────┴──────────────┘ "},{"id":348,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cpplatforms/","title":"Cpplatforms","parent":"Overview","content":"usage: cpplatforms [--export {csv,json,xlsx}] [-h] List all smart contract platforms like ethereum, solana, cosmos, polkadot, kusama\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:19 (✨) /crypto/ov/ $ cpplatforms Smart Contract Platforms ┌───────┬───────────────────────────┐ │ index │ platform_id │ ├───────┼───────────────────────────┤ │ 1 │ btc-bitcoin │ ├───────┼───────────────────────────┤ │ 2 │ eos-eos │ ├───────┼───────────────────────────┤ │ 3 │ eth-ethereum │ ├───────┼───────────────────────────┤ │ 4 │ xrp-xrp │ ├───────┼───────────────────────────┤ │ 5 │ bch-bitcoin-cash │ ├───────┼───────────────────────────┤ │ 6 │ xem-nem │ ├───────┼───────────────────────────┤ │ 7 │ neo-neo │ ├───────┼───────────────────────────┤ │ 8 │ xlm-stellar │ ├───────┼───────────────────────────┤ │ 9 │ etc-ethereum-classic │ ├───────┼───────────────────────────┤ │ 10 │ qtum-qtum │ ├───────┼───────────────────────────┤ │ 11 │ zec-zcash │ ├───────┼───────────────────────────┤ │ 12 │ vet-vechain │ ├───────┼───────────────────────────┤ │ 13 │ bts-bitshares │ ├───────┼───────────────────────────┤ │ 14 │ waves-waves │ ├───────┼───────────────────────────┤ │ 15 │ nxt-nxt │ ├───────┼───────────────────────────┤ │ 16 │ act-achain │ ├───────┼───────────────────────────┤ │ 17 │ ubq-ubiq │ ├───────┼───────────────────────────┤ │ 18 │ xcp-counterparty │ ├───────┼───────────────────────────┤ │ 19 │ html-htmlcoin │ ├───────┼───────────────────────────┤ │ 20 │ etp-metaverse-etp │ ├───────┼───────────────────────────┤ │ 21 │ signa-signa │ ├───────┼───────────────────────────┤ │ 22 │ omni-omni │ ├───────┼───────────────────────────┤ │ 23 │ trx-tron │ ├───────┼───────────────────────────┤ │ 24 │ bnb-binance-coin │ ├───────┼───────────────────────────┤ │ 25 │ ardr-ardor │ ├───────┼───────────────────────────┤ │ 26 │ ht-huobi-token │ ├───────┼───────────────────────────┤ │ 27 │ ftm-fantom │ ├───────┼───────────────────────────┤ │ 28 │ matic-polygon │ ├───────┼───────────────────────────┤ │ 29 │ avax-avalanche │ ├───────┼───────────────────────────┤ │ 30 │ sol-solana │ ├───────┼───────────────────────────┤ │ 31 │ blvr-believer │ ├───────┼───────────────────────────┤ │ 32 │ cake-pancakeswap │ ├───────┼───────────────────────────┤ │ 33 │ fsxu-flashx-ultra │ ├───────┼───────────────────────────┤ │ 34 │ chik-chickenkebab-finance │ ├───────┼───────────────────────────┤ │ 35 │ jgn-juggernaut7492 │ ├───────┼───────────────────────────┤ │ 36 │ crx-cryptex │ ├───────┼───────────────────────────┤ │ 37 │ whirl-whirl-finance │ ├───────┼───────────────────────────┤ │ 38 │ eubi-eubi-token │ ├───────┼───────────────────────────┤ │ 39 │ swam-swapmatic-token │ ├───────┼───────────────────────────┤ │ 40 │ shells-shells │ ├───────┼───────────────────────────┤ │ 41 │ slx-solex-finance │ └───────┴───────────────────────────┘ "},{"id":349,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/cr/","title":"Cr","parent":"Overview","content":"usage: cr [-t {borrow,supply}] [-c CRYPTOCURRENCIES] [-p PLATFORMS] [-h] [--export EXPORT] [-l LIMIT]\nDisplays crypto {borrow,supply} interest rates for cryptocurrencies across several platforms. [Source: https://loanscan.io] You can select rate type with \u0026ndash;type {borrow,supply} You can display only N number of platforms with \u0026ndash;limit parameter. You can check for specific coins with -c and in specific platforms with -p\noptional arguments: -t {borrow,supply}, --type {borrow,supply} Select interest rate type (default: supply) -c CRYPTOCURRENCIES, --cryptocurrrencies CRYPTOCURRENCIES Cryptocurrencies to search interest rates for separated by comma. Options: ZRX,BAT,REP,ETH,SAI,BTC,X RP,LTC,EOS,BCH,XMR,DOGE,USDC,USDT,BSV,NEO,ETC,OMG,ZEC,BTG,SAN,DAI,UNI,WBTC,COMP,LUNA,UST,BUSD,KNC,LEND,LINK,MANA,MKR,SNX,SUSD,TUS D,eCRV-DAO,HEGIC,YFI,1INCH,CRV-IB,CRV-HBTC,BOOST,CRV-sBTC,CRV-renBTC,CRV-sAave,CRV-oBTC,CRV-pBTC,CRV-LUSD,CRV-BBTC,CRV-tBTC,CRV- FRAX,CRV-yBUSD,CRV-COMP,CRV-GUSD,yUSD,CRV-3pool,CRV-TUSD,CRV-BUSD,CRV-DUSD,CRV-UST,CRV-mUSD,sUSD,CRV-sUSD,CRV-LINK,CRV-USDN,CRV- USDP,CRV-alUSD,CRV-Aave,CRV-HUSD,CRV-EURS,RAI,CRV-triCrypto,CRV-Pax,CRV-USDT,CRV-USDK,CRV-RSV,CRV-3Crypto,GUSD,PAX,USD,ILK,BNB,PA XG,ADA,FTT,SOL,SRM,RAY,XLM,SUSHI,CRV,BAL,AAVE,MATIC,GRT,ENJ,USDP,IOST,AMP,PERP,SHIB,ALICE,ALPHA,ANKR,ATA,AVA,AXS,BAKE,BAND,BNT,BT CST,CELR,CFX,CHR,COS,COTI,CTSI,DUSK,EGLD,ELF,FET,FLOW,FTM,INJ,IOTX,MDX,NEAR,OCEAN,ONT,POLS,REEF,WRX,XEC,XTZ,XVS,ZIL,DOT,FIL,TRX,C AKE,ADX,FIRO,SXP,ATOM,IOTA,AKRO,AUDIO,BADGER,CVC,DENT,DYDX,FORTH,GNO,HOT,LPT,LRC,NKN,NMR,NU,OGN,OXT,POLY,QNT,RLC,RSR,SAND,SKL,STM X,STORJ,TRB,UMA,DPI,VSP,CHSB,EURT,GHST,3CRV,CRVRENWBTC,MIR-UST UNI LP,ALCX,ALUSD,USDP3CRV,RENBTC,YVECRV,CVX,USDTTRC20,AUD,HKD,GBP,EUR,HUSD,HT,DASH,EURS,AVAX,BTT,GALA,ILV,APE (default: BTC,ETH,USDT,USDC) -p PLATFORMS, --platforms PLATFORMS Platforms to search interest rates in separated by comma. Options: MakerDao,Compound, Poloniex,Bitfinex,dYdX,CompoundV2,Linen,Hodlonaut,InstaDapp,Zerion,Argent,DeFiSaver,MakerDaoV2,Ddex,AaveStable,AaveVariable,Yearn Finance,BlockFi,Nexo,CryptoCom,Soda,Coinbase,SaltLending,Ledn,Bincentive,Inlock,Bitwala,Zipmex,Vauld,Delio,Yield,Vesper,Reflexer, SwissBorg,MushroomsFinance,ElementFi,Maple,CoinRabbit,WirexXAccounts,Youhodler,YieldApp,NotionalFinance,IconFi (default: BlockFi,Ledn,SwissBorg,Youhodler) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":350,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/ewf/","title":"Ewf","parent":"Overview","content":"usage: ewf [-l N] [--export {png,jpg,pdf,svg}] Display exchange withdrawal fees [Source: https://withdrawalfees.com/]\noptional arguments: --export {png,jpg,pdf,svg} Export or figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 15, 08:20 (✨) /crypto/ov/ $ ewf Withdrawal fees per exchange: Withdrawal Fees ┌─────────────────────┬───────┬────────────────┬──────────────────┬────────┬─────────────────────┐ │ Exchange │ Coins │ Lowest │ Average │ Median │ Highest │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ FixedFloat │ 19 │ FREE │ FREE │ FREE │ FREE │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ CREX24 │ 218 │ $0.000000001 │ $0.97 │ $0.003 │ $35.42 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ GetBTC │ 20 │ FREE │ $1.54 │ $0.03 │ $22.13 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Deribit │ 2 │ $0.89 │ $2.30 │ $2.30 │ $3.72 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ CoinFalcon │ 9 │ $0.00000000008 │ $3.41 │ $0.15 │ $24.83 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Bitfinex │ 139 │ FREE │ $3.59 │ $4.92 │ $51.83 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Bleutrade │ 14 │ FREE │ $4.76 │ FREE │ $44.27 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Kraken │ 101 │ $0.0002 │ $7.23 │ $6.62 │ $33.92 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Coindeal │ 17 │ $0.01 │ $7.52 │ $1.08 │ $46.55 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ OKCoin │ 75 │ $0.0002 │ $8.27 │ $2.40 │ $45.93 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ CoinTiger │ 40 │ $0.00006 │ $10.40 │ $0.44 │ $217.00 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Kucoin │ 598 │ FREE │ $11.12 │ $10.22 │ $60.89 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ AscendEX │ 278 │ FREE │ $11.29 │ $12.22 │ $418.86 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Coincheck │ 17 │ $0.002 │ $11.45 │ $0.33 │ $56.70 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Coinone │ 213 │ FREE │ $11.79 │ $12.41 │ $403.08 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ CoinEx │ 376 │ FREE │ $12.11 │ $15.15 │ $64.73 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Bitrue │ 73 │ FREE │ $12.67 │ $2.42 │ $137.85 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Crypto.com Exchange │ 179 │ FREE │ $13.59 │ $8.02 │ $229.75 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ DSX │ 14 │ $0.0004 │ $14.40 │ $1.23 │ $146.63 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Poloniex │ 301 │ FREE │ $15.83 │ $16.22 │ $100.00 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Binance │ 417 │ FREE │ $16.80 │ $25.00 │ $83.27 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Bitkub │ 55 │ $0.002 │ $18.17 │ $20.10 │ $83.27 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ BitMart │ 135 │ FREE │ $18.78 │ $0.34 │ $706.20 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ TOKOK │ 125 │ FREE │ $18.99 │ $3.59 │ $598.00 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Flyp.me │ 46 │ $0.0002 │ $19.23 │ $31.78 │ $36.72 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ HitBTC │ 520 │ FREE │ $31.11 │ $30.17 │ $744.58 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Liquid │ 207 │ FREE │ $31.42 │ $0.44 │ $5074.75 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Gate.io │ 1184 │ FREE │ $35.04 │ $44.53 │ $3049.92 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Bittrex │ 475 │ FREE │ $43.35 │ $38.05 │ $6421.06 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ BitForex │ 84 │ FREE │ $47.57 │ $0.16 │ $2797.80 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ BTSE │ 89 │ $0.002 │ $48.92 │ $14.31 │ $2954.31 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Tidex │ 78 │ $0.00000002 │ $93.25 │ $3.99 │ $6511.71 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Huobi Global │ 425 │ FREE │ $137.17 │ $13.88 │ $52838.35 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ BW │ 86 │ $0.00000002 │ $185.48 │ $3.22 │ $13857.00 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ SouthXchange │ 156 │ FREE │ $989.69 │ $0.001 │ $151890.50 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ WhiteBit │ 200 │ FREE │ $2530.07 │ $4.59 │ $441294.24 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ OKEx │ 353 │ FREE │ $44033.70 │ $14.30 │ $15539000.00 │ ├─────────────────────┼───────┼────────────────┼──────────────────┼────────┼─────────────────────┤ │ Coinsbit │ 580 │ FREE │ $302866468285.59 │ $3.94 │ $175505321255000.00 │ └─────────────────────┴───────┴────────────────┴──────────────────┴────────┴─────────────────────┘ "},{"id":351,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/hm/","title":"Hm","parent":"Overview","content":"usage: hm [-c CATEGORY] [-l LIMIT] [-h] [--export {csv,json,xlsx}] Displays cryptocurrencies heatmap. [Source: https://coingecko.com] Accepts \u0026ndash;category or -c to display only coins of a certain category (default no category to display all coins ranked by market cap). You can look on only top N number of records with \u0026ndash;limit.\noptional arguments: -c CATEGORY, --category CATEGORY Category (e.g., stablecoins). Empty for no category (default: ) -l LIMIT, --limit LIMIT Limit of records (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 06:44 (✨) /crypto/disc/ $ cgtop ┌────────┬──────────────┬────────────┬────────────────┬─────────────────┬───────────────┬────────────────┐ │ Symbol │ Name │ Volume [$] │ Market Cap [$] │ Market Cap Rank │ 7D Change [%] │ 24H Change [%] │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ btc │ Bitcoin │ 20.6B │ 838.8B │ 1 │ 0.93 │ 4.77 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ eth │ Ethereum │ 14.4B │ 370.6B │ 2 │ -1.53 │ 7.77 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ usdt │ Tether │ 43.3B │ 78.5B │ 3 │ -0.01 │ -0.05 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ bnb │ Binance Coin │ 1.8B │ 72.2B │ 4 │ -1.01 │ 8.18 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ usdc │ USD Coin │ 3B │ 52.6B │ 5 │ 0.25 │ 0.17 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ xrp │ XRP │ 3.2B │ 39.9B │ 6 │ 0.71 │ 5.51 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ ada │ Cardano │ 1B │ 34.9B │ 7 │ -9.04 │ 5.52 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ sol │ Solana │ 1.8B │ 32.7B │ 8 │ -12.54 │ 10.07 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ luna │ Terra │ 1B │ 22.4B │ 9 │ -5.26 │ 8.67 │ ├────────┼──────────────┼────────────┼────────────────┼─────────────────┼───────────────┼────────────────┤ │ AVAX │ Avalanche │ 899.9M │ 21.7B │ 10 │ 6.28 │ 12.72 │ └────────┴──────────────┴────────────┴────────────────┴─────────────────┴───────────────┴────────────────┘ "},{"id":352,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/news/","title":"News","parent":"Overview","content":"usage: news [-l N] [-k {news,media}] [-f {rising,hot,bullish,bearish,important,saved,lol}] [-r {en,de,es,fr,nl,it,pt,ru}] [-s {published_at,domain,title,negative_votes,positive_votes}] [--descend] [-l] [-h] [--export {png,jpg,pdf,svg}] Display recent posts from CryptoPanic news aggregator platform. [Source:https://cryptopanic.com/]\noptional arguments: -l N, --limit N N number of news \u0026gt;=10 (default: 20) -k {news,media}, --kind {news,media} Filter by category of news. Available values: news or media. (default: news) -f {rising,hot,bullish,bearish,important,saved,lol}, --filter {rising,hot,bullish,bearish,important,saved,lol} Filter by kind of news. One from list: rising|hot|bullish|bearish|important|saved|lol (default: None) -r {en,de,es,fr,nl,it,pt,ru}, --region {en,de,es,fr,nl,it,pt,ru} Filter news by regions. Available regions are: en (English), de (Deutsch), nl (Dutch), es (Español), fr (Français), it (Italiano), pt (Português), ru (Русский) (default: en) -s {published_at,domain,title,negative_votes,positive_votes}, --sort {published_at,domain,title,negative_votes,positive_votes} Sort by given column. Default: published_at (default: published_at) --descend Flag to sort in descending order (lowest first) (default: True) -u, --urls Flag to show urls. If you will use that flag you will additional column with urls (default: False) -h, --help show this help message (default: False) --export {png,jpg,pdf,svg} Export or figure into png, jpg, pdf, svg (default: ) "},{"id":353,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/wf/","title":"Wf","parent":"Overview","content":"usage: wf [-l LIMIT] [--export {png,jpg,pdf,svg}] Display withdrawal fees of cryptocurrencies ordered by market cap [Source: https://withdrawalfees.com/]\noptional arguments: -l N, --limit N show N number of coins (default: 10) --export {png,jpg,pdf,svg} Export or figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 15, 08:21 (✨) /crypto/ov/ $ wf Withdrawal fees on exchanges: Top Withdrawal Fees ┌──────────────┬──────────────┬─────────┬────────┬──────────────────────┬────────────────────┐ │ Coin │ Lowest │ Average │ Median │ Highest │ Exchanges Compared │ ├──────────────┼──────────────┼─────────┼────────┼──────────────────────┼────────────────────┤ │ Bitcoin │ FREE │ $20.01 │ $22.13 │ $66.40 (0.0015 BTC) │ 38 │ ├──────────────┼──────────────┼─────────┼────────┼──────────────────────┼────────────────────┤ │ Ethereum │ FREE │ $22.54 │ $19.39 │ $74.48 (0.024 ETH) │ 37 │ ├──────────────┼──────────────┼─────────┼────────┼──────────────────────┼────────────────────┤ │ Tether │ FREE │ $19.24 │ $15.55 │ $100.00 (100 USDT) │ 30 │ ├──────────────┼──────────────┼─────────┼────────┼──────────────────────┼────────────────────┤ │ Binance Coin │ FREE │ $4.06 │ $0.64 │ $21.38 (0.05 BNB) │ 16 │ ├──────────────┼──────────────┼─────────┼────────┼──────────────────────┼────────────────────┤ │ USD Coin │ FREE │ $21.39 │ $19.98 │ $50.96 (51 USDC) │ 27 │ ├──────────────┼──────────────┼─────────┼────────┼──────────────────────┼────────────────────┤ │ XRP │ FREE │ $1.79 │ $0.21 │ $30.02 (36 XRP) │ 29 │ ├──────────────┼──────────────┼─────────┼────────┼──────────────────────┼────────────────────┤ │ Cardano │ $0.330.3 ADA │ $6.94 │ $1.08 │ $146.63 (135.14 ADA) │ 26 │ ├──────────────┼──────────────┼─────────┼────────┼──────────────────────┼────────────────────┤ │ Solana │ FREE │ $1.17 │ $1.02 │ $5.00 (0.049 SOL) │ 18 │ ├──────────────┼──────────────┼─────────┼────────┼──────────────────────┼────────────────────┤ │ Terra │ FREE │ $4.11 │ $1.13 │ $30.53 (0.54 LUNA) │ 15 │ ├──────────────┼──────────────┼─────────┼────────┼──────────────────────┼────────────────────┤ │ Avalanche │ FREE │ $1.77 │ $0.88 │ $8.83 (0.1 AVAX) │ 15 │ └──────────────┴──────────────┴─────────┴────────┴──────────────────────┴────────────────────┘ "},{"id":354,"href":"/OpenBBTerminal/terminal/cryptocurrency/overview/wfpe/","title":"Wfpe","parent":"Overview","content":"usage: wfpe [-c COIN] [--export {png,jpg,pdf,svg}] Display coin withdrawal fees per exchange [Source: https://withdrawalfees.com/]\noptional arguments: -c COIN, --coin COIN cryptocurrency to check withdrawal fees in long format (default: bitcoin) --export {png,jpg,pdf,svg} Export or figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 15, 08:21 (✨) /crypto/ov/ $ wfpe Withdrawal fees for bitcoin: bitcoin is available on 38 exchanges with alowest fee of FREE(0 BTC), average of $20.01(0.0004519 BTC) and median of $22.13(0.0005 BTC) Withdrawal Fees per Exchange ┌─────────────────────┬───────────────────────┬───────────────────────────┐ │ Exchange │ Withdrawal Fee │ Minimum Withdrawal Amount │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ FixedFloat │ FREE │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Deribit │ $0.89 (0.00002 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Kraken │ $0.89 (0.00002 BTC) │ $22.13 (0.0005 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ OKCoin │ $0.89 (0.00002 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ CoinEx │ $4.43 (0.0001 BTC) │ $44.27 (0.001 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ CoinFalcon │ $4.43 (0.0001 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Crypto.com Exchange │ $4.43 (0.0001 BTC) │ $8.85 (0.0002 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Flyp.me │ $4.43 (0.0001 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ SouthXchange │ $6.64 (0.00015 BTC) │ $8.85 (0.0002 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ OKEx │ $8.85 (0.0002 BTC) │ $44.27 (0.001 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Bittrex │ $13.28 (0.0003 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Coindeal │ $16.60 (0.000375 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Tidex │ $17.71 (0.0004 BTC) │ $22.13 (0.0005 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Bitfinex │ $17.71 (0.0004 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ DSX │ $17.71 (0.0004 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Huobi Global │ $17.71 (0.0004 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ WhiteBit │ $17.71 (0.0004 BTC) │ $44.27 (0.001 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Liquid │ $22.13 (0.0005 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ BitForex │ $22.13 (0.0005 BTC) │ $44.27 (0.001 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ BitMart │ $22.13 (0.0005 BTC) │ $221.34 (0.005 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Coinsbit │ $22.13 (0.0005 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Kucoin │ $22.13 (0.0005 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Poloniex │ $22.13 (0.0005 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ AscendEX │ $22.13 (0.0005 BTC) │ $442.69 (0.01 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Bitkub │ $22.13 (0.0005 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Bitrue │ $22.13 (0.0005 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ BTSE │ $22.13 (0.0005 BTC) │ $44.27 (0.001 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ BW │ $22.13 (0.0005 BTC) │ $110.67 (0.0025 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Coincheck │ $22.13 (0.0005 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ CoinTiger │ $22.13 (0.0005 BTC) │ $442.69 (0.01 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ GetBTC │ $22.13 (0.0005 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Binance │ $30.55 (0.00069 BTC) │ $61.98 (0.0014 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ CREX24 │ $35.42 (0.0008 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ TOKOK │ $35.42 (0.0008 BTC) │ $44.27 (0.001 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ HitBTC │ $39.84 (0.0009 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Bleutrade │ $44.27 (0.001 BTC) │ │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Gate.io │ $44.27 (0.001 BTC) │ $486.96 (0.011 BTC) │ ├─────────────────────┼───────────────────────┼───────────────────────────┤ │ Coinone │ $66.40 (0.0015 BTC) │ $4.43 (0.0001 BTC) │ └─────────────────────┴───────────────────────┴───────────────────────────┘ "},{"id":355,"href":"/OpenBBTerminal/terminal/cryptocurrency/prt/","title":"Prt","parent":"Cryptocurrency","content":"usage: prt [--vs COIN] [--price NUM] [--top NUM] [--export {csv,json,xlsx}] [-h] Tool to calculate potential returns of a certain coin. It will take the loaded coin and compare with either another coin specified with argument --vs, with a target price specified with argument --price, or with the current N coins with biggest market cap with --top.\noptional arguments: --vs COIN Symbol of coin to compare loaded coin with (e.g., BTC) -p NUM --price NUM Target price to compute potential returns (e.g., 5) -t NUM --top NUM Top NUM coins to compare with (e.g., 5) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Examples:\nload algo/prt --price 2 load algo/prt --vs btc load algo/prt --top 5\n"},{"id":356,"href":"/OpenBBTerminal/terminal/cryptocurrency/tools/","title":"Tools","parent":"Cryptocurrency","content":"Available commands: Aprtoapy Il "},{"id":357,"href":"/OpenBBTerminal/terminal/cryptocurrency/tools/aprtoapy/","title":"Aprtoapy","parent":"Tools","content":"usage: aprtoapy [--apr APR] [-c COMPOUNDING] [-n] [-h] [--export EXPORT]\nTool to calculate APY from APR value. Compouding periods, i.e., the number of times compounded per year can be defined with -c argument.\noptional arguments: --apr APR APR value in percentage to convert (default: 100) -c COMPOUNDING, --compounding COMPOUNDING Number of compounded periods in a year. 12 means compounding monthly (default: 12) -n, --narrative Flag to show narra`ive instead of dataframe (default: False) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) "},{"id":358,"href":"/OpenBBTerminal/terminal/cryptocurrency/tools/il/","title":"Il","parent":"Tools","content":"usage: il [-pcA PRICECHANGEA] [-pcB PRICECHANGEB] [-p PROPORTION] [-v VALUE] [-n] [-h] [--export EXPORT\nTool to calculate Impermanent Loss in a custom liquidity pool. Users can provide percentages increases for two tokens (and their weight in the liquidity pool) and verify the impermanent loss that can occur.\noptional arguments: -pcA PRICECHANGEA, --priceChangeA PRICECHANGEA Token A price change in percentage (default: 0) -pcB PRICECHANGEB, --priceChangeB PRICECHANGEB Token B price change in percentage (default: 100) -p PROPORTION, --proportion PROPORTION Pool proportion. E.g., 50 means that pool contains 50% of token A and 50% of token B, 30 means that pool contains 30% of token A and 70% of token B (default: 50) -v VALUE, --value VALUE Initial amount of dollars that user provides to liquidity pool (default: 1000) -n, --narrative Flag to show narrative instead of dataframe (default: False) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) "},{"id":359,"href":"/OpenBBTerminal/terminal/econometrics/","title":"Econometrics","parent":"OpenBB Terminal","content":"The Econometrics menu\u0026rsquo;s purpose is to provide the user the ability to perform statistical research on custom datasets. The menu allows the user to load in his/her own dataset(s), modify the data by (for example) adding columns or setting indices, apply statistical tests (e.g. Breusch-Godfrey autocorrelation tests) as well as OLS regressions and Panel regressions (e.g. Random Effects and Fixed Effects)\nAvailable commands Add Bgod Bpag Clean Coint Combine Compare Delete Desc Dwat Export Granger Index Load Norm Ols Panel Plot Remove Rename Root Show Type "},{"id":360,"href":"/OpenBBTerminal/terminal/econometrics/add/","title":"Add","parent":"Econometrics","content":"usage: add [-n NEWDATASETCOL] [-b BASEDATASETCOL] [-s {div,mul,add,sub,mod,pow,\u0026gt;,\u0026lt;,\u0026gt;=,\u0026lt;=,==}] [-c CRITERIAORDATASETCOL] [-h] Can be used to create new columns for your dataset. It can use any operator and allows for creating specific dummy variables or ratios. For example: add -n wp.after_1990 -b wp.year -s \u0026gt; -c 1990 will create a new column with the name \u0026lsquo;after_1990\u0026rsquo; which is True when the year is above 1990 and False if the year is below or equal to 1990.\noptional arguments: -n NEWDATASETCOL, --newdatasetcol NEWDATASETCOL New dataset column to be added with format: dataset.column (default: None) -b BASEDATASETCOL, --basedatasetcol BASEDATASETCOL Base dataset column to be used as base with format: dataset.column (default: None) -s {div,mul,add,sub,mod,pow,\u0026gt;,\u0026lt;,\u0026gt;=,\u0026lt;=,==}, --sign {div,mul,add,sub,mod,pow,\u0026gt;,\u0026lt;,\u0026gt;=,\u0026lt;=,==} Sign to be applied to the base dataset column (default: None) -c CRITERIAORDATASETCOL, --criteriaordatasetcol CRITERIAORDATASETCOL Either dataset column to be applied on top of base dataset or criteria (default: None) -h, --help show this help message (default: False) Example:\n2022 May 31, 04:50 (🦋) /econometrics/ $ load wage_panel -a wp 2022 May 31, 04:49 (🦋) /econometrics/ $ add -n wp.after_1990 -b wp.year -s \u0026gt; -c 1990 2022 May 31, 04:49 (🦋) /econometrics/ $ show wp Dataset wp | Showing 10 of 4360 rows ┏━━━┳━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ nr ┃ year ┃ black ┃ exper ┃ hisp ┃ hours ┃ married ┃ educ ┃ union ┃ lwage ┃ expersq ┃ occupation ┃ after_1990 ┃ ┡━━━╇━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ 0 │ 13 │ 1980 │ 0 │ 1 │ 0 │ 2672 │ 0 │ 14 │ 0 │ 1.20 │ 1 │ 9 │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┤ │ 1 │ 13 │ 1981 │ 0 │ 2 │ 0 │ 2320 │ 0 │ 14 │ 1 │ 1.85 │ 4 │ 9 │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┤ │ 2 │ 13 │ 1982 │ 0 │ 3 │ 0 │ 2940 │ 0 │ 14 │ 0 │ 1.34 │ 9 │ 9 │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┤ │ 3 │ 13 │ 1983 │ 0 │ 4 │ 0 │ 2960 │ 0 │ 14 │ 0 │ 1.43 │ 16 │ 9 │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┤ │ 4 │ 13 │ 1984 │ 0 │ 5 │ 0 │ 3071 │ 0 │ 14 │ 0 │ 1.57 │ 25 │ 5 │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┤ │ 5 │ 13 │ 1985 │ 0 │ 6 │ 0 │ 2864 │ 0 │ 14 │ 0 │ 1.70 │ 36 │ 2 │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┤ │ 6 │ 13 │ 1986 │ 0 │ 7 │ 0 │ 2994 │ 0 │ 14 │ 0 │ -0.72 │ 49 │ 2 │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┤ │ 7 │ 13 │ 1987 │ 0 │ 8 │ 0 │ 2640 │ 0 │ 14 │ 0 │ 1.67 │ 64 │ 2 │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┤ │ 8 │ 17 │ 1980 │ 0 │ 4 │ 0 │ 2484 │ 0 │ 13 │ 0 │ 1.68 │ 16 │ 2 │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┤ │ 9 │ 17 │ 1981 │ 0 │ 5 │ 0 │ 2804 │ 0 │ 13 │ 0 │ 1.52 │ 25 │ 2 │ False │ └───┴────┴──────┴───────┴───────┴──────┴───────┴─────────┴──────┴───────┴───────┴─────────┴────────────┴────────────┘ 2022 May 31, 04:49 (🦋) /econometrics/ $ add -n wp.after_1985 -b wp.year -s \u0026gt; -c 1985 2022 May 31, 04:50 (🦋) /econometrics/ $ show wp Dataset wp | Showing 10 of 4360 rows ┏━━━┳━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ nr ┃ year ┃ black ┃ exper ┃ hisp ┃ hours ┃ married ┃ educ ┃ union ┃ lwage ┃ expersq ┃ occupation ┃ after_1990 ┃ after_1985 ┃ ┡━━━╇━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ 0 │ 13 │ 1980 │ 0 │ 1 │ 0 │ 2672 │ 0 │ 14 │ 0 │ 1.20 │ 1 │ 9 │ False │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┼────────────┤ │ 1 │ 13 │ 1981 │ 0 │ 2 │ 0 │ 2320 │ 0 │ 14 │ 1 │ 1.85 │ 4 │ 9 │ False │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┼────────────┤ │ 2 │ 13 │ 1982 │ 0 │ 3 │ 0 │ 2940 │ 0 │ 14 │ 0 │ 1.34 │ 9 │ 9 │ False │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┼────────────┤ │ 3 │ 13 │ 1983 │ 0 │ 4 │ 0 │ 2960 │ 0 │ 14 │ 0 │ 1.43 │ 16 │ 9 │ False │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┼────────────┤ │ 4 │ 13 │ 1984 │ 0 │ 5 │ 0 │ 3071 │ 0 │ 14 │ 0 │ 1.57 │ 25 │ 5 │ False │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┼────────────┤ │ 5 │ 13 │ 1985 │ 0 │ 6 │ 0 │ 2864 │ 0 │ 14 │ 0 │ 1.70 │ 36 │ 2 │ False │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┼────────────┤ │ 6 │ 13 │ 1986 │ 0 │ 7 │ 0 │ 2994 │ 0 │ 14 │ 0 │ -0.72 │ 49 │ 2 │ False │ True │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┼────────────┤ │ 7 │ 13 │ 1987 │ 0 │ 8 │ 0 │ 2640 │ 0 │ 14 │ 0 │ 1.67 │ 64 │ 2 │ False │ True │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┼────────────┤ │ 8 │ 17 │ 1980 │ 0 │ 4 │ 0 │ 2484 │ 0 │ 13 │ 0 │ 1.68 │ 16 │ 2 │ False │ False │ ├───┼────┼──────┼───────┼───────┼──────┼───────┼─────────┼──────┼───────┼───────┼─────────┼────────────┼────────────┼────────────┤ │ 9 │ 17 │ 1981 │ 0 │ 5 │ 0 │ 2804 │ 0 │ 13 │ 0 │ 1.52 │ 25 │ 2 │ False │ False │ └───┴────┴──────┴───────┴───────┴──────┴───────┴─────────┴──────┴───────┴───────┴─────────┴────────────┴────────────┴────────────┘ "},{"id":361,"href":"/OpenBBTerminal/terminal/econometrics/bgod/","title":"Bgod","parent":"Econometrics","content":"usage: bgod [-l LAGS] [-h] [--export {csv,json,xlsx}] Show Breusch-Godfrey autocorrelation test results. Needs OLS to be run in advance with independent and dependent variables\noptional arguments: -l LAGS, --lags LAGS The lags for the Breusch-Godfrey test (default: 3) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Jun 01, 06:29 (🦋) /econometrics/ $ load longley -a ll 2022 Jun 01, 06:29 (🦋) /econometrics/ $ ols -d ll.totemp -i ll.gnpdefl,ll.gnp,ll.unemp,ll.armed,ll.pop,ll.year OLS Regression Results ======================================================================================= Dep. Variable: ll.totemp R-squared (uncentered): 1.000 Model: OLS Adj. R-squared (uncentered): 1.000 Method: Least Squares F-statistic: 5.052e+04 Date: Wed, 01 Jun 2022 Prob (F-statistic): 8.20e-22 Time: 12:29:44 Log-Likelihood: -117.56 No. Observations: 16 AIC: 247.1 Df Residuals: 10 BIC: 251.8 Df Model: 6 Covariance Type: nonrobust ============================================================================== coef std err t P\u0026gt;|t| [0.025 0.975] ------------------------------------------------------------------------------ ll.gnpdefl -52.9936 129.545 -0.409 0.691 -341.638 235.650 ll.gnp 0.0711 0.030 2.356 0.040 0.004 0.138 ll.unemp -0.4235 0.418 -1.014 0.335 -1.354 0.507 ll.armed -0.5726 0.279 -2.052 0.067 -1.194 0.049 ll.pop -0.4142 0.321 -1.289 0.226 -1.130 0.302 ll.year 48.4179 17.689 2.737 0.021 9.003 87.832 ============================================================================== Omnibus: 1.443 Durbin-Watson: 1.277 Prob(Omnibus): 0.486 Jarque-Bera (JB): 0.605 Skew: 0.476 Prob(JB): 0.739 Kurtosis: 3.031 Cond. No. 4.56e+05 ============================================================================== Notes: [1] R² is computed without centering (uncentered) since the model does not contain a constant. [2] Standard Errors assume that the covariance matrix of the errors is correctly specified. [3] The condition number is large, 4.56e+05. This might indicate that there are strong multicollinearity or other numerical problems. Warnings: kurtosistest only valid for n\u0026gt;=20 ... continuing anyway, n=16 2022 Jun 01, 06:29 (🦋) /econometrics/ $ bgod Breusch-Godfrey autocorrelation test [Lags: 3] ┏━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ ┃ ┃ Breusch-Godfrey ┃ ┡━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ │ LM-stat │ 10.35 │ ├──────────┼─────────────────┤ │ p-value │ 0.02 │ ├──────────┼─────────────────┤ │ f-stat │ 0.10 │ ├──────────┼─────────────────┤ │ fp-value │ 0.96 │ └──────────┴─────────────────┘ The result 0.02 indicates no existence of autocorrelation. "},{"id":362,"href":"/OpenBBTerminal/terminal/econometrics/bpag/","title":"Bpag","parent":"Econometrics","content":"usage: dwat [-h] [--export {csv,json,xlsx}] Show Breusch-Pagan heteroscedasticity test results. Needs OLS to be run in advance with independent and dependent variables\nIn statistics, heteroskedasticity (or heteroscedasticity) happens when the standard deviations of a predicted variable, monitored over different values of an independent variable or as related to prior time periods, are non-constant. With heteroskedasticity, the tell-tale sign upon visual inspection of the residual errors is that they will tend to fan out over time. [Source: Investopedia]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Jun 01, 06:29 (🦋) /econometrics/ $ load longley -a ll 2022 Jun 01, 06:29 (🦋) /econometrics/ $ ols -d ll.totemp -i ll.gnpdefl,ll.gnp,ll.unemp,ll.armed,ll.pop,ll.year OLS Regression Results ======================================================================================= Dep. Variable: ll.totemp R-squared (uncentered): 1.000 Model: OLS Adj. R-squared (uncentered): 1.000 Method: Least Squares F-statistic: 5.052e+04 Date: Wed, 01 Jun 2022 Prob (F-statistic): 8.20e-22 Time: 12:29:44 Log-Likelihood: -117.56 No. Observations: 16 AIC: 247.1 Df Residuals: 10 BIC: 251.8 Df Model: 6 Covariance Type: nonrobust ============================================================================== coef std err t P\u0026gt;|t| [0.025 0.975] ------------------------------------------------------------------------------ ll.gnpdefl -52.9936 129.545 -0.409 0.691 -341.638 235.650 ll.gnp 0.0711 0.030 2.356 0.040 0.004 0.138 ll.unemp -0.4235 0.418 -1.014 0.335 -1.354 0.507 ll.armed -0.5726 0.279 -2.052 0.067 -1.194 0.049 ll.pop -0.4142 0.321 -1.289 0.226 -1.130 0.302 ll.year 48.4179 17.689 2.737 0.021 9.003 87.832 ============================================================================== Omnibus: 1.443 Durbin-Watson: 1.277 Prob(Omnibus): 0.486 Jarque-Bera (JB): 0.605 Skew: 0.476 Prob(JB): 0.739 Kurtosis: 3.031 Cond. No. 4.56e+05 ============================================================================== Notes: [1] R² is computed without centering (uncentered) since the model does not contain a constant. [2] Standard Errors assume that the covariance matrix of the errors is correctly specified. [3] The condition number is large, 4.56e+05. This might indicate that there are strong multicollinearity or other numerical problems. Warnings: kurtosistest only valid for n\u0026gt;=20 ... continuing anyway, n=16 2022 Jun 01, 06:30 (🦋) /econometrics/ $ bpag Breusch-Pagan heteroscedasticity test ┏━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ ┃ ┃ Breusch-Pagan ┃ ┡━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ │ lm-stat │ 7.90 │ ├──────────┼───────────────┤ │ p-value │ 0.16 │ ├──────────┼───────────────┤ │ f-stat │ 1.63 │ ├──────────┼───────────────┤ │ fp-value │ 0.24 │ └──────────┴───────────────┘ The result 0.16 indicates the existence of heteroscedasticity. Consider taking the log or a rate for the dependent variable. "},{"id":363,"href":"/OpenBBTerminal/terminal/econometrics/clean/","title":"Clean","parent":"Econometrics","content":"usage: clean [-n NAME] [-f {rfill,cfill,rbfill,cbfill,rffill,bffill}] [-d {rdrop,cdrop}] [-l LIMIT] [-h] Clean a dataset by filling and/or dropping NaN values.\noptional arguments: -n NAME, --name NAME The name of the dataset you want to clean up (default: None) -f {rfill,cfill,rbfill,cbfill,rffill,bffill}, --fill {rfill,cfill,rbfill,cbfill,rffill,bffill} The method of filling NaNs. This has options to fill rows (rfill, rbfill, rffill) or fill columns (cfill, cbfill, cffill). Furthermore, it has the option to forward fill and backward fill (up to --limit) which refer to how many rows/columns can be set equal to the last non-NaN value (default: ) -d {rdrop,cdrop}, --drop {rdrop,cdrop} The method of dropping NaNs. This either has the option rdrop (drop rows that contain NaNs) or cdrop (drop columns that contain NaNs) (default: ) -l LIMIT, --limit LIMIT The max amount of columns/rows backward filled or forward filled that have NaNs or the max amount of columns/rows that have NaNs before being dropped. (default: 5) -h, --help show this help message (default: False) Example:\n2022 Feb 24, 04:58 (✨) /econometrics/ $ show thesis thesis ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓ ┃ ┃ current_assets ┃ assets ┃ debt ┃ depr_amor ┃ income ┃ current_liabilities ┃ revenue ┃ equity ┃ interest_expense ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩ │ ('AAR Corp', Timestamp('2016-01-01 00:00:00')) │ 970.70 │ 1522.00 │ 160.00 │ 18.50 │ 9.90 │ 359.70 │ 412.10 │ 858.30 │ 1.70 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2016-04-01 00:00:00')) │ 873.10 │ 1442.10 │ 136.10 │ 17.80 │ 11.80 │ 329.00 │ 468.60 │ 865.80 │ 1.20 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2016-07-01 00:00:00')) │ 849.40 │ 1427.00 │ 142.80 │ nan │ 9.90 │ 314.40 │ 404.80 │ 858.50 │ 1.30 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2016-10-01 00:00:00')) │ 901.80 │ 1486.60 │ 154.10 │ nan │ 11.40 │ 350.90 │ 328.30 │ 872.40 │ 1.10 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2017-01-01 00:00:00')) │ 893.10 │ 1502.10 │ 168.70 │ nan │ 14.40 │ 342.80 │ 407.20 │ 885.70 │ 1.40 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2017-04-01 00:00:00')) │ 888.50 │ 1504.10 │ 155.30 │ nan │ 16.30 │ 335.10 │ 450.50 │ 914.20 │ 1.50 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2017-07-01 00:00:00')) │ 904.70 │ 1531.70 │ 189.00 │ 10.20 │ 11.00 │ 312.10 │ 397.90 │ 924.70 │ 1.70 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2017-10-01 00:00:00')) │ 892.20 │ 1544.30 │ 215.80 │ 10.60 │ 13.30 │ 336.50 │ 420.60 │ 906.50 │ 1.90 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2018-01-01 00:00:00')) │ 933.60 │ 1512.20 │ 194.30 │ 10.60 │ 31.30 │ 326.60 │ 456.30 │ 915.20 │ 2.20 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2018-04-01 00:00:00')) │ 942.70 │ 1524.70 │ 177.20 │ 9.10 │ 18.10 │ 333.30 │ 473.50 │ 936.30 │ 2.20 │ └────────────────────────────────────────────────┴────────────────┴─────────┴────────┴───────────┴────────┴─────────────────────┴─────────┴────────┴──────────────────┘ 2022 Feb 24, 04:58 (✨) /econometrics/ $ clean thesis -f rfill 2022 Feb 24, 04:59 (✨) /econometrics/ $ show thesis thesis ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓ ┃ ┃ current_assets ┃ assets ┃ debt ┃ depr_amor ┃ income ┃ current_liabilities ┃ revenue ┃ equity ┃ interest_expense ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩ │ ('AAR Corp', Timestamp('2016-01-01 00:00:00')) │ 970.70 │ 1522.00 │ 160.00 │ 18.50 │ 9.90 │ 359.70 │ 412.10 │ 858.30 │ 1.70 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2016-04-01 00:00:00')) │ 873.10 │ 1442.10 │ 136.10 │ 17.80 │ 11.80 │ 329.00 │ 468.60 │ 865.80 │ 1.20 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2016-07-01 00:00:00')) │ 849.40 │ 1427.00 │ 142.80 │ 0.00 │ 9.90 │ 314.40 │ 404.80 │ 858.50 │ 1.30 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2016-10-01 00:00:00')) │ 901.80 │ 1486.60 │ 154.10 │ 0.00 │ 11.40 │ 350.90 │ 328.30 │ 872.40 │ 1.10 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2017-01-01 00:00:00')) │ 893.10 │ 1502.10 │ 168.70 │ 0.00 │ 14.40 │ 342.80 │ 407.20 │ 885.70 │ 1.40 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2017-04-01 00:00:00')) │ 888.50 │ 1504.10 │ 155.30 │ 0.00 │ 16.30 │ 335.10 │ 450.50 │ 914.20 │ 1.50 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2017-07-01 00:00:00')) │ 904.70 │ 1531.70 │ 189.00 │ 10.20 │ 11.00 │ 312.10 │ 397.90 │ 924.70 │ 1.70 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2017-10-01 00:00:00')) │ 892.20 │ 1544.30 │ 215.80 │ 10.60 │ 13.30 │ 336.50 │ 420.60 │ 906.50 │ 1.90 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2018-01-01 00:00:00')) │ 933.60 │ 1512.20 │ 194.30 │ 10.60 │ 31.30 │ 326.60 │ 456.30 │ 915.20 │ 2.20 │ ├────────────────────────────────────────────────┼────────────────┼─────────┼────────┼───────────┼────────┼─────────────────────┼─────────┼────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2018-04-01 00:00:00')) │ 942.70 │ 1524.70 │ 177.20 │ 9.10 │ 18.10 │ 333.30 │ 473.50 │ 936.30 │ 2.20 │ └────────────────────────────────────────────────┴────────────────┴─────────┴────────┴───────────┴────────┴─────────────────────┴─────────┴────────┴──────────────────┘ 2022 Feb 24, 04:59 (✨) /econometrics/ $ clean thesis -d rdrop 2022 Feb 24, 05:00 (✨) /econometrics/ $ show thesis thesis ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓ ┃ ┃ current_assets ┃ assets ┃ debt ┃ depr_amor ┃ income ┃ current_liabilities ┃ revenue ┃ equity ┃ interest_expense ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩ │ ('AAR Corp', Timestamp('2016-01-01 00:00:00')) │ 970.70 │ 1522.00 │ 160.00 │ 18.50 │ 9.90 │ 359.70 │ 412.10 │ 858.30 │ 1.70 │ ├───────────────────────────────────────────────────────────────────┼────────────────┼──────────┼──────────┼───────────┼────────┼─────────────────────┼─────────┼─────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2016-04-01 00:00:00')) │ 873.10 │ 1442.10 │ 136.10 │ 17.80 │ 11.80 │ 329.00 │ 468.60 │ 865.80 │ 1.20 │ ├───────────────────────────────────────────────────────────────────┼────────────────┼──────────┼──────────┼───────────┼────────┼─────────────────────┼─────────┼─────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2017-07-01 00:00:00')) │ 904.70 │ 1531.70 │ 189.00 │ 10.20 │ 11.00 │ 312.10 │ 397.90 │ 924.70 │ 1.70 │ ├───────────────────────────────────────────────────────────────────┼────────────────┼──────────┼──────────┼───────────┼────────┼─────────────────────┼─────────┼─────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2017-10-01 00:00:00')) │ 892.20 │ 1544.30 │ 215.80 │ 10.60 │ 13.30 │ 336.50 │ 420.60 │ 906.50 │ 1.90 │ ├───────────────────────────────────────────────────────────────────┼────────────────┼──────────┼──────────┼───────────┼────────┼─────────────────────┼─────────┼─────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2018-01-01 00:00:00')) │ 933.60 │ 1512.20 │ 194.30 │ 10.60 │ 31.30 │ 326.60 │ 456.30 │ 915.20 │ 2.20 │ ├───────────────────────────────────────────────────────────────────┼────────────────┼──────────┼──────────┼───────────┼────────┼─────────────────────┼─────────┼─────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2018-04-01 00:00:00')) │ 942.70 │ 1524.70 │ 177.20 │ 9.10 │ 18.10 │ 333.30 │ 473.50 │ 936.30 │ 2.20 │ ├───────────────────────────────────────────────────────────────────┼────────────────┼──────────┼──────────┼───────────┼────────┼─────────────────────┼─────────┼─────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2018-07-01 00:00:00')) │ 982.40 │ 1537.80 │ 209.10 │ 10.10 │ 18.90 │ 315.10 │ 466.30 │ 929.10 │ 2.10 │ ├───────────────────────────────────────────────────────────────────┼────────────────┼──────────┼──────────┼───────────┼────────┼─────────────────────┼─────────┼─────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2018-10-01 00:00:00')) │ 1040.70 │ 1604.20 │ 218.90 │ 10.40 │ 11.20 │ 344.20 │ 493.30 │ 935.60 │ 2.50 │ ├───────────────────────────────────────────────────────────────────┼────────────────┼──────────┼──────────┼───────────┼────────┼─────────────────────┼─────────┼─────────┼──────────────────┤ │ ('AAR Corp', Timestamp('2019-01-01 00:00:00')) │ 993.40 │ 1546.50 │ 177.20 │ 10.80 │ 27.40 │ 359.60 │ 529.50 │ 899.40 │ 2.60 │ ├───────────────────────────────────────────────────────────────────┼────────────────┼──────────┼──────────┼───────────┼────────┼─────────────────────┼─────────┼─────────┼──────────────────┤ │ ('American Airlines Group Inc', Timestamp('2016-01-01 00:00:00')) │ 10802.00 │ 49909.00 │ 19134.00 │ 423.00 │ 700.00 │ 15277.00 │ 9435.00 │ 4710.00 │ 250.00 │ └───────────────────────────────────────────────────────────────────┴────────────────┴──────────┴──────────┴───────────┴────────┴─────────────────────┴─────────┴─────────┴──────────────────┘ "},{"id":364,"href":"/OpenBBTerminal/terminal/econometrics/coint/","title":"Coint","parent":"Econometrics","content":"usage: coint [-ts {OPTIONS}] [-p] [-s SIGNIFICANT] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Show co-integration between timeseries.\nCointegration is a statistical property of a collection (X1, X2, \u0026hellip;, Xk) of time series variables. First, all of the series must be integrated of order d (see Order of integration). Next, if a linear combination of this collection is integrated of order less than d, then the collection is said to be co-integrated. Formally, if (X,Y,Z) are each integrated of order d, and there exist coefficients a,b,c such that aX + bY + cZ is integrated of order less than d, then X, Y, and Z are cointegrated. Cointegration has become an important property in contemporary time series analysis. Time series often have trends—either deterministic or stochastic. In an influential paper, Charles Nelson and Charles Plosser (1982) provided statistical evidence that many US macroeconomic time series (like GNP, wages, employment, etc.) have stochastic trends. [Source: Wikipedia]\noptional arguments: -ts {OPTIONS}, --timeseries {OPTIONS} The time series you wish to test co-integration on. Can hold multiple timeseries. (default: None) -p, --plot Plot Z-Values (default: False) -s SIGNIFICANT, --significant SIGNIFICANT Show only companies that have p-values lower than this percentage (default: 0) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 24, 06:03 (✨) /econometrics/ $ coint msft.adj_close aapl.adj_close tsla.adj_close googl.adj_close -p Cointegration Tests ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━┓ ┃ Pairs ┃ Constant ┃ Gamma ┃ Alpha ┃ Dickey-Fuller ┃ P Value ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━┩ │ adj_close-msft/adj_close-aapl │ 46.62 │ 1.58 │ 0.00 │ -1.86 │ 0.35 │ ├────────────────────────────────┼──────────┼───────┼───────┼───────────────┼─────────┤ │ adj_close-msft/adj_close-tsla │ 130.28 │ 0.18 │ -0.01 │ -2.82 │ 0.06 │ ├────────────────────────────────┼──────────┼───────┼───────┼───────────────┼─────────┤ │ adj_close-msft/adj_close-googl │ 21.38 │ 0.10 │ -0.01 │ -2.51 │ 0.11 │ ├────────────────────────────────┼──────────┼───────┼───────┼───────────────┼─────────┤ │ adj_close-aapl/adj_close-tsla │ 53.92 │ 0.11 │ -0.01 │ -2.94 │ 0.04 │ ├────────────────────────────────┼──────────┼───────┼───────┼───────────────┼─────────┤ │ adj_close-aapl/adj_close-googl │ -7.83 │ 0.06 │ -0.00 │ -1.62 │ 0.47 │ ├────────────────────────────────┼──────────┼───────┼───────┼───────────────┼─────────┤ │ adj_close-tsla/adj_close-googl │ -505.14 │ 0.51 │ -0.01 │ -2.28 │ 0.18 │ └────────────────────────────────┴──────────┴───────┴───────┴───────────────┴─────────┘ "},{"id":365,"href":"/OpenBBTerminal/terminal/econometrics/combine/","title":"Combine","parent":"Econometrics","content":"usage: combine [-d {wp}] [-c COLUMNS] [-h] Makes it possible to add a column to a different dataset.\noptional arguments: -d {wp}, --dataset {wp} Dataset to add columns to (default: None) -c COLUMNS, --columns COLUMNS The columns we want to add \u0026lt;dataset.column\u0026gt;,\u0026lt;datasetb.column2\u0026gt; (default: None) -h, --help show this help message (default: False) Example:\n2022 May 31, 04:54 (🦋) /econometrics/ $ load nile 2022 May 31, 04:54 (🦋) /econometrics/ $ load nile -a nile_2 2022 May 31, 04:54 (🦋) /econometrics/ $ combine nile -c nile_2.volume 2022 May 31, 04:55 (🦋) /econometrics/ $ show nile Dataset nile | Showing 10 of 100 rows ┏━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━┓ ┃ ┃ year ┃ volume ┃ nile_2_volume ┃ ┡━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━┩ │ 0 │ 1871.00 │ 1120.00 │ 1120.00 │ ├───┼─────────┼─────────┼───────────────┤ │ 1 │ 1872.00 │ 1160.00 │ 1160.00 │ ├───┼─────────┼─────────┼───────────────┤ │ 2 │ 1873.00 │ 963.00 │ 963.00 │ ├───┼─────────┼─────────┼───────────────┤ │ 3 │ 1874.00 │ 1210.00 │ 1210.00 │ ├───┼─────────┼─────────┼───────────────┤ │ 4 │ 1875.00 │ 1160.00 │ 1160.00 │ ├───┼─────────┼─────────┼───────────────┤ │ 5 │ 1876.00 │ 1160.00 │ 1160.00 │ ├───┼─────────┼─────────┼───────────────┤ │ 6 │ 1877.00 │ 813.00 │ 813.00 │ ├───┼─────────┼─────────┼───────────────┤ │ 7 │ 1878.00 │ 1230.00 │ 1230.00 │ ├───┼─────────┼─────────┼───────────────┤ │ 8 │ 1879.00 │ 1370.00 │ 1370.00 │ ├───┼─────────┼─────────┼───────────────┤ │ 9 │ 1880.00 │ 1140.00 │ 1140.00 │ └───┴─────────┴─────────┴───────────────┘ "},{"id":366,"href":"/OpenBBTerminal/terminal/econometrics/compare/","title":"Compare","parent":"Econometrics","content":"usage: compare [-h] [--export {csv,json,xlsx}] Compare results between all activated regression models via panel command.\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Below you can find a comparison of the regression estimates based on the dataset from Vella and M. Verbeek (1998), “Whose Wages Do Unions Raise? A Dynamic Model of Unionism and Wage Rate Determination for Young Men,” Journal of Applied Econometrics 13, 163-183. This is a well-known dataset also used within Chapter 14 of Introduction to Econometrics by Jeffrey Wooldridge.\nTo replicate this result, please have a look at panel.\n2022 Feb 25, 08:56 (✨) /econometrics/ $ compare Model Comparison ========================================================================================================================================================== POLS BOLS RE FE FE_EE FE_IE FE_EE_IE FDOLS ---------------------------------------------------------------------------------------------------------------------------------------------------------- Dep. Variable lwage_wp lwage_wp lwage_wp lwage_wp lwage_wp lwage_wp lwage_wp lwage_wp Estimator PooledOLS BetweenOLS RandomEffects PanelOLS PanelOLS PanelOLS PanelOLS FirstDifferenceOLS No. Observations 4360 545 4360 4360 4360 4360 4360 3815 Cov. Est. Unadjusted Unadjusted Unadjusted Unadjusted Unadjusted Unadjusted Unadjusted Unadjusted R-squared 0.1893 0.2155 0.1806 0.1246 0.1806 0.0535 0.0216 0.0268 R-Squared (Within) 0.1692 0.1141 0.1799 0.1646 0.1806 -0.1037 -0.4809 0.1763 R-Squared (Between) 0.2066 0.2155 0.1853 0.0902 -0.0052 0.0902 -0.0052 0.5491 R-Squared (Overall) 0.1893 0.1686 0.1828 0.1246 0.0807 0.0005 -0.2253 0.5328 F-statistic 72.459 24.633 68.409 61.920 83.851 81.891 27.959 26.208 P-value (F-stat) 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 ===================== ============ ============ =============== ============ ============ ============ ============ ==================== const 0.0921 0.2836 0.0234 1.3454 1.4260 1.6440 1.8706 (1.1761) (1.5897) (0.1546) (60.606) (77.748) (94.902) (49.430) black_wp -0.1392 -0.1414 -0.1394 (-5.9049) (-2.8915) (-2.9054) hisp_wp 0.0160 0.0100 0.0217 (0.7703) (0.2355) (0.5078) exper_wp 0.0672 0.0278 0.1058 0.1158 (4.9095) (2.4538) (6.8706) (5.9096) expersq_wp -0.0024 -0.0047 -0.0021 -0.0052 -0.0021 -0.0052 -0.0039 (-2.9413) (-6.8623) (-7.5081) (-7.3612) (-7.5081) (-7.3612) (-2.8005) married_wp 0.1083 0.1416 0.0638 0.1521 0.0467 0.1521 0.0467 0.0381 (6.8997) (3.4346) (3.8035) (9.5417) (2.5494) (9.5417) (2.5494) (1.6633) educ_wp 0.0913 0.0913 0.0919 (17.442) (8.5159) (8.5744) union_wp 0.1825 0.2587 0.1059 0.1768 0.0800 0.1768 0.0800 0.0428 (10.635) (5.6214) (5.9289) (10.032) (4.1430) (10.032) (4.1430) (2.1767) year_wp.1981 0.0583 0.0404 0.1187 0.1512 (1.9214) (1.6362) (3.9144) (6.8883) year_wp.1982 0.0628 0.0309 0.1843 0.2530 (1.8900) (0.9519) (6.0168) (10.360) year_wp.1983 0.0620 0.0202 0.2431 0.3544 (1.6915) (0.4840) (7.7581) (12.121) year_wp.1984 0.0905 0.0430 0.3322 0.4901 (2.2566) (0.8350) (10.236) (13.529) year_wp.1985 0.1092 0.0577 0.4112 0.6175 (2.5200) (0.9383) (12.048) (13.648) year_wp.1986 0.1420 0.0918 0.5039 0.7655 (3.0580) (1.2834) (13.806) (13.638) year_wp.1987 0.1738 0.1348 0.5952 0.9250 (3.5165) (1.6504) (15.026) (13.450) ======================= ============== ============== ================= ============== ============== ============== ============== ====================== Effects Entity Time Entity Time ---------------------------------------------------------------------------------------------------------------------------------------------------------- T-stats reported in parentheses "},{"id":367,"href":"/OpenBBTerminal/terminal/econometrics/delete/","title":"Delete","parent":"Econometrics","content":"usage: delete [-d DELETE] [-h] Allows you to remove any column from your dataset. For example delete wp.nr\noptional arguments: -d DELETE, --delete DELETE The columns you want to delete from a dataset. Use format: \u0026lt;dataset.column\u0026gt; or multiple with \u0026lt;dataset.column\u0026gt;,\u0026lt;datasetb.column2\u0026gt; (default: None) -h, --help show this help message (default: False) Example:\n2022 May 31, 04:53 (🦋) /econometrics/ $ load wage_panel -a wp 2022 May 31, 04:53 (🦋) /econometrics/ $ show wp Dataset wp | Showing 10 of 4360 rows ┏━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ nr ┃ year ┃ black ┃ exper ┃ hisp ┃ hours ┃ married ┃ educ ┃ union ┃ lwage ┃ expersq ┃ occupation ┃ ┡━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━┩ │ 0 │ 13.00 │ 1980.00 │ 0.00 │ 1.00 │ 0.00 │ 2672.00 │ 0.00 │ 14.00 │ 0.00 │ 1.20 │ 1.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 1 │ 13.00 │ 1981.00 │ 0.00 │ 2.00 │ 0.00 │ 2320.00 │ 0.00 │ 14.00 │ 1.00 │ 1.85 │ 4.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 2 │ 13.00 │ 1982.00 │ 0.00 │ 3.00 │ 0.00 │ 2940.00 │ 0.00 │ 14.00 │ 0.00 │ 1.34 │ 9.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 3 │ 13.00 │ 1983.00 │ 0.00 │ 4.00 │ 0.00 │ 2960.00 │ 0.00 │ 14.00 │ 0.00 │ 1.43 │ 16.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 4 │ 13.00 │ 1984.00 │ 0.00 │ 5.00 │ 0.00 │ 3071.00 │ 0.00 │ 14.00 │ 0.00 │ 1.57 │ 25.00 │ 5.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 5 │ 13.00 │ 1985.00 │ 0.00 │ 6.00 │ 0.00 │ 2864.00 │ 0.00 │ 14.00 │ 0.00 │ 1.70 │ 36.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 6 │ 13.00 │ 1986.00 │ 0.00 │ 7.00 │ 0.00 │ 2994.00 │ 0.00 │ 14.00 │ 0.00 │ -0.72 │ 49.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 7 │ 13.00 │ 1987.00 │ 0.00 │ 8.00 │ 0.00 │ 2640.00 │ 0.00 │ 14.00 │ 0.00 │ 1.67 │ 64.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 8 │ 17.00 │ 1980.00 │ 0.00 │ 4.00 │ 0.00 │ 2484.00 │ 0.00 │ 13.00 │ 0.00 │ 1.68 │ 16.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 9 │ 17.00 │ 1981.00 │ 0.00 │ 5.00 │ 0.00 │ 2804.00 │ 0.00 │ 13.00 │ 0.00 │ 1.52 │ 25.00 │ 2.00 │ └───┴───────┴─────────┴───────┴───────┴──────┴─────────┴─────────┴───────┴───────┴───────┴─────────┴────────────┘ 2022 May 31, 04:53 (🦋) /econometrics/ $ delete wp.year,wp.black,wp.exper 2022 May 31, 04:53 (🦋) /econometrics/ $ show wp Dataset wp | Showing 10 of 4360 rows ┏━━━┳━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ nr ┃ hisp ┃ hours ┃ married ┃ educ ┃ union ┃ lwage ┃ expersq ┃ occupation ┃ ┡━━━╇━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━┩ │ 0 │ 13.00 │ 0.00 │ 2672.00 │ 0.00 │ 14.00 │ 0.00 │ 1.20 │ 1.00 │ 9.00 │ ├───┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 1 │ 13.00 │ 0.00 │ 2320.00 │ 0.00 │ 14.00 │ 1.00 │ 1.85 │ 4.00 │ 9.00 │ ├───┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 2 │ 13.00 │ 0.00 │ 2940.00 │ 0.00 │ 14.00 │ 0.00 │ 1.34 │ 9.00 │ 9.00 │ ├───┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 3 │ 13.00 │ 0.00 │ 2960.00 │ 0.00 │ 14.00 │ 0.00 │ 1.43 │ 16.00 │ 9.00 │ ├───┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 4 │ 13.00 │ 0.00 │ 3071.00 │ 0.00 │ 14.00 │ 0.00 │ 1.57 │ 25.00 │ 5.00 │ ├───┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 5 │ 13.00 │ 0.00 │ 2864.00 │ 0.00 │ 14.00 │ 0.00 │ 1.70 │ 36.00 │ 2.00 │ ├───┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 6 │ 13.00 │ 0.00 │ 2994.00 │ 0.00 │ 14.00 │ 0.00 │ -0.72 │ 49.00 │ 2.00 │ ├───┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 7 │ 13.00 │ 0.00 │ 2640.00 │ 0.00 │ 14.00 │ 0.00 │ 1.67 │ 64.00 │ 2.00 │ ├───┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 8 │ 17.00 │ 0.00 │ 2484.00 │ 0.00 │ 13.00 │ 0.00 │ 1.68 │ 16.00 │ 2.00 │ ├───┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 9 │ 17.00 │ 0.00 │ 2804.00 │ 0.00 │ 13.00 │ 0.00 │ 1.52 │ 25.00 │ 2.00 │ └───┴───────┴──────┴─────────┴─────────┴───────┴───────┴───────┴─────────┴────────────┘ "},{"id":368,"href":"/OpenBBTerminal/terminal/econometrics/desc/","title":"Desc","parent":"Econometrics","content":"usage: desc [-n {OPTIONS}] [-h] [--export {csv,json,xlsx}] Show the descriptive statistics of a dataset.\noptional arguments: -n {OPTIONS}, --name {OPTIONS} The name of the database you want to show the descriptive statistics for (default: None) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Jun 01, 06:50 (🦋) /econometrics/ $ load anes96 2022 Jun 01, 06:51 (🦋) /econometrics/ $ desc anes96 Statistics for dataset: 'anes96' ┏━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ popul ┃ tvnews ┃ selflr ┃ clinlr ┃ dolelr ┃ pid ┃ age ┃ educ ┃ income ┃ vote ┃ logpopul ┃ ┡━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━┩ │ count │ 944.00 │ 944.00 │ 944.00 │ 944.00 │ 944.00 │ 944.00 │ 944.00 │ 944.00 │ 944.00 │ 944.00 │ 944.00 │ ├───────┼─────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼──────────┤ │ mean │ 306.38 │ 3.73 │ 4.33 │ 2.94 │ 5.39 │ 2.84 │ 47.04 │ 4.57 │ 16.33 │ 0.42 │ 2.47 │ ├───────┼─────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼──────────┤ │ std │ 1082.61 │ 2.68 │ 1.44 │ 1.38 │ 1.27 │ 2.27 │ 16.42 │ 1.60 │ 5.97 │ 0.49 │ 3.19 │ ├───────┼─────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼──────────┤ │ min │ 0.00 │ 0.00 │ 1.00 │ 1.00 │ 1.00 │ 0.00 │ 19.00 │ 1.00 │ 1.00 │ 0.00 │ -2.30 │ ├───────┼─────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼──────────┤ │ 25% │ 1.00 │ 1.00 │ 3.00 │ 2.00 │ 5.00 │ 1.00 │ 34.00 │ 3.00 │ 14.00 │ 0.00 │ 0.10 │ ├───────┼─────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼──────────┤ │ 50% │ 22.00 │ 3.00 │ 4.00 │ 3.00 │ 6.00 │ 2.00 │ 44.00 │ 4.00 │ 17.00 │ 0.00 │ 3.10 │ ├───────┼─────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼──────────┤ │ 75% │ 110.00 │ 7.00 │ 6.00 │ 4.00 │ 6.00 │ 5.00 │ 58.00 │ 6.00 │ 21.00 │ 1.00 │ 4.70 │ ├───────┼─────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼────────┼──────────┤ │ max │ 7300.00 │ 7.00 │ 7.00 │ 7.00 │ 7.00 │ 6.00 │ 91.00 │ 7.00 │ 24.00 │ 1.00 │ 8.90 │ └───────┴─────────┴────────┴────────┴────────┴────────┴────────┴────────┴────────┴────────┴────────┴──────────┘ 2022 Jun 01, 06:51 (🦋) /econometrics/ $ desc anes96.educ Statistics for dataset: 'anes96' ┏━━━━━━━┳━━━━━━━━┓ ┃ ┃ educ ┃ ┡━━━━━━━╇━━━━━━━━┩ │ count │ 944.00 │ ├───────┼────────┤ │ mean │ 4.57 │ ├───────┼────────┤ │ std │ 1.60 │ ├───────┼────────┤ │ min │ 1.00 │ ├───────┼────────┤ │ 25% │ 3.00 │ ├───────┼────────┤ │ 50% │ 4.00 │ ├───────┼────────┤ │ 75% │ 6.00 │ ├───────┼────────┤ │ max │ 7.00 │ └───────┴────────┘ "},{"id":369,"href":"/OpenBBTerminal/terminal/econometrics/dwat/","title":"Dwat","parent":"Econometrics","content":"usage: dwat [-p] [-h] [--export {csv,json,xlsx}] Show autocorrelation tests from Durbin-Watson\nThe Durbin Watson (DW) statistic is a test for autocorrelation in the residuals from a statistical model or regression analysis. The Durbin-Watson statistic will always have a value ranging between 0 and 4. A value of 2.0 indicates there is no autocorrelation detected in the sample. Values from 0 to less than 2 point to positive autocorrelation and values from 2 to 4 means negative autocorrelation. [Source: Investopedia]\noptional arguments: -p, --plot Plot the residuals (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 24, 05:59 (✨) /econometrics/ $ ols -d adj_close-msft -i adj_close-aapl -i adj_close-googl -i adj_close-tsla OLS Regression Results ============================================================================== Dep. Variable: adj_close_msft R-squared: 0.977 Model: OLS Adj. R-squared: 0.977 Method: Least Squares F-statistic: 1.068e+04 Date: Thu, 24 Feb 2022 Prob (F-statistic): 0.00 Time: 12:00:01 Log-Likelihood: -2830.6 No. Observations: 759 AIC: 5669. Df Residuals: 755 BIC: 5688. Df Model: 3 Covariance Type: nonrobust =================================================================================== coef std err t P\u0026gt;|t| [0.025 0.975] ----------------------------------------------------------------------------------- Intercept 27.7984 2.166 12.832 0.000 23.546 32.051 adj_close_aapl 0.8662 0.034 25.503 0.000 0.800 0.933 adj_close_googl 0.0508 0.002 30.374 0.000 0.048 0.054 adj_close_tsla -0.0007 0.004 -0.181 0.856 -0.009 0.007 ============================================================================== Omnibus: 41.445 Durbin-Watson: 0.044 Prob(Omnibus): 0.000 Jarque-Bera (JB): 47.398 Skew: 0.612 Prob(JB): 5.10e-11 Kurtosis: 2.995 Cond. No. 1.16e+04 ============================================================================== Notes: [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. [2] The condition number is large, 1.16e+04. This might indicate that there are strong multicollinearity or other numerical problems. 2022 Feb 24, 06:00 (✨) /statistics/ $ dwat -p The result 0.04 is outside the range 1.5 and 2.5 and therefore autocorrelation can be problematic. Please consider lags of the dependent or independent variable. "},{"id":370,"href":"/OpenBBTerminal/terminal/econometrics/export/","title":"Export","parent":"Econometrics","content":"usage: export [-n NAME] [-t {csv,xlsx}] [-h] Export dataset to Excel. It properly recognizes changes made with the index, clean and modify commands.\noptional arguments: -n NAME, --name NAME The name of the dataset you wish to export (default: None) -t {csv,xlsx}, --type {csv,xlsx} The file type you wish to export to (default: xlsx) -h, --help show this help message (default: False) Example:\n2022 Feb 24, 04:35 (✨) /econometrics/ $ load ThesisData.xlsx thesis 2022 Feb 24, 04:36 (✨) /econometrics/ $ export thesis -t csv Saved file: /Users/jeroenbouma/My Drive/Programming/Python/OpenBBTerminal/exports/statistics/thesis_20220224_103614.csv "},{"id":371,"href":"/OpenBBTerminal/terminal/econometrics/granger/","title":"Granger","parent":"Econometrics","content":"usage: granger [ts {OPTIONS}] [-l LAGS] [-cl CONFIDENCE] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Show Granger causality between two timeseries\nThe Granger causality test is a statistical hypothesis test for determining whether one time series is useful in forecasting another, first proposed in 1969. Ordinarily, regressions reflect \u0026ldquo;mere\u0026rdquo; correlations, but Clive Granger argued that causality in economics could be tested for by measuring the ability to predict the future values of a time series using prior values of another time series. Since the question of \u0026ldquo;true causality\u0026rdquo; is deeply philosophical, and because of the post hoc ergo propter hoc fallacy of assuming that one thing preceding another can be used as a proof of causation, econometricians assert that the Granger test finds only \u0026ldquo;predictive causality\u0026rdquo;. Using the term \u0026ldquo;causality\u0026rdquo; alone is a misnomer, as Granger-causality is better described as \u0026ldquo;precedence\u0026rdquo;, or, as Granger himself later claimed in 1977, \u0026ldquo;temporally related\u0026rdquo;. Rather than testing whether X causes Y, the Granger causality tests whether X forecasts Y. [Source: Wikipedia]\noptional arguments:ols -ts {OPTIONS}, --timeseries {OPTIONS} Requires two time series, the first time series is assumed to be Granger-caused by the second time series. (default: None) -l LAGS, --lags LAGS How many lags should be included (default: 3) -cl CONFIDENCE, --confidence CONFIDENCE Set the confidence level (default: 0.05) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Example:\n2022 Jun 01, 06:35 (🦋) /econometrics/ $ load strikes 2022 Jun 01, 06:36 (🦋) /econometrics/ $ granger strikes.duration,strikes.iprod Granger Causality Test [Y: strikes.duration | X: strikes.iprod | Lags: 3] ┏━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━┓ ┃ ┃ F-test ┃ P-value ┃ Count ┃ Lags ┃ ┡━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━┩ │ ssr_ftest │ 0.81 │ 0.49 │ 52.00 │ 3.00 │ ├──────────────┼────────┼─────────┼───────┼──────┤ │ ssr_chi2test │ 2.75 │ 0.43 │ - │ 3 │ ├──────────────┼────────┼─────────┼───────┼──────┤ │ lrtest │ 2.69 │ 0.44 │ - │ 3 │ ├──────────────┼────────┼─────────┼───────┼──────┤ │ params_ftest │ 0.81 │ 0.49 │ 52.00 │ 3.00 │ └──────────────┴────────┴─────────┴───────┴──────┘ As the p-value of the F-test is 0.495, we can not reject the null hypothesis at the 0.05 confidence level. "},{"id":372,"href":"/OpenBBTerminal/terminal/econometrics/index/","title":"Index","parent":"Econometrics","content":"usage: index [-n NAME [NAME ...]] [-i] [-h] Set a (multi) index for a dataset, specified by --name. When setting two indices, it is assumed it follows the structure (e.g. company names and quarter)\noptional arguments: -n NAME [NAME ...], --name NAME [NAME ...] The first argument is the name of the database, further arguments are the columns you wish to set as index (default: None) -a, --adjustment Whether to allow for making adjustments to the dataset to align it with the use case for Timeseries and Panel Data regressions (default: False) -d, --drop Whether to drop the column(s) the index is set for. (default: False) -h, --help show this help message (default: False) Example:\n2022 Jun 01, 06:39 (🦋) /econometrics/ $ load wage_panel -a wp 2022 Jun 01, 06:39 (🦋) /econometrics/ $ show wp Dataset wp | Showing 10 of 4360 rows ┏━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ nr ┃ year ┃ black ┃ exper ┃ hisp ┃ hours ┃ married ┃ educ ┃ union ┃ lwage ┃ expersq ┃ occupation ┃ ┡━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━┩ │ 0 │ 13.00 │ 1980.00 │ 0.00 │ 1.00 │ 0.00 │ 2672.00 │ 0.00 │ 14.00 │ 0.00 │ 1.20 │ 1.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 1 │ 13.00 │ 1981.00 │ 0.00 │ 2.00 │ 0.00 │ 2320.00 │ 0.00 │ 14.00 │ 1.00 │ 1.85 │ 4.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 2 │ 13.00 │ 1982.00 │ 0.00 │ 3.00 │ 0.00 │ 2940.00 │ 0.00 │ 14.00 │ 0.00 │ 1.34 │ 9.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 3 │ 13.00 │ 1983.00 │ 0.00 │ 4.00 │ 0.00 │ 2960.00 │ 0.00 │ 14.00 │ 0.00 │ 1.43 │ 16.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 4 │ 13.00 │ 1984.00 │ 0.00 │ 5.00 │ 0.00 │ 3071.00 │ 0.00 │ 14.00 │ 0.00 │ 1.57 │ 25.00 │ 5.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 5 │ 13.00 │ 1985.00 │ 0.00 │ 6.00 │ 0.00 │ 2864.00 │ 0.00 │ 14.00 │ 0.00 │ 1.70 │ 36.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 6 │ 13.00 │ 1986.00 │ 0.00 │ 7.00 │ 0.00 │ 2994.00 │ 0.00 │ 14.00 │ 0.00 │ -0.72 │ 49.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 7 │ 13.00 │ 1987.00 │ 0.00 │ 8.00 │ 0.00 │ 2640.00 │ 0.00 │ 14.00 │ 0.00 │ 1.67 │ 64.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 8 │ 17.00 │ 1980.00 │ 0.00 │ 4.00 │ 0.00 │ 2484.00 │ 0.00 │ 13.00 │ 0.00 │ 1.68 │ 16.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 9 │ 17.00 │ 1981.00 │ 0.00 │ 5.00 │ 0.00 │ 2804.00 │ 0.00 │ 13.00 │ 0.00 │ 1.52 │ 25.00 │ 2.00 │ └───┴───────┴─────────┴───────┴───────┴──────┴─────────┴─────────┴───────┴───────┴───────┴─────────┴────────────┘ 2022 Jun 01, 06:39 (🦋) /econometrics/ $ index wp -i nr,year Successfully updated 'wp' index to be 'nr, year' 2022 Jun 01, 06:39 (🦋) /econometrics/ $ show wp Dataset wp | Showing 10 of 4360 rows ┏━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ nr ┃ year ┃ black ┃ exper ┃ hisp ┃ hours ┃ married ┃ educ ┃ union ┃ lwage ┃ expersq ┃ occupation ┃ ┡━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━┩ │ (13, 1980) │ 13.00 │ 1980.00 │ 0.00 │ 1.00 │ 0.00 │ 2672.00 │ 0.00 │ 14.00 │ 0.00 │ 1.20 │ 1.00 │ 9.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1981) │ 13.00 │ 1981.00 │ 0.00 │ 2.00 │ 0.00 │ 2320.00 │ 0.00 │ 14.00 │ 1.00 │ 1.85 │ 4.00 │ 9.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1982) │ 13.00 │ 1982.00 │ 0.00 │ 3.00 │ 0.00 │ 2940.00 │ 0.00 │ 14.00 │ 0.00 │ 1.34 │ 9.00 │ 9.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1983) │ 13.00 │ 1983.00 │ 0.00 │ 4.00 │ 0.00 │ 2960.00 │ 0.00 │ 14.00 │ 0.00 │ 1.43 │ 16.00 │ 9.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1984) │ 13.00 │ 1984.00 │ 0.00 │ 5.00 │ 0.00 │ 3071.00 │ 0.00 │ 14.00 │ 0.00 │ 1.57 │ 25.00 │ 5.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1985) │ 13.00 │ 1985.00 │ 0.00 │ 6.00 │ 0.00 │ 2864.00 │ 0.00 │ 14.00 │ 0.00 │ 1.70 │ 36.00 │ 2.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1986) │ 13.00 │ 1986.00 │ 0.00 │ 7.00 │ 0.00 │ 2994.00 │ 0.00 │ 14.00 │ 0.00 │ -0.72 │ 49.00 │ 2.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1987) │ 13.00 │ 1987.00 │ 0.00 │ 8.00 │ 0.00 │ 2640.00 │ 0.00 │ 14.00 │ 0.00 │ 1.67 │ 64.00 │ 2.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (17, 1980) │ 17.00 │ 1980.00 │ 0.00 │ 4.00 │ 0.00 │ 2484.00 │ 0.00 │ 13.00 │ 0.00 │ 1.68 │ 16.00 │ 2.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (17, 1981) │ 17.00 │ 1981.00 │ 0.00 │ 5.00 │ 0.00 │ 2804.00 │ 0.00 │ 13.00 │ 0.00 │ 1.52 │ 25.00 │ 2.00 │ └────────────┴───────┴─────────┴───────┴───────┴──────┴─────────┴─────────┴───────┴───────┴───────┴─────────┴────────────┘ "},{"id":373,"href":"/OpenBBTerminal/terminal/econometrics/load/","title":"Load","parent":"Econometrics","content":"usage: load [-f FILE [FILE ...]] [-ex] [-h] Load custom data set into a DataFrame. If a column exists titled \u0026ldquo;date\u0026rdquo;, \u0026ldquo;time\u0026rdquo;, \u0026ldquo;timestamp\u0026rdquo;, \u0026ldquo;quarter\u0026rdquo; is automatically converted to a date format and is set as index of the DataFrame.\nThe load function also has the ability to load in custom datasets from Statsmodels. These datasets tend to be quite illustrative for different regression techniques and statistical tests. See the example below for the available options.\noptional arguments: -f FILE [FILE ...], --file FILE [FILE ...] File to load in and the alias you wish to give to the dataset (default: None) -ex, --examples Use this argument to show examples of Statsmodels to load in. See: https://www.statsmodels.org/devel/datasets/index.html (default: False) -h, --help show this help message (default: False) Example:\n2022 Feb 28, 04:19 (✨) /econometrics/ $ load MSFT_20220221_140503.xlsx -a msft 2022 Feb 28, 04:20 (✨) /econometrics/ $ show msft msft ┏━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ date ┃ open ┃ high ┃ low ┃ close ┃ adj_close ┃ volume ┃ ┡━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━┩ │ 0 │ 2019-02-19 00:00:00 │ 107.79 │ 108.66 │ 107.78 │ 108.17 │ 104.38 │ 18038500 │ ├───┼─────────────────────┼────────┼────────┼────────┼────────┼───────────┼──────────┤ │ 1 │ 2019-02-20 00:00:00 │ 107.86 │ 107.94 │ 106.29 │ 107.15 │ 103.84 │ 21607700 │ ├───┼─────────────────────┼────────┼────────┼────────┼────────┼───────────┼──────────┤ │ 2 │ 2019-02-21 00:00:00 │ 106.90 │ 109.48 │ 106.87 │ 109.41 │ 106.03 │ 29063200 │ ├───┼─────────────────────┼────────┼────────┼────────┼────────┼───────────┼──────────┤ │ 3 │ 2019-02-22 00:00:00 │ 110.05 │ 111.20 │ 109.82 │ 110.97 │ 107.54 │ 27763200 │ ├───┼─────────────────────┼────────┼────────┼────────┼────────┼───────────┼──────────┤ │ 4 │ 2019-02-25 00:00:00 │ 111.76 │ 112.18 │ 111.26 │ 111.59 │ 108.14 │ 23750600 │ ├───┼─────────────────────┼────────┼────────┼────────┼────────┼───────────┼──────────┤ │ 5 │ 2019-02-26 00:00:00 │ 111.26 │ 113.24 │ 111.17 │ 112.36 │ 108.89 │ 21536700 │ ├───┼─────────────────────┼────────┼────────┼────────┼────────┼───────────┼──────────┤ │ 6 │ 2019-02-27 00:00:00 │ 111.69 │ 112.36 │ 110.88 │ 112.17 │ 108.71 │ 21487100 │ ├───┼─────────────────────┼────────┼────────┼────────┼────────┼───────────┼──────────┤ │ 7 │ 2019-02-28 00:00:00 │ 112.04 │ 112.88 │ 111.73 │ 112.03 │ 108.57 │ 29083900 │ ├───┼─────────────────────┼────────┼────────┼────────┼────────┼───────────┼──────────┤ │ 8 │ 2019-03-01 00:00:00 │ 112.89 │ 113.02 │ 111.67 │ 112.53 │ 109.06 │ 23501200 │ ├───┼─────────────────────┼────────┼────────┼────────┼────────┼───────────┼──────────┤ │ 9 │ 2019-03-04 00:00:00 │ 113.02 │ 113.25 │ 110.80 │ 112.26 │ 108.79 │ 26608000 │ └───┴─────────────────────┴────────┴────────┴────────┴────────┴───────────┴──────────┘ 2022 Feb 28, 04:16 (✨) /econometrics/ $ load -e Examples from Statsmodels ┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ file name ┃ description ┃ ┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ anes96 │ American National Election Survey 1996 │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ cancer │ Breast Cancer Data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ ccard │ Bill Greene’s credit scoring data. │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ cancer_china │ Smoking and lung cancer in eight cities in China. │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ co2 │ Mauna Loa Weekly Atmospheric CO2 Data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ committee │ First 100 days of the US House of Representatives 1995 │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ copper │ World Copper Market 1951-1975 Dataset │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ cpunish │ US Capital Punishment dataset. │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ danish_data │ Danish Money Demand Data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ elnino │ El Nino - Sea Surface Temperatures │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ engel │ Engel (1857) food expenditure data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ fair │ Affairs dataset │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ fertility │ World Bank Fertility Data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ grunfeld │ Grunfeld (1950) Investment Data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ health │ Transplant Survival Data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ interest_inflation │ (West) German interest and inflation rate 1972-1998 │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ longley │ Longley dataset │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ macrodata │ United States Macroeconomic data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ modechoice │ Travel Mode Choice │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ nile │ Nile River flows at Ashwan 1871-1970 │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ randhie │ RAND Health Insurance Experiment Data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ scotland │ Taxation Powers Vote for the Scottish Parliament 1997 │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ spector │ Spector and Mazzeo (1980) - Program Effectiveness Data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ stackloss │ Stack loss data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ star98 │ Star98 Educational Dataset │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ statecrim │ Statewide Crime Data 2009 │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ strikes │ U.S. Strike Duration Data │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ sunspots │ Yearly sunspots data 1700-2008 │ ├────────────────────┼───────────────────────────────────────────────────────────┤ │ wage_panel │ Veila and M. Verbeek (1998): Whose Wages Do Unions Raise? │ └────────────────────┴───────────────────────────────────────────────────────────┘ 2022 Feb 28, 04:17 (✨) /econometrics/ $ load grunfeld -a gf 2022 Feb 28, 04:20 (✨) /econometrics/ $ desc -a gf gf ┏━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┓ ┃ ┃ invest ┃ value ┃ capital ┃ year ┃ ┡━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━┩ │ count │ 220.00 │ 220.00 │ 220.00 │ 220.00 │ ├───────┼─────────┼─────────┼─────────┼─────────┤ │ mean │ 133.31 │ 988.58 │ 257.11 │ 1944.50 │ ├───────┼─────────┼─────────┼─────────┼─────────┤ │ std │ 210.59 │ 1287.30 │ 293.23 │ 5.78 │ ├───────┼─────────┼─────────┼─────────┼─────────┤ │ min │ 0.93 │ 30.28 │ 0.80 │ 1935.00 │ ├───────┼─────────┼─────────┼─────────┼─────────┤ │ 25% │ 27.38 │ 160.32 │ 67.10 │ 1939.75 │ ├───────┼─────────┼─────────┼─────────┼─────────┤ │ 50% │ 52.36 │ 404.65 │ 180.10 │ 1944.50 │ ├───────┼─────────┼─────────┼─────────┼─────────┤ │ 75% │ 99.78 │ 1605.93 │ 344.50 │ 1949.25 │ ├───────┼─────────┼─────────┼─────────┼─────────┤ │ max │ 1486.70 │ 6241.70 │ 2226.30 │ 1954.00 │ └───────┴─────────┴─────────┴─────────┴─────────┘ "},{"id":374,"href":"/OpenBBTerminal/terminal/econometrics/norm/","title":"Norm","parent":"Econometrics","content":"usage: norm [-c {OPTIONS}] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Test whether the used data is normally distributed.\nNormal distribution, also known as the Gaussian distribution, is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean. In graph form, normal distribution will appear as a bell curve. [Source: Investopedia]\noptional arguments: -c {OPTIONS}, --column {OPTIONS} The column and name of the database you want to test normality for (default: None) -p, --plot Whether you wish to plot a histogram to visually depict normality (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Example for stock data (which is not normally distributed):\n2022 Feb 24, 05:31 (✨) /econometrics/ $ norm tsla.adj_close -p Normality Test [Column: adj_close | Dataset: tsla] ┏━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┓ ┃ ┃ Kurtosis ┃ Skewness ┃ Jarque-Bera ┃ Shapiro-Wilk ┃ Kolmogorov-Smirnov ┃ ┡━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩ │ Statistic │ -18.71 │ 4.85 │ 66.36 │ 0.88 │ 1.00 │ ├───────────┼──────────┼──────────┼─────────────┼──────────────┼────────────────────┤ │ p-value │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ └───────────┴──────────┴──────────┴─────────────┴──────────────┴────────────────────┘ Example for returns (which is usually normally distributed):\n2022 Feb 24, 05:36 (✨) /econometrics/ $ norm msft.return -p Normality Test [Column: return | Dataset: msft] ┏━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┓ ┃ ┃ Kurtosis ┃ Skewness ┃ Jarque-Bera ┃ Shapiro-Wilk ┃ Kolmogorov-Smirnov ┃ ┡━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩ │ Statistic │ 7.89 │ -3.56 │ 336.34 │ 0.96 │ 0.48 │ ├───────────┼──────────┼──────────┼─────────────┼──────────────┼────────────────────┤ │ p-value │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ └───────────┴──────────┴──────────┴─────────────┴──────────────┴────────────────────┘ "},{"id":375,"href":"/OpenBBTerminal/terminal/econometrics/ols/","title":"Ols","parent":"Econometrics","content":"usage: ols [-r OPTIONS [OPTIONS ...]] [-h] [-h] [--export {csv,json,xlsx}] Performs an OLS regression.\nIn statistics, ordinary least squares (OLS) is a type of linear least squares method for estimating the unknown parameters in a linear regression model. OLS chooses the parameters of a linear function of a set of explanatory variables by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values of the variable being observed) in the given dataset and those predicted by the linear function of the independent variable. [Source: Wikipedia]\noptional arguments: -r {OPTIONS} --regression {OPTIONS} The regression you would like to perform (default: None) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example (based on Longley\u0026rsquo;s Dataset):\n(✨) /econometrics/ $ load longley -a ll (✨) /econometrics/ $ desc ll ll ┏━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┓ ┃ ┃ totemp ┃ gnpdefl ┃ gnp ┃ unemp ┃ armed ┃ pop ┃ year ┃ ┡━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━┩ │ count │ 16.00 │ 16.00 │ 16.00 │ 16.00 │ 16.00 │ 16.00 │ 16.00 │ ├───────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┼─────────┤ │ mean │ 65317.00 │ 101.68 │ 387698.44 │ 3193.31 │ 2606.69 │ 117424.00 │ 1954.50 │ ├───────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┼─────────┤ │ std │ 3511.97 │ 10.79 │ 99394.94 │ 934.46 │ 695.92 │ 6956.10 │ 4.76 │ ├───────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┼─────────┤ │ min │ 60171.00 │ 83.00 │ 234289.00 │ 1870.00 │ 1456.00 │ 107608.00 │ 1947.00 │ ├───────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┼─────────┤ │ 25% │ 62712.50 │ 94.53 │ 317881.00 │ 2348.25 │ 2298.00 │ 111788.50 │ 1950.75 │ ├───────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┼─────────┤ │ 50% │ 65504.00 │ 100.60 │ 381427.00 │ 3143.50 │ 2717.50 │ 116803.50 │ 1954.50 │ ├───────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┼─────────┤ │ 75% │ 68290.50 │ 111.25 │ 454085.50 │ 3842.50 │ 3060.75 │ 122304.00 │ 1958.25 │ ├───────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┼─────────┤ │ max │ 70551.00 │ 116.90 │ 554894.00 │ 4806.00 │ 3594.00 │ 130081.00 │ 1962.00 │ └───────┴──────────┴─────────┴───────────┴─────────┴─────────┴───────────┴─────────┘ (✨) /econometrics/ $ ols -d ll.totemp -i ll.gnpdefl,ll.gnp,ll.unemp,ll.armed,ll.pop,ll.year OLS Regression Results ======================================================================================= Dep. Variable: totemp_ll R-squared (uncentered): 1.000 Model: OLS Adj. R-squared (uncentered): 1.000 Method: Least Squares F-statistic: 5.052e+04 Date: Fri, 25 Feb 2022 Prob (F-statistic): 8.20e-22 Time: 12:59:32 Log-Likelihood: -117.56 No. Observations: 16 AIC: 247.1 Df Residuals: 10 BIC: 251.8 Df Model: 6 Covariance Type: nonrobust ============================================================================== coef std err t P\u0026gt;|t| [0.025 0.975] ------------------------------------------------------------------------------ gnpdefl_ll -52.9936 129.545 -0.409 0.691 -341.638 235.650 gnp_ll 0.0711 0.030 2.356 0.040 0.004 0.138 unemp_ll -0.4235 0.418 -1.014 0.335 -1.354 0.507 armed_ll -0.5726 0.279 -2.052 0.067 -1.194 0.049 pop_ll -0.4142 0.321 -1.289 0.226 -1.130 0.302 year_ll 48.4179 17.689 2.737 0.021 9.003 87.832 ============================================================================== Omnibus: 1.443 Durbin-Watson: 1.277 Prob(Omnibus): 0.486 Jarque-Bera (JB): 0.605 Skew: 0.476 Prob(JB): 0.739 Kurtosis: 3.031 Cond. No. 4.56e+05 ============================================================================== Notes: [1] R² is computed without centering (uncentered) since the model does not contain a constant. [2] Standard Errors assume that the covariance matrix of the errors is correctly specified. [3] The condition number is large, 4.56e+05. This might indicate that there are strong multicollinearity or other numerical problems. Warnings: kurtosistest only valid for n\u0026gt;=20 ... continuing anyway, n=16 "},{"id":376,"href":"/OpenBBTerminal/terminal/econometrics/panel/","title":"Panel","parent":"Econometrics","content":"usage: usage: panel [-r {OPTIONS} [{OPTIONS} ...]] [-t {pols,re,bols,fe,fdols,POLS,RE,BOLS,FE,FDOLS}] [-ee] [-te] [-h] [--export {csv,json,xlsx}]] Performs regression analysis on Panel Data. There are a multitude of options to select from to fit the needs of restrictions of the dataset.\nPanel data includes observations on multiple entities – individuals, firms, countries – over multiple time periods. In most classical applications of panel data the number of entities, N, is large and the number of time periods, T, is small (often between 2 and 5). Most asymptotic theory for these estimators has been developed under an assumption that N will diverge while T is fixed. [Source: LinearModels]\nPlease refer to the documentation of LinearModels (or any Econometrics Textbook) to understand the difference between the models.\noptional arguments: -r {OPTIONS}, --regression {OPTIONS} The regression you would like to perform, first variable is the dependent variable, consecutive variables the independent variables. -t {pols,re,bols,fe,fdols,POLS,RE,BOLS,FE,FDOLS}, --type {pols,re,bols,fe,fdols,POLS,RE,BOLS,FE,FDOLS} The type of regression you wish to perform. This can be either pols (Pooled OLS), re (Random Effects), bols (Between OLS), fe (Fixed Effects) or fdols (First Difference OLS) (default: pols)Effects) or fdols (First Difference OLS) (default: pols) -ee, --entity_effects Using this command creates entity effects, which is equivalent to including dummies for each entity. This is only used within Fixed Effects estimations (when type is set to 'fe') (default: False) -te, --time_effects Using this command creates time effects, which is equivalent to including dummies for each time. This is only used within Fixed Effects estimations (when type is set to 'fe') (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Below you can find examples of the dataset from Vella and M. Verbeek (1998), “Whose Wages Do Unions Raise? A Dynamic Model of Unionism and Wage Rate Determination for Young Men,” Journal of Applied Econometrics 13, 163-183. This is a well-known dataset also used within Chapter 14 of Introduction to Econometrics by Jeffrey Wooldridge. For these regressions, LinearModels is used.\n2022 Feb 25, 08:07 (✨) /econometrics/ $ load wage_panel -a wp 2022 Feb 25, 08:08 (✨) /econometrics/ $ type wp ┏━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ columns ┃ dtypes ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━┩ │ nr │ int64 │ ├────────────┼──────────┤ │ year │ category │ ├────────────┼──────────┤ │ black │ int64 │ ├────────────┼──────────┤ │ exper │ int64 │ ├────────────┼──────────┤ │ hisp │ int64 │ ├────────────┼──────────┤ │ hours │ int64 │ ├────────────┼──────────┤ │ married │ int64 │ ├────────────┼──────────┤ │ educ │ int64 │ ├────────────┼──────────┤ │ union │ int64 │ ├────────────┼──────────┤ │ lwage │ float64 │ ├────────────┼──────────┤ │ expersq │ int64 │ ├────────────┼──────────┤ │ occupation │ int64 │ └────────────┴──────────┘ 2022 Feb 25, 08:09 (✨) /econometrics/ $ index wp -i nr,year 2022 Feb 25, 08:10 (✨) /econometrics/ $ type wp.year -f category 2022 Feb 25, 08:10 (✨) /econometrics/ $ show wp wp ┏━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ nr ┃ year ┃ black ┃ exper ┃ hisp ┃ hours ┃ married ┃ educ ┃ union ┃ lwage ┃ expersq ┃ occupation ┃ ┡━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━┩ │ (13, 1980) │ 13.00 │ 1980.00 │ 0.00 │ 1.00 │ 0.00 │ 2672.00 │ 0.00 │ 14.00 │ 0.00 │ 1.20 │ 1.00 │ 9.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1981) │ 13.00 │ 1981.00 │ 0.00 │ 2.00 │ 0.00 │ 2320.00 │ 0.00 │ 14.00 │ 1.00 │ 1.85 │ 4.00 │ 9.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1982) │ 13.00 │ 1982.00 │ 0.00 │ 3.00 │ 0.00 │ 2940.00 │ 0.00 │ 14.00 │ 0.00 │ 1.34 │ 9.00 │ 9.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1983) │ 13.00 │ 1983.00 │ 0.00 │ 4.00 │ 0.00 │ 2960.00 │ 0.00 │ 14.00 │ 0.00 │ 1.43 │ 16.00 │ 9.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1984) │ 13.00 │ 1984.00 │ 0.00 │ 5.00 │ 0.00 │ 3071.00 │ 0.00 │ 14.00 │ 0.00 │ 1.57 │ 25.00 │ 5.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1985) │ 13.00 │ 1985.00 │ 0.00 │ 6.00 │ 0.00 │ 2864.00 │ 0.00 │ 14.00 │ 0.00 │ 1.70 │ 36.00 │ 2.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1986) │ 13.00 │ 1986.00 │ 0.00 │ 7.00 │ 0.00 │ 2994.00 │ 0.00 │ 14.00 │ 0.00 │ -0.72 │ 49.00 │ 2.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (13, 1987) │ 13.00 │ 1987.00 │ 0.00 │ 8.00 │ 0.00 │ 2640.00 │ 0.00 │ 14.00 │ 0.00 │ 1.67 │ 64.00 │ 2.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (17, 1980) │ 17.00 │ 1980.00 │ 0.00 │ 4.00 │ 0.00 │ 2484.00 │ 0.00 │ 13.00 │ 0.00 │ 1.68 │ 16.00 │ 2.00 │ ├────────────┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ (17, 1981) │ 17.00 │ 1981.00 │ 0.00 │ 5.00 │ 0.00 │ 2804.00 │ 0.00 │ 13.00 │ 0.00 │ 1.52 │ 25.00 │ 2.00 │ └────────────┴───────┴─────────┴───────┴───────┴──────┴─────────┴─────────┴───────┴───────┴───────┴─────────┴────────────┘ Pooled OLS Estimation:\n(✨) /econometrics/ $ panel -d wp.lwage -i wp.black,wp.hisp,wp.exper,wp.expersq,wp.married,wp.educ,wp.union,wp.year PooledOLS Estimation Summary ================================================================================ Dep. Variable: lwage_wp R-squared: 0.1893 Estimator: PooledOLS R-squared (Between): 0.2066 No. Observations: 4360 R-squared (Within): 0.1692 Date: Fri, Feb 25 2022 R-squared (Overall): 0.1893 Time: 14:51:08 Log-likelihood -2982.0 Cov. Estimator: Unadjusted F-statistic: 72.459 Entities: 545 P-value 0.0000 Avg Obs: 8.0000 Distribution: F(14,4345) Min Obs: 8.0000 Max Obs: 8.0000 F-statistic (robust): 72.459 P-value 0.0000 Time periods: 8 Distribution: F(14,4345) Avg Obs: 545.00 Min Obs: 545.00 Max Obs: 545.00 Parameter Estimates ================================================================================ Parameter Std. Err. T-stat P-value Lower CI Upper CI -------------------------------------------------------------------------------- const 0.0921 0.0783 1.1761 0.2396 -0.0614 0.2455 black_wp -0.1392 0.0236 -5.9049 0.0000 -0.1855 -0.0930 hisp_wp 0.0160 0.0208 0.7703 0.4412 -0.0248 0.0568 exper_wp 0.0672 0.0137 4.9095 0.0000 0.0404 0.0941 expersq_wp -0.0024 0.0008 -2.9413 0.0033 -0.0040 -0.0008 married_wp 0.1083 0.0157 6.8997 0.0000 0.0775 0.1390 educ_wp 0.0913 0.0052 17.442 0.0000 0.0811 0.1016 union_wp 0.1825 0.0172 10.635 0.0000 0.1488 0.2161 year_wp.1981 0.0583 0.0304 1.9214 0.0548 -0.0012 0.1178 year_wp.1982 0.0628 0.0332 1.8900 0.0588 -0.0023 0.1279 year_wp.1983 0.0620 0.0367 1.6915 0.0908 -0.0099 0.1339 year_wp.1984 0.0905 0.0401 2.2566 0.0241 0.0119 0.1691 year_wp.1985 0.1092 0.0434 2.5200 0.0118 0.0243 0.1942 year_wp.1986 0.1420 0.0464 3.0580 0.0022 0.0509 0.2330 year_wp.1987 0.1738 0.0494 3.5165 0.0004 0.0769 0.2707 ================================================================================ Between OLS Estimation:\n(✨) /econometrics/ $ panel -d wp.lwage -i wp.black,wp.hisp,wp.exper,wp.married,wp.educ,wp.union -r bols BetweenOLS Estimation Summary ================================================================================ Dep. Variable: lwage_wp R-squared: 0.2155 Estimator: BetweenOLS R-squared (Between): 0.2155 No. Observations: 545 R-squared (Within): 0.1141 Date: Fri, Feb 25 2022 R-squared (Overall): 0.1686 Time: 14:51:15 Log-likelihood -194.54 Cov. Estimator: Unadjusted F-statistic: 24.633 Entities: 545 P-value 0.0000 Avg Obs: 8.0000 Distribution: F(6,538) Min Obs: 8.0000 Max Obs: 8.0000 F-statistic (robust): 24.633 P-value 0.0000 Time periods: 8 Distribution: F(6,538) Avg Obs: 545.00 Min Obs: 545.00 Max Obs: 545.00 Parameter Estimates ============================================================================== Parameter Std. Err. T-stat P-value Lower CI Upper CI ------------------------------------------------------------------------------ const 0.2836 0.1784 1.5897 0.1125 -0.0668 0.6340 black_wp -0.1414 0.0489 -2.8915 0.0040 -0.2375 -0.0453 hisp_wp 0.0100 0.0426 0.2355 0.8139 -0.0737 0.0938 exper_wp 0.0278 0.0113 2.4538 0.0144 0.0055 0.0501 married_wp 0.1416 0.0412 3.4346 0.0006 0.0606 0.2226 educ_wp 0.0913 0.0107 8.5159 0.0000 0.0702 0.1123 union_wp 0.2587 0.0460 5.6214 0.0000 0.1683 0.3491 ============================================================================== Random Effects Estimation:\n(✨) /econometrics/ $ panel -d wp.lwage -i wp.black,wp.hisp,wp.exper,wp.expersq,wp.married,wp.educ,wp.union,wp.year -r re RandomEffects Estimation Summary ================================================================================ Dep. Variable: lwage_wp R-squared: 0.1806 Estimator: RandomEffects R-squared (Between): 0.1853 No. Observations: 4360 R-squared (Within): 0.1799 Date: Fri, Feb 25 2022 R-squared (Overall): 0.1828 Time: 14:56:19 Log-likelihood -1622.5 Cov. Estimator: Unadjusted F-statistic: 68.409 Entities: 545 P-value 0.0000 Avg Obs: 8.0000 Distribution: F(14,4345) Min Obs: 8.0000 Max Obs: 8.0000 F-statistic (robust): 68.409 P-value 0.0000 Time periods: 8 Distribution: F(14,4345) Avg Obs: 545.00 Min Obs: 545.00 Max Obs: 545.00 Parameter Estimates ================================================================================ Parameter Std. Err. T-stat P-value Lower CI Upper CI -------------------------------------------------------------------------------- const 0.0234 0.1514 0.1546 0.8771 -0.2735 0.3203 black_wp -0.1394 0.0480 -2.9054 0.0037 -0.2334 -0.0453 hisp_wp 0.0217 0.0428 0.5078 0.6116 -0.0622 0.1057 exper_wp 0.1058 0.0154 6.8706 0.0000 0.0756 0.1361 expersq_wp -0.0047 0.0007 -6.8623 0.0000 -0.0061 -0.0034 married_wp 0.0638 0.0168 3.8035 0.0001 0.0309 0.0967 educ_wp 0.0919 0.0107 8.5744 0.0000 0.0709 0.1129 union_wp 0.1059 0.0179 5.9289 0.0000 0.0709 0.1409 year_wp.1981 0.0404 0.0247 1.6362 0.1019 -0.0080 0.0889 year_wp.1982 0.0309 0.0324 0.9519 0.3412 -0.0327 0.0944 year_wp.1983 0.0202 0.0417 0.4840 0.6284 -0.0616 0.1020 year_wp.1984 0.0430 0.0515 0.8350 0.4037 -0.0580 0.1440 year_wp.1985 0.0577 0.0615 0.9383 0.3482 -0.0629 0.1782 year_wp.1986 0.0918 0.0716 1.2834 0.1994 -0.0485 0.2321 year_wp.1987 0.1348 0.0817 1.6504 0.0989 -0.0253 0.2950 ================================================================================ Fixed Effects Estimation (no effects):\n(✨) /econometrics/ $ panel -d wp.lwage -i wp.expersq,wp.union,wp.married,wp.year -r fe PanelOLS Estimation Summary ================================================================================ Dep. Variable: lwage_wp R-squared: 0.1246 Estimator: PanelOLS R-squared (Between): 0.0902 No. Observations: 4360 R-squared (Within): 0.1646 Date: Fri, Feb 25 2022 R-squared (Overall): 0.1246 Time: 14:51:21 Log-likelihood -3149.2 Cov. Estimator: Unadjusted F-statistic: 61.920 Entities: 545 P-value 0.0000 Avg Obs: 8.0000 Distribution: F(10,4349) Min Obs: 8.0000 Max Obs: 8.0000 F-statistic (robust): 61.920 P-value 0.0000 Time periods: 8 Distribution: F(10,4349) Avg Obs: 545.00 Min Obs: 545.00 Max Obs: 545.00 Parameter Estimates ================================================================================ Parameter Std. Err. T-stat P-value Lower CI Upper CI -------------------------------------------------------------------------------- const 1.3454 0.0222 60.606 0.0000 1.3019 1.3889 expersq_wp -0.0021 0.0003 -7.5081 0.0000 -0.0026 -0.0015 union_wp 0.1768 0.0176 10.032 0.0000 0.1423 0.2114 married_wp 0.1521 0.0159 9.5417 0.0000 0.1209 0.1834 year_wp.1981 0.1187 0.0303 3.9144 0.0001 0.0592 0.1781 year_wp.1982 0.1843 0.0306 6.0168 0.0000 0.1243 0.2444 year_wp.1983 0.2431 0.0313 7.7581 0.0000 0.1817 0.3046 year_wp.1984 0.3322 0.0324 10.236 0.0000 0.2685 0.3958 year_wp.1985 0.4112 0.0341 12.048 0.0000 0.3443 0.4781 year_wp.1986 0.5039 0.0365 13.806 0.0000 0.4323 0.5754 year_wp.1987 0.5952 0.0396 15.026 0.0000 0.5176 0.6729 ================================================================================ Fixed Effects Estimation (entity effects):\n(✨) /econometrics/ $ panel -d wp.lwage -i wp.expersq,wp.married,wp.union,wp.year -r fe -e PanelOLS Estimation Summary ================================================================================ Dep. Variable: lwage_wp R-squared: 0.1806 Estimator: PanelOLS R-squared (Between): -0.0052 No. Observations: 4360 R-squared (Within): 0.1806 Date: Fri, Feb 25 2022 R-squared (Overall): 0.0807 Time: 14:52:24 Log-likelihood -1324.8 Cov. Estimator: Unadjusted F-statistic: 83.851 Entities: 545 P-value 0.0000 Avg Obs: 8.0000 Distribution: F(10,3805) Min Obs: 8.0000 Max Obs: 8.0000 F-statistic (robust): 83.851 P-value 0.0000 Time periods: 8 Distribution: F(10,3805) Avg Obs: 545.00 Min Obs: 545.00 Max Obs: 545.00 Parameter Estimates ================================================================================ Parameter Std. Err. T-stat P-value Lower CI Upper CI -------------------------------------------------------------------------------- const 1.4260 0.0183 77.748 0.0000 1.3901 1.4620 expersq_wp -0.0052 0.0007 -7.3612 0.0000 -0.0066 -0.0038 union_wp 0.0800 0.0193 4.1430 0.0000 0.0421 0.1179 married_wp 0.0467 0.0183 2.5494 0.0108 0.0108 0.0826 year_wp.1981 0.1512 0.0219 6.8883 0.0000 0.1082 0.1942 year_wp.1982 0.2530 0.0244 10.360 0.0000 0.2051 0.3008 year_wp.1983 0.3544 0.0292 12.121 0.0000 0.2971 0.4118 year_wp.1984 0.4901 0.0362 13.529 0.0000 0.4191 0.5611 year_wp.1985 0.6175 0.0452 13.648 0.0000 0.5288 0.7062 year_wp.1986 0.7655 0.0561 13.638 0.0000 0.6555 0.8755 year_wp.1987 0.9250 0.0688 13.450 0.0000 0.7902 1.0599 ================================================================================ F-test for Poolability: 9.1568 P-value: 0.0000 Distribution: F(544,3805) Included effects: Entity Fixed Effects Estimation (time effects):\n(✨) /econometrics/ $ panel -d wp.lwage -i wp.expersq,wp.married,wp.union -r fe -t PanelOLS Estimation Summary ================================================================================ Dep. Variable: lwage_wp R-squared: 0.0535 Estimator: PanelOLS R-squared (Between): 0.0902 No. Observations: 4360 R-squared (Within): -0.1037 Date: Fri, Feb 25 2022 R-squared (Overall): 0.0005 Time: 14:52:45 Log-likelihood -3149.2 Cov. Estimator: Unadjusted F-statistic: 81.891 Entities: 545 P-value 0.0000 Avg Obs: 8.0000 Distribution: F(3,4349) Min Obs: 8.0000 Max Obs: 8.0000 F-statistic (robust): 81.891 P-value 0.0000 Time periods: 8 Distribution: F(3,4349) Avg Obs: 545.00 Min Obs: 545.00 Max Obs: 545.00 Parameter Estimates ============================================================================== Parameter Std. Err. T-stat P-value Lower CI Upper CI ------------------------------------------------------------------------------ const 1.6440 0.0173 94.902 0.0000 1.6100 1.6779 expersq_wp -0.0021 0.0003 -7.5081 0.0000 -0.0026 -0.0015 union_wp 0.1768 0.0176 10.032 0.0000 0.1423 0.2114 married_wp 0.1521 0.0159 9.5417 0.0000 0.1209 0.1834 ============================================================================== F-test for Poolability: 39.988 P-value: 0.0000 Distribution: F(7,4349) Included effects: Time Fixed Effects Estimation (entity and time effects):\n(✨) /econometrics/ $ panel -d wp.lwage -i wp.expersq,wp.married,wp.union -r fe -t -e PanelOLS Estimation Summary ================================================================================ Dep. Variable: lwage_wp R-squared: 0.0216 Estimator: PanelOLS R-squared (Between): -0.0052 No. Observations: 4360 R-squared (Within): -0.4809 Date: Fri, Feb 25 2022 R-squared (Overall): -0.2253 Time: 14:52:53 Log-likelihood -1324.8 Cov. Estimator: Unadjusted F-statistic: 27.959 Entities: 545 P-value 0.0000 Avg Obs: 8.0000 Distribution: F(3,3805) Min Obs: 8.0000 Max Obs: 8.0000 F-statistic (robust): 27.959 P-value 0.0000 Time periods: 8 Distribution: F(3,3805) Avg Obs: 545.00 Min Obs: 545.00 Max Obs: 545.00 Parameter Estimates ============================================================================== Parameter Std. Err. T-stat P-value Lower CI Upper CI ------------------------------------------------------------------------------ const 1.8706 0.0378 49.430 0.0000 1.7964 1.9448 expersq_wp -0.0052 0.0007 -7.3612 0.0000 -0.0066 -0.0038 union_wp 0.0800 0.0193 4.1430 0.0000 0.0421 0.1179 married_wp 0.0467 0.0183 2.5494 0.0108 0.0108 0.0826 ============================================================================== F-test for Poolability: 10.067 P-value: 0.0000 Distribution: F(551,3805) Included effects: Entity, Time First Difference OLS Estimation:\n(✨) /econometrics/ $ panel -d wp.lwage -i wp.exper,wp.expersq,wp.married,wp.union -r fdols FirstDifferenceOLS Estimation Summary ================================================================================ Dep. Variable: lwage_wp R-squared: 0.0268 Estimator: FirstDifferenceOLS R-squared (Between): 0.5491 No. Observations: 3815 R-squared (Within): 0.1763 Date: Fri, Feb 25 2022 R-squared (Overall): 0.5328 Time: 14:53:16 Log-likelihood -2305.5 Cov. Estimator: Unadjusted F-statistic: 26.208 Entities: 545 P-value 0.0000 Avg Obs: 8.0000 Distribution: F(4,3811) Min Obs: 8.0000 Max Obs: 8.0000 F-statistic (robust): 26.208 P-value 0.0000 Time periods: 8 Distribution: F(4,3811) Avg Obs: 545.00 Min Obs: 545.00 Max Obs: 545.00 Parameter Estimates ============================================================================== Parameter Std. Err. T-stat P-value Lower CI Upper CI ------------------------------------------------------------------------------ exper_wp 0.1158 0.0196 5.9096 0.0000 0.0773 0.1542 expersq_wp -0.0039 0.0014 -2.8005 0.0051 -0.0066 -0.0012 union_wp 0.0428 0.0197 2.1767 0.0296 0.0042 0.0813 married_wp 0.0381 0.0229 1.6633 0.0963 -0.0068 0.0831 ============================================================================== "},{"id":377,"href":"/OpenBBTerminal/terminal/econometrics/plot/","title":"Plot","parent":"Econometrics","content":"usage: plot [-c {OPTIONS}] [-h] [--export {png,jpg,pdf,svg}] Plot data based on the index. This functionality does not work for Panel Data unless creating a subset of the data that has only a singular index.\noptional arguments: -c {OPTIONS} --column {OPTIONS} Column to plot along the index (default: None) -h, --help show this help message (default: False) --export {png,jpg,pdf,svg} Export figure into png, jpg, pdf, svg (default: ) Example:\n2022 Jun 01, 06:45 (🦋) /econometrics/ $ load macrodata -a us_macro 2022 Jun 01, 06:45 (🦋) /econometrics/ $ index us_macro -i year -d Successfully updated 'us_macro' index to be 'year' 2022 Jun 01, 06:46 (🦋) /econometrics/ $ show us_macro Dataset us_macro | Showing 10 of 203 rows ┏━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━━━┓ ┃ ┃ quarter ┃ realgdp ┃ realcons ┃ realinv ┃ realgovt ┃ realdpi ┃ cpi ┃ m1 ┃ tbilrate ┃ unemp ┃ pop ┃ infl ┃ realint ┃ ┡━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━━━┩ │ 1959.0 │ 1.00 │ 2710.35 │ 1707.40 │ 286.90 │ 470.05 │ 1886.90 │ 28.98 │ 139.70 │ 2.82 │ 5.80 │ 177.15 │ 0.00 │ 0.00 │ ├────────┼─────────┼─────────┼──────────┼─────────┼──────────┼─────────┼───────┼────────┼──────────┼───────┼────────┼───────┼─────────┤ │ 1959.0 │ 2.00 │ 2778.80 │ 1733.70 │ 310.86 │ 481.30 │ 1919.70 │ 29.15 │ 141.70 │ 3.08 │ 5.10 │ 177.83 │ 2.34 │ 0.74 │ ├────────┼─────────┼─────────┼──────────┼─────────┼──────────┼─────────┼───────┼────────┼──────────┼───────┼────────┼───────┼─────────┤ │ 1959.0 │ 3.00 │ 2775.49 │ 1751.80 │ 289.23 │ 491.26 │ 1916.40 │ 29.35 │ 140.50 │ 3.82 │ 5.30 │ 178.66 │ 2.74 │ 1.09 │ ├────────┼─────────┼─────────┼──────────┼─────────┼──────────┼─────────┼───────┼────────┼──────────┼───────┼────────┼───────┼─────────┤ │ 1959.0 │ 4.00 │ 2785.20 │ 1753.70 │ 299.36 │ 484.05 │ 1931.30 │ 29.37 │ 140.00 │ 4.33 │ 5.60 │ 179.39 │ 0.27 │ 4.06 │ ├────────┼─────────┼─────────┼──────────┼─────────┼──────────┼─────────┼───────┼────────┼──────────┼───────┼────────┼───────┼─────────┤ │ 1960.0 │ 1.00 │ 2847.70 │ 1770.50 │ 331.72 │ 462.20 │ 1955.50 │ 29.54 │ 139.60 │ 3.50 │ 5.20 │ 180.01 │ 2.31 │ 1.19 │ ├────────┼─────────┼─────────┼──────────┼─────────┼──────────┼─────────┼───────┼────────┼──────────┼───────┼────────┼───────┼─────────┤ │ 1960.0 │ 2.00 │ 2834.39 │ 1792.90 │ 298.15 │ 460.40 │ 1966.10 │ 29.55 │ 140.20 │ 2.68 │ 5.20 │ 180.67 │ 0.14 │ 2.55 │ ├────────┼─────────┼─────────┼──────────┼─────────┼──────────┼─────────┼───────┼────────┼──────────┼───────┼────────┼───────┼─────────┤ │ 1960.0 │ 3.00 │ 2839.02 │ 1785.80 │ 296.38 │ 474.68 │ 1967.80 │ 29.75 │ 140.90 │ 2.36 │ 5.60 │ 181.53 │ 2.70 │ -0.34 │ ├────────┼─────────┼─────────┼──────────┼─────────┼──────────┼─────────┼───────┼────────┼──────────┼───────┼────────┼───────┼─────────┤ │ 1960.0 │ 4.00 │ 2802.62 │ 1788.20 │ 259.76 │ 476.43 │ 1966.60 │ 29.84 │ 141.10 │ 2.29 │ 6.30 │ 182.29 │ 1.21 │ 1.08 │ ├────────┼─────────┼─────────┼──────────┼─────────┼──────────┼─────────┼───────┼────────┼──────────┼───────┼────────┼───────┼─────────┤ │ 1961.0 │ 1.00 │ 2819.26 │ 1787.70 │ 266.40 │ 475.85 │ 1984.50 │ 29.81 │ 142.10 │ 2.37 │ 6.80 │ 182.99 │ -0.40 │ 2.77 │ ├────────┼─────────┼─────────┼──────────┼─────────┼──────────┼─────────┼───────┼────────┼──────────┼───────┼────────┼───────┼─────────┤ │ 1961.0 │ 2.00 │ 2872.01 │ 1814.30 │ 286.25 │ 480.33 │ 2014.40 │ 29.92 │ 142.90 │ 2.29 │ 7.00 │ 183.69 │ 1.47 │ 0.81 │ └────────┴─────────┴─────────┴──────────┴─────────┴──────────┴─────────┴───────┴────────┴──────────┴───────┴────────┴───────┴─────────┘ 2022 Jun 01, 06:44 (🦋) /econometrics/ $ plot us_macro.unemp "},{"id":378,"href":"/OpenBBTerminal/terminal/econometrics/remove/","title":"Remove","parent":"Econometrics","content":"usage: remove [-n NAME] [-h] Remove a dataset from the loaded dataset list\noptional arguments: -n NAME, --name NAME The name of the dataset you want to remove (default: None) -h, --help show this help message (default: False) Example:\n2022 Feb 24, 04:37 (✨) /econometrics/ $ remove thesis "},{"id":379,"href":"/OpenBBTerminal/terminal/econometrics/rename/","title":"Rename","parent":"Econometrics","content":"usage: rename [-d {wp,nile,nile_2}] [-o OLDCOL] [-n NEWCOL] [-h] The column you want to rename from a dataset.\noptional arguments: -d {wp,nile,nile_2}, --dataset {wp,nile,nile_2} Dataset that will get a column renamed (default: None) -o OLDCOL, --oldcol OLDCOL Old column from dataset to be renamed (default: None) -n NEWCOL, --newcol NEWCOL New column from dataset to be renamed (default: None) -h, --help show this help message (default: False) Example:\n2022 May 31, 04:57 (🦋) /econometrics/ $ load wage_panel -a wp 2022 May 31, 04:58 (🦋) /econometrics/ $ rename wp -o year -n date 2022 May 31, 04:58 (🦋) /econometrics/ $ show wp Dataset wp | Showing 10 of 4360 rows ┏━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ nr ┃ date ┃ black ┃ exper ┃ hisp ┃ hours ┃ married ┃ educ ┃ union ┃ lwage ┃ expersq ┃ occupation ┃ ┡━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━┩ │ 0 │ 13.00 │ 1980.00 │ 0.00 │ 1.00 │ 0.00 │ 2672.00 │ 0.00 │ 14.00 │ 0.00 │ 1.20 │ 1.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 1 │ 13.00 │ 1981.00 │ 0.00 │ 2.00 │ 0.00 │ 2320.00 │ 0.00 │ 14.00 │ 1.00 │ 1.85 │ 4.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 2 │ 13.00 │ 1982.00 │ 0.00 │ 3.00 │ 0.00 │ 2940.00 │ 0.00 │ 14.00 │ 0.00 │ 1.34 │ 9.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 3 │ 13.00 │ 1983.00 │ 0.00 │ 4.00 │ 0.00 │ 2960.00 │ 0.00 │ 14.00 │ 0.00 │ 1.43 │ 16.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 4 │ 13.00 │ 1984.00 │ 0.00 │ 5.00 │ 0.00 │ 3071.00 │ 0.00 │ 14.00 │ 0.00 │ 1.57 │ 25.00 │ 5.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 5 │ 13.00 │ 1985.00 │ 0.00 │ 6.00 │ 0.00 │ 2864.00 │ 0.00 │ 14.00 │ 0.00 │ 1.70 │ 36.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 6 │ 13.00 │ 1986.00 │ 0.00 │ 7.00 │ 0.00 │ 2994.00 │ 0.00 │ 14.00 │ 0.00 │ -0.72 │ 49.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 7 │ 13.00 │ 1987.00 │ 0.00 │ 8.00 │ 0.00 │ 2640.00 │ 0.00 │ 14.00 │ 0.00 │ 1.67 │ 64.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 8 │ 17.00 │ 1980.00 │ 0.00 │ 4.00 │ 0.00 │ 2484.00 │ 0.00 │ 13.00 │ 0.00 │ 1.68 │ 16.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 9 │ 17.00 │ 1981.00 │ 0.00 │ 5.00 │ 0.00 │ 2804.00 │ 0.00 │ 13.00 │ 0.00 │ 1.52 │ 25.00 │ 2.00 │ └───┴───────┴─────────┴───────┴───────┴──────┴─────────┴─────────┴───────┴───────┴───────┴─────────┴────────────┘ "},{"id":380,"href":"/OpenBBTerminal/terminal/econometrics/root/","title":"Root","parent":"Econometrics","content":"usage: root [-c {OPTIONS}] [-r {c,ct,ctt,nc}] [-k {c,ct}] [-h] [--export {csv,json,xlsx}] Show unit root tests of a column of a dataset.\nIn probability theory and statistics, a unit root is a feature of some stochastic processes (such as random walks) that can cause problems in statistical inference involving time series models. A linear stochastic process has a unit root if 1 is a root of the process\u0026rsquo;s characteristic equation. Such a process is non-stationary but does not always have a trend. [Source: Wikipedia]\noptional arguments: -c {OPTIONS}, --column {OPTIONS} The column and name of the database you want test unit root for (default: None) -r {c,ct,ctt,nc}, --fuller_reg {c,ct,ctt,nc} Type of regression. Can be ‘c’,’ct’,’ctt’,’nc’. c - Constant and t - trend order (default: c) -k {c,ct}, --kps_reg {c,ct} Type of regression. Can be ‘c’,’ct'. c - Constant and t - trend order (default: c) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Jun 01, 06:47 (🦋) /econometrics/ $ load fair 2022 Jun 01, 06:47 (🦋) /econometrics/ $ root fair.yrs_married Unitroot from dataset 'fair of 'yrs_married' ┏━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━┓ ┃ ┃ ADF ┃ KPSS ┃ ┡━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━┩ │ Test Statistic │ -8.08 │ 7.01 │ ├────────────────┼──────────┼───────┤ │ P-Value │ 0.00 │ 0.01 │ ├────────────────┼──────────┼───────┤ │ NLags │ 34.00 │ 26.00 │ ├────────────────┼──────────┼───────┤ │ Nobs │ 6331.00 │ 0.00 │ ├────────────────┼──────────┼───────┤ │ ICBest │ 42958.72 │ 0.00 │ └────────────────┴──────────┴───────┘ "},{"id":381,"href":"/OpenBBTerminal/terminal/econometrics/show/","title":"Show","parent":"Econometrics","content":"usage: show [-n {OPTIONS}] [-l LIMIT] [-s SORTCOL [SORTCOL ...]] [-a] [-h] Show a portion of the, with --name defined, dataset or show a portion of all datasets when --name is not defined.\noptional arguments: -n {OPTIONS}, --name {OPTIONS} The name of the database you want to show data for (default: None) -l LIMIT, --limit LIMIT The amount of data you wish to show (default: 10) -s SORTCOL [SORTCOL ...], --sortcol SORTCOL [SORTCOL ...] Sort based on a column in the DataFrame (default: ) -a, --ascend Use this argument to sort in a descending order (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Mar 04, 05:57 (✨) /econometrics/ $ load longley -a ll 2022 Mar 04, 05:57 (✨) /econometrics/ $ index ll -i year -d 2022 Mar 04, 05:57 (✨) /econometrics/ $ show ll -s unemp Dataset ll | Showing 10 of 16 rows ┏━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━┓ ┃ ┃ totemp ┃ gnpdefl ┃ gnp ┃ unemp ┃ armed ┃ pop ┃ ┡━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━┩ │ 1961.0 │ 69331.00 │ 115.70 │ 518173.00 │ 4806.00 │ 2572.00 │ 127852.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1958.0 │ 66513.00 │ 110.80 │ 444546.00 │ 4681.00 │ 2637.00 │ 121950.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1962.0 │ 70551.00 │ 116.90 │ 554894.00 │ 4007.00 │ 2827.00 │ 130081.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1960.0 │ 69564.00 │ 114.20 │ 502601.00 │ 3931.00 │ 2514.00 │ 125368.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1959.0 │ 68655.00 │ 112.60 │ 482704.00 │ 3813.00 │ 2552.00 │ 123366.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1949.0 │ 60171.00 │ 88.20 │ 258054.00 │ 3682.00 │ 1616.00 │ 109773.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1954.0 │ 63761.00 │ 100.00 │ 363112.00 │ 3578.00 │ 3350.00 │ 116219.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1950.0 │ 61187.00 │ 89.50 │ 284599.00 │ 3351.00 │ 1650.00 │ 110929.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1957.0 │ 68169.00 │ 108.40 │ 442769.00 │ 2936.00 │ 2798.00 │ 120445.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1955.0 │ 66019.00 │ 101.20 │ 397469.00 │ 2904.00 │ 3048.00 │ 117388.00 │ └────────┴──────────┴─────────┴───────────┴─────────┴─────────┴───────────┘ 2022 Mar 04, 05:57 (✨) /econometrics/ $ load wage_panel -a wp 2022 Mar 04, 05:58 (✨) /econometrics/ $ show Dataset ll | Showing 10 of 16 rows ┏━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━┓ ┃ ┃ totemp ┃ gnpdefl ┃ gnp ┃ unemp ┃ armed ┃ pop ┃ ┡━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━┩ │ 1947.0 │ 60323.00 │ 83.00 │ 234289.00 │ 2356.00 │ 1590.00 │ 107608.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1948.0 │ 61122.00 │ 88.50 │ 259426.00 │ 2325.00 │ 1456.00 │ 108632.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1949.0 │ 60171.00 │ 88.20 │ 258054.00 │ 3682.00 │ 1616.00 │ 109773.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1950.0 │ 61187.00 │ 89.50 │ 284599.00 │ 3351.00 │ 1650.00 │ 110929.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1951.0 │ 63221.00 │ 96.20 │ 328975.00 │ 2099.00 │ 3099.00 │ 112075.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1952.0 │ 63639.00 │ 98.10 │ 346999.00 │ 1932.00 │ 3594.00 │ 113270.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1953.0 │ 64989.00 │ 99.00 │ 365385.00 │ 1870.00 │ 3547.00 │ 115094.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1954.0 │ 63761.00 │ 100.00 │ 363112.00 │ 3578.00 │ 3350.00 │ 116219.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1955.0 │ 66019.00 │ 101.20 │ 397469.00 │ 2904.00 │ 3048.00 │ 117388.00 │ ├────────┼──────────┼─────────┼───────────┼─────────┼─────────┼───────────┤ │ 1956.0 │ 67857.00 │ 104.60 │ 419180.00 │ 2822.00 │ 2857.00 │ 118734.00 │ └────────┴──────────┴─────────┴───────────┴─────────┴─────────┴───────────┘ Dataset wp | Showing 10 of 4360 rows ┏━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ nr ┃ year ┃ black ┃ exper ┃ hisp ┃ hours ┃ married ┃ educ ┃ union ┃ lwage ┃ expersq ┃ occupation ┃ ┡━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━┩ │ 0 │ 13.00 │ 1980.00 │ 0.00 │ 1.00 │ 0.00 │ 2672.00 │ 0.00 │ 14.00 │ 0.00 │ 1.20 │ 1.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 1 │ 13.00 │ 1981.00 │ 0.00 │ 2.00 │ 0.00 │ 2320.00 │ 0.00 │ 14.00 │ 1.00 │ 1.85 │ 4.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 2 │ 13.00 │ 1982.00 │ 0.00 │ 3.00 │ 0.00 │ 2940.00 │ 0.00 │ 14.00 │ 0.00 │ 1.34 │ 9.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 3 │ 13.00 │ 1983.00 │ 0.00 │ 4.00 │ 0.00 │ 2960.00 │ 0.00 │ 14.00 │ 0.00 │ 1.43 │ 16.00 │ 9.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 4 │ 13.00 │ 1984.00 │ 0.00 │ 5.00 │ 0.00 │ 3071.00 │ 0.00 │ 14.00 │ 0.00 │ 1.57 │ 25.00 │ 5.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 5 │ 13.00 │ 1985.00 │ 0.00 │ 6.00 │ 0.00 │ 2864.00 │ 0.00 │ 14.00 │ 0.00 │ 1.70 │ 36.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 6 │ 13.00 │ 1986.00 │ 0.00 │ 7.00 │ 0.00 │ 2994.00 │ 0.00 │ 14.00 │ 0.00 │ -0.72 │ 49.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 7 │ 13.00 │ 1987.00 │ 0.00 │ 8.00 │ 0.00 │ 2640.00 │ 0.00 │ 14.00 │ 0.00 │ 1.67 │ 64.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 8 │ 17.00 │ 1980.00 │ 0.00 │ 4.00 │ 0.00 │ 2484.00 │ 0.00 │ 13.00 │ 0.00 │ 1.68 │ 16.00 │ 2.00 │ ├───┼───────┼─────────┼───────┼───────┼──────┼─────────┼─────────┼───────┼───────┼───────┼─────────┼────────────┤ │ 9 │ 17.00 │ 1981.00 │ 0.00 │ 5.00 │ 0.00 │ 2804.00 │ 0.00 │ 13.00 │ 0.00 │ 1.52 │ 25.00 │ 2.00 │ └───┴───────┴─────────┴───────┴───────┴──────┴─────────┴─────────┴───────┴───────┴───────┴─────────┴────────────┘ "},{"id":382,"href":"/OpenBBTerminal/terminal/econometrics/type/","title":"Type","parent":"Econometrics","content":"usage: type -n {} -f {int,float,str,bool,category,date} [-h] Show the type of the columns of the dataset and/or change the type of the column\noptional arguments: -n {}, --name {} Provide dataset.column series to change type. (default: None) -f {int,float,str,bool,category,date}, --format {int,float,str,bool,category,date} Set the format for the dataset.column defined. This can be: date, int, float, str, bool or category (default: None) -h, --help show this help message (default: False) Example:\n2022 Feb 28, 15:53 (✨) /econometrics/ $ load wage_panel -a wp 2022 Feb 28, 15:53 (✨) /econometrics/ $ type wp ┏━━━━━━━━━━━━┳━━━━━━━━━┓ ┃ column ┃ dtype ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━┩ │ nr │ int64 │ ├────────────┼─────────┤ │ year │ int64 │ ├────────────┼─────────┤ │ black │ int64 │ ├────────────┼─────────┤ │ exper │ int64 │ ├────────────┼─────────┤ │ hisp │ int64 │ ├────────────┼─────────┤ │ hours │ int64 │ ├────────────┼─────────┤ │ married │ int64 │ ├────────────┼─────────┤ │ educ │ int64 │ ├────────────┼─────────┤ │ union │ int64 │ ├────────────┼─────────┤ │ lwage │ float64 │ ├────────────┼─────────┤ │ expersq │ int64 │ ├────────────┼─────────┤ │ occupation │ int64 │ └────────────┴─────────┘ 2022 Feb 28, 15:54 (✨) /econometrics/ $ type wp.year -f category Update 'wp.year' dataset with type 'category' 2022 Feb 28, 15:55 (✨) /econometrics/ $ type wp ┏━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ column ┃ dtype ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━┩ │ nr │ int64 │ ├────────────┼──────────┤ │ year │ category │ ├────────────┼──────────┤ │ black │ int64 │ ├────────────┼──────────┤ │ exper │ int64 │ ├────────────┼──────────┤ │ hisp │ int64 │ ├────────────┼──────────┤ │ hours │ int64 │ ├────────────┼──────────┤ │ married │ int64 │ ├────────────┼──────────┤ │ educ │ int64 │ ├────────────┼──────────┤ │ union │ int64 │ ├────────────┼──────────┤ │ lwage │ float64 │ ├────────────┼──────────┤ │ expersq │ int64 │ ├────────────┼──────────┤ │ occupation │ int64 │ └────────────┴──────────┘ "},{"id":383,"href":"/OpenBBTerminal/terminal/economy/","title":"Economy","parent":"OpenBB Terminal","content":"Economics is concerned with the actions and interactions of economic agents as well as the functioning of economies. Microeconomics is a branch of economics that studies the fundamental parts of the economy, such as individual agents and markets, as well as their interactions and effects. Households, businesses, buyers, and sellers are all examples of individual agents. Macroeconomics studies the economy as a system in which production, consumption, saving, and investment interact, as well as the factors that influence it, such as the use of labor, capital, and land, currency inflation, economic growth, and public policies that affect these aspects.\nAvailable commands Bigmac Fred Futures Index Macro Map Options Overview Performance Plot Rtps Spectrum Treasury Valuation Ycrv Yield "},{"id":384,"href":"/OpenBBTerminal/terminal/economy/bigmac/","title":"Bigmac","parent":"Economy","content":"usage: bigmac [--codes] [-c COUNTRIES] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] The notion that in the long run exchange rates should move towards the rate that would equalise the prices of an identical basket of goods and services (in this case, a burger) in any two countries. Burgernomics was never intended as a precise gauge of currency misalignment, merely a tool to make exchange-rate theory more digestible. Yet the Big Mac index has become a global standard, included in several economic textbooks and the subject of dozens of academic studies.\nBig Mac prices are from McDonald’s directly and from reporting around the world; exchange rates are from Thomson Reuters; GDP and population data used to calculate the euro area averages are from Eurostat and GDP per person data are from the IMF World Economic Outlook reports.\nThe Big Mac PPP exchange rate between two countries is obtained by dividing the price of a Big Mac in one country (in its currency) by the price of a Big Mac in another country (in its currency).\nSource of the data can be found here and a list of country codes for this feature can be found here.\noptional arguments: --codes Flag to show all country codes (default: False) -c COUNTRIES, --countries COUNTRIES Country codes to get data for. (default: USA) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) Sample usage, which gets the index for 5 different countries:\nbigmac -c USA,EUR,MEX,CAN,RUS "},{"id":385,"href":"/OpenBBTerminal/terminal/economy/fred/","title":"Fred","parent":"Economy","content":"usage: fred [-p PARAMETER [PARAMETER ...]] [-s START_DATE] [-e END_DATE] [-q QUERY [QUERY ...]] [-st] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] [-l LIMIT] Query the FRED database and plot data based on the Series ID. [Source: FRED]\noptional arguments: -p PARAMETER [PARAMETER ...], --parameter PARAMETER [PARAMETER ...] Series ID of the Macro Economic data from FRED (default: None) -s START_DATE, --start_date START_DATE Starting date (YYYY-MM-DD) of data (default: None) -e END_DATE, --end_date END_DATE Ending date (YYYY-MM-DD) of data (default: None) -q QUERY [QUERY ...], --query QUERY [QUERY ...] Query the FRED database to obtain Series IDs given the query seaarch term. (default: None) -st, --store Store the data to be used for plotting with the 'plot' command. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 5) Example:\n2022 Mar 15, 07:08 (✨) /economy/ $ fred -q treasuries Search results for treasuries ┏━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ Series ID ┃ Title ┃ Description ┃ ┡━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ T10Y2Y │ 10-Year Treasury Constant Maturity Minus 2-Year │ Starting with the update on June 21, 2019, the Treasury bond data used in calculating interest rate │ │ │ Treasury Constant Maturity │ spreads is obtained directly from the U.S. Treasury Department (https://www.treasury.gov/resource- │ │ │ │ center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield). Series is calculated as │ │ │ │ the spread between 10-Year Treasury Constant Maturity (BC_10YEAR) and 2-Year Treasury Constant │ │ │ │ Maturity (BC_2YEAR). Both underlying series are published at the U.S. Treasury Department │ │ │ │ (https://www.treasury.gov/resource-center/data-chart-center/interest- │ │ │ │ rates/Pages/TextView.aspx?data=yield). │ ├───────────┼─────────────────────────────────────────────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ T10Y2YM │ 10-Year Treasury Constant Maturity Minus 2-Year │ Series is calculated as the spread between 10-Year Treasury Constant Maturity (BC_10YEARM) and │ │ │ Treasury Constant Maturity │ 2-Year Treasury Constant Maturity (BC_2YEARM). Starting with the update on June 21, 2019, the │ │ │ │ Treasury bond data used in calculating interest rate spreads is obtained directly from the U.S. │ │ │ │ Treasury Department (https://www.treasury.gov/resource-center/data-chart-center/interest- │ │ │ │ rates/Pages/TextView.aspx?data=yield). │ ├───────────┼─────────────────────────────────────────────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ DFII10 │ Market Yield on U.S. Treasury Securities at │ For further information regarding treasury constant maturity data, please refer to the Board of │ │ │ 10-Year Constant Maturity, Inflation-Indexed │ Governors ( http://www.federalreserve.gov/releases/h15/current/h15.pdf) and the Treasury │ │ │ │ (http://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/yieldmethod.aspx). │ ├───────────┼─────────────────────────────────────────────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ FII10 │ Market Yield on U.S. Treasury Securities at │ For further information regarding treasury constant maturity data, please refer to │ │ │ 10-Year Constant Maturity, Inflation-Indexed │ http://www.federalreserve.gov/releases/h15/current/h15.pdf and http://www.treasury.gov/resource- │ │ │ │ center/data-chart-center/interest-rates/Pages/yieldmethod.aspx. │ ├───────────┼─────────────────────────────────────────────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ WFII10 │ Market Yield on U.S. Treasury Securities at │ For further information regarding treasury constant maturity data, please refer to │ │ │ 10-Year Constant Maturity, Inflation-Indexed │ http://www.federalreserve.gov/releases/h15/current/h15.pdf and http://www.treasury.gov/resource- │ │ │ │ center/data-chart-center/interest-rates/Pages/yieldmethod.aspx. │ └───────────┴─────────────────────────────────────────────────┴─────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2022 Mar 15, 07:09 (✨) /economy/ $ fred T10Y2Y DFII10 -s 2019-01-01 -e 2022-01-01 "},{"id":386,"href":"/OpenBBTerminal/terminal/economy/futures/","title":"Futures","parent":"Economy","content":"usage: futures [-c {energy,metals,meats,grains,softs}] [-s {ticker,last,change,prevClose}] [-a] [-h] [--export {csv,json,xlsx}] Futures/Commodities frrom Wall St. Journal and FinViz.\noptional arguments: -c {energy,metals,meats,grains,softs}, --commodity {energy,metals,meats,grains,softs} Obtain commodity futures from FinViz (default: ) -s {ticker,last,change,prevClose}, --sortby {ticker,last,change,prevClose} -a, -ascend Flag to sort in ascending order (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Mar 15, 07:02 (✨) /economy/ $ futures Futures/Commodities [Source: Wall St. Journal] ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┓ ┃ ┃ Price ┃ Chg ┃ %Chg ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━┩ │ Crude Oil Futures │ 97.11 │ -5.90 │ -5.73 │ ├───────────────────────────┼─────────┼─────────┼───────┤ │ Brent Crude Futures │ 101.01 │ -5.89 │ -5.51 │ ├───────────────────────────┼─────────┼─────────┼───────┤ │ Gold Futures │ 1930.50 │ -30.30 │ -1.55 │ ├───────────────────────────┼─────────┼─────────┼───────┤ │ Silver Futures │ 24.875 │ -0.423 │ -1.67 │ ├───────────────────────────┼─────────┼─────────┼───────┤ │ Natural Gas Futures │ 4.601 │ -0.101 │ -2.15 │ ├───────────────────────────┼─────────┼─────────┼───────┤ │ Unleaded Gasoline Futures │ 3.0197 │ -0.1492 │ -4.71 │ ├───────────────────────────┼─────────┼─────────┼───────┤ │ Copper Futures │ 4.5005 │ -0.0225 │ -0.50 │ ├───────────────────────────┼─────────┼─────────┼───────┤ │ Corn Futures │ 739.00 │ -9.25 │ -1.24 │ ├───────────────────────────┼─────────┼─────────┼───────┤ │ Wheat Futures │ 1126.50 │ 30.25 │ 2.76 │ ├───────────────────────────┼─────────┼─────────┼───────┤ │ Bloomberg Commodity Index │ 121.16 │ -2.64 │ -2.13 │ └───────────────────────────┴─────────┴─────────┴───────┘ 2022 Mar 15, 07:03 (✨) /economy/ $ futures energy Future Table [Source: FinViz] ┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ prevClose ┃ last ┃ change (%) ┃ ┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━┩ │ Ethanol │ 2.16 │ 2.22 │ 2.78 │ ├─────────────────┼───────────┼────────┼────────────┤ │ Gasoline RBOB │ 3.17 │ 3.02 │ -4.82 │ ├─────────────────┼───────────┼────────┼────────────┤ │ Crude Oil Brent │ 106.90 │ 101.01 │ -5.51 │ ├─────────────────┼───────────┼────────┼────────────┤ │ Natural Gas │ 4.66 │ 4.56 │ -2.10 │ ├─────────────────┼───────────┼────────┼────────────┤ │ Heating Oil │ 3.28 │ 3.07 │ -6.44 │ ├─────────────────┼───────────┼────────┼────────────┤ │ Crude Oil WTI │ 103.01 │ 97.14 │ -5.70 │ └─────────────────┴───────────┴────────┴────────────┘ 2022 Mar 15, 07:04 (✨) /economy/ $ futures metals Future Table [Source: FinViz] ┏━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ prevClose ┃ last ┃ change (%) ┃ ┡━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━┩ │ Silver │ 25.30 │ 24.88 │ -1.65 │ ├───────────┼───────────┼─────────┼────────────┤ │ Platinum │ 1052.30 │ 1021.50 │ -2.93 │ ├───────────┼───────────┼─────────┼────────────┤ │ Palladium │ 2417.60 │ 2450.50 │ 1.36 │ ├───────────┼───────────┼─────────┼────────────┤ │ Copper │ 4.52 │ 4.49 │ -0.64 │ ├───────────┼───────────┼─────────┼────────────┤ │ Gold │ 1960.80 │ 1930.30 │ -1.56 │ └───────────┴───────────┴─────────┴────────────┘ 2022 Mar 15, 07:04 (✨) /economy/ $ futures meats Future Table [Source: FinViz] ┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ prevClose ┃ last ┃ change (%) ┃ ┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━┩ │ Lean Hogs │ 102.72 │ 102.17 │ -0.54 │ ├───────────────┼───────────┼────────┼────────────┤ │ Live Cattle │ 137.30 │ 140.35 │ 2.22 │ ├───────────────┼───────────┼────────┼────────────┤ │ Feeder Cattle │ 157.97 │ 162.43 │ 2.82 │ └───────────────┴───────────┴────────┴────────────┘ 2022 Mar 15, 07:04 (✨) /economy/ $ futures grains Future Table [Source: FinViz] ┏━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ prevClose ┃ last ┃ change (%) ┃ ┡━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━┩ │ Wheat │ 1096.25 │ 1127.50 │ 2.85 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Soybeans │ 1670.50 │ 1646.00 │ -1.47 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Rough Rice │ 16.10 │ 16.14 │ 0.25 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Oats │ 662.00 │ 653.75 │ -1.25 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Soybean Meal │ 484.30 │ 476.40 │ -1.63 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Soybean oil │ 73.95 │ 72.90 │ -1.42 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Corn │ 748.25 │ 739.75 │ -1.14 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Canola │ 1139.10 │ 1113.40 │ -2.26 │ └──────────────┴───────────┴─────────┴────────────┘ 2022 Mar 15, 07:04 (✨) /economy/ $ futures softs Future Table [Source: FinViz] ┏━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ prevClose ┃ last ┃ change (%) ┃ ┡━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━┩ │ Sugar │ 19.13 │ 18.74 │ -2.04 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Lumber │ 1159.20 │ 1104.00 │ -4.76 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Coffee │ 218.80 │ 215.05 │ -1.71 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Orange Juice │ 138.70 │ 142.00 │ 2.38 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Cotton │ 118.77 │ 118.06 │ -0.60 │ ├──────────────┼───────────┼─────────┼────────────┤ │ Cocoa │ 2611.00 │ 2556.00 │ -2.11 │ └──────────────┴───────────┴─────────┴────────────┘ "},{"id":387,"href":"/OpenBBTerminal/terminal/economy/index/","title":"Index","parent":"Economy","content":"usage: index [-i INDICES [INDICES ...]] [-si] [-iv {1m,2m,5m,15m,30m,60m,90m,1h,1d,5d,1wk,1mo,3mo}] [-s START_DATE] [-e END_DATE] [-c COLUMN] [-q QUERY [QUERY ...]] [-r] [-st] [-h] [--export {csv,json,xlsx}] [--raw] [-l LIMIT] Obtain any set of indices and plot them together. With the -si argument the major indices are shown. By using the arguments (for example \u0026lsquo;nasdaq\u0026rsquo; and \u0026lsquo;sp500\u0026rsquo;) you can collect data and plot the graphs together. [Source: Yahoo finance / FinanceDatabase]\noptional arguments: -i INDICES [INDICES ...], --indices INDICES [INDICES ...] One or multiple indices (default: None) -si, --show_indices Show the major indices, their arguments and ticker (default: False) -iv {1m,2m,5m,15m,30m,60m,90m,1h,1d,5d,1wk,1mo,3mo}, --interval {1m,2m,5m,15m,30m,60m,90m,1h,1d,5d,1wk,1mo,3mo} The preferred interval data is shown at. This can be 1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 1d, 5d, 1wk, 1mo or 3mo (default: 1d) -s START_DATE, --start_date START_DATE The start date of the data (format: YEAR-MONTH-DAY, i.e. 2010-12-31) (default: 2000-01-01) -e END_DATE, --end_date END_DATE The end date of the data (format: YEAR-MONTH-DAY, i.e. 2021-06-20) (default: None) -c COLUMN, --column COLUMN The column you wish to load in, by default this is the Adjusted Close column (default: Adj Close) -q QUERY [QUERY ...], --query QUERY [QUERY ...] Search for indices with given keyword (default: None) -st, --store Store the data to be used for plotting with the 'plot' command. (default: False) -r, --returns Flag to show compounded returns over interval. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) Example:\n2022 Mar 15, 07:29 (✨) /economy/ $ index nasdaq dowjones 2022 Mar 15, 07:29 (✨) /economy/ $ index vix 2022 Mar 15, 07:30 (✨) /economy/ $ index -si Major Indices ┏━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ Argument ┃ Name ┃ Ticker ┃ ┡━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━┩ │ sp500 │ S\u0026amp;P 500 │ ^GSPC │ ├──────────┼──────────────────────────────┼───────────┤ │ nasdaq │ Nasdaq Composite │ ^IXIC │ ├──────────┼──────────────────────────────┼───────────┤ │ dowjones │ Dow Jones Industrial Average │ ^DJI │ ├──────────┼──────────────────────────────┼───────────┤ │ vix │ CBOE Volatility Index │ ^VIX │ ├──────────┼──────────────────────────────┼───────────┤ │ russel │ Russel 2000 Index │ ^RUT │ ├──────────┼──────────────────────────────┼───────────┤ │ tsx │ TSX Composite │ ^GSPTSE │ ├──────────┼──────────────────────────────┼───────────┤ │ nikkei │ Nikkei 255 Stock Average │ ^N225 │ ├──────────┼──────────────────────────────┼───────────┤ │ shanghai │ Shanghai Composite Index │ 000001.SS │ ├──────────┼──────────────────────────────┼───────────┤ │ ftse100 │ FTSE 100 Index ('footsie') │ ^FTSE │ ├──────────┼──────────────────────────────┼───────────┤ │ stoxx50 │ Euro STOXX 50 │ ^STOXX50E │ ├──────────┼──────────────────────────────┼───────────┤ │ dax │ DAX Performance Index │ ^GDAXI │ ├──────────┼──────────────────────────────┼───────────┤ │ cac40 │ CAC 40 Index │ ^FCHI │ └──────────┴──────────────────────────────┴───────────┘ "},{"id":388,"href":"/OpenBBTerminal/terminal/economy/macro/","title":"Macro","parent":"Economy","content":"usage: macro [-p PARAMETERS [PARAMETERS ...]] [-c COUNTRIES [COUNTRIES ...]] [-sp] [-sc] [-s START_DATE] [-e END_DATE] [-cc CONVERT_CURRENCY] [-st] [-h] [--export {csv,json,xlsx}] [--raw] Get a broad selection of macro data from one or multiple countries. This includes Gross Domestic Product (RGDP \u0026amp; GDP) and the underlying components, Treasury Yields (Y10YD \u0026amp; M3YD), Employment figures (URATE, EMP, AC0I0 and EMRATIO), Government components (e.g. GBAL \u0026amp; GREV), Consumer and Producer Indices (CPI \u0026amp; PPI) and a variety of other indicators. [Source: EconDB]\noptional arguments: -p PARAMETERS [PARAMETERS ...], --parameters PARAMETERS [PARAMETERS ...] Abbreviation(s) of the Macro Economic data (default: ['CPI']) -c COUNTRIES [COUNTRIES ...], --countries COUNTRIES [COUNTRIES ...] The country or countries you wish to show data for (default: ['United_States']) -sp, --show_parameters Show all parameters and what they represent (default: False) -sc, --show_countries Show all countries and their currencies (default: False) -s START_DATE, --start_date START_DATE The start date of the data (format: YEAR-MONTH-DAY, i.e. 2010-12-31) (default: None) -e END_DATE, --end_date END_DATE The end date of the data (format: YEAR-MONTH-DAY, i.e. 2021-06-20) (default: None) -cc CONVERT_CURRENCY, --convert_currency CONVERT_CURRENCY Convert the currency of the chosen country to a specified currency. To find the currency symbols use the argument -sc (default: False) -st, --store Store the data to be used for plotting with the 'plot' command. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) --raw Flag to display raw data (default: False) Example:\n2022 Mar 15, 07:20 (✨) /economy/ $ macro -p CONF -c Netherlands Germany France -s 2005-01-01 -e 2022-01-01 2022 Mar 15, 07:22 (✨) /economy/ $ macro -p OILPROD -c Canada United_States -s 2004-01-01 2022 Mar 21, 07:33 (✨) /economy/ $ macro -p GDP PRC PUC -c Argentina -cc USD 2022 Mar 21, 07:10 (✨) /economy/ $ macro -sp ┏━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ Parameter ┃ Name ┃ Period ┃ Description ┃ ┡━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ RGDP │ Real gross domestic product │ Quarterly │ Inflation-adjusted measure that reflects the value of all goods and services produced by an economy in a given year (chain-linked series). │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ RPRC │ Real private consumption │ Quarterly │ All purchases made by consumers adjusted by inflation (chain-linked series). │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ RPUC │ Real public consumption │ Quarterly │ All purchases made by the government adjusted by inflation (chain-linked series). │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ RGFCF │ Real gross fixed capital formation │ Quarterly │ The acquisition of produced assets adjusted by inflation (chain-linked series). │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ REXP │ Real exports of goods and services │ Quarterly │ Transactions in goods and services from residents to non-residents adjusted for inflation (chain-linked series) │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ RIMP │ Real imports of goods and services │ Quarterly │ Transactions in goods and services to residents from non-residents adjusted for inflation (chain-linked series) │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ GDP │ Gross domestic product │ Quarterly │ Measure that reflects the value of all goods and services produced by an economy in a given year (chain-linked series). │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ PRC │ Private consumption │ Quarterly │ All purchases made by consumers (chain-linked series). │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ PUC │ Public consumption │ Quarterly │ All purchases made by the government (chain-linked series) │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ GFCF │ Gross fixed capital formation │ Quarterly │ The acquisition of produced assets (chain-linked series). │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ EXP │ Exports of goods and services │ Quarterly │ Transactions in goods and services from residents to non-residents (chain-linked series) │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ IMP │ Imports of goods and services │ Quarterly │ Transactions in goods and services to residents from non-residents (chain-linked series) │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ CPI │ Consumer price index │ Monthly │ Purchasing power defined with base 2015 for Europe with varying bases for others. See: https://www.econdb.com/main-indicators │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ PPI │ Producer price index │ Monthly │ Change in selling prices with base 2015 for Europe with varying bases for others. See: https://www.econdb.com/main-indicators │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ CORE │ Core consumer price index │ Monthly │ Purchasing power excluding food and energy defined with base 2015 for Europe with varying bases for others. See: https://www.econdb.com/main-indicators │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ URATE │ Unemployment │ Monthly │ Monthly average % of the working-age population that is unemployed. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ EMP │ Employment │ Quarterly │ The employed population within a country (in thousands). │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ ACOIO │ Active population │ Quarterly │ The active population, unemployed and employed, in thousands. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ EMRATIO │ Employment to working age population │ Quarterly │ Unlike the unemployment rate, the employment-to-population ratio includes unemployed people not looking for jobs. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ RETA │ Retail trade │ Monthly │ Turnover of sales in wholesale and retail trade │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ CONF │ Consumer confidence index │ Monthly │ Measures how optimistic or pessimistic consumers are regarding their expected financial situation. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ IP │ Industrial production │ Monthly │ Measures monthly changes in the price-adjusted output of industry. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ CP │ Construction production │ Monthly │ Measures monthly changes in the price-adjusted output of construction. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ GBAL │ Government balance │ Quarterly │ The government balance (or EMU balance) is the overall difference between government revenues and spending. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ GREV │ General government total revenue │ Quarterly │ The total amount of revenues collected by governments is determined by past and current political decisions. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ GSPE │ General government total expenditure │ Quarterly │ Total expenditure consists of total expense and the net acquisition of non-financial assets. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ GDEBT │ Government debt │ Quarterly │ The financial liabilities of the government. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ CA │ Current account balance │ Monthly │ A record of a country's international transactions with the rest of the world │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ TBFR │ Trade balance │ Monthly │ The difference between the monetary value of a nation's exports and imports over a certain time period. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ NIIP │ Net international investment position │ Quarterly │ Measures the gap between a nation's stock of foreign assets and a foreigner's stock of that nation's assets │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ IIPA │ Net international investment position (Assets) │ Quarterly │ A nation's stock of foreign assets. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ IIPL │ Net international investment position (Liabilities) │ Quarterly │ A foreigner's stock of the nation's assets. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ Y10YD │ Long term yield (10-year) │ Monthly │ The 10-year yield is used as a proxy for mortgage rates. It's also seen as a sign of investor sentiment about the country's economy. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ M3YD │ 3 month yield │ Monthly │ The yield received for investing in a government issued treasury security that has a maturity of 3 months │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ HOU │ House price index │ Monthly │ House price index defined with base 2015 for Europe with varying bases for others. See: https://www.econdb.com/main-indicators │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ OILPROD │ Oil production │ Monthly │ The amount of oil barrels produced per day in a month within a country. │ ├───────────┼─────────────────────────────────────────────────────┼───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ POP │ Population │ Monthly │ The population of a country. This can be in thousands or, when relatively small, in actual units. │ └───────────┴─────────────────────────────────────────────────────┴───────────┴─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘ 2022 Mar 15, 07:12 (✨) /economy/ $ macro -sc ┏━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ Country ┃ Currency ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩ │ Albania │ ALL │ ├────────────────────────┼──────────┤ │ Argentina │ ARS │ ├────────────────────────┼──────────┤ │ Australia │ AUD │ ├────────────────────────┼──────────┤ │ Austria │ EUR │ ├────────────────────────┼──────────┤ │ Azerbaijan │ AZN │ ├────────────────────────┼──────────┤ │ Bangladesh │ BDT │ ├────────────────────────┼──────────┤ │ Belarus │ BYR │ ├────────────────────────┼──────────┤ │ Belgium │ EUR │ ├────────────────────────┼──────────┤ │ Bhutan │ BTN │ ├────────────────────────┼──────────┤ │ Bosnia_and_Herzegovina │ BAM │ ├────────────────────────┼──────────┤ │ Botswana │ BWP │ ├────────────────────────┼──────────┤ │ Brazil │ BRL │ ├────────────────────────┼──────────┤ │ Bulgaria │ BGN │ ├────────────────────────┼──────────┤ │ Cambodia │ KHR │ ├────────────────────────┼──────────┤ │ Cameroon │ XAF │ ├────────────────────────┼──────────┤ │ Canada │ CAD │ ├────────────────────────┼──────────┤ │ Chile │ CLP │ ├────────────────────────┼──────────┤ │ China │ CNY │ ├────────────────────────┼──────────┤ │ Colombia │ COP │ ├────────────────────────┼──────────┤ │ Croatia │ HRK │ ├────────────────────────┼──────────┤ │ Cyprus │ EUR │ ├────────────────────────┼──────────┤ │ Czech_Republic │ CZK │ ├────────────────────────┼──────────┤ │ Denmark │ DKK │ ├────────────────────────┼──────────┤ │ Dominican_Republic │ DOP │ ├────────────────────────┼──────────┤ │ Egypt │ EGP │ ├────────────────────────┼──────────┤ │ Estonia │ EUR │ ├────────────────────────┼──────────┤ │ Finland │ EUR │ ├────────────────────────┼──────────┤ │ France │ EUR │ ├────────────────────────┼──────────┤ │ Germany │ EUR │ ├────────────────────────┼──────────┤ │ Greece │ EUR │ ├────────────────────────┼──────────┤ │ Honduras │ HNL │ ├────────────────────────┼──────────┤ │ Hong Kong │ HKD │ ├────────────────────────┼──────────┤ │ Hungary │ HUF │ ├────────────────────────┼──────────┤ │ India │ INR │ ├────────────────────────┼──────────┤ │ Indonesia │ IDR │ ├────────────────────────┼──────────┤ │ Iran │ IRR │ ├────────────────────────┼──────────┤ │ Ireland │ EUR │ ├────────────────────────┼──────────┤ │ Israel │ ILS │ ├────────────────────────┼──────────┤ │ Italy │ EUR │ ├────────────────────────┼──────────┤ │ Japan │ JPY │ ├────────────────────────┼──────────┤ │ Kazakhstan │ KZT │ ├────────────────────────┼──────────┤ │ Laos │ LAK │ ├────────────────────────┼──────────┤ │ Latvia │ EUR │ ├────────────────────────┼──────────┤ │ Lebanon │ LBP │ ├────────────────────────┼──────────┤ │ Lithuania │ EUR │ ├────────────────────────┼──────────┤ │ Luxembourg │ EUR │ ├────────────────────────┼──────────┤ │ Macedonia │ MKD │ ├────────────────────────┼──────────┤ │ Malaysia │ MYR │ ├────────────────────────┼──────────┤ │ Malta │ EUR │ ├────────────────────────┼──────────┤ │ Mexico │ MXN │ ├────────────────────────┼──────────┤ │ Mongolia │ MNT │ ├────────────────────────┼──────────┤ │ Netherlands │ EUR │ ├────────────────────────┼──────────┤ │ New_Zealand │ NZD │ ├────────────────────────┼──────────┤ │ Nigeria │ NGN │ ├────────────────────────┼──────────┤ │ Norway │ NOK │ ├────────────────────────┼──────────┤ │ Oman │ OMR │ ├────────────────────────┼──────────┤ │ Pakistan │ PKR │ ├────────────────────────┼──────────┤ │ Panama │ PAB │ ├────────────────────────┼──────────┤ │ Peru │ PEN │ ├────────────────────────┼──────────┤ │ Philippines │ PHP │ ├────────────────────────┼──────────┤ │ Poland │ PLN │ ├────────────────────────┼──────────┤ │ Portugal │ EUR │ ├────────────────────────┼──────────┤ │ Qatar │ QAR │ ├────────────────────────┼──────────┤ │ Romania │ RON │ ├────────────────────────┼──────────┤ │ Russia │ RUB │ ├────────────────────────┼──────────┤ │ Saudi_Arabia │ SAR │ ├────────────────────────┼──────────┤ │ Serbia │ RSD │ ├────────────────────────┼──────────┤ │ Singapore │ SGD │ ├────────────────────────┼──────────┤ │ Slovakia │ EUR │ ├────────────────────────┼──────────┤ │ Slovenia │ EUR │ ├────────────────────────┼──────────┤ │ South_Africa │ ZAR │ ├────────────────────────┼──────────┤ │ South_Korea │ KRW │ ├────────────────────────┼──────────┤ │ Spain │ EUR │ ├────────────────────────┼──────────┤ │ Sweden │ SEK │ ├────────────────────────┼──────────┤ │ Switzerland │ CHF │ ├────────────────────────┼──────────┤ │ Taiwan │ TWD │ ├────────────────────────┼──────────┤ │ Thailand │ THB │ ├────────────────────────┼──────────┤ │ Tunisia │ TND │ ├────────────────────────┼──────────┤ │ Turkey │ TRY │ ├────────────────────────┼──────────┤ │ Ukraine │ UAH │ ├────────────────────────┼──────────┤ │ United_Arab_Emirates │ AED │ ├────────────────────────┼──────────┤ │ United_States │ USD │ ├────────────────────────┼──────────┤ │ Uzbekistan │ UZS │ ├────────────────────────┼──────────┤ │ Venezuela │ VEF │ ├────────────────────────┼──────────┤ │ Vietnam │ VND │ └────────────────────────┴──────────┘ "},{"id":389,"href":"/OpenBBTerminal/terminal/economy/map/","title":"Map","parent":"Economy","content":"usage: map [-p {1d,1w,1m,3m,6m,1y}] [-t {sp500,world,full,etf}] [-h] Performance index stocks map categorized by sectors and industries. Size represents market cap. Opens web-browser. [Source: Finviz]\noptional arguments: -p {1d,1w,1m,3m,6m,1y}, --period {1d,1w,1m,3m,6m,1y} Performance period. (default: 1d) -t {sp500,world,full,etf}, --type {sp500,world,full,etf} Map filter type. (default: sp500) -h, --help show this help message (default: False) "},{"id":390,"href":"/OpenBBTerminal/terminal/economy/options/","title":"Options","parent":"Economy","content":"usage: options [-h] [--export {csv,json,xlsx}] [--raw] [-l LIMIT] Show the available options for the \u0026lsquo;plot\u0026rsquo; command. To save data, use the command -st on \u0026lsquo;macro\u0026rsquo;, \u0026lsquo;fred\u0026rsquo;, \u0026lsquo;index\u0026rsquo; and \u0026lsquo;treasury\u0026rsquo;. You can use these commands to plot data on a multi-axes graoh. Furthermore, this command also allows you to see and export all stored data.\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) Example:\n2022 Mar 16, 13:20 (✨) /economy/ $ treasury -m 3y 5y -st 2022 Mar 16, 13:20 (✨) /economy/ $ index vix sp500 dowjones -st 2022 Mar 16, 13:20 (✨) /economy/ $ macro -p RGDP GDP -c Netherlands Germany -st 2022 Mar 16, 13:21 (✨) /economy/ $ fred T10Y2y T10Y2YM -st 2022 Mar 16, 13:20 (✨) /economy/ $ options Options available to plot ┏━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ Command ┃ Options ┃ ┡━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ treasury │ Nominal_3-year, Nominal_5-year │ ├──────────┼──────────────────────────────────────────────────────────────┤ │ index │ vix, sp500, dowjones │ ├──────────┼──────────────────────────────────────────────────────────────┤ │ macro │ Netherlands_RGDP, Netherlands_GDP, Germany_RGDP, Germany_GDP │ ├──────────┼──────────────────────────────────────────────────────────────┤ │ fred │ T10Y2y, T10Y2YM │ └──────────┴──────────────────────────────────────────────────────────────┘ "},{"id":391,"href":"/OpenBBTerminal/terminal/economy/overview/","title":"Overview","parent":"Economy","content":"usage: overview [-t {indices,usbonds,glbonds,currencies}] [-h] [--export {csv,json,xlsx}] Provide a market overview of a variety of options. This can be a general overview, indices, bonds and currencies. [Source: Wall St. Journal]\noptional arguments: -t {indices,usbonds,glbonds,currencies}, --type {indices,usbonds,glbonds,currencies} Obtain either US indices, US Bonds, Global Bonds or Currencies (default: ) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Mar 15, 06:59 (✨) /economy/ $ overview Market Overview ┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┓ ┃ ┃ Price ┃ Chg ┃ %Chg ┃ ┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━┩ │ DJIA │ 32945.24 │ 1.05 │ 0.00 │ ├───────────────────┼──────────┼─────────┼───────┤ │ S\u0026amp;P 500 │ 4173.11 │ -31.20 │ -0.74 │ ├───────────────────┼──────────┼─────────┼───────┤ │ Nasdaq Composite │ 12581.22 │ -262.59 │ -2.04 │ ├───────────────────┼──────────┼─────────┼───────┤ │ Japan: Nikkei 225 │ 25346.48 │ 38.63 │ 0.15 │ ├───────────────────┼──────────┼─────────┼───────┤ │ UK: FTSE 100 │ 7117.67 │ -75.80 │ -1.05 │ ├───────────────────┼──────────┼─────────┼───────┤ │ Crude Oil Futures │ 97.12 │ -5.89 │ -5.72 │ ├───────────────────┼──────────┼─────────┼───────┤ │ Gold Futures │ 1932.30 │ -28.50 │ -1.45 │ ├───────────────────┼──────────┼─────────┼───────┤ │ Yen │ 118.01 │ -0.18 │ -0.15 │ ├───────────────────┼──────────┼─────────┼───────┤ │ Euro │ 1.0996 │ 0.0055 │ 0.50 │ └───────────────────┴──────────┴─────────┴───────┘ 2022 Mar 15, 07:00 (✨) /economy/ $ overview indices US Indices ┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┓ ┃ ┃ Price ┃ Chg ┃ %Chg ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━┩ │ DJIA │ 32945.24 │ 1.05 │ 0.00 │ ├───────────────────────┼──────────┼─────────┼───────┤ │ Nasdaq Composite │ 12581.22 │ -262.59 │ -2.04 │ ├───────────────────────┼──────────┼─────────┼───────┤ │ S\u0026amp;P 500 │ 4173.11 │ -31.20 │ -0.74 │ ├───────────────────────┼──────────┼─────────┼───────┤ │ DJ Total Stock Market │ 42169.18 │ -412.17 │ -0.97 │ ├───────────────────────┼──────────┼─────────┼───────┤ │ Russell 2000 │ 1941.72 │ -37.95 │ -1.92 │ ├───────────────────────┼──────────┼─────────┼───────┤ │ NYSE Composite │ 15694.35 │ -59.35 │ -0.38 │ ├───────────────────────┼──────────┼─────────┼───────┤ │ Barron's 400 │ 968.62 │ -6.27 │ -0.64 │ ├───────────────────────┼──────────┼─────────┼───────┤ │ CBOE Volatility │ 32.57 │ 0.80 │ 2.52 │ ├───────────────────────┼──────────┼─────────┼───────┤ │ DJIA Futures │ 32786 │ -52 │ -0.16 │ ├───────────────────────┼──────────┼─────────┼───────┤ │ S\u0026amp;P 500 Futures │ 4160.25 │ -3.25 │ -0.08 │ └───────────────────────┴──────────┴─────────┴───────┘ 2022 Mar 15, 07:00 (✨) /economy/ $ overview usbonds ov US Bonds ┏━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ ┃ Rate (%) ┃ Yld (%) ┃ Yld Chg (%) ┃ ┡━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━┩ │ 30-Year Bond │ 2.25 │ 2.462 │ -0.016 │ ├──────────────┼──────────┼─────────┼─────────────┤ │ 10-Year Note │ 1.88 │ 2.119 │ -0.025 │ ├──────────────┼──────────┼─────────┼─────────────┤ │ 7-Year Note │ 1.88 │ 2.131 │ -0.023 │ ├──────────────┼──────────┼─────────┼─────────────┤ │ 5-Year Note │ 1.88 │ 2.070 │ -0.023 │ ├──────────────┼──────────┼─────────┼─────────────┤ │ 3-Year Note │ 1.75 │ 2.020 │ -0.035 │ ├──────────────┼──────────┼─────────┼─────────────┤ │ 2-Year Note │ 1.50 │ 1.835 │ -0.032 │ ├──────────────┼──────────┼─────────┼─────────────┤ │ 1-Year Bill │ 0.00 │ 1.202 │ -0.003 │ ├──────────────┼──────────┼─────────┼─────────────┤ │ 6-Month Bill │ 0.00 │ 0.830 │ 0.087 │ ├──────────────┼──────────┼─────────┼─────────────┤ │ 3-Month Bill │ 0.00 │ 0.442 │ -0.019 │ ├──────────────┼──────────┼─────────┼─────────────┤ │ 1-Month Bill │ 0.00 │ 0.200 │ -0.007 │ └──────────────┴──────────┴─────────┴─────────────┘ 2022 Mar 15, 07:00 (✨) /economy/ $ overview glbonds Global Bonds ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ ┃ Rate (%) ┃ Yld (%) ┃ Yld Chg (%) ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━┩ │ U.S. 10 Year Treasury Note │ 1.875 │ 2.118 │ -0.026 │ ├───────────────────────────────────┼──────────┼─────────┼─────────────┤ │ Germany 10 Year Government Bond │ 0.000 │ 0.359 │ -0.009 │ ├───────────────────────────────────┼──────────┼─────────┼─────────────┤ │ U.K. 10 Year Gilt │ 4.250 │ 1.591 │ -0.006 │ ├───────────────────────────────────┼──────────┼─────────┼─────────────┤ │ Japan 10 Year Government Bond │ 0.100 │ 0.210 │ 0.015 │ ├───────────────────────────────────┼──────────┼─────────┼─────────────┤ │ Australia 10 Year Government Bond │ 1.000 │ 2.505 │ 0.061 │ ├───────────────────────────────────┼──────────┼─────────┼─────────────┤ │ China 10 Year Government Bond │ 2.890 │ 2.846 │ 0.055 │ └───────────────────────────────────┴──────────┴─────────┴─────────────┘ 2022 Mar 15, 07:00 (✨) /economy/ $ overview currencies Currencies ┏━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┓ ┃ ┃ Last ┃ Chng ┃ %Chng ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━┩ │ Euro (EUR/USD) │ 1.0996 │ 0.0055 │ 0.50 │ ├────────────────────────┼─────────┼─────────┼───────┤ │ Japanese Yen (USD/JPY) │ 118.03 │ -0.16 │ -0.14 │ ├────────────────────────┼─────────┼─────────┼───────┤ │ U.K. Pound (GBP/USD) │ 1.3036 │ 0.0035 │ 0.27 │ ├────────────────────────┼─────────┼─────────┼───────┤ │ Swiss Franc (USD/CHF) │ 0.9388 │ 0.0002 │ 0.02 │ ├────────────────────────┼─────────┼─────────┼───────┤ │ Chinese Yuan (USD/CNY) │ 6.3740 │ 0.0086 │ 0.14 │ ├────────────────────────┼─────────┼─────────┼───────┤ │ Canadian $ (USD/CAD) │ 1.2846 │ 0.0020 │ 0.16 │ ├────────────────────────┼─────────┼─────────┼───────┤ │ Mexican Peso (USD/MXN) │ 20.8658 │ -0.0495 │ -0.24 │ ├────────────────────────┼─────────┼─────────┼───────┤ │ Bitcoin (BTC/USD) │ 38691 │ -46 │ -0.12 │ ├────────────────────────┼─────────┼─────────┼───────┤ │ WSJ Dollar Index │ 91.76 │ -0.21 │ -0.23 │ ├────────────────────────┼─────────┼─────────┼───────┤ │ U.S. Dollar Index │ 98.78 │ -0.22 │ -0.22 │ └────────────────────────┴─────────┴─────────┴───────┘ "},{"id":392,"href":"/OpenBBTerminal/terminal/economy/performance/","title":"Performance","parent":"Economy","content":"usage: performance [-g GROUP [GROUP ...]] [-s {Name,Week,Month,3Month,6Month,1Year,YTD,Recom,AvgVolume,RelVolume,Change,Volume}] [-a] [-h] [--export {csv,json,xlsx}] View group (sectors, industry or country) performance data. [Source: Finviz]\noptional arguments: -g GROUP [GROUP ...], --group GROUP [GROUP ...] Data group (sector, industry or country) (default: sector) -s {Name,Week,Month,3Month,6Month,1Year,YTD,Recom,AvgVolume,RelVolume,Change,Volume}, --sortby {Name,Week,Month,3Month,6Month,1Year,YTD,Recom,AvgVolume,RelVolume,Change,Volume} Column to sort by (default: Name) -a, -ascend Flag to sort in ascending order (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 05:25 (✨) /economy/ $ performance Group Performance Data ┌────────────────────────┬───────┬───────┬────────┬────────┬───────┬───────┬───────┬────────────────┬───────────┬────────┬─────────────┐ │ Name │ Week │ Month │ 3Month │ 6Month │ 1Year │ YTD │ Recom │ AvgVolume (1M) │ RelVolume │ Change │ Volume (1M) │ ├────────────────────────┼───────┼───────┼────────┼────────┼───────┼───────┼───────┼────────────────┼───────────┼────────┼─────────────┤ │ Utilities │ -0.02 │ -0.04 │ -0.01 │ -0.03 │ 0.04 │ -0.07 │ 2.33 │ 148.49 │ 1.10 │ -0.01 │ 163.32 │ ├────────────────────────┼───────┼───────┼────────┼────────┼───────┼───────┼───────┼────────────────┼───────────┼────────┼─────────────┤ │ Technology │ -0.02 │ -0.07 │ -0.13 │ -0.05 │ 0.01 │ -0.13 │ 1.98 │ 1590.00 │ 0.91 │ -0.00 │ 1440.00 │ ├────────────────────────┼───────┼───────┼────────┼────────┼───────┼───────┼───────┼────────────────┼───────────┼────────┼─────────────┤ │ Real Estate │ -0.02 │ -0.08 │ -0.08 │ -0.04 │ 0.07 │ -0.12 │ 2.22 │ 331.13 │ 1.13 │ -0.01 │ 373.51 │ ├────────────────────────┼───────┼───────┼────────┼────────┼───────┼───────┼───────┼────────────────┼───────────┼────────┼─────────────┤ │ Industrials │ -0.01 │ -0.07 │ -0.09 │ -0.06 │ 0.06 │ -0.08 │ 2.26 │ 627.31 │ 0.97 │ -0.00 │ 611.51 │ ├────────────────────────┼───────┼───────┼────────┼────────┼───────┼───────┼───────┼────────────────┼───────────┼────────┼─────────────┤ │ Healthcare │ -0.02 │ -0.04 │ -0.10 │ -0.11 │ -0.05 │ -0.10 │ 2.05 │ 1600.00 │ 0.79 │ -0.01 │ 1260.00 │ ├────────────────────────┼───────┼───────┼────────┼────────┼───────┼───────┼───────┼────────────────┼───────────┼────────┼─────────────┤ │ Financial │ -0.01 │ -0.03 │ -0.02 │ 0.01 │ 0.14 │ 0.01 │ 2.20 │ 969.06 │ 1.05 │ -0.01 │ 1020.00 │ ├────────────────────────┼───────┼───────┼────────┼────────┼───────┼───────┼───────┼────────────────┼───────────┼────────┼─────────────┤ │ Energy │ -0.01 │ 0.07 │ 0.16 │ 0.34 │ 0.43 │ 0.20 │ 2.24 │ 675.13 │ 1.09 │ -0.02 │ 738.17 │ ├────────────────────────┼───────┼───────┼────────┼────────┼───────┼───────┼───────┼────────────────┼───────────┼────────┼─────────────┤ │ Consumer Defensive │ -0.01 │ -0.03 │ -0.00 │ -0.01 │ 0.04 │ -0.03 │ 2.23 │ 443.50 │ 0.97 │ -0.00 │ 432.15 │ ├────────────────────────┼───────┼───────┼────────┼────────┼───────┼───────┼───────┼────────────────┼───────────┼────────┼─────────────┤ │ Consumer Cyclical │ -0.00 │ -0.08 │ -0.15 │ -0.07 │ -0.12 │ -0.10 │ 2.05 │ 1250.00 │ 0.83 │ 0.00 │ 1040.00 │ ├────────────────────────┼───────┼───────┼────────┼────────┼───────┼───────┼───────┼────────────────┼───────────┼────────┼─────────────┤ │ Communication Services │ -0.01 │ -0.07 │ -0.16 │ -0.14 │ -0.05 │ -0.10 │ 1.88 │ 731.80 │ 0.94 │ 0.00 │ 690.29 │ ├────────────────────────┼───────┼───────┼────────┼────────┼───────┼───────┼───────┼────────────────┼───────────┼────────┼─────────────┤ │ Basic Materials │ 0.02 │ -0.03 │ -0.01 │ -0.03 │ 0.06 │ -0.02 │ 2.21 │ 461.26 │ 1.11 │ -0.01 │ 514.01 │ └────────────────────────┴───────┴───────┴────────┴────────┴───────┴───────┴───────┴────────────────┴───────────┴────────┴─────────────┘ "},{"id":393,"href":"/OpenBBTerminal/terminal/economy/plot/","title":"Plot","parent":"Economy","content":"usage: plot [-y1 YAXIS1 [YAXIS1 ...]] [-y2 YAXIS2 [YAXIS2 ...]] [-h] [--export {csv,json,xlsx}] [--raw] [-l LIMIT] This command can plot any data on two y-axes obtained from the macro, fred, index and treasury commands. To be able to use this data, use the -st argument available within these commands. For example \u0026lsquo;macro -p GDP -c Germany Netherlands -st\u0026rsquo; will store the data for usage in this command. Therefore, it allows you to plot different time series in one graph. You can use the \u0026lsquo;options\u0026rsquo; command to show the required arguments to be entered. The example above could be plotted the following way: \u0026lsquo;plot -y1 Germany_GDP -y2 Netherlands_GDP\u0026rsquo; or \u0026lsquo;plot -y1 Germany_GDP Netherlands_GDP\u0026rsquo;\noptional arguments: -y1 YAXIS1 [YAXIS1 ...], --yaxis1 YAXIS1 [YAXIS1 ...] Select the data you wish to plot on the first y-axis. You can select multiple variables here. (default: ) -y2 YAXIS2 [YAXIS2 ...], --yaxis2 YAXIS2 [YAXIS2 ...] Select the data you wish to plot on the second y-axis. You can select multiple variables here. (default: ) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) Comparing Unemployment Rates and Consumer Confidence of France and Italy\n2022 Mar 15, 07:43 (✨) /economy/ $ macro -p URATE CONF -c France Italy -s 2005-01-01 -st 2022 Mar 15, 07:45 (✨) /economy/ $ options Options available to plot ┏━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ Command ┃ Options ┃ ┡━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ macro │ France_URATE, France_CONF, Italy_URATE, Italy_CONF │ └─────────┴────────────────────────────────────────────────────┘ 2022 Mar 15, 07:43 (✨) /economy/ $ plot -y1 France_URATE Italy_URATE -y2 France_CONF Italy_CONF Comparing U.S. treasury rate movements to the S\u0026amp;P 500\n2022 Mar 15, 07:39 (✨) /economy/ $ treasury -m 1y 10y -s 2005-01-01 -st 2022 Mar 15, 07:40 (✨) /economy/ $ index sp500 -s 2005-01-01 -st 2022 Mar 15, 07:40 (✨) /economy/ $ plot -y1 sp500 -y2 Nominal_1-year Nominal_10-year "},{"id":394,"href":"/OpenBBTerminal/terminal/economy/rtps/","title":"Rtps","parent":"Economy","content":"usage: rtps [--raw] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Real-time and historical sector performances calculated from S\u0026amp;P500 incumbents. [Source: Alpha Vantage]\noptional arguments: --raw Only output raw data (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":395,"href":"/OpenBBTerminal/terminal/economy/spectrum/","title":"Spectrum","parent":"Economy","content":"usage: spectrum [-g GROUP [GROUP ...]] [-h] [--export {png,jpg,pdf,svg}] View group (sectors, industry or country) spectrum data. [Source: Finviz]\noptional arguments: -g GROUP [GROUP ...], --group GROUP [GROUP ...] Data group (sector, industry or country) (default: sector) -h, --help show this help message (default: False) --export {png,jpg,pdf,svg} Export figure into png, jpg, pdf, svg (default: ) Example:\n"},{"id":396,"href":"/OpenBBTerminal/terminal/economy/treasury/","title":"Treasury","parent":"Economy","content":"usage: treasury [-m MATURITY [MATURITY ...]] [-sm] [-f {annually,monthly,weekly,daily}] [-t {nominal,inflation,average,secondary} [{nominal,inflation,average,secondary} ...]] [-s START_DATE] [-e END_DATE] [-st] [-h] [--export {csv,json,xlsx}] [--raw] [-l LIMIT] Obtain any set of U.S. treasuries and plot them together. These can be a range of maturities for nominal, inflation-adjusted (on long term average of inflation adjusted) and secondary markets over a lengthy period. Note: 3-month and 10-year treasury yields for other countries are available via the command \u0026lsquo;macro\u0026rsquo; and parameter \u0026lsquo;M3YD\u0026rsquo; and \u0026lsquo;Y10YD\u0026rsquo;. [Source: EconDB / FED]\noptional arguments: -m MATURITY [MATURITY ...], --maturity MATURITY [MATURITY ...] The preferred maturity which is dependent on the type of the treasury (default: ['1y']) -sm, --show_maturities Show the maturities available for every instrument. (default: False) -f {annually,monthly,weekly,daily}, --frequency {annually,monthly,weekly,daily} The frequency, this can be annually, monthly, weekly or daily (default: monthly) -t {nominal,inflation,average,secondary} [{nominal,inflation,average,secondary} ...], --type {nominal,inflation,average,secondary} [{nominal,inflation,average,secondary} ...] Whether to select nominal, inflation indexed, average inflation indexed or secondary market treasury rates (default: ['nominal']) -s START_DATE, --start_date START_DATE The start date of the data (format: YEAR-MONTH-DAY, i.e. 2010-12-31) (default: 1934-01-31) -e END_DATE, --end_date END_DATE The end date of the data (format: YEAR-DAY-MONTH, i.e. 2021-06-02) (default: 2022-03-15) -st, --store Store the data to be used for plotting with the 'plot' command. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) Example:\n2022 Mar 15, 07:33 (✨) /economy/ $ treasury -sm Maturity options per instrument ┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ Instrument ┃ Maturities ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ nominal │ 1m, 3m, 6m, 1y, 2y, 3y, 5y, 7y, 10y, 20y, 30y │ ├────────────┼───────────────────────────────────────────────┤ │ inflation │ 5y, 7y, 10y, 20y, 30y │ ├────────────┼───────────────────────────────────────────────┤ │ average │ Defined by function │ ├────────────┼───────────────────────────────────────────────┤ │ secondary │ 4w, 3m, 6m, 1y │ └────────────┴───────────────────────────────────────────────┘ 2022 Mar 15, 07:33 (✨) /economy/ $ treasury -m 1y 3y 5y 10y 30y 2022 Mar 15, 07:35 (✨) /economy/ $ treasury -m 5y -t nominal inflation average -s 2005-01-01 "},{"id":397,"href":"/OpenBBTerminal/terminal/economy/valuation/","title":"Valuation","parent":"Economy","content":"usage: valuation [-g GROUP [GROUP ...]] [-s {Name,MarketCap,P/E,FwdP/E,PEG,P/S,P/B,P/C,P/FCF,EPSpast5Y,EPSnext5Y,Salespast5Y,Change,Volume}] [-a] [-h] [--export {csv,json,xlsx}] View group (sectors, industry or country) valuation data. [Source: Finviz]\noptional arguments: -g GROUP [GROUP ...], --group GROUP [GROUP ...] Data group (sector, industry or country) (default: sector) -s {Name,MarketCap,P/E,FwdP/E,PEG,P/S,P/B,P/C,P/FCF,EPSpast5Y,EPSnext5Y,Salespast5Y,Change,Volume}, --sortby {Name,MarketCap,P/E,FwdP/E,PEG,P/S,P/B,P/C,P/FCF,EPSpast5Y,EPSnext5Y,Salespast5Y,Change,Volume} Column to sort by (default: Name) -a, -ascend Flag to sort in ascending order (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 05:44 (✨) /economy/ $ valuation Group Valuation Data ┌────────────────────────┬───────────┬───────┬────────┬──────┬──────┬──────┬───────┬───────┬───────────┬───────────┬─────────────┬────────┬─────────────┐ │ Name │ MarketCap │ P/E │ FwdP/E │ PEG │ P/S │ P/B │ P/C │ P/FCF │ EPSpast5Y │ EPSnext5Y │ Salespast5Y │ Change │ Volume (1M) │ ├────────────────────────┼───────────┼───────┼────────┼──────┼──────┼──────┼───────┼───────┼───────────┼───────────┼─────────────┼────────┼─────────────┤ │ Utilities │ 1358.78 │ 23.92 │ 3.08 │ 3.42 │ 1.89 │ 1.34 │ 27.21 │ 58.67 │ -0.01 │ 0.07 │ 0.02 │ -0.01 │ 163.32 │ ├────────────────────────┼───────────┼───────┼────────┼──────┼──────┼──────┼───────┼───────┼───────────┼───────────┼─────────────┼────────┼─────────────┤ │ Technology │ 14633.47 │ 30.64 │ 23.23 │ 1.70 │ 5.35 │ 4.49 │ 16.77 │ 37.99 │ 0.23 │ 0.18 │ 0.14 │ -0.00 │ 1440.00 │ ├────────────────────────┼───────────┼───────┼────────┼──────┼──────┼──────┼───────┼───────┼───────────┼───────────┼─────────────┼────────┼─────────────┤ │ Real Estate │ 1750.54 │ 28.61 │ 32.15 │ 2.85 │ 5.67 │ 1.84 │ 21.76 │ 60.06 │ 0.07 │ 0.10 │ 0.09 │ -0.01 │ 373.51 │ ├────────────────────────┼───────────┼───────┼────────┼──────┼──────┼──────┼───────┼───────┼───────────┼───────────┼─────────────┼────────┼─────────────┤ │ Industrials │ 4912.21 │ 23.16 │ 16.15 │ 1.62 │ 2.00 │ 4.09 │ 12.84 │ 32.04 │ 0.06 │ 0.14 │ 0.04 │ -0.00 │ 611.51 │ ├────────────────────────┼───────────┼───────┼────────┼──────┼──────┼──────┼───────┼───────┼───────────┼───────────┼─────────────┼────────┼─────────────┤ │ Healthcare │ 7545.19 │ 23.89 │ 15.09 │ 2.04 │ 2.17 │ 3.58 │ 12.48 │ 32.62 │ 0.12 │ 0.12 │ 0.12 │ -0.01 │ 1260.00 │ ├────────────────────────┼───────────┼───────┼────────┼──────┼──────┼──────┼───────┼───────┼───────────┼───────────┼─────────────┼────────┼─────────────┤ │ Financial │ 10421.24 │ 13.02 │ 13.90 │ 1.01 │ 2.95 │ 0.01 │ 0.59 │ 16.51 │ 0.08 │ 0.13 │ 0.07 │ -0.01 │ 1020.00 │ ├────────────────────────┼───────────┼───────┼────────┼──────┼──────┼──────┼───────┼───────┼───────────┼───────────┼─────────────┼────────┼─────────────┤ │ Energy │ 3287.09 │ 13.48 │ 9.81 │ 1.18 │ 0.89 │ 1.26 │ 9.53 │ 18.20 │ -0.08 │ 0.11 │ 0.00 │ -0.02 │ 738.17 │ ├────────────────────────┼───────────┼───────┼────────┼──────┼──────┼──────┼───────┼───────┼───────────┼───────────┼─────────────┼────────┼─────────────┤ │ Consumer Defensive │ 3764.29 │ 25.71 │ 22.11 │ 2.72 │ 1.41 │ 4.15 │ 19.93 │ 48.20 │ 0.07 │ 0.09 │ 0.04 │ -0.00 │ 432.15 │ ├────────────────────────┼───────────┼───────┼────────┼──────┼──────┼──────┼───────┼───────┼───────────┼───────────┼─────────────┼────────┼─────────────┤ │ Consumer Cyclical │ 7765.73 │ 25.61 │ 15.36 │ 1.14 │ 1.16 │ 3.68 │ 10.47 │ 43.62 │ 0.25 │ 0.22 │ 0.19 │ 0.00 │ 1040.00 │ ├────────────────────────┼───────────┼───────┼────────┼──────┼──────┼──────┼───────┼───────┼───────────┼───────────┼─────────────┼────────┼─────────────┤ │ Communication Services │ 7657.15 │ 21.10 │ 14.48 │ 1.01 │ 3.55 │ 3.49 │ 14.31 │ 32.95 │ 0.18 │ 0.21 │ 0.19 │ 0.00 │ 690.29 │ ├────────────────────────┼───────────┼───────┼────────┼──────┼──────┼──────┼───────┼───────┼───────────┼───────────┼─────────────┼────────┼─────────────┤ │ Basic Materials │ 2168.52 │ 11.80 │ 11.73 │ 0.81 │ 1.63 │ 2.23 │ 12.24 │ 16.83 │ 0.26 │ 0.15 │ 0.08 │ -0.01 │ 514.01 │ └────────────────────────┴───────────┴───────┴────────┴──────┴──────┴──────┴───────┴───────┴───────────┴───────────┴─────────────┴────────┴─────────────┘ "},{"id":398,"href":"/OpenBBTerminal/terminal/economy/ycrv/","title":"Ycrv","parent":"Economy","content":"usage: ycrv [-s {FRED,investpy}] [-c COUNTRY [COUNTRY ...]] [-d DATE] [-h] [--export EXPORT] [--raw] Generate country yield curve. The yield curve shows the bond rates at different maturities.\noptional arguments: -s {FRED,investpy}, --source {FRED,investpy} Source for the data. If not supplied, the most recent entry from investpy will be used. (default: investpy) -c COUNTRY [COUNTRY ...], --country COUNTRY [COUNTRY ...] Display yield curve for specific country. (default: united states) -d DATE, --date DATE Date to get data from FRED. If not supplied, the most recent entry will be used. (default: None) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) --raw Flag to display raw data (default: False) "},{"id":399,"href":"/OpenBBTerminal/terminal/economy/yield/","title":"Yield","parent":"Economy","content":"usage: yield [-d DATE] [-h] Generate the US yield curve for a specific date. The yield curve shows the bond rates at different maturities.\noptional arguments: -d DATE, --date DATE Date to get the curve for. If not supplied, the most recent entry from FRED will be used. (default: None) -h, --help show this help message (default: False) "},{"id":400,"href":"/OpenBBTerminal/terminal/etf/candle/","title":"Candle","parent":"Exchange Traded Funds (ETFs)","content":"usage: candle [-p] [--sort {AdjClose,Open,Close,High,Low,Volume,Returns,LogRet}] [-d] [--raw] [-n NUM] [-t] [--ma MOV_AVG] [-h] [--export {csv,json,xlsx}] Shows historic data for an ETF\noptional arguments: -p, --plotly Flag to show interactive plotly chart. (default: True) --sort {AdjClose,Open,Close,High,Low,Volume,Returns,LogRet} Choose a column to sort by (default: ) -d, --descending Sort selected column descending (default: True) --raw Shows raw data instead of chart (default: False) -n NUM, --num NUM Number to show if raw selected (default: 20) -t, --trend Flag to add high and low trends to candle. (default: False) --ma MOV_AVG Add moving averaged to plot (default: ) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":401,"href":"/OpenBBTerminal/terminal/etf/compare/","title":"Compare","parent":"Exchange Traded Funds (ETFs)","content":"usage: compare [-e NAMES] [-h] [--export {csv,json,xlsx}] Compare selected ETFs [Source: StockAnalysis]\noptional arguments: -e NAMES, --etfs NAMES Symbols to compare (default: None) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 04:24 (✨) /etf/ $ compare VOO,SPY ETF Comparisons ┌────────────────┬────────────┬─────────────┐ │ │ VOO │ SPY │ ├────────────────┼────────────┼─────────────┤ │ Assets │ $283.52B │ $407.71B │ ├────────────────┼────────────┼─────────────┤ │ NAV │ $413.03 │ $449.25 │ ├────────────────┼────────────┼─────────────┤ │ Expense Ratio │ 0.03% │ 0.09% │ ├────────────────┼────────────┼─────────────┤ │ PE Ratio │ 24.90 │ 22.23 │ ├────────────────┼────────────┼─────────────┤ │ Shares Out │ 686.44M │ 907.53M │ ├────────────────┼────────────┼─────────────┤ │ Dividend (ttm) │ $5.44 │ $5.72 │ ├────────────────┼────────────┼─────────────┤ │ Dividend Yield │ 1.35% │ 1.30% │ ├────────────────┼────────────┼─────────────┤ │ Volume │ 10,167,584 │ 123,006,262 │ ├────────────────┼────────────┼─────────────┤ │ Open │ 404.43 │ 439.92 │ ├────────────────┼────────────┼─────────────┤ │ Previous Close │ 404.94 │ 440.46 │ ├────────────────┼────────────┼─────────────┤ │ 52-Week Low │ 341.92 │ 371.88 │ ├────────────────┼────────────┼─────────────┤ │ 52-Week High │ 341.92 │ 371.88 │ ├────────────────┼────────────┼─────────────┤ │ Beta │ 0.99 │ 0.99 │ ├────────────────┼────────────┼─────────────┤ │ Holdings │ 510 │ 507 │ └────────────────┴────────────┴─────────────┘ "},{"id":402,"href":"/OpenBBTerminal/terminal/etf/disc/","title":"Disc","parent":"Exchange Traded Funds (ETFs)","content":"Available commands: Active Decliners Gainers "},{"id":403,"href":"/OpenBBTerminal/terminal/etf/disc/active/","title":"Active","parent":"Disc","content":"usage: active [-l LIMIT] [-h] [--export {csv,json,xlsx}] Displays most active ETF/Mutual funds from wsj.com/market-data\noptional arguments: -l LIMIT, --limit LIMIT Limit of ETFs to display -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Example:\n2022 Feb 15, 04:26 (✨) /etf/disc/ $ active ETF Movers ┌───────────────────────────────────────────────────┬────────┬───────┬───────┬────────┐ │ │ Price │ Chg │ %Chg │ Vol │ ├───────────────────────────────────────────────────┼────────┼───────┼───────┼────────┤ │ ProShares Ultra VIX Short-Term Futures ETF │ 16.93 │ 0.27 │ 1.62 │ 149.8M │ ├───────────────────────────────────────────────────┼────────┼───────┼───────┼────────┤ │ SPDR S\u0026amp;P 500 ETF Trust │ 439.02 │ -1.44 │ -0.33 │ 123.0M │ ├───────────────────────────────────────────────────┼────────┼───────┼───────┼────────┤ │ ProShares UltraPro Short QQQ │ 41.52 │ -0.10 │ -0.24 │ 110.2M │ ├───────────────────────────────────────────────────┼────────┼───────┼───────┼────────┤ │ iPath Series B S\u0026amp;P 500 VIX Short-Term Futures ETN │ 23.31 │ 0.07 │ 0.30 │ 103.6M │ ├───────────────────────────────────────────────────┼────────┼───────┼───────┼────────┤ │ ProShares UltraPro QQQ │ 53.43 │ 0.15 │ 0.28 │ 95.1M │ ├───────────────────────────────────────────────────┼────────┼───────┼───────┼────────┤ │ Invesco QQQ Trust Series I │ 347.49 │ 0.43 │ 0.12 │ 80.3M │ ├───────────────────────────────────────────────────┼────────┼───────┼───────┼────────┤ │ Financial Select Sector SPDR ETF │ 39.66 │ -0.45 │ -1.12 │ 71.5M │ ├───────────────────────────────────────────────────┼────────┼───────┼───────┼────────┤ │ Direxion Daily Semiconductor Bear 3X Shares │ 4.73 │ 0.00 │ 0.00 │ 64.3M │ ├───────────────────────────────────────────────────┼────────┼───────┼───────┼────────┤ │ iShares MSCI Emerging Markets ETF │ 48.38 │ -0.34 │ -0.70 │ 59.4M │ ├───────────────────────────────────────────────────┼────────┼───────┼───────┼────────┤ │ ProShares UltraPro Short S\u0026amp;P 500 │ 15.27 │ 0.15 │ 0.99 │ 58.8M │ └───────────────────────────────────────────────────┴────────┴───────┴───────┴────────┘ "},{"id":404,"href":"/OpenBBTerminal/terminal/etf/disc/decliners/","title":"Decliners","parent":"Disc","content":"usage: decliners [-l LIMIT] [-h] [--export {csv,json,xlsx}] Displays top ETF/Mutual fund decliners from wsj.com/market-data\noptional arguments: -l LIMIT, --limit LIMIT Limit of ETFs to display -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Example:\n2022 Feb 15, 04:26 (✨) /etf/disc/ $ decliners ETF Movers ┌──────────────────────────────────────────────────────────┬────────┬────────┬───────┬────────┐ │ │ Price │ Chg │ %Chg │ Vol │ ├──────────────────────────────────────────────────────────┼────────┼────────┼───────┼────────┤ │ ProShares UltraShort Bloomberg Natural Gas │ 33.36 │ -3.26 │ -8.90 │ 2.0M │ ├──────────────────────────────────────────────────────────┼────────┼────────┼───────┼────────┤ │ Breakwave Dry Bulk Shipping ETF │ 22.78 │ -1.95 │ -7.89 │ 308.0K │ ├──────────────────────────────────────────────────────────┼────────┼────────┼───────┼────────┤ │ MicroSectors Oil \u0026amp; Gas Exp. \u0026amp; Prod. 3x Leveraged ETN │ 37.56 │ -3.19 │ -7.83 │ 84.0K │ ├──────────────────────────────────────────────────────────┼────────┼────────┼───────┼────────┤ │ MicroSectors U.S. Big Oil Index 3X Leveraged ETN │ 316.94 │ -24.99 │ -7.31 │ 471.9K │ ├──────────────────────────────────────────────────────────┼────────┼────────┼───────┼────────┤ │ Direxion Daily S\u0026amp;P Biotech Bull 3X Shares │ 18.14 │ -0.96 │ -5.03 │ 17.8M │ ├──────────────────────────────────────────────────────────┼────────┼────────┼───────┼────────┤ │ Direxion Daily S\u0026amp;P Oil \u0026amp; Gas Exp. \u0026amp; Prod. Bull 2X Shares │ 115.64 │ -5.98 │ -4.92 │ 2.5M │ ├──────────────────────────────────────────────────────────┼────────┼────────┼───────┼────────┤ │ Global X Cannabis ETF │ 5.53 │ -0.28 │ -4.91 │ 187.2K │ ├──────────────────────────────────────────────────────────┼────────┼────────┼───────┼────────┤ │ ETFMG Alternative Harvest ETF │ 10.33 │ -0.53 │ -4.88 │ 1.1M │ ├──────────────────────────────────────────────────────────┼────────┼────────┼───────┼────────┤ │ MicroSectors Gold Miners 3X Inverse Leveraged ETN │ 14.81 │ -0.72 │ -4.64 │ 89.9K │ ├──────────────────────────────────────────────────────────┼────────┼────────┼───────┼────────┤ │ Direxion Daily Energy Bull 2X Shares │ 44.98 │ -2.12 │ -4.50 │ 8.8M │ └──────────────────────────────────────────────────────────┴────────┴────────┴───────┴────────┘ "},{"id":405,"href":"/OpenBBTerminal/terminal/etf/disc/gainers/","title":"Gainers","parent":"Disc","content":"usage: gainers [-l LIMIT] [-h] [--export {csv,json,xlsx}] Displays top ETF/Mutual fund gainers from wsj.com/market-data\noptional arguments: -l LIMIT, --limit LIMIT Limit of ETFs to display -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Example:\n2022 Feb 15, 04:25 (✨) /etf/disc/ $ gainers ETF Movers ┌─────────────────────────────────────────────────────────────┬───────┬──────┬──────┬────────┐ │ │ Price │ Chg │ %Chg │ Vol │ ├─────────────────────────────────────────────────────────────┼───────┼──────┼──────┼────────┤ │ MicroSectors U.S. Big Banks Index -3X Inverse Leveraged ETN │ 8.69 │ 0.69 │ 8.69 │ 97.8K │ ├─────────────────────────────────────────────────────────────┼───────┼──────┼──────┼────────┤ │ ProShares Ultra Bloomberg Natural Gas │ 31.92 │ 2.54 │ 8.65 │ 4.1M │ ├─────────────────────────────────────────────────────────────┼───────┼──────┼──────┼────────┤ │ MicroSectors U.S. Big Oil Index -3X Inverse Leveraged ETN │ 3.37 │ 0.23 │ 7.32 │ 6.1M │ ├─────────────────────────────────────────────────────────────┼───────┼──────┼──────┼────────┤ │ MicroSectors Gold Miners 3X Leveraged ETN │ 11.51 │ 0.71 │ 6.57 │ 811.8K │ ├─────────────────────────────────────────────────────────────┼───────┼──────┼──────┼────────┤ │ Direxion Daily S\u0026amp;P Oil \u0026amp; Gas Exp. \u0026amp; Prod. Bear 2X Shares │ 3.76 │ 0.19 │ 5.32 │ 13.9M │ ├─────────────────────────────────────────────────────────────┼───────┼──────┼──────┼────────┤ │ Direxion Daily S\u0026amp;P Biotech Bear 3X Shares │ 39.64 │ 1.89 │ 5.01 │ 5.5M │ ├─────────────────────────────────────────────────────────────┼───────┼──────┼──────┼────────┤ │ Direxion Daily Russia Bull 2X Shares │ 20.84 │ 0.95 │ 4.78 │ 277.8K │ ├─────────────────────────────────────────────────────────────┼───────┼──────┼──────┼────────┤ │ Direxion Daily Energy Bear 2X Shares │ 6.98 │ 0.31 │ 4.65 │ 3.4M │ ├─────────────────────────────────────────────────────────────┼───────┼──────┼──────┼────────┤ │ United States Natural Gas Fund L.P. │ 14.55 │ 0.60 │ 4.30 │ 7.8M │ ├─────────────────────────────────────────────────────────────┼───────┼──────┼──────┼────────┤ │ ProShares UltraShort Oil \u0026amp; Gas │ 29.74 │ 1.17 │ 4.10 │ 122.5K │ └─────────────────────────────────────────────────────────────┴───────┴──────┴──────┴────────┘ "},{"id":406,"href":"/OpenBBTerminal/terminal/etf/holdings/","title":"Holdings","parent":"Exchange Traded Funds (ETFs)","content":"usage: holdings [-l LIMIT] [-h] [--export {csv,json,xlsx}] See what is inside an ETF holdings.\noptional arguments: -l LIMIT, --limit LIMIT Number of holdings to get (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 04:15 (✨) /etf/ $ holdings ETF Holdings ┌───────┬──────────┬─────────────┐ │ │ % Of Etf │ Shares │ ├───────┼──────────┼─────────────┤ │ AAPL │ 6.83% │ 329,111,779 │ ├───────┼──────────┼─────────────┤ │ MSFT │ 6.23% │ 158,536,434 │ ├───────┼──────────┼─────────────┤ │ AMZN │ 3.59% │ 9,209,552 │ ├───────┼──────────┼─────────────┤ │ GOOGL │ 2.15% │ 6,351,744 │ ├───────┼──────────┼─────────────┤ │ TSLA │ 2.12% │ 17,176,682 │ ├───────┼──────────┼─────────────┤ │ GOOG │ 2.00% │ 5,904,299 │ ├───────┼──────────┼─────────────┤ │ FB │ 1.96% │ 49,965,809 │ ├───────┼──────────┼─────────────┤ │ NVDA │ 1.81% │ 52,789,400 │ ├───────┼──────────┼─────────────┤ │ BRK.B │ 1.35% │ 38,670,223 │ ├───────┼──────────┼─────────────┤ │ UNH │ 1.17% │ 19,887,839 │ └───────┴──────────┴─────────────┘ "},{"id":407,"href":"/OpenBBTerminal/terminal/etf/ld/","title":"Ld","parent":"Exchange Traded Funds (ETFs)","content":"Search for an ETF by description using either FinanceDatabase or StockAnalysis as the source.\nusage: ld [-d DESCRIPTION [DESCRIPTION ...]] [-l LIMIT] [-h] [--export {csv,json,xlsx}] Lookup by description [Source: FinanceDatabase/StockAnalysis.com] optional arguments: -d DESCRIPTION [DESCRIPTION ...], --description DESCRIPTION [DESCRIPTION ...] Name to look for ETFs (default: None) -l LIMIT, --limit LIMIT Limit of ETFs to display (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Sample output:\n2022 Jan 18, 23:52 (✨) /etf/ $ ld 3X -l 10 ╒══════╤═════════════════════════════════════════════════════╤══════════════╤═══════════════════════════╤════════════════════╕ │ │ Name │ Family │ Category │ Total Assets [M] │ ╞══════╪═════════════════════════════════════════════════════╪══════════════╪═══════════════════════════╪════════════════════╡ │ TQQQ │ ProShares UltraPro QQQ │ ProShares │ Trading--Leveraged Equity │ 11266.33 │ ├──────┼─────────────────────────────────────────────────────┼──────────────┼───────────────────────────┼────────────────────┤ │ UPRO │ ProShares UltraPro S\u0026amp;P500 │ ProShares │ Trading--Leveraged Equity │ 2007.68 │ ├──────┼─────────────────────────────────────────────────────┼──────────────┼───────────────────────────┼────────────────────┤ │ SQQQ │ ProShares UltraPro Short QQQ │ ProShares │ Trading--Inverse Equity │ 1515.03 │ ├──────┼─────────────────────────────────────────────────────┼──────────────┼───────────────────────────┼────────────────────┤ │ UDOW │ ProShares UltraPro Dow30 │ ProShares │ Trading--Leveraged Equity │ 878.03 │ ├──────┼─────────────────────────────────────────────────────┼──────────────┼───────────────────────────┼────────────────────┤ │ SPXU │ ProShares UltraPro Short S\u0026amp;P500 │ ProShares │ Trading--Inverse Equity │ 510.83 │ ├──────┼─────────────────────────────────────────────────────┼──────────────┼───────────────────────────┼────────────────────┤ │ NRGU │ MicroSectors U.S. Big Oil Index 3X Leveraged ETNs │ Microsectors │ │ 448.66 │ ├──────┼─────────────────────────────────────────────────────┼──────────────┼───────────────────────────┼────────────────────┤ │ URTY │ ProShares UltraPro Russell2000 │ ProShares │ Trading--Leveraged Equity │ 444.82 │ ├──────┼─────────────────────────────────────────────────────┼──────────────┼───────────────────────────┼────────────────────┤ │ SDOW │ ProShares UltraPro Short Dow30 │ ProShares │ Trading--Inverse Equity │ 380.26 │ ├──────┼─────────────────────────────────────────────────────┼──────────────┼───────────────────────────┼────────────────────┤ │ SRTY │ ProShares UltraPro Short Russell2000 │ ProShares │ Trading--Inverse Equity │ 110.51 │ ├──────┼─────────────────────────────────────────────────────┼──────────────┼───────────────────────────┼────────────────────┤ │ BNKU │ MicroSectors U.S. Big Banks Index 3X Leveraged ETNs │ Microsectors │ Trading--Leveraged Equity │ 86.87 │ ╘══════╧═════════════════════════════════════════════════════╧══════════════╧═══════════════════════════╧════════════════════╛ "},{"id":408,"href":"/OpenBBTerminal/terminal/etf/ln/","title":"Ln","parent":"Exchange Traded Funds (ETFs)","content":"Search for an ETF by name, using either FinanceDatabase or Stockanalysis.com as the source.\nusage: ln -n NAME [NAME ...] [-s {sa,fd}] [-l LIMIT] [-h] [--export {csv,json,xlsx}] ln: error: the following arguments are required: -n/--name Sample output:\n2022 Jan 18, 23:49 (✨) /etf/ $ ln energy -l 10 ╒══════╤═══════════════════════════════════════════════════════╤═══════════════════════════════════╤════════════════════════════╤════════════════════╕ │ │ Name │ Family │ Category │ Total Assets [M] │ ╞══════╪═══════════════════════════════════════════════════════╪═══════════════════════════════════╪════════════════════════════╪════════════════════╡ │ XLE │ Energy Select Sector SPDR Fund │ SPDR State Street Global Advisors │ Equity Energy │ 23081.07 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────────────────┼────────────────────┤ │ VDE │ Vanguard Energy Index Fund ETF Shares │ Vanguard │ Equity Energy │ 5883.56 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────────────────┼────────────────────┤ │ ICLN │ iShares Global Clean Energy ETF │ iShares │ Miscellaneous Sector │ 5811.92 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────────────────┼────────────────────┤ │ QCLN │ First Trust NASDAQ Clean Edge Green Energy Index Fund │ First Trust │ Miscellaneous Sector │ 2680.65 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────────────────┼────────────────────┤ │ PBW │ Invesco WilderHill Clean Energy ETF │ Invesco │ Miscellaneous Sector │ 2200.06 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────────────────┼────────────────────┤ │ EMLP │ First Trust North American Energy Infrastructure Fund │ First Trust │ Energy Limited Partnership │ 1858.28 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────────────────┼────────────────────┤ │ IXC │ iShares Global Energy ETF │ iShares │ Equity Energy │ 1312.18 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────────────────┼────────────────────┤ │ ACES │ ALPS Clean Energy ETF │ ALPS │ Equity Energy │ 970.75 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────────────────┼────────────────────┤ │ FENY │ Fidelity MSCI Energy Index ETF │ Fidelity Investments │ Equity Energy │ 889.72 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────────────────┼────────────────────┤ │ MLPX │ Global X MLP \u0026amp; Energy Infrastructure ETF │ Global X Funds │ Energy Limited Partnership │ 714.83 │ ╘══════╧═══════════════════════════════════════════════════════╧═══════════════════════════════════╧════════════════════════════╧════════════════════╛ "},{"id":409,"href":"/OpenBBTerminal/terminal/etf/news/","title":"News","parent":"Exchange Traded Funds (ETFs)","content":"usage: news [-l LIMIT] [-d N_START_DATE] [-o] [-s SOURCES [SOURCES ...]] [-h] Prints latest news about ETF, including date, title and web link. [Source: News API]\noptional arguments: -l LIMIT, --limit LIMIT Limit of latest news being printed. -d N_START_DATE, --date N_START_DATE The starting date (format YYYY-MM-DD) to search articles from -o, --oldest Show oldest articles first -s SOURCES [SOURCES ...], --sources SOURCES [SOURCES ...] Show news only from the sources specified (e.g bbc yahoo.com) -h, --help show this help message Sample output:\n18 news articles for iShares+Russell+2000+ETF were found since 2022-01-11 2022-01-18 18:38:25 First National Bank of South Miami Buys iShares Commodities Select Strategy ETF, Walmart Inc, ... https://finance.yahoo.com/news/first-national-bank-south-miami-183825873.html 2022-01-18 16:53:20 Stock Market Sinks As Techs, Financials Slide; 3 Energy Stocks Top Buy Points https://www.investors.com/market-trend/stock-market-today/stock-market-slides-as-yields-keep-rising-3-stocks-in-energy-sector-top-buy-points/ 2022-01-18 14:00:00 Vistra: Turning A Threat Into An Opportunity https://seekingalpha.com/article/4480026-vistra-turning-a-threat-into-an-opportunity 2022-01-18 11:17:44 Dow Jones Futures Fall, Techs Dive As Treasury Yield Hits 2-Year High; Apple, Qualcomm Near Buy Points https://www.investors.com/market-trend/stock-market-today/dow-jones-futures-fall-techs-dive-treasury-yield-hits-2-year-high-apple-qualcomm-stock-near-buy-points/ 2022-01-17 16:30:54 IYW: Technology Dashboard For January https://seekingalpha.com/article/4479986-iyw-technology-dashboard-for-january "},{"id":410,"href":"/OpenBBTerminal/terminal/etf/overview/","title":"Overview","parent":"Exchange Traded Funds (ETFs)","content":"usage: overview [-h] [--export {csv,json,xlsx}] Get overview data for selected etf\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 04:14 (✨) /etf/ $ overview ETF Overview Information ┌────────────────┬────────────┐ │ │ VOO │ ├────────────────┼────────────┤ │ Assets │ $283.52B │ ├────────────────┼────────────┤ │ NAV │ $413.03 │ ├────────────────┼────────────┤ │ Expense Ratio │ 0.03% │ ├────────────────┼────────────┤ │ PE Ratio │ 24.90 │ ├────────────────┼────────────┤ │ Shares Out │ 686.44M │ ├────────────────┼────────────┤ │ Dividend (ttm) │ $5.44 │ ├────────────────┼────────────┤ │ Dividend Yield │ 1.35% │ ├────────────────┼────────────┤ │ Volume │ 10,167,584 │ ├────────────────┼────────────┤ │ Open │ 404.43 │ ├────────────────┼────────────┤ │ Previous Close │ 404.94 │ ├────────────────┼────────────┤ │ 52-Week Low │ 341.92 │ ├────────────────┼────────────┤ │ 52-Week High │ 341.92 │ ├────────────────┼────────────┤ │ Beta │ 0.99 │ ├────────────────┼────────────┤ │ Holdings │ 510 │ └────────────────┴────────────┘ "},{"id":411,"href":"/OpenBBTerminal/terminal/etf/pir/","title":"Pir","parent":"Exchange Traded Funds (ETFs)","content":"usage: pir [-e NAMES] [--filename FILENAME] [--folder FOLDER] [-h] Creates a passive investor ETF spreadsheet report [Source: ThePassiveInvestor]\noptional arguments: -e NAMES, --etfs NAMES Symbols to create a report for (e.g. ARKW,ARKQ) (default: VOO) --filename FILENAME Filename of the excel ETF report (default: ETF_report_20220215_102908) --folder FOLDER Folder where the excel ETF report will be saved -h, --help show this help message (default: False) "},{"id":412,"href":"/OpenBBTerminal/terminal/etf/scr/","title":"Scr","parent":"Exchange Traded Funds (ETFs)","content":" Sbc Screen Set View "},{"id":413,"href":"/OpenBBTerminal/terminal/etf/scr/sbc/","title":"Sbc","parent":"Scr","content":"usage: sbc [-c CATEGORY [CATEGORY ...]] [-l LIMIT] [-h] [--export {csv,json,xlsx}] Search by category [Source: FinanceDatabase/StockAnalysis.com]\noptional arguments: -c CATEGORY [CATEGORY ...], --category CATEGORY [CATEGORY ...] Category to look for (default: None) -l LIMIT, --limit LIMIT Limit of ETFs to display (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 04:30 (✨) /etf/scr/ $ sbc Communications ETFs by Category and Total Assets ┌──────┬───────────────────────────────────────────────────────┬───────────────────────────────────┬────────────────┬──────────────────┐ │ │ Name │ Family │ Category │ Total Assets [M] │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────┼──────────────────┤ │ XLC │ Communication Services Select Sector SPDR Fund │ SPDR State Street Global Advisors │ Communications │ 13497.92 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────┼──────────────────┤ │ VOX │ Vanguard Communication Services Index Fund ETF Shares │ Vanguard │ Communications │ 3716.34 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────┼──────────────────┤ │ FIVG │ Defiance 5G Next Gen Connectivity ETF │ Defiance ETFs │ Communications │ 1210.04 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────┼──────────────────┤ │ FCOM │ Fidelity MSCI Communication Services Index ETF │ Fidelity Investments │ Communications │ 723.48 │ ├──────┼───────────────────────────────────────────────────────┼───────────────────────────────────┼────────────────┼──────────────────┤ │ IYZ │ iShares U.S. Telecommunications ETF │ iShares │ Communications │ 409.20 │ └──────┴───────────────────────────────────────────────────────┴───────────────────────────────────┴────────────────┴──────────────────┘ "},{"id":414,"href":"/OpenBBTerminal/terminal/etf/scr/screen/","title":"Screen","parent":"Scr","content":"usage: screen [-l LIMIT] [-s {Assets,NAV,Expense,PE,SharesOut,Div,DivYield,Volume,Open,PrevClose,YrLow,YrHigh,Beta,N_Hold}] [-a] [-h] [--export {csv,json,xlsx}] Screens ETFs by the metrics listed below.\noptional arguments: -l LIMIT, --limit LIMIT Limit of etfs to display (default: 10) -s {Assets,NAV,Expense,PE,SharesOut,Div,DivYield,Volume,Open,PrevClose,YrLow,YrHigh,Beta,N_Hold}, --sort {Assets,NAV,Expense,PE,SharesOut,Div,DivYield,Volume,Open,PrevClose,YrLow,YrHigh,Beta,N_Hold} Sort by given column. Default: Assets (default: Assets) -a, --ascend Flag to sort in ascending order (lowest on top) (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 04:31 (✨) /etf/scr/ $ screen -s Assets Display Screener Output ┌──────┬───────────┬────────┬─────────┬───────┬───────────┬──────┬──────────┬──────────────┬────────┬───────────┬────────┬────────┬──────┬──────────┐ │ │ Assets │ NAV │ Expense │ PE │ SharesOut │ Div │ DivYield │ Volume │ Open │ PrevClose │ YrLow │ YrHigh │ Beta │ N_Hold │ ├──────┼───────────┼────────┼─────────┼───────┼───────────┼──────┼──────────┼──────────────┼────────┼───────────┼────────┼────────┼──────┼──────────┤ │ SPY │ 407710.00 │ 449.25 │ 0.09 │ 22.23 │ 907.53 │ 5.72 │ 1.30 │ 105187361.00 │ 439.92 │ 440.46 │ 371.88 │ 371.88 │ 0.99 │ 507.00 │ ├──────┼───────────┼────────┼─────────┼───────┼───────────┼──────┼──────────┼──────────────┼────────┼───────────┼────────┼────────┼──────┼──────────┤ │ IVV │ 327710.00 │ 451.23 │ 0.03 │ 33.47 │ 726.25 │ 5.73 │ 1.30 │ 3866837.00 │ 441.88 │ 442.35 │ 373.26 │ 373.26 │ 0.99 │ 509.00 │ ├──────┼───────────┼────────┼─────────┼───────┼───────────┼──────┼──────────┼──────────────┼────────┼───────────┼────────┼────────┼──────┼──────────┤ │ VTI │ 286290.00 │ 227.20 │ 0.03 │ 23.80 │ 1260.00 │ 2.93 │ 1.32 │ 3848114.00 │ 222.52 │ 222.94 │ 194.11 │ 194.11 │ 1.03 │ 4143.00 │ ├──────┼───────────┼────────┼─────────┼───────┼───────────┼──────┼──────────┼──────────────┼────────┼───────────┼────────┼────────┼──────┼──────────┤ │ VOO │ 283520.00 │ 413.03 │ 0.03 │ 24.90 │ 686.44 │ 5.44 │ 1.34 │ 9337255.00 │ 404.43 │ 404.94 │ 341.92 │ 341.92 │ 0.99 │ 510.00 │ ├──────┼───────────┼────────┼─────────┼───────┼───────────┼──────┼──────────┼──────────────┼────────┼───────────┼────────┼────────┼──────┼──────────┤ │ QQQ │ 187220.00 │ 358.29 │ 0.20 │ 30.43 │ 522.55 │ 1.70 │ 0.49 │ 74397251.00 │ 346.49 │ 347.06 │ 297.45 │ 297.45 │ 1.03 │ 103.00 │ ├──────┼───────────┼────────┼─────────┼───────┼───────────┼──────┼──────────┼──────────────┼────────┼───────────┼────────┼────────┼──────┼──────────┤ │ VEA │ 109380.00 │ 49.74 │ 0.05 │ 16.00 │ 2200.00 │ 1.61 │ 3.31 │ 17018993.00 │ 48.99 │ 49.15 │ 47.59 │ 47.59 │ 0.87 │ 4129.00 │ ├──────┼───────────┼────────┼─────────┼───────┼───────────┼──────┼──────────┼──────────────┼────────┼───────────┼────────┼────────┼──────┼──────────┤ │ IEFA │ 103720.00 │ 72.44 │ 0.07 │ 20.91 │ 1430.00 │ 2.48 │ 3.41 │ 12167913.00 │ 72.49 │ 73.51 │ 67.59 │ 67.59 │ 0.84 │ 3090.00 │ ├──────┼───────────┼────────┼─────────┼───────┼───────────┼──────┼──────────┼──────────────┼────────┼───────────┼────────┼────────┼──────┼──────────┤ │ VTV │ 100240.00 │ 146.87 │ 0.04 │ 17.30 │ 682.50 │ 3.16 │ 2.19 │ 1777273.00 │ 145.39 │ 145.48 │ 123.58 │ 123.58 │ 0.97 │ 358.00 │ ├──────┼───────────┼────────┼─────────┼───────┼───────────┼──────┼──────────┼──────────────┼────────┼───────────┼────────┼────────┼──────┼──────────┤ │ AGG │ 87560.00 │ 109.45 │ 0.04 │ │ 800.00 │ 1.99 │ 1.82 │ 3577712.00 │ 109.66 │ 110.10 │ 109.34 │ 109.34 │ 0.01 │ 10040.00 │ ├──────┼───────────┼────────┼─────────┼───────┼───────────┼──────┼──────────┼──────────────┼────────┼───────────┼────────┼────────┼──────┼──────────┤ │ VWO │ 83260.00 │ 50.16 │ 0.10 │ 13.30 │ 1660.00 │ 1.30 │ 2.63 │ 8230461.00 │ 49.39 │ 49.61 │ 47.49 │ 47.49 │ 0.79 │ 4440.00 │ └──────┴───────────┴────────┴─────────┴───────┴───────────┴──────┴──────────┴──────────────┴────────┴───────────┴────────┴────────┴──────┴──────────┘ "},{"id":415,"href":"/OpenBBTerminal/terminal/etf/scr/set/","title":"Set","parent":"Scr","content":"usage: set [-p {etf_config}] [-h] Set the preset to use.\noptional arguments: -p {etf_config}, --preset {etf_config} Filter presets -h, --help show this help message "},{"id":416,"href":"/OpenBBTerminal/terminal/etf/scr/view/","title":"View","parent":"Scr","content":"usage: view [-p {etf_config}] [-h] View available presets under presets folder. Use the etf_confg.ini file to create custom presets.\noptional arguments: -p {etf_config}, --preset {etf_config} View specific custom preset -h, --help show this help message "},{"id":417,"href":"/OpenBBTerminal/terminal/etf/summary/","title":"Summary","parent":"Exchange Traded Funds (ETFs)","content":"usage: summary [-h] Displays the summary description of the loaded ETF. optional arguments: -h, --help show this help message (default: False) Sample output:\nThe fund generally invests at least 80% of its assets in the component securities of its underlying index and in investments that have economic characteristics that are substantially identical to the component securities of its underlying index (i.e., depositary receipts representing securities of the underlying index) and may invest up to 20% of its assets in certain futures, options and swap contracts, cash and cash equivalents. "},{"id":418,"href":"/OpenBBTerminal/terminal/etf/weights/","title":"Weights","parent":"Exchange Traded Funds (ETFs)","content":"usage: weights [-m MIN] [--raw] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Look at ETF sector holdings\noptional arguments: -m MIN, --min MIN Minimum positive float to display sector (default: 5) --raw Only output raw data (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":419,"href":"/OpenBBTerminal/terminal/forex/","title":"Forex","parent":"OpenBB Terminal","content":"Forex trading takes place in the foreign exchange market. Currency is significant because it allows us to buy goods and services both locally and internationally. To undertake international trade and business, international currencies must be exchanged.\nIf you live in the United States and wish to purchase goods from Europe, you or the firm from which you purchase the goods must pay in euros (EUR). This means that the importer in the United States would have to convert the same amount of dollars (USD) into euros.\nThe same is true when it comes to traveling. Because euros are not accepted in China, visitors must exchange euros for the local currency.\nAvailable commands Candle Fwd Load Oanda Calendar Cancel Candles Closetrade Orderbook Pending Positionbook Positions Quote Select "},{"id":420,"href":"/OpenBBTerminal/terminal/forex/candle/","title":"Candle","parent":"Forex","content":"usage: candle [--ma MOV_AVG] [-h] Show candle for loaded fx data\noptional arguments: --ma MOV_AVG Add moving average in number of days to plot and separate by a comma (default: None) -h, --help show this help message (default: False) "},{"id":421,"href":"/OpenBBTerminal/terminal/forex/fwd/","title":"Fwd","parent":"Forex","content":"usage: fwd [-h] [--export EXPORT] Get forward rates for loaded pair.\noptions: -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) Sample usage:\n Forward rates for EUR/USD Forward rates for EUR/USD ┏━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┓ ┃ Expirations ┃ Ask ┃ Bid ┃ Mid ┃ Points ┃ ┡━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━┩ │ Overnight │ 1.0791 │ 1.0790 │ 1.0791 │ 0.3100 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Tomorrow Next │ 1.0791 │ 1.0790 │ 1.0791 │ 0.3100 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Spot Next │ 1.0792 │ 1.0791 │ 1.0791 │ 0.9050 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ One Week │ 1.0793 │ 1.0792 │ 1.0792 │ 2.0800 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Two Weeks │ 1.0795 │ 1.0795 │ 1.0795 │ 4.5000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Three Weeks │ 1.0798 │ 1.0798 │ 1.0798 │ 7.6400 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ One Month │ 1.0803 │ 1.0802 │ 1.0803 │ 12.4195 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Two Months │ 1.0818 │ 1.0817 │ 1.0818 │ 27.3000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Three Months │ 1.0838 │ 1.0835 │ 1.0836 │ 45.9245 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Four Months │ 1.0858 │ 1.0857 │ 1.0857 │ 67.0500 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Five Months │ 1.0879 │ 1.0878 │ 1.0878 │ 88.0500 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Six Months │ 1.0903 │ 1.0902 │ 1.0903 │ 112.5000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Seven Months │ 1.0925 │ 1.0924 │ 1.0925 │ 134.4000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Eight Months │ 1.0949 │ 1.0947 │ 1.0948 │ 157.7000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Nine Months │ 1.0983 │ 1.0981 │ 1.0982 │ 191.8000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Ten Months │ 1.1007 │ 1.1004 │ 1.1006 │ 215.3000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Eleven Months │ 1.1030 │ 1.1029 │ 1.1030 │ 239.3000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ One Year │ 1.1059 │ 1.1057 │ 1.1058 │ 267.7000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Two Years │ 1.1311 │ 1.1306 │ 1.1309 │ 518.3000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Three Years │ 1.1500 │ 1.1493 │ 1.1497 │ 706.2000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Four Years │ 1.1712 │ 1.1691 │ 1.1702 │ 911.2000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Five Years │ 1.1890 │ 1.1859 │ 1.1874 │ 1084.0000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Six Years │ 1.2068 │ 1.2042 │ 1.2055 │ 1264.5000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Seven Years │ 1.2236 │ 1.2200 │ 1.2218 │ 1427.5000 │ ├───────────────┼────────┼────────┼────────┼───────────┤ │ Ten Years │ 1.2661 │ 1.2595 │ 1.2628 │ 1837.5000 │ └───────────────┴────────┴────────┴────────┴───────────┘ "},{"id":422,"href":"/OpenBBTerminal/terminal/forex/load/","title":"Load","parent":"Forex","content":"usage: load [-t TICKER] [--source {yf,av,polygon}] [-r {i,d,w,m}] [-i {1min,2min,5min,15min,30min,60min,90min,1hour,1day,5day,1week,1month,3month}] [-s START_DATE] [-h] Load historical exchange rate data. Available data sources are Polygon, Alpha Vantage and YahooFinance. Main default source is polygon, if a key is provided. To change it use \u0026ndash;source av\noptions: -t TICKER, --ticker TICKER Currency pair to load. (default: None) --source {yf,av,polygon} Source of historical data (default: polygon) -r {i,d,w,m}, --resolution {i,d,w,m} [Alphavantage only] Resolution of data. Can be intraday, daily, weekly or monthly (default: d) -i {1min,2min,5min,15min,30min,60min,90min,1hour,1day,5day,1week,1month,3month}, --interval {1min,2min,5min,15min,30min,60min,90min,1hour,1day,5day,1week,1month,3month} Interval of intraday data. Options: [YahooFinance] 1min, 2min, 5min, 15min, 30min, 60min, 90min, 1hour, 1day, 5day, 1week, 1month, 3month. [AlphaAdvantage] 1min, 5min, 15min, 30min, 60min (default: 1day) -s START_DATE, --start_date START_DATE Start date of data. (default: 2021-05-26 15:04:04.138183) -h, --help show this help message (default: False) "},{"id":423,"href":"/OpenBBTerminal/terminal/forex/oanda/","title":"Oanda","parent":"Forex","content":"OANDA Corporation is a foreign exchange company that provides internet-based forex trading and currency information services.\nAvailable commands: Calendar Cancel Candles Closetrade Orderbook Pending Positionbook Positions "},{"id":424,"href":"/OpenBBTerminal/terminal/forex/oanda/calendar/","title":"Calendar","parent":"Oanda","content":"usage: calendar [-d DAYS] [-h] Show Calendar Data\noptional arguments: -d DAYS, --days DAYS The number of days to search for, up to 30 forward or backward use negative numbers to search back. -h, --help show this help message "},{"id":425,"href":"/OpenBBTerminal/terminal/forex/oanda/cancel/","title":"Cancel","parent":"Oanda","content":"usage: cancel [-i ORDERID] [-h] Cancel a Pending Order.\noptional arguments: -i ORDERID, --id ORDERID The pending order ID to cancel. -h, --help Show this help message "},{"id":426,"href":"/OpenBBTerminal/terminal/forex/oanda/candles/","title":"Candles","parent":"Oanda","content":"usage: candles [-g GRANULARITY] [-l CANDLECOUNT] [-a] [-b] [-c] [-e] [-o] [-r] [-s] [-v] [-h] Display Candle Data\noptional arguments: -g GRANULARITY, --granularity GRANULARITY The timeframe to get for the candle chart (Seconds: S5, S10, S15, S30 Minutes: M1, M2, M4, M5, M10, M15, M30 Hours: H1, H2, H3, H4, H6, H8, H12 Day (default): D, Week: W Month: M -l CANDLECOUNT, --limit CANDLECOUNT The number of candles to retrieve. Default:180 -a, --ad Adds ad (Accumulation/Distribution Indicator) to the chart -b, --bbands Adds Bollinger Bands to the chart -c, --cci Adds cci (Commodity Channel Index) to the chart -e, --ema Adds ema (Exponential Moving Average) to the chart -o, --obv Adds obv (On Balance Volume) to the chart -r, --rsi Adds rsi (Relative Strength Index) to the chart -s, --sma Adds sma (Simple Moving Average) to the chart -v, --vwap Adds vwap (Volume Weighted Average Price) to the chart -h, --help show this help message "},{"id":427,"href":"/OpenBBTerminal/terminal/forex/oanda/closetrade/","title":"Closetrade","parent":"Oanda","content":"usage: closetrade [-i ORDERID] [-u UNITS] [-h] Close a trade by id.\noptional arguments: -i ORDERID, --id ORDERID The Trade ID to close. -u UNITS, --units UNITS The number of units on the trade to close. If not set it defaults to all units. -h, --help Show this help message "},{"id":428,"href":"/OpenBBTerminal/terminal/forex/oanda/orderbook/","title":"Orderbook","parent":"Oanda","content":"usage: orderbook [-h] Plot an orderbook for an instrument if Oanda provides one.\noptional arguments: -h, --help show this help message "},{"id":429,"href":"/OpenBBTerminal/terminal/forex/oanda/pending/","title":"Pending","parent":"Oanda","content":"usage: pending [-h] Get information about pending orders.\noptional arguments: -h, --help show this help message "},{"id":430,"href":"/OpenBBTerminal/terminal/forex/oanda/positionbook/","title":"Positionbook","parent":"Oanda","content":"usage: positionbook [-h] Plot a position book for an instrument if Oanda provides one.\noptional arguments: -h, --help show this help message "},{"id":431,"href":"/OpenBBTerminal/terminal/forex/oanda/positions/","title":"Positions","parent":"Oanda","content":"usage: positions [-h] Get information about open positions.\noptional arguments: -h, --help show this help message "},{"id":432,"href":"/OpenBBTerminal/terminal/forex/quote/","title":"Quote","parent":"Forex","content":"usage: quote [-h] Get current exchange rate quote\noptional arguments: -h, --help show this help message (default: False) 2022 Feb 15, 04:06 (✨) /forex/ $ quote USD/EUR Quote ┌────────────────────┬─────────────────────────────────┐ │ │ Realtime Currency Exchange Rate │ ├────────────────────┼─────────────────────────────────┤ │ From_Currency Code │ USD │ ├────────────────────┼─────────────────────────────────┤ │ To_Currency Code │ EUR │ ├────────────────────┼─────────────────────────────────┤ │ Last Refreshed │ 2022-02-15 09:07:21 │ ├────────────────────┼─────────────────────────────────┤ │ Exchange Rate │ 0.88090000 │ ├────────────────────┼─────────────────────────────────┤ │ Bid Price │ 0.88090000 │ ├────────────────────┼─────────────────────────────────┤ │ Ask Price │ 0.88090000 │ └────────────────────┴─────────────────────────────────┘ "},{"id":433,"href":"/OpenBBTerminal/terminal/forex/select/","title":"Select","parent":"Forex","content":"Select is separated in two options, \u0026ldquo;from\u0026rdquo; and \u0026ldquo;to\u0026rdquo;:\nusage: from [-n FROM_SYMBOL] [-h] Select the \u0026ldquo;from\u0026rdquo; currency symbol in a forex pair\noptional arguments: -n FROM_SYMBOL, --name FROM_SYMBOL From currency (default: None) -h, --help show this help message (default: False) usage: to [-n TO_SYMBOL] [-h] Select the \u0026ldquo;to\u0026rdquo; currency symbol in a forex pair\noptional arguments: -n TO_SYMBOL, --name TO_SYMBOL To currency (default: None) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 04:10 (✨) /forex/ $ from USD Selected pair From: USD To: USD 2022 Feb 15, 04:10 (✨) /forex/ $ to EUR Selected pair From: USD To: EUR "},{"id":434,"href":"/OpenBBTerminal/terminal/funds/","title":"Funds","parent":"OpenBB Terminal","content":"Funds are a collection of money set aside for a specific purpose. A fund can be created for a variety of reasons, such as a municipal government putting money aside to build a new civic center, a college putting money away to grant a scholarship, or an insurance company putting money aside to settle its customers' claims.\nAvailable commands Country Equity Info Load Overview Plot Search Sector "},{"id":435,"href":"/OpenBBTerminal/terminal/funds/country/","title":"Country","parent":"Funds","content":"usage: country [-n NAME [NAME ...]] [-h] Set a country for funds\noptional arguments: -n NAME [NAME ...], --name NAME [NAME ...] country to select (default: None) -h, --help show this help message (default: False) "},{"id":436,"href":"/OpenBBTerminal/terminal/funds/equity/","title":"Equity","parent":"Funds","content":"usage: equity [-h] Show fund equity holdings.\noptional arguments: -h, --help show this help message (default: False) 2022 Feb 15, 03:48 (✨) /funds/ $ equity VFIAX Equity Holdings ┌─────────────────────────┬─────────────┐ │ Equity │ Holding │ ├─────────────────────────┼─────────────┤ │ Price To Cash Flow │ 1757.00 │ ├─────────────────────────┼─────────────┤ │ Price To Sales │ 296.00 │ ├─────────────────────────┼─────────────┤ │ Price To Book Cat │ 498.00 │ ├─────────────────────────┼─────────────┤ │ Price To Earnings Cat │ 2632.00 │ ├─────────────────────────┼─────────────┤ │ Median Market Cap Cat │ 26587520.00 │ ├─────────────────────────┼─────────────┤ │ 3Yr Earnings Growth Cat │ 1953.00 │ ├─────────────────────────┼─────────────┤ │ 3Y Earnings Growth │ 1872.00 │ ├─────────────────────────┼─────────────┤ │ Median Market Cap │ 19745245.00 │ ├─────────────────────────┼─────────────┤ │ Price To Earnings │ 2646.00 │ ├─────────────────────────┼─────────────┤ │ Price To Book │ 442.00 │ ├─────────────────────────┼─────────────┤ │ Price To Sales Cat │ 279.00 │ ├─────────────────────────┼─────────────┤ │ Price To Cashflow Cat │ 1761.00 │ └─────────────────────────┴─────────────┘ "},{"id":437,"href":"/OpenBBTerminal/terminal/funds/info/","title":"Info","parent":"Funds","content":"usage: info [-f FUND] [--name] [-h] Get fund information.\noptional arguments: -f FUND, --fund FUND Fund string to search for (default: None) --name Flag to indicate name provided instead of symbol. (default: False) -h, --help show this help message (default: False) Vanguard 500 Index Fund Admiral Shares Information ┌────────────────┬────────────────────────────────────────┐ │ Info │ Value │ ├────────────────┼────────────────────────────────────────┤ │ Fund Name │ vanguard 500 index fund admiral shares │ ├────────────────┼────────────────────────────────────────┤ │ 1-Year Change │ 12.27% │ ├────────────────┼────────────────────────────────────────┤ │ TTM Yield │ 1.30% │ ├────────────────┼────────────────────────────────────────┤ │ ROE │ 32.76% │ ├────────────────┼────────────────────────────────────────┤ │ Issuer │ Vanguard │ ├────────────────┼────────────────────────────────────────┤ │ Turnover │ 1% │ ├────────────────┼────────────────────────────────────────┤ │ ROA │ 12.24% │ ├────────────────┼────────────────────────────────────────┤ │ Inception Date │ 13/11/2000 │ ├────────────────┼────────────────────────────────────────┤ │ Total Assets │ 429580000000.00 │ ├────────────────┼────────────────────────────────────────┤ │ Expenses │ 0.04% │ ├────────────────┼────────────────────────────────────────┤ │ Market Cap │ 230900000000.00 │ └────────────────┴────────────────────────────────────────┘ "},{"id":438,"href":"/OpenBBTerminal/terminal/funds/load/","title":"Load","parent":"Funds","content":"usage: load [-f FUND [FUND ...]] [--name] [-s START] [-e END] [-h] Get historical data.\noptional arguments: -f FUND [FUND ...], --fund FUND [FUND ...] Fund string to search for (default: None) --name Flag to indicate name provided instead of symbol. (default: False) -s START, --start START The starting date (format YYYY-MM-DD) of the fund (default: 2020-12-27) -e END, --end END The ending date (format YYYY-MM-DD) of the fund (default: 2021-12-28) -h, --help show this help message (default: False) "},{"id":439,"href":"/OpenBBTerminal/terminal/funds/overview/","title":"Overview","parent":"Funds","content":"usage: overview [-l LIMIT] [-h] [--export {csv,json,xlsx}] Show overview of funds from selected country.\noptional arguments: -l LIMIT, --limit LIMIT Number of search results to show (default: 20) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Sample usage:\n2022 Feb 15, 03:50 (✨) /funds/ $ overview Fund overview for United States ┌──────────────────────────────────────────────────────────────────┬───────────────────────────────────────────────────┬────────┬────────┬────────┬──────────┬─────────────┐ │ name │ full_name │ symbol │ last │ change │ currency │ Assets (1B) │ ├──────────────────────────────────────────────────────────────────┼───────────────────────────────────────────────────┼────────┼────────┼────────┼──────────┼─────────────┤ │ Vanguard 500 Index Fund Admiral Shares │ Vanguard 500 Index Admiral │ VFIAX │ 406.79 │ -0.37% │ USD │ 429.58 │ ├──────────────────────────────────────────────────────────────────┼───────────────────────────────────────────────────┼────────┼────────┼────────┼──────────┼─────────────┤ │ Fidelity® 500 Index Fund │ Fidelity 500 Index Institutional Prem │ FXAIX │ 152.90 │ -0.38% │ USD │ 387.09 │ ├──────────────────────────────────────────────────────────────────┼───────────────────────────────────────────────────┼────────┼────────┼────────┼──────────┼─────────────┤ │ Vanguard Total Stock Market Index Fund Admiral Shares │ Vanguard Total Stock Market Index Admiral │ VTSAX │ 108.10 │ -0.40% │ USD │ 321.58 │ ├──────────────────────────────────────────────────────────────────┼───────────────────────────────────────────────────┼────────┼────────┼────────┼──────────┼─────────────┤ │ Vanguard Total Stock Market Index Fund Institutional Plus Shares │ Vanguard Total Stock Market Index Instl Plus │ VSMPX │ 202.76 │ -0.40% │ USD │ 289.35 │ ├──────────────────────────────────────────────────────────────────┼───────────────────────────────────────────────────┼────────┼────────┼────────┼──────────┼─────────────┤ │ Fidelity® Government Money Market Fund │ Fidelity Government Money Market Fund │ SPAXX │ 1.00 │ 0% │ USD │ 230.36 │ ├──────────────────────────────────────────────────────────────────┼───────────────────────────────────────────────────┼────────┼────────┼────────┼──────────┼─────────────┤ │ Vanguard Total Stock Market Index Fund Institutional Shares │ Vanguard Total Stock Market Index I │ VITSX │ 108.12 │ -0.40% │ USD │ 230.26 │ ├──────────────────────────────────────────────────────────────────┼───────────────────────────────────────────────────┼────────┼────────┼────────┼──────────┼─────────────┤ │ Fidelity® Government Cash Reserves │ Fidelityֲ® Government Cash Reserves │ FDRXX │ 1.00 │ 0% │ USD │ 226.13 │ ├──────────────────────────────────────────────────────────────────┼───────────────────────────────────────────────────┼────────┼────────┼────────┼──────────┼─────────────┤ │ Vanguard Total International Stock Index Fund Investor Shares │ Vanguard Total International Stock Index Inv │ VGTSX │ 19.75 │ -0.70% │ USD │ 188.28 │ ├──────────────────────────────────────────────────────────────────┼───────────────────────────────────────────────────┼────────┼────────┼────────┼──────────┼─────────────┤ │ Vanguard Institutional Index Fund Institutional Plus Shares │ Vanguard Institutional Index Instl Pl │ VIIIX │ 375.32 │ -0.38% │ USD │ 167.72 │ ├──────────────────────────────────────────────────────────────────┼───────────────────────────────────────────────────┼────────┼────────┼────────┼──────────┼─────────────┤ │ Vanguard Total Bond Market Ii Index Fund Investor Shares │ Vanguard Total Bond Market II Index Fund Investor │ VTBIX │ 10.59 │ -0.56% │ USD │ 134.58 │ └──────────────────────────────────────────────────────────────────┴───────────────────────────────────────────────────┴────────┴────────┴────────┴──────────┴─────────────┘ "},{"id":440,"href":"/OpenBBTerminal/terminal/funds/plot/","title":"Plot","parent":"Funds","content":"usage: plot [-h] [--export {png,jpg,pdf,svg}] Plot historical data.\noptional arguments: -h, --help show this help message (default: False) --export {png,jpg,pdf,svg} Export figure into png, jpg, pdf, svg (default: ) "},{"id":441,"href":"/OpenBBTerminal/terminal/funds/search/","title":"Search","parent":"Funds","content":"usage: search [-b {name,issuer,isin,symbol}] [-f FUND] [-s {country,name,symbol,issuer,isin,asset_class,currency,underlying}] [-l LIMIT] [-a] [-h] Search mutual funds in selected country based on selected field.\noptional arguments: -b {name,issuer,isin,symbol}, --by {name,issuer,isin,symbol} Field to search by (default: name) -f FUND, --fund FUND Fund string to search for (default: None) -s {country,name,symbol,issuer,isin,asset_class,currency,underlying}, --sortby {country,name,symbol,issuer,isin,asset_class,currency,underlying} Column to sort by (default: name) -l LIMIT, --limit LIMIT Number of search results to show (default: 10) -a, --ascend Sort in ascending order (default: False) -h, --help show this help message (default: False) "},{"id":442,"href":"/OpenBBTerminal/terminal/funds/sector/","title":"Sector","parent":"Funds","content":"usage: sector [-h] Show fund sector weighting.\noptional arguments: -h, --help show this help message (default: False) 2022 Feb 15, 03:48 (✨) /funds/ $ sector VFIAX Sector Weightings ┌────────────────────────┬────────────┐ │ Sector │ Weight (%) │ ├────────────────────────┼────────────┤ │ Technology │ 24.24 │ ├────────────────────────┼────────────┤ │ Financial Services │ 14.20 │ ├────────────────────────┼────────────┤ │ Healthcare │ 13.10 │ ├────────────────────────┼────────────┤ │ Consumer Cyclical │ 12.01 │ ├────────────────────────┼────────────┤ │ Communication Services │ 11.14 │ ├────────────────────────┼────────────┤ │ Industrials │ 8.86 │ ├────────────────────────┼────────────┤ │ Consumer Defensive │ 6.32 │ ├────────────────────────┼────────────┤ │ Energy │ 2.84 │ ├────────────────────────┼────────────┤ │ Real Estate │ 2.58 │ ├────────────────────────┼────────────┤ │ Utilities │ 2.43 │ ├────────────────────────┼────────────┤ │ Basic Materials │ 2.27 │ └────────────────────────┴────────────┘ "},{"id":443,"href":"/OpenBBTerminal/terminal/jupyter/","title":"Jupyter","parent":"OpenBB Terminal","content":"Create notebook templates (through papermill) which can be run on different tickers. This level of automation allows speeding up the development of your investment thesis and reduce human error.\nAvailable commands Dashboards Chains Correlations Shortdata Stocks Vsurf Reports "},{"id":444,"href":"/OpenBBTerminal/terminal/jupyter/dashboards/","title":"Dashboards","parent":"Jupyter","content":"Available commands: Chains Correlations Shortdata Stocks Vsurf "},{"id":445,"href":"/OpenBBTerminal/terminal/jupyter/dashboards/chains/","title":"Chains","parent":"Dashboards","content":"usage: chains [-j] [-h] Opens a voila dashboard showing option chain information for a given ticker and expiration\noptional arguments: -j, --jupyter opens in jupyterlab instead of voila (default: False) -d, --dark runs voila in dark mode (default: False) -n, --no-input does not ask the user if it can open a server (default: False) -h, --help show this help message "},{"id":446,"href":"/OpenBBTerminal/terminal/jupyter/dashboards/correlations/","title":"Correlations","parent":"Dashboards","content":"usage: correlations [-j] [-h] Opens a voila dashboard showing the correlations between stocks\noptional arguments: -j, --jupyter opens in jupyterlab instead of voila (default: False) -d, --dark runs voila in dark mode (default: False) -n, --no-input does not ask the user if it can open a server (default: False) -h, --help show this help message "},{"id":447,"href":"/OpenBBTerminal/terminal/jupyter/dashboards/shortdata/","title":"Shortdata","parent":"Dashboards","content":"usage: shortdata [-j] [-h] [--export {csv,json,xlsx}] Shows shortdata dashboard\noptional arguments: -j, --jupyter opens in jupyterlab instead of voila (default: False) -d, --dark runs voila in dark mode (default: False) -n, --no-input does not ask the user if it can open a server (default: False) -h, --help show this (help message "},{"id":448,"href":"/OpenBBTerminal/terminal/jupyter/dashboards/stocks/","title":"Stocks","parent":"Dashboards","content":"usage: stocks [-j] [-h] Opens a voila dashboard showing historical data for stocks\noptional arguments: -j, --jupyter opens in jupyterlab instead of voila (default: False) -d, --dark runs voila in dark mode (default: False) -n, --no-input does not ask the user if it can open a server (default: False) -h, --help show this help message "},{"id":449,"href":"/OpenBBTerminal/terminal/jupyter/dashboards/vsurf/","title":"Vsurf","parent":"Dashboards","content":"usage: vsurf [-j] [-h] Shows the volatility surface for options\noptional arguments: -j, --jupyter opens in jupyterlab instead of voila (default: False) -d, --dark runs voila in dark mode (default: False) -n, --no-input does not ask the user if it can open a server (default: False) -h, --help show this help message "},{"id":450,"href":"/OpenBBTerminal/terminal/jupyter/reports/","title":"Reports","parent":"Jupyter","content":""},{"id":451,"href":"/OpenBBTerminal/terminal/portfolio/","title":"Portfolio","parent":"OpenBB Terminal","content":"A Portfolio is a collection of financial assets such as stocks, bonds, commodities, cash, and cash equivalents, as well as closed-end funds and exchange-traded funds (ETFs). Stocks, bonds, and cash are commonly seen to be the foundation of a portfolio. This isn\u0026rsquo;t always the case, but it doesn\u0026rsquo;t have to be. Real estate, art, and private investments are all examples of assets that can be found in a portfolio.\nPortfolio Attribution is a complex way for evaluating a portfolio or fund manager\u0026rsquo;s performance. It aims to objectively assess components of an active fund manager\u0026rsquo;s investment selections and decisions—and to discover sources of excess returns, especially when contrasted to an index or other benchmark. It is also known as \u0026ldquo;return attribution\u0026rdquo; or \u0026ldquo;performance attribution.\u0026rdquo; This can be a useful technique for portfolio managers and investment firms to evaluate strategies. For investors, attribution analysis is a useful tool for evaluating fund or money manager performance.\nPortfolio optimization is usually referred to as Modern Portfolio Theory (MPT). This is started by the famous paper from Harry Markowitz that shows “that the performance of an individual stock is not as important as the performance and composition of an investor\u0026rsquo;s entire portfolio.” The biggest criticism of the MPT that if two portfolios have equal variance and equal return, the MPT is indifferent what portfolio you choose even though the downside risk of one portfolio could be much higher than that of the other, meaning significant losses can be sporadic (but large) for one portfolio while frequent (but of smaller size) for the other while having the same variance. This is where Post-Modern Portfolio Theory (PMPT) makes proper adjustments for. The main difference: “The differences in risk, as defined by the standard deviation of returns, between the PMPT and the MPT is the key factor in portfolio construction. The MPT assumes symmetrical risk whereas the PMPT assumes asymmetrical risk. Downside risk is measured by target semi-deviation, termed downside deviation, and captures what investors fear most: having negative returns.” This goes deeper into the concept of Utility and Risk Aversion where the perceived negative impact of -10% is larger than the perceived positive impact of 10%.\nAvailable commands Al Alloc Bench Brokers Ally Balances History Holdings Movers Quote Coinbase Account Deposits History Orders Robinhood History Holdings Cret Distr Dret Es Holdp Holdv Load Maxdd Metric Mret Om Perf Rbeta Rsharpe Rsort Rvol Show Summary Var Yret Introduction to Portfolio Optimization Add Blacklitterman Dividend Ef Equal File Herc Hrp Load Maxdecorr Maxdiv Maxret Maxsharpe Maxutil Minrisk Mktcap Nco Params Arg Clear File Save Set Plot Property Relriskparity Riskparity Rmv Rpf Select Show "},{"id":452,"href":"/OpenBBTerminal/terminal/portfolio/al/","title":"Al","parent":"Portfolio","content":"usage: al [-s] [-h] [--export {png,jpg,pdf,svg}] Display allocation\noptional arguments: -s, --sum Sum all assets value over time (default: False) -h, --help show this help message (default: False) --export {png,jpg,pdf,svg} Export figure into png, jpg, pdf, svg (default: ) "},{"id":453,"href":"/OpenBBTerminal/terminal/portfolio/alloc/","title":"Alloc","parent":"Portfolio","content":"usage: alloc [-a {assets,sectors,countries,regions}] [-l LIMIT] [-t] [-h] Show your allocation to each asset or sector compared to the benchmark.\noptional arguments: -a {assets,sectors,countries,regions}, --agg {assets,sectors,countries,regions} The type of allocation aggregation you wish to do (default: assets) -l LIMIT, --limit LIMIT The amount of assets or sectors you wish to see (default: 10) -t, --tables Whether to also include the assets/sectors tables of both the benchmark and the portfolio. (default: False) -h, --help show this help message (default: False) Example:\n022 May 12, 06:23 (🦋) /portfolio/ $ alloc assets Portfolio vs. Benchmark - Top 10 Assets Allocation ┏━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ Symbol ┃ Portfolio ┃ Benchmark ┃ Difference ┃ ┡━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ ASML │ 24.44% │ 0.00e+00 │ 24.44% │ ├────────┼───────────┼───────────┼────────────┤ │ AMZN │ 21.96% │ 3.33% │ 18.63% │ ├────────┼───────────┼───────────┼────────────┤ │ GOOGL │ 18.94% │ 1.66% │ 17.28% │ ├────────┼───────────┼───────────┼────────────┤ │ TSM │ 9.43% │ 0.00e+00 │ 9.43% │ ├────────┼───────────┼───────────┼────────────┤ │ DGX │ 6.23% │ 0.00e+00 │ 6.23% │ ├────────┼───────────┼───────────┼────────────┤ │ BABA │ 5.54% │ 0.00e+00 │ 5.54% │ ├────────┼───────────┼───────────┼────────────┤ │ APTV │ 3.78% │ 0.00e+00 │ 3.78% │ ├────────┼───────────┼───────────┼────────────┤ │ AAPL │ 3.36% │ 4.90% │ -1.54% │ ├────────┼───────────┼───────────┼────────────┤ │ NKE │ 3.26% │ 0.00e+00 │ 3.26% │ ├────────┼───────────┼───────────┼────────────┤ │ YUM │ 3.06% │ 0.00e+00 │ 3.06% │ └────────┴───────────┴───────────┴────────────┘ 2022 May 12, 06:23 (🦋) /portfolio/ $ alloc sectors Portfolio vs. Benchmark - Top 4 Sectors Allocation ┏━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ Sectors ┃ Portfolio ┃ Benchmark ┃ Difference ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ Technology │ 59.19% │ 24.95% │ 34.24% │ ├────────────────────────┼───────────┼───────────┼────────────┤ │ Communication Services │ 18.94% │ 8.55% │ 10.39% │ ├────────────────────────┼───────────┼───────────┼────────────┤ │ Consumer Cyclical │ 15.64% │ 11.55% │ 4.09% │ ├────────────────────────┼───────────┼───────────┼────────────┤ │ Healthcare │ 6.23% │ 13.41% │ -7.18% │ └────────────────────────┴───────────┴───────────┴────────────┘ 2022 May 12, 06:23 (🦋) /portfolio/ $ alloc countries Portfolio vs. Benchmark - Top 5 Countries Allocation ┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ Countries ┃ Portfolio ┃ Benchmark ┃ Difference ┃ ┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ United States │ 57.33% │ 99.17% │ -41.84% │ ├───────────────┼───────────┼───────────┼────────────┤ │ Netherlands │ 24.44% │ 0.00e+00 │ 24.44% │ ├───────────────┼───────────┼───────────┼────────────┤ │ Taiwan │ 9.43% │ 1.00e-04 │ 9.42% │ ├───────────────┼───────────┼───────────┼────────────┤ │ China │ 5.54% │ 0.00e+00 │ 5.54% │ ├───────────────┼───────────┼───────────┼────────────┤ │ Germany │ 3.26% │ 0.00e+00 │ 3.26% │ └───────────────┴───────────┴───────────┴────────────┘ 2022 May 12, 06:23 (🦋) /portfolio/ $ alloc regions Portfolio vs. Benchmark - Top 3 Regions Allocation ┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ Regions ┃ Portfolio ┃ Benchmark ┃ Difference ┃ ┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ North America │ 57.33% │ 99.25% │ -41.92% │ ├───────────────┼───────────┼───────────┼────────────┤ │ Europe │ 27.70% │ 0.64% │ 27.06% │ ├───────────────┼───────────┼───────────┼────────────┤ │ Asia │ 14.96% │ 7.00e-04 │ 14.89% │ └───────────────┴───────────┴───────────┴────────────┘ "},{"id":454,"href":"/OpenBBTerminal/terminal/portfolio/bench/","title":"Bench","parent":"Portfolio","content":"usage: bench [-b BENCHMARK [BENCHMARK ...]] [-h] Load in a benchmark from a selected list or set your own based on the ticker.\noptional arguments: -b BENCHMARK [BENCHMARK ...], --benchmark BENCHMARK [BENCHMARK ...] Set the benchmark for the portfolio. By default, this is SPDR S\u0026amp;P 500 ETF Trust (SPY). (default: SPY) -h, --help show this help message (default: False) Example:\n2022 May 10, 09:53 (🦋) /portfolio/ $ bench Vanguard FTSE Developed Markets ETF (VEA) Benchmark: Vanguard Developed Markets Index Fund (VEA) 2022 May 10, 09:53 (🦋) /portfolio/ $"},{"id":455,"href":"/OpenBBTerminal/terminal/portfolio/brokers/","title":"Brokers","parent":"Portfolio","content":"A broker is a person or company who works as a go-between for an investor and a securities exchange. Individual traders and investors require the services of exchange members since securities exchanges only accept orders from persons or organizations that are members of the exchange.\nBrokers provide that service and are paid in a variety of methods, including commissions, fees, and payments from the exchange itself. Investopedia examines all of the top brokers on a regular basis and keeps a list of the finest online brokers and trading platforms to assist investors in determining which broker is right for them.\nAvailable commands: Ally Balances History Holdings Movers Quote Coinbase Account Deposits History Orders Robinhood History Holdings "},{"id":456,"href":"/OpenBBTerminal/terminal/portfolio/brokers/ally/","title":"Ally","parent":"Brokers","content":"Ally Invest Note that the following environment variables should be set.\nALLY_ACCOUNT_NBR ALLY_CONSUMER_SECRET ALLY_OAUTH_TOKEN ALLY_OAUTH_SECRET ALLY_CONSUMER_KEY "},{"id":457,"href":"/OpenBBTerminal/terminal/portfolio/brokers/ally/balances/","title":"Balances","parent":"Ally","content":"usage: balances [--export {csv,json,xlsx}] [-h] Account balance details\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":458,"href":"/OpenBBTerminal/terminal/portfolio/brokers/ally/history/","title":"History","parent":"Ally","content":"usage: history [-n NUM] [--export {csv,json,xlsx}] [-h] Account transaction history\noptional arguments: -n NUM, --num NUM Number of recent transactions to show (default: 15) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Sample Output:\n╒══════════╤═════════════════════╤══════════╤══════════════════════════╤════════════╕ │ amount │ date │ symbol │ transactiontype │ quantity │ ╞══════════╪═════════════════════╪══════════╪══════════════════════════╪════════════╡ │ -6.91 │ 2021-08-16 00:00:00 │ │ Debit Interest Collected │ 0.00 │ ├──────────┼─────────────────────┼──────────┼──────────────────────────┼────────────┤ │ 0.96 │ 2021-09-15 00:00:00 │ O │ Cash Dividend │ 0.00 │ ├──────────┼─────────────────────┼──────────┼──────────────────────────┼────────────┤ │ 0.00 │ 2021-09-15 00:00:00 │ O │ Mutual Fund Reinvestment │ 0.01 │ ├──────────┼─────────────────────┼──────────┼──────────────────────────┼────────────┤ │ -6.41 │ 2021-09-16 00:00:00 │ │ Debit Interest Collected │ 0.00 │ ╘══════════╧═════════════════════╧══════════╧══════════════════════════╧════════════╛ "},{"id":459,"href":"/OpenBBTerminal/terminal/portfolio/brokers/ally/holdings/","title":"Holdings","parent":"Ally","content":"usage: holdings [--export {csv,json,xlsx}] [-h] Display info about your trading accounts on Ally\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example output:\n╒══════╤════════════╤═════════════╤═══════════════╤════════╕ │ │ Quantity │ CostBasis │ MarketValue │ PnL │ ╞══════╪════════════╪═════════════╪═══════════════╪════════╡ │ AAPL │ 6.02 │ 576.90 │ 864.53 │ 287.63 │ ├──────┼────────────┼─────────────┼───────────────┼────────┤ │ MSFT │ 2.01 │ 358.09 │ 595.22 │ 237.13 │ ╘══════╧════════════╧═════════════╧═══════════════╧════════╛ "},{"id":460,"href":"/OpenBBTerminal/terminal/portfolio/brokers/ally/movers/","title":"Movers","parent":"Ally","content":"usage: ally_movers [-l {toplosers,toppctlosers,topvolume,topactive,topgainers,toppctgainers}] [-e {A,N,Q,U,V}] [-n NUM] [--export {csv,json,xlsx}] [-h] Get stock movers\noptional arguments: -l {toplosers,toppctlosers,topvolume,topactive,topgainers,toppctgainers}, --list {toplosers,toppctlosers,topvolume,topactive,topgainers,toppctgainers} List to get movers of (default: topactive) -e {A,N,Q,U,V}, --exchange {A,N,Q,U,V} Exchange to look at. Can be A:American Stock Exchange. N:New York Stock Exchange. Q:NASDAQ U:NASDAQ Bulletin Board V:NASDAQ OTC Other (default: N) -n NUM, --num NUM Number to show (default: 15) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Sample Output:\n(✨) (bro)\u0026gt;(ally)\u0026gt; movers -n 5 -l toplosers ╒══════╤════════╤════════════╤═════════╤═══════════════════════╤════════╤═════════╤════════╤═════════╕ │ │ chg │ chg_sign │ last │ name │ pchg │ pcls │ rank │ vl │ ╞══════╪════════╪════════════╪═════════╪═══════════════════════╪════════╪═════════╪════════╪═════════╡ │ CABO │ -19.90 │ u │ 1915.98 │ CABLE ONE INC │ 1.03 │ 1935.88 │ 1 │ 12311 │ ├──────┼────────┼────────────┼─────────┼───────────────────────┼────────┼─────────┼────────┼─────────┤ │ BILL │ -12.28 │ u │ 271.47 │ BILL.COM HOLDINGS INC │ 4.33 │ 283.75 │ 2 │ 2340470 │ ├──────┼────────┼────────────┼─────────┼───────────────────────┼────────┼─────────┼────────┼─────────┤ │ BLK │ -10.06 │ u │ 847.21 │ BLACKROCK INC │ 1.17 │ 857.27 │ 3 │ 410960 │ ├──────┼────────┼────────────┼─────────┼───────────────────────┼────────┼─────────┼────────┼─────────┤ │ CVNA │ -6.90 │ u │ 319.60 │ CARVANA CO │ 2.11 │ 326.50 │ 4 │ 551151 │ ├──────┼────────┼────────────┼─────────┼───────────────────────┼────────┼─────────┼────────┼─────────┤ │ FICO │ -5.50 │ u │ 421.06 │ FAIR ISAAC CORP │ 1.29 │ 426.56 │ 5 │ 118449 │ ╘══════╧════════╧════════════╧═════════╧═══════════════════════╧════════╧═════════╧════════╧═════════╛ "},{"id":461,"href":"/OpenBBTerminal/terminal/portfolio/brokers/ally/quote/","title":"Quote","parent":"Ally","content":"usage: quote [-t TICKER] [-h] Get stock quote\noptional arguments: -t TICKER, --ticker TICKER Ticker to get quote for. Can be in form of 'tick1,tick2...' (default: None) -h, --help show this help message (default: False) Sample Usage:\n(✨) (bro)\u0026gt;(ally)\u0026gt; quote -t amc,gme,msft,aapl ╒══════╤════════╤════════╤═══════╤════════════════╤════════╤════════╤═════════════╕ │ │ ask │ bid │ chg │ dollar_value │ last │ opn │ vl │ ╞══════╪════════╪════════╪═══════╪════════════════╪════════╪════════╪═════════════╡ │ MSFT │ 296.48 │ 296.46 │ 2.18 │ 4.79162e+09 │ 296.48 │ 295.69 │ 1.62015e+07 │ ├──────┼────────┼────────┼───────┼────────────────┼────────┼────────┼─────────────┤ │ AMC │ 39.37 │ 39.36 │ -0.93 │ 2.30169e+09 │ 39.36 │ 40.97 │ 5.89093e+07 │ ├──────┼────────┼────────┼───────┼────────────────┼────────┼────────┼─────────────┤ │ AAPL │ 144.12 │ 144.11 │ 1.18 │ 8.48636e+09 │ 144.12 │ 143.93 │ 6.04101e+07 │ ├──────┼────────┼────────┼───────┼────────────────┼────────┼────────┼─────────────┤ │ GME │ 192.21 │ 191.83 │ -0.13 │ 4.07203e+08 │ 192.07 │ 199.36 │ 2.13093e+06 │ ╘══════╧════════╧════════╧═══════╧════════════════╧════════╧════════╧═════════════╛ "},{"id":462,"href":"/OpenBBTerminal/terminal/portfolio/brokers/coinbase/","title":"Coinbase","parent":"Brokers","content":"Coinbase Pro Note the following environment variable should be set:\nOPENBB_API_COINBASE_KEY OPENBB_API_COINBASE_SECRET OPENBB_API_COINBASE_PASS_PHRASE "},{"id":463,"href":"/OpenBBTerminal/terminal/portfolio/brokers/coinbase/account/","title":"Account","parent":"Coinbase","content":"usage: account [--all] [-c CURRENCY] [--export {csv,json,xlsx}] [-h] Display info about your trading accounts on Coinbase\noptional arguments: --all Flag to display all your account (default: False) -c CURRENCY, --currency CURRENCY Currency to display value in. (default: USD) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Sample Usage:\n(✨) (bro)\u0026gt;(cb)\u0026gt; account ╒════════════╤═════════════╤═════════════╤════════════╤═════════════════════╕ │ currency │ balance │ available │ hold │ BalanceValue(USD) │ ╞════════════╪═════════════╪═════════════╪════════════╪═════════════════════╡ │ ALGO │ 14.62881400 │ 14.62881400 │ 0.00000000 │ 24.06 │ ├────────────┼─────────────┼─────────────┼────────────┼─────────────────────┤ │ ATOM │ 0.00085600 │ 0.00085600 │ 0.00000000 │ 0.03 │ ├────────────┼─────────────┼─────────────┼────────────┼─────────────────────┤ │ BTC │ 0.00043358 │ 0.00043358 │ 0.00000000 │ 18.16 │ ╘════════════╧═════════════╧═════════════╧════════════╧═════════════════════╛ "},{"id":464,"href":"/OpenBBTerminal/terminal/portfolio/brokers/coinbase/deposits/","title":"Deposits","parent":"Coinbase","content":"usage: deposits [-t {internal_deposit,deposit}] [-l LIMIT] [-s {created_at,amount}] [--descend] [--export {csv,json,xlsx}] [-h] Display a list of deposits for your account.\noptional arguments: -t {internal_deposit,deposit}, --type {internal_deposit,deposit} Deposit type. Either: internal_deposits (transfer between portfolios) or deposit (default: deposit) -l LIMIT, --limit LIMIT Limit parameter. (default: 20) -s {created_at,amount}, --sort {created_at,amount} Sort by given column. Default: created_at (default: created_at) --descend Flag to sort in descending order (lowest first) (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":465,"href":"/OpenBBTerminal/terminal/portfolio/brokers/coinbase/history/","title":"History","parent":"Coinbase","content":"usage: history [-a ACCOUNT] [-l LIMIT] [--export {csv,json,xlsx}] [-h] Display account history\noptional arguments: -a ACCOUNT, --acc ACCOUNT Symbol of coin of account or id (default: BTC) -l LIMIT, --limit LIMIT Limit parameter. (default: 20) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":466,"href":"/OpenBBTerminal/terminal/portfolio/brokers/coinbase/orders/","title":"Orders","parent":"Coinbase","content":"usage: orders [-l LIMIT] [-s {product_id,side,price,size,type,created_at,status}] [--descend] [--export {csv,json,xlsx}] [-h] List your current open orders\noptional arguments: -l LIMIT, --limit LIMIT Limit parameter. (default: 20) -s {product_id,side,price,size,type,created_at,status}, --sort {product_id,side,price,size,type,created_at,status} Sort by given column. Default: created_at (default: created_at) --descend Flag to sort in descending order (lowest first) (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":467,"href":"/OpenBBTerminal/terminal/portfolio/brokers/robinhood/","title":"Robinhood","parent":"Brokers","content":"Robinhood Note the following environment variables must be set:\nOPENBB_RH_USERNAME OPENBB_RH_PASSWORD The login function must be run first. This may require 2FA depending on your account.\n"},{"id":468,"href":"/OpenBBTerminal/terminal/portfolio/brokers/robinhood/history/","title":"History","parent":"Robinhood","content":"usage: history [-s {day,week,month,3month,year,5year,all}] [-i {5minute,10minute,hour,day,week}] [--export {csv,json,xlsx}] [-h] Historical Portfolio Info\noptional arguments: -s {day,week,month,3month,year,5year,all}, --span {day,week,month,3month,year,5year,all} Span of historical data (default: 3month) -i {5minute,10minute,hour,day,week}, --interval {5minute,10minute,hour,day,week} Interval to look at portfolio (default: day) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Sample Output:\n"},{"id":469,"href":"/OpenBBTerminal/terminal/portfolio/brokers/robinhood/holdings/","title":"Holdings","parent":"Robinhood","content":"usage: holdings [--export {csv,json,xlsx}] [-h] Display info about your trading accounts on Robinhood\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Sample Output:\n╒════╤══════════╤═══════════════╤════════════╤═════════════╕ │ │ Symbol │ MarketValue │ Quantity │ CostBasis │ ╞════╪══════════╪═══════════════╪════════════╪═════════════╡ │ 0 │ AMC │ 78.88 │ 2 │ 97.22 │ ╘════╧══════════╧═══════════════╧════════════╧═════════════╛ "},{"id":470,"href":"/OpenBBTerminal/terminal/portfolio/cret/","title":"Cret","parent":"Portfolio","content":"usage: cret [-p {3m,6m,1y,3y,5y,10y}] [-h] [--export EXPORT] [--raw] [-l LIMIT] Graph of cumulative returns against benchmark\noptional arguments: -p {3m,6m,1y,3y,5y,10y}, --period {3m,6m,1y,3y,5y,10y} Period to select start of cumulative returns (default: all) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":471,"href":"/OpenBBTerminal/terminal/portfolio/distr/","title":"Distr","parent":"Portfolio","content":"usage: distr [-p {mtd,qtd,ytd,3m,6m,1y,3y,5y,10y,all}] [-h] [--export EXPORT] [--raw] Compute distribution of daily returns\noptional arguments: -p {mtd,qtd,ytd,3m,6m,1y,3y,5y,10y,all}, --period {mtd,qtd,ytd,3m,6m,1y,3y,5y,10y,all} The file to be loaded (default: all) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) "},{"id":472,"href":"/OpenBBTerminal/terminal/portfolio/dret/","title":"Dret","parent":"Portfolio","content":"usage: dret [-p {3y,5y,10y,all}] [-h] [--export EXPORT] [--raw] [-l LIMIT] Daily returns\noptional arguments: -p {3y,5y,10y,all}, --period {3y,5y,10y,all} Period to select start end of the year returns (default: all) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":473,"href":"/OpenBBTerminal/terminal/portfolio/es/","title":"Es","parent":"Portfolio","content":"usage: es [-m] [-d {laplace,student_t,logistic,normal}] [-p PERCENTILE] [-h] Provides Expected Shortfall (short: ES) of the selected portfolio.\noptional arguments: -m, --mean If one should use the mean of the portfolios return (default: False) -d {laplace,student_t,logistic,normal}, --dist {laplace,student_t,logistic,normal}, --distributions {laplace,student_t,logistic,normal} Distribution used for the calculations (default: normal) -p PERCENTILE, --percentile PERCENTILE Percentile used for ES calculations, for example input 99.9 equals a 99.9 Percent Expected Shortfall (default: 99.9) -h, --help show this help message (default: False) Example:\n2022 Feb 25, 03:09 (✨) /portfolio/ $ es Portfolio Expected Shortfall ┏━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ ┃ ES: ┃ Historical ES: ┃ ┡━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ 90.0% │ -0.0204 │ -0.0202 │ ├───────┼─────────┼────────────────┤ │ 95.0% │ -0.0240 │ -0.0242 │ ├───────┼─────────┼────────────────┤ │ 99.0% │ -0.0310 │ -0.0270 │ ├───────┼─────────┼────────────────┤ │ 99.9% │ -0.0391 │ -0.0277 │ └───────┴─────────┴────────────────┘ "},{"id":474,"href":"/OpenBBTerminal/terminal/portfolio/holdp/","title":"Holdp","parent":"Portfolio","content":"usage: holdp [-s] [-h] [--export EXPORT] [--raw] [-l LIMIT] Display holdings of assets (in percentage)\noptional arguments: -s, --sum Sum all assets percentage over time (default: False) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":475,"href":"/OpenBBTerminal/terminal/portfolio/holdv/","title":"Holdv","parent":"Portfolio","content":"usage: holdv [-s] [-h] [--export EXPORT] [--raw] [-l LIMIT] Display holdings of assets (absolute value)\noptional arguments: -s, --sum Sum all assets value over time (default: False) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":476,"href":"/OpenBBTerminal/terminal/portfolio/load/","title":"Load","parent":"Portfolio","content":"usage: load [-f {}] [-n NAME] [-r RISK_FREE_RATE] [-h] Load your portfolio\noptional arguments: -f {}, --file {} The file to be loaded (default: None) -n NAME, --name NAME The name that you wish to give to your portfolio (default: None) -r RISK_FREE_RATE, --risk_free_rate RISK_FREE_RATE Set the risk free rate. (default: 0) -h, --help show this help message (default: False) Example:\n2022 May 13, 05:00 (🦋) /portfolio/ $ load Public_Equity_Orderbook.xlsx Portfolio: Public_Equity_Orderbook.xlsx Risk Free Rate: 0.00% 2022 May 13, 05:00 (🦋) /portfolio/ $ show ┏━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━━┓ ┃ Date ┃ Name ┃ Type ┃ Sector ┃ Industry ┃ Country ┃ Region ┃ Price ┃ Quantity ┃ Fees ┃ Premium ┃ Investment ┃ Side ┃ Currency ┃ ┡━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━━┩ │ 2010-05-03 │ CASH │ CASH │ CASH │ CASH │ CASH │ Unknown │ 60850.00 │ 1 │ 0 │ 0 │ 60850.00 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2010-05-03 │ GOOGL │ STOCK │ Communication Services │ Internet Content \u0026amp; Information │ United States │ North America │ 265.30 │ 2 │ 5 │ 6 │ 530.60 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2010-07-06 │ AMZN │ STOCK │ Technology │ Internet Retail │ United States │ North America │ 110.06 │ 5 │ 3 │ 3 │ 550.30 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2011-08-06 │ AAPL │ STOCK │ Technology │ Consumer Electronics │ United States │ North America │ 12.61 │ 3 │ 1 │ 0 │ 37.83 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2011-12-12 │ APTV │ STOCK │ Consumer Cyclical │ Auto Parts │ United States │ North America │ 18.02 │ 5 │ 0 │ 2 │ 90.10 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2012-02-03 │ ASML │ STOCK │ Technology │ Semiconductor Equipment \u0026amp; Materials │ Netherlands │ Europe │ 59.17 │ 7 │ 0 │ 4 │ 414.19 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2012-05-04 │ NKE │ STOCK │ Consumer Cyclical │ Footwear \u0026amp; Accessories │ Germany │ Europe │ 27.95 │ 3 │ 0 │ 0 │ 83.85 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2012-08-04 │ TSM │ STOCK │ Technology │ Semiconductors │ Taiwan │ Asia │ 14.24 │ 50 │ 0 │ 0 │ 712.00 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2012-10-12 │ DGX │ STOCK │ Healthcare │ Diagnostics \u0026amp; Research │ United States │ North America │ 63.39 │ 6 │ 10 │ 0 │ 380.34 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2013-02-03 │ YUM │ STOCK │ Consumer Cyclical │ Restaurants │ United States │ North America │ 45.98 │ 4 │ 10 │ 0 │ 183.92 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2013-03-04 │ GOOGL │ STOCK │ Communication Services │ Internet Content \u0026amp; Information │ United States │ North America │ 410.75 │ 1 │ 100 │ 2 │ 410.75 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2013-08-08 │ AMZN │ STOCK │ Technology │ Internet Retail │ United States │ North America │ 295.74 │ 1 │ 2 │ 3 │ 295.74 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2013-10-09 │ AAPL │ STOCK │ Technology │ Consumer Electronics │ United States │ North America │ 17.38 │ 5 │ 5 │ 5 │ 86.90 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2014-02-03 │ APTV │ STOCK │ Consumer Cyclical │ Auto Parts │ United States │ North America │ 49.53 │ 5 │ 4 │ 0 │ 247.65 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2014-02-05 │ ASML │ STOCK │ Technology │ Semiconductor Equipment \u0026amp; Materials │ Netherlands │ Europe │ 85.16 │ 3 │ 3 │ 0 │ 255.48 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2014-12-08 │ NKE │ STOCK │ Consumer Cyclical │ Footwear \u0026amp; Accessories │ Germany │ Europe │ 48.86 │ 10 │ 2 │ 0 │ 488.60 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2015-02-02 │ BABA │ STOCK │ Consumer Cyclical │ Internet Retail │ China │ Asia │ 90.13 │ 30 │ 1 │ 0 │ 2703.90 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2015-03-08 │ TSM │ STOCK │ Technology │ Semiconductors │ Taiwan │ Asia │ 23.45 │ 20 │ 6 │ 0 │ 469.00 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2015-12-05 │ DGX │ STOCK │ Healthcare │ Diagnostics \u0026amp; Research │ United States │ North America │ 68.83 │ 21 │ 2 │ 3 │ 1445.43 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2016-02-06 │ YUM │ STOCK │ Consumer Cyclical │ Restaurants │ United States │ North America │ 48.49 │ 2 │ 4 │ 1 │ 96.98 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2016-09-07 │ GOOGL │ STOCK │ Communication Services │ Internet Content \u0026amp; Information │ United States │ North America │ 807.99 │ 2 │ 0 │ 2 │ 1615.98 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2017-01-10 │ AMZN │ STOCK │ Technology │ Internet Retail │ United States │ North America │ 795.90 │ 2 │ 0 │ 0 │ 1591.80 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2017-05-10 │ AAPL │ STOCK │ Technology │ Consumer Electronics │ United States │ North America │ 38.32 │ 10 │ 0 │ 0 │ 383.20 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2017-12-08 │ APTV │ STOCK │ Consumer Cyclical │ Auto Parts │ United States │ North America │ 85.22 │ 10 │ 4 │ 0 │ 852.20 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2018-07-05 │ ASML │ STOCK │ Technology │ Semiconductor Equipment \u0026amp; Materials │ Netherlands │ Europe │ 195.99 │ 5 │ 2 │ 5 │ 979.95 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2018-09-03 │ NKE │ STOCK │ Consumer Cyclical │ Footwear \u0026amp; Accessories │ Germany │ Europe │ 79.60 │ 3 │ 2 │ 4 │ 238.80 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2019-05-04 │ BABA │ STOCK │ Consumer Cyclical │ Internet Retail │ China │ Asia │ 188.24 │ 5 │ 1 │ 2 │ 941.20 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2019-09-09 │ TSM │ STOCK │ Technology │ Semiconductors │ Taiwan │ Asia │ 43.85 │ 3 │ 6 │ 7 │ 131.55 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2019-12-10 │ DGX │ STOCK │ Healthcare │ Diagnostics \u0026amp; Research │ United States │ North America │ 104.94 │ 8 │ 1 │ 4 │ 839.52 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2020-02-03 │ YUM │ STOCK │ Consumer Cyclical │ Restaurants │ United States │ North America │ 106.41 │ 10 │ 10 │ 2 │ 1064.10 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2020-03-08 │ GOOGL │ STOCK │ Communication Services │ Internet Content \u0026amp; Information │ United States │ North America │ 1215.79 │ 3 │ 10 │ 2 │ 3647.37 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2020-06-09 │ AMZN │ STOCK │ Technology │ Internet Retail │ United States │ North America │ 2600.86 │ 2 │ 200 │ 20 │ 5201.72 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2020-12-12 │ AAPL │ STOCK │ Technology │ Consumer Electronics │ United States │ North America │ 121.78 │ 4 │ 10 │ 0 │ 487.12 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2021-01-07 │ APTV │ STOCK │ Consumer Cyclical │ Auto Parts │ United States │ North America │ 144.80 │ 20 │ 10 │ 6 │ 2896.00 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2021-05-06 │ ASML │ STOCK │ Technology │ Semiconductor Equipment \u0026amp; Materials │ Netherlands │ Europe │ 644.34 │ 30 │ 10 │ 3 │ 19330.20 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2021-12-28 │ NKE │ STOCK │ Consumer Cyclical │ Footwear \u0026amp; Accessories │ Germany │ Europe │ 166.42 │ 13 │ 20 │ 3 │ 2163.46 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2022-02-02 │ BABA │ STOCK │ Consumer Cyclical │ Internet Retail │ China │ Asia │ 122.88 │ 30 │ 0 │ 1 │ 3686.40 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2022-03-04 │ TSM │ STOCK │ Technology │ Semiconductors │ Taiwan │ Asia │ 105.06 │ 30 │ 0 │ 2 │ 3151.80 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2022-04-12 │ DGX │ STOCK │ Healthcare │ Diagnostics \u0026amp; Research │ United States │ North America │ 137.27 │ 10 │ 30 │ 1 │ 1372.70 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2022-05-02 │ YUM │ STOCK │ Consumer Cyclical │ Restaurants │ United States │ North America │ 115.76 │ 11 │ 40 │ 0 │ 1273.36 │ 1 │ USD │ └────────────┴───────┴───────┴────────────────────────┴─────────────────────────────────────┴───────────────┴───────────────┴──────────┴──────────┴──────┴─────────┴────────────┴──────┴──────────┘ "},{"id":477,"href":"/OpenBBTerminal/terminal/portfolio/maxdd/","title":"Maxdd","parent":"Portfolio","content":"usage: maxdd [-h] [--export EXPORT] Show portfolio maximum drawdown\noptional arguments: -h, --help show this help message (default: False) --export EXPORT Export figure into png, jpg, pdf, svg (default: ) "},{"id":478,"href":"/OpenBBTerminal/terminal/portfolio/metric/","title":"Metric","parent":"Portfolio","content":"usage: metric [-m {volatility,sharpe,sortino,maxdrawdown,rsquare,skew,kurtosis}] [-r RISK_FREE_RATE] [-h] [--export EXPORT] Display metric of choice for different periods\noptional arguments: -m {volatility,sharpe,sortino,maxdrawdown,rsquare,skew,kurtosis}, --metric {volatility,sharpe,sortino,maxdrawdown,rsquare,skew,kurtosis} Period to apply rolling window (default: False) -r RISK_FREE_RATE, --rfr RISK_FREE_RATE Set risk free rate for calculations. (default: 0.0) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) E.g. metric sharpe\nSharpe ratio for Portfolio and Benchmark ┏━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ ┃ Portfolio ┃ Benchmark ┃ ┡━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━┩ │ mtd │ -0.057 │ -0.027 │ ├─────┼───────────┼───────────┤ │ qtd │ -0.220 │ -0.172 │ ├─────┼───────────┼───────────┤ │ ytd │ -0.123 │ -0.098 │ ├─────┼───────────┼───────────┤ │ 3m │ -0.103 │ -0.052 │ ├─────┼───────────┼───────────┤ │ 6m │ -0.127 │ -0.070 │ ├─────┼───────────┼───────────┤ │ 1y │ -0.038 │ 0.007 │ ├─────┼───────────┼───────────┤ │ 3y │ 0.018 │ 0.044 │ ├─────┼───────────┼───────────┤ │ 5y │ 0.025 │ 0.046 │ ├─────┼───────────┼───────────┤ │ 10y │ 0.026 │ 0.056 │ ├─────┼───────────┼───────────┤ │ all │ 0.024 │ 0.050 │ └─────┴───────────┴───────────┘ "},{"id":479,"href":"/OpenBBTerminal/terminal/portfolio/mret/","title":"Mret","parent":"Portfolio","content":"usage: mret [-p {3y,5y,10y,all}] [-s] [-h] [--export EXPORT] [--raw] Monthly returns\noptional arguments: -p {3y,5y,10y,all}, --period {3y,5y,10y,all} Period to select start end of the year returns (default: all) -s, --show Show monthly returns on heatmap (default: False) -h, --help show this help message (default: False) --export EXPORT Export figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) "},{"id":480,"href":"/OpenBBTerminal/terminal/portfolio/om/","title":"Om","parent":"Portfolio","content":"usage: om [-s START] [-e END] [-h] Provides omega ratio of the selected portfolio.\nThe omega ratio is the probability weighted ratio of gains versus losses for a threshold return. This is in practice done by getting the sum of the returns above the threshold return and of the returns below it and then calculating the ratio between these sums. For more, read: https://en.wikipedia.org/wiki/Omega_ratio\noptional arguments: -s START, --start START Start of the omega ratio threshold (default: 0) -e END, --end END End of the omega ratio threshold (default: 1.5) -h, --help show this help message (default: False) "},{"id":481,"href":"/OpenBBTerminal/terminal/portfolio/perf/","title":"Perf","parent":"Portfolio","content":"usage: performance [-s] [-t] [-h] Shows performance of each trade and total performance of the portfolio versus the benchmark.\noptional arguments: -s, --full_shares Whether to only make a trade with the benchmark when a full share can be bought (no partial shares). (default: False) -t, --show_trades Whether to show performance on all trades in comparison to the benchmark. (default: False) -h, --help show this help message (default: False) Example:\n2022 May 12, 06:22 (🦋) /portfolio/ $ perf -t Portfolio vs. Benchmark - Totals ┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ Portfolio ┃ Benchmark ┃ Difference ┃ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ Total Investment │ 61331.99 │ 61331.99 │ 0.00e+00 │ ├──────────────────┼───────────┼───────────┼────────────┤ │ Total Value │ 95969.52 │ 81940.19 │ 14029.33 │ ├──────────────────┼───────────┼───────────┼────────────┤ │ Total % Return │ 0.56 │ 0.34 │ 0.23 │ ├──────────────────┼───────────┼───────────┼────────────┤ │ Total Abs Return │ 34637.53 │ 20608.20 │ 14029.33 │ └──────────────────┴───────────┴───────────┴────────────┘ Portfolio vs. Benchmark - Individual Trades ┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ Date ┃ Name ┃ Portfolio Value ┃ % Portfolio Return ┃ Benchmark Value ┃ % Benchmark Return ┃ Alpha ┃ ┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩ │ 2010-05-03 00:00:00 │ CASH │ 0.00e+00 │ 0.00e+00 │ 0.00e+00 │ 0.00e+00 │ 0.00e+00 │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2010-05-03 00:00:00 │ GOOGL │ 4544.10 │ 756.41% │ 2102.34 │ 296.22% │ 460.19% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2010-07-06 00:00:00 │ AMZN │ 10537.20 │ 1814.81% │ 2563.26 │ 365.79% │ 1449.02% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2011-08-06 00:00:00 │ AAPL │ 439.50 │ 1061.78% │ 157.50 │ 316.33% │ 745.44% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2011-12-12 00:00:00 │ APTV │ 453.70 │ 403.55% │ 336.57 │ 273.56% │ 129.99% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2012-02-03 00:00:00 │ ASML │ 3649.10 │ 781.02% │ 1407.84 │ 239.90% │ 541.12% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2012-05-04 00:00:00 │ NKE │ 323.76 │ 286.12% │ 280.56 │ 234.60% │ 51.52% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2012-08-04 00:00:00 │ TSM │ 4391.50 │ 516.78% │ 2341.66 │ 228.88% │ 287.90% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2012-10-12 00:00:00 │ DGX │ 797.16 │ 109.59% │ 1212.76 │ 218.86% │ -109.27% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2013-02-03 00:00:00 │ YUM │ 435.60 │ 136.84% │ 550.77 │ 199.46% │ -62.62% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2013-03-04 00:00:00 │ GOOGL │ 2272.05 │ 453.15% │ 1205.05 │ 193.38% │ 259.77% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2013-08-08 00:00:00 │ AMZN │ 2107.44 │ 612.60% │ 769.49 │ 160.19% │ 452.41% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2013-10-09 00:00:00 │ AAPL │ 732.50 │ 742.92% │ 229.90 │ 164.56% │ 578.36% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2014-02-03 00:00:00 │ APTV │ 453.70 │ 83.20% │ 618.99 │ 149.94% │ -66.74% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2014-02-05 00:00:00 │ ASML │ 1563.90 │ 512.14% │ 634.71 │ 148.44% │ 363.70% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2014-12-08 00:00:00 │ NKE │ 1079.20 │ 120.88% │ 1029.58 │ 110.72% │ 10.16% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2015-02-02 00:00:00 │ BABA │ 2451.90 │ -9.32% │ 5772.66 │ 113.49% │ -122.81% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2015-03-08 00:00:00 │ TSM │ 1756.60 │ 274.54% │ 967.87 │ 106.37% │ 168.17% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2015-12-05 00:00:00 │ DGX │ 2790.06 │ 93.03% │ 2977.51 │ 106.00% │ -12.97% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2016-02-06 00:00:00 │ YUM │ 217.80 │ 124.58% │ 225.69 │ 132.72% │ -8.14% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2016-09-07 00:00:00 │ GOOGL │ 4544.10 │ 181.20% │ 3099.70 │ 91.82% │ 89.38% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2017-01-10 00:00:00 │ AMZN │ 4214.88 │ 164.79% │ 2913.21 │ 83.01% │ 81.77% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2017-05-10 00:00:00 │ AAPL │ 1465.00 │ 282.31% │ 661.37 │ 72.59% │ 209.71% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2017-12-08 00:00:00 │ APTV │ 907.40 │ 6.48% │ 1317.77 │ 54.63% │ -48.15% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2018-07-05 00:00:00 │ ASML │ 2606.50 │ 165.98% │ 1441.40 │ 47.09% │ 118.89% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2018-09-03 00:00:00 │ NKE │ 323.76 │ 35.58% │ 331.89 │ 38.98% │ -3.40% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2019-05-04 00:00:00 │ BABA │ 408.65 │ -56.58% │ 1284.84 │ 36.51% │ -93.09% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2019-09-09 00:00:00 │ TSM │ 263.49 │ 100.30% │ 177.00 │ 34.55% │ 65.74% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2019-12-10 00:00:00 │ DGX │ 1062.88 │ 26.61% │ 1069.02 │ 27.34% │ -0.73% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2020-02-03 00:00:00 │ YUM │ 1089.00 │ 2.34% │ 1304.22 │ 22.57% │ -20.23% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2020-03-08 00:00:00 │ GOOGL │ 6816.15 │ 86.88% │ 5324.47 │ 45.98% │ 40.90% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2020-06-09 00:00:00 │ AMZN │ 4214.88 │ -18.97% │ 6436.07 │ 23.73% │ -42.70% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2020-12-12 00:00:00 │ AAPL │ 586.00 │ 20.30% │ 512.33 │ 5.18% │ 15.12% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2021-01-07 00:00:00 │ APTV │ 1814.80 │ -37.33% │ 2901.22 │ 0.18% │ -37.51% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2021-05-06 00:00:00 │ ASML │ 15639.00 │ -19.10% │ 17643.93 │ -8.72% │ -10.37% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2021-12-28 00:00:00 │ NKE │ 1402.96 │ -35.15% │ 1749.43 │ -19.14% │ -16.01% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2022-02-02 00:00:00 │ BABA │ 2451.90 │ -33.49% │ 3141.73 │ -14.78% │ -18.71% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2022-03-04 00:00:00 │ TSM │ 2634.90 │ -16.40% │ 2835.11 │ -10.05% │ -6.35% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2022-04-12 00:00:00 │ DGX │ 1328.60 │ -3.21% │ 1216.75 │ -11.36% │ 8.15% │ ├─────────────────────┼───────┼─────────────────┼────────────────────┼─────────────────┼────────────────────┼──────────┤ │ 2022-05-02 00:00:00 │ YUM │ 1197.90 │ -5.93% │ 1194.00 │ -6.23% │ 0.31% │ └─────────────────────┴───────┴─────────────────┴────────────────────┴─────────────────┴────────────────────┴──────────┘ "},{"id":482,"href":"/OpenBBTerminal/terminal/portfolio/po/add/","title":"Add","parent":"Introduction to Portfolio Optimization","content":"usage: add/select [-t ADD_TICKERS] [-h] Add/Select tickers for portfolio to be optimized.\noptional arguments: -t ADD_TICKERS, --tickers ADD_TICKERS tickers to be used in the portfolio to optimize. -h, --help show this help message "},{"id":483,"href":"/OpenBBTerminal/terminal/portfolio/po/blacklitterman/","title":"Blacklitterman","parent":"Introduction to Portfolio Optimization","content":"usage: blacklitterman [-p PERIOD] [-s START] [-e END] [-lr] [-f {d,w,m}] [-mn MAXNAN] [-th THRESHOLD] [-mt METHOD] [-bm BENCHMARK] [-o {MinRisk,Utility,Sharpe,MaxRet}] [-pv P_VIEWS] [-qv Q_VIEWS] [-r RISK_FREE_RATE] [-ra RISK_AVERSION] [-d DELTA] [-eq] [-op] [-v VALUE] [-vs VALUE_SHORT] [--name NAME] [-h] The Black-Litterman (BL) Model is an analytical tool used by portfolio managers to optimize asset allocation within an investor’s risk tolerance and market views. Global investors, such as pension funds and insurance companies, need to decide how to allocate their investments across different asset classes and countries. The BL model starts from a neutral position using modern portfolio theory (MPT), and then takes additional input from investors' views to determine how the ultimate asset allocation should deviate from the initial portfolio weights. It then undergoes a process of mean-variance optimization (MVO) to maximize expected return given one\u0026rsquo;s objective risk tolerance.\noptional arguments: -p PERIOD, --period PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START, --start START Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END, --end END End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAXNAN, --maxnan MAXNAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD, --threshold THRESHOLD Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt METHOD, --method METHOD Method used to fill nan values in time series, by default time. Possible values are: linear: linear interpolation time: linear interpolation based on time index nearest: use nearest value to replace nan values zero: spline of zeroth order slinear: spline of first order quadratic: spline of second order cubic: spline of third order barycentric: builds a polynomial that pass for all points (default: time) -bm BENCHMARK, --benchmark BENCHMARK portfolio name from current portfolio list (default: None) -o {MinRisk,Utility,Sharpe,MaxRet}, --objective {MinRisk,Utility,Sharpe,MaxRet} Objective function used to optimize the portfolio (default: MinRisk) -pv P_VIEWS, --p-views P_VIEWS matrix P of views (default: None) -qv Q_VIEWS, --q-views Q_VIEWS matrix Q of views (default: None) -r RISK_FREE_RATE, --risk-free-rate RISK_FREE_RATE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -ra RISK_AVERSION, --risk-aversion RISK_AVERSION Risk aversion parameter (default: 1.0) -d DELTA, --delta DELTA Risk aversion factor of Black Litterman model (default: None) -eq, --equilibrium If True excess returns are based on equilibrium market portfolio, if False excess returns are calculated as historical returns minus risk free rate. (default: True) -op, --optimize If True Black Litterman estimates are used as inputs of mean variance model, if False returns equilibrium weights from Black Litterman model (default: True) -v VALUE, --value VALUE Amount to allocate to portfolio in long positions (default: 1.0) -vs VALUE_SHORT, --value-short VALUE_SHORT Amount to allocate to portfolio in short positions (default: 0.0) --name NAME Save portfolio with personalized or default name (default: BL_3) -h, --help show this help message (default: False) Example:\nFirst we need to build a benchmark portfolio:\n2022 Apr 26, 01:25 (🦋) /portfolio/po/ $ add AAPL,MSFT,JP,BA 2022 Apr 26, 01:26 (🦋) /portfolio/po/ $ maxsharpe [3 Years] Maximal return/risk ratio portfolio using volatility as risk measure Weights ┏━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━━┩ │ AAPL │ 100.00 % │ ├──────┼──────────┤ │ BA │ 0.00 % │ ├──────┼──────────┤ │ JP │ 0.00 % │ ├──────┼──────────┤ │ MSFT │ 0.00 % │ └──────┴──────────┘ Annual (by 252) expected return: 45.46% Annual (by √252) volatility: 34.16% Sharpe ratio: 1.3209 Then we add our views to the benchmark portfolio:\n2022 Apr 26, 01:27 (🦋) /portfolio/po/ $ blacklitterman -bm maxsharpe_0 -pv 0,1, 0,0;1,0,0,0;0,0,0,1 -qv 0.1,0.1,0.05 -o Sharpe [3 Years] Black Litterman portfolio Weights ┏━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━━┩ │ AAPL │ 70.30 % │ ├──────┼──────────┤ │ BA │ 18.55 % │ ├──────┼──────────┤ │ JP │ 0.01 % │ ├──────┼──────────┤ │ MSFT │ 11.14 % │ └──────┴──────────┘ Annual (by 252) expected return: 33.94% Annual (by √252) volatility: 32.80% Sharpe ratio: 1.0346 "},{"id":484,"href":"/OpenBBTerminal/terminal/portfolio/po/dividend/","title":"Dividend","parent":"Introduction to Portfolio Optimization","content":"usage: dividend [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-v LONG_ALLOCATION] [--name NAME] [-h] Returns a portfolio that is weighted based dividend yield.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD} Risk measure used to calculate indicators. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio (default: 1) --name NAME Save portfolio with personalized or default name (default: DIVIDEND_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 14:55 (🦋) /portfolio/po/ $ dividend [3 Years] Weighted Portfolio based on dividendYield Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 8.48 % │ ├──────┼─────────┤ │ AMZN │ 0.0 % │ ├──────┼─────────┤ │ BA │ 0.0 % │ ├──────┼─────────┤ │ FB │ 0.0 % │ ├──────┼─────────┤ │ MSFT │ 13.58 % │ ├──────┼─────────┤ │ T │ 77.92 % │ ├──────┼─────────┤ │ TSLA │ 0.0 % │ └──────┴─────────┘ Annual (by 252) expected return: 10.30% Annual (by √252) volatility: 24.10% Sharpe ratio: 0.4198 "},{"id":485,"href":"/OpenBBTerminal/terminal/portfolio/po/ef/","title":"Ef","parent":"Introduction to Portfolio Optimization","content":"usage: ef [-p PERIOD] [-s START] [-e END] [-lr] [-f {d,w,m}] [-mn MAXNAN] [-th THRESHOLD] [-mt METHOD] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}] [-r RISK_FREE_RATE] [-a ALPHA] [-v VALUE] [-vs VALUE_SHORT] [-n N_PORTFOLIOS] [-se SEED] [-t] [-h] This function plots random portfolios based on their risk and returns and shows the efficient frontier of selected risk measure.\noptional arguments: -p PERIOD, --period PERIOD Period to get yfinance data from (default: 3y) -s START, --start START Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END, --end END End date to get yfinance data from (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns (default: d) -mn MAXNAN, --maxnan MAXNAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD, --threshold THRESHOLD Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt METHOD, --method METHOD Method used to fill nan values (default: time) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD} Risk measure used to optimize the portfolio (default: MV) -r RISK_FREE_RATE, --risk-free-rate RISK_FREE_RATE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00185) -a ALPHA, --alpha ALPHA Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -v VALUE, --value VALUE Amount to allocate to portfolio in long positions (default: 1.0) -vs VALUE_SHORT, --value-short VALUE_SHORT Amount to allocate to portfolio in short positions (default: 0.0) -n N_PORTFOLIOS, --number-portfolios N_PORTFOLIOS Number of portfolios to simulate (default: 100) -se SEED, --seed SEED Seed used to generate random portfolios (default: 123) -t, --tangency Adds the optimal line with the risk-free asset (default: False) --no-plot Whether to plot the tickers (default: True) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 15:03 (🦋) /portfolio/po/ $ ef "},{"id":486,"href":"/OpenBBTerminal/terminal/portfolio/po/equal/","title":"Equal","parent":"Introduction to Portfolio Optimization","content":"usage: equal [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-v LONG_ALLOCATION] [--name NAME] [-h] Returns an equally weighted portfolio.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD} Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio (default: 1) --name NAME Save portfolio with personalized or default name (default: EQUAL_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 14:52 (🦋) /portfolio/po/ $ equal [3 Years] Equally Weighted Portfolio Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 14.28 % │ ├──────┼─────────┤ │ AMZN │ 14.28 % │ ├──────┼─────────┤ │ BA │ 14.28 % │ ├──────┼─────────┤ │ FB │ 14.28 % │ ├──────┼─────────┤ │ MSFT │ 14.28 % │ ├──────┼─────────┤ │ T │ 14.28 % │ ├──────┼─────────┤ │ TSLA │ 14.28 % │ └──────┴─────────┘ Annual (by 252) expected return: 35.70% Annual (by √252) volatility: 29.50% Sharpe ratio: 1.2041 "},{"id":487,"href":"/OpenBBTerminal/terminal/portfolio/po/file/","title":"File","parent":"Introduction to Portfolio Optimization","content":"usage: file -f FILE [FILE ...] [-h] Select parameter file to use.\nOptional arguments:\noptional arguments: -f FILE [FILE ...], --file FILE [FILE ...] Parameter file to be used (default: None) -h, --help show this help message (default: False) 2022 May 02, 06:51 (🦋) /portfolio/po/ $ file OpenBB_Parameters_Template v1.0.0.xlsx Parameters: historic_period : 3y log_returns : 0 return_frequency : d max_nan : 0.05 threshold_value : 0.3 nan_fill_method : time risk_free : 0.003 significance_level : 0.05 risk_measure : MV target_return : -1 target_risk : -1 expected_return : hist covariance : hist smoothing_factor_ewma : 0.94 long_allocation : 1 short_allocation : 0 "},{"id":488,"href":"/OpenBBTerminal/terminal/portfolio/po/herc/","title":"Herc","parent":"Introduction to Portfolio Optimization","content":"usage: herc [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-cd {pearson,spearman,abs_pearson,abs_spearman,distance,mutual_info,tail}] [-cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}] [-rm {MV,MAD,GMD,MSV,VaR,CVaR,TG,EVaR,RG,CVRG,TGRG,WR,FLPM,SLPM,MDD,ADD,DaR,CDaR,EDaR,UCI,MDD_Rel,ADD_Rel,DaR_Rel,CDaR_Rel,EDaR_Rel,UCI_Rel}] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-as CVAR_SIMULATIONS_LOSSES] [-b CVAR_SIGNIFICANCE] [-bs CVAR_SIMULATIONS_GAINS] [-lk {single,complete,average,weighted,centroid,median,ward,dbht}] [-k AMOUNT_CLUSTERS] [-mk MAX_CLUSTERS] [-bi AMOUNT_BINS] [-at ALPHA_TAIL] [-lo LEAF_ORDER] [-de SMOOTHING_FACTOR_EWMA] [-v LONG_ALLOCATION] [--name NAME] [-h] In a risk budgeting portfolio, the risk contribution from each component is equal to the budget of risk defined by the portfolio manager. Maillard, Roncalli, and Teiletche (source) described the Equal Risk Contribution optimization, which is satisfied when all assets contribute the same volatility to the portfolio (equal risk budgeting). It has been shown that the Equal Risk Contribution portfolio is a compelling balance between the objectives of the equal weight and Minimum Variance portfolios. It is also a close cousin to the Inverse Volatility portfolio, except that it is less vulnerable to the case where assets have vastly different correlations.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -cd {pearson,spearman,abs_pearson,abs_spearman,distance,mutual_info,tail}, --codependence {pearson,spearman,abs_pearson,abs_spearman,distance,mutual_info,tail} The codependence or similarity matrix used to build the distance metric and clusters. Possible values are: 'pearson': pearson correlation matrix 'spearman': spearman correlation matrix 'abs_pearson': absolute value of pearson correlation matrix 'abs_spearman': absolute value of spearman correlation matrix 'distance': distance correlation matrix 'mutual_info': mutual information codependence matrix 'tail': tail index codependence matrix (default: pearson) -cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}, --covariance {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink} Method used to estimate covariance matrix. Possible values are 'hist': historical method 'ewma1': exponential weighted moving average with adjust=True 'ewma2': exponential weighted moving average with adjust=False 'ledoit': Ledoit and Wolf shrinkage method 'oas': oracle shrinkage method 'shrunk': scikit-learn shrunk method 'gl': graphical lasso method 'jlogo': j-logo covariance 'fixed': takes average of eigenvalues above max Marchenko Pastour limit 'spectral': makes zero eigenvalues above max Marchenko Pastour limit 'shrink': Lopez de Prado's book shrinkage method (default: hist) -rm {MV,MAD,GMD,MSV,VaR,CVaR,TG,EVaR,RG,CVRG,TGRG,WR,FLPM,SLPM,MDD,ADD,DaR,CDaR,EDaR,UCI,MDD_Rel,ADD_Rel,DaR_Rel,CDaR_Rel,EDaR_Rel,UCI_Rel}, --risk-measure {MV,MAD,GMD,MSV,VaR,CVaR,TG,EVaR,RG,CVRG,TGRG,WR,FLPM,SLPM,MDD,ADD,DaR,CDaR,EDaR,UCI,MDD_Rel,ADD_Rel,DaR_Rel,CDaR_Rel,EDaR_Rel,UCI_Rel} Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'GMD' : Gini Mean Difference 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'VaR' : Value at Risk 'CVaR' : Conditional Value at Risk 'TG' : Tail Gini 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'RG' : Range 'CVRG' : CVaR Range 'TGRG' : Tail Gini Range 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'DaR' : Drawdown at Risk of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns 'ADD_Rel' : Average Drawdown of compounded returns 'UCI_Rel' : Ulcer Index of compounded returns 'DaR_Rel' : Drawdown at Risk of compounded returns 'CDaR_Rel' : Conditional Drawdown at Risk of compounded returns 'EDaR_Rel' : Entropic Drawdown at Risk of compounded returns 'MDD_Rel' : Maximum Drawdown of compounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of VaR, CVaR, EVaR, DaR, CDaR, EDaR and Tail Gini of losses (default: 0.05) -as CVAR_SIMULATIONS_LOSSES, --a-sim CVAR_SIMULATIONS_LOSSES Number of CVaRs used to approximate Tail Gini of losses. The default is 100 (default: 100) -b CVAR_SIGNIFICANCE, --beta CVAR_SIGNIFICANCE Significance level of CVaR and Tail Gini of gains. If empty it duplicates alpha (default: None) -bs CVAR_SIMULATIONS_GAINS, --b-sim CVAR_SIMULATIONS_GAINS Number of CVaRs used to approximate Tail Gini of gains. If empty it duplicates a_sim value (default: None) -lk {single,complete,average,weighted,centroid,median,ward,dbht}, --linkage {single,complete,average,weighted,centroid,median,ward,dbht} Linkage method of hierarchical clustering (default: single) -k AMOUNT_CLUSTERS Number of clusters specified in advance (default: None) -mk MAX_CLUSTERS, --max-k MAX_CLUSTERS Max number of clusters used by the two difference gap statistic to find the optimal number of clusters. If k is empty this value is used (default: 10) -bi AMOUNT_BINS, --bins-info AMOUNT_BINS Number of bins used to calculate the variation of information (default: KN) -at ALPHA_TAIL, --alpha-tail ALPHA_TAIL Significance level for lower tail dependence index, only used when when codependence value is 'tail' (default: 0.05) -lo LEAF_ORDER, --leaf-order LEAF_ORDER Indicates if the cluster are ordered so that the distance between successive leaves is minimal (default: True) -de SMOOTHING_FACTOR_EWMA, --d-ewma SMOOTHING_FACTOR_EWMA Smoothing factor for ewma estimators (default: 0.94) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio (default: 1) --name NAME Save portfolio with personalized or default name (default: HERC_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 14:40 (🦋) /portfolio/po/ $ herc [3 Years] Hierarchical equal risk contribution portfolio using pearson codependence,single linkage and volatility as risk measure Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 10.78 % │ ├──────┼─────────┤ │ AMZN │ 12.64 % │ ├──────┼─────────┤ │ BA │ 9.12 % │ ├──────┼─────────┤ │ FB │ 8.08 % │ ├──────┼─────────┤ │ MSFT │ 12.86 % │ ├──────┼─────────┤ │ T │ 43.83 % │ ├──────┼─────────┤ │ TSLA │ 2.66 % │ └──────┴─────────┘ Annual (by 252) expected return: 18.09% Annual (by √252) volatility: 24.19% Sharpe ratio: 0.7401 "},{"id":489,"href":"/OpenBBTerminal/terminal/portfolio/po/hrp/","title":"Hrp","parent":"Introduction to Portfolio Optimization","content":"usage: hrp [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-cd {pearson,spearman,abs_pearson,abs_spearman,distance,mutual_info,tail}] [-cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}] [-rm {MV,MAD,GMD,MSV,VaR,CVaR,TG,EVaR,RG,CVRG,TGRG,WR,FLPM,SLPM,MDD,ADD,DaR,CDaR,EDaR,UCI,MDD_Rel,ADD_Rel,DaR_Rel,CDaR_Rel,EDaR_Rel,UCI_Rel}] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-as CVAR_SIMULATIONS_LOSSES] [-b CVAR_SIGNIFICANCE] [-bs CVAR_SIMULATIONS_GAINS] [-lk {single,complete,average,weighted,centroid,median,ward,dbht}] [-k AMOUNT_CLUSTERS] [-mk MAX_CLUSTERS] [-bi AMOUNT_BINS] [-at ALPHA_TAIL] [-lo LEAF_ORDER] [-de SMOOTHING_FACTOR_EWMA] [-v LONG_ALLOCATION] [--name NAME] [-h] This Hierarchical Risk Parity (HRP) method uses the information contained in the covariance matrix without requiring its inversion or positive definiteness. In fact, HRP can compute a portfolio based on a singular covariance matrix—an impossible feat for quadratic optimizers. HRP starts by reorganizing the covariance matrix to place similar investments together. Then, it employs an inverse-variance weighting allocation based on the number of assets with no further use of the clustering.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -cd {pearson,spearman,abs_pearson,abs_spearman,distance,mutual_info,tail}, --codependence {pearson,spearman,abs_pearson,abs_spearman,distance,mutual_info,tail} The codependence or similarity matrix used to build the distance metric and clusters. Possible values are: 'pearson': pearson correlation matrix 'spearman': spearman correlation matrix 'abs_pearson': absolute value of pearson correlation matrix 'abs_spearman': absolute value of spearman correlation matrix 'distance': distance correlation matrix 'mutual_info': mutual information codependence matrix 'tail': tail index codependence matrix (default: pearson) -cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}, --covariance {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink} Method used to estimate covariance matrix. Possible values are 'hist': historical method 'ewma1': exponential weighted moving average with adjust=True 'ewma2': exponential weighted moving average with adjust=False 'ledoit': Ledoit and Wolf shrinkage method 'oas': oracle shrinkage method 'shrunk': scikit-learn shrunk method 'gl': graphical lasso method 'jlogo': j-logo covariance 'fixed': takes average of eigenvalues above max Marchenko Pastour limit 'spectral': makes zero eigenvalues above max Marchenko Pastour limit 'shrink': Lopez de Prado's book shrinkage method (default: hist) -rm {MV,MAD,GMD,MSV,VaR,CVaR,TG,EVaR,RG,CVRG,TGRG,WR,FLPM,SLPM,MDD,ADD,DaR,CDaR,EDaR,UCI,MDD_Rel,ADD_Rel,DaR_Rel,CDaR_Rel,EDaR_Rel,UCI_Rel}, --risk-measure {MV,MAD,GMD,MSV,VaR,CVaR,TG,EVaR,RG,CVRG,TGRG,WR,FLPM,SLPM,MDD,ADD,DaR,CDaR,EDaR,UCI,MDD_Rel,ADD_Rel,DaR_Rel,CDaR_Rel,EDaR_Rel,UCI_Rel} Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'GMD' : Gini Mean Difference 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'VaR' : Value at Risk 'CVaR' : Conditional Value at Risk 'TG' : Tail Gini 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'RG' : Range 'CVRG' : CVaR Range 'TGRG' : Tail Gini Range 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'DaR' : Drawdown at Risk of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns 'ADD_Rel' : Average Drawdown of compounded returns 'UCI_Rel' : Ulcer Index of compounded returns 'DaR_Rel' : Drawdown at Risk of compounded returns 'CDaR_Rel' : Conditional Drawdown at Risk of compounded returns 'EDaR_Rel' : Entropic Drawdown at Risk of compounded returns 'MDD_Rel' : Maximum Drawdown of compounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of VaR, CVaR, EVaR, DaR, CDaR, EDaR and Tail Gini of losses (default: 0.05) -as CVAR_SIMULATIONS_LOSSES, --a-sim CVAR_SIMULATIONS_LOSSES Number of CVaRs used to approximate Tail Gini of losses. The default is 100 (default: 100) -b CVAR_SIGNIFICANCE, --beta CVAR_SIGNIFICANCE Significance level of CVaR and Tail Gini of gains. If empty it duplicates alpha (default: None) -bs CVAR_SIMULATIONS_GAINS, --b-sim CVAR_SIMULATIONS_GAINS Number of CVaRs used to approximate Tail Gini of gains. If empty it duplicates a_sim value (default: None) -lk {single,complete,average,weighted,centroid,median,ward,dbht}, --linkage {single,complete,average,weighted,centroid,median,ward,dbht} Linkage method of hierarchical clustering (default: single) -k AMOUNT_CLUSTERS Number of clusters specified in advance (default: None) -mk MAX_CLUSTERS, --max-k MAX_CLUSTERS Max number of clusters used by the two difference gap statistic to find the optimal number of clusters. If k is empty this value is used (default: 10) -bi AMOUNT_BINS, --bins-info AMOUNT_BINS Number of bins used to calculate the variation of information (default: KN) -at ALPHA_TAIL, --alpha-tail ALPHA_TAIL Significance level for lower tail dependence index, only used when when codependence value is 'tail' (default: 0.05) -lo LEAF_ORDER, --leaf-order LEAF_ORDER Indicates if the cluster are ordered so that the distance between successive leaves is minimal (default: True) -de SMOOTHING_FACTOR_EWMA, --d-ewma SMOOTHING_FACTOR_EWMA Smoothing factor for ewma estimators (default: 0.94) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio (default: 1) --name NAME Save portfolio with personalized or default name (default: HRP_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 14:20 (🦋) /portfolio/po/ $ hrp [3 Years] Hierarchical risk parity portfolio using pearson codependence, single linkage and volatility as risk measure Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 13.74 % │ ├──────┼─────────┤ │ AMZN │ 17.97 % │ ├──────┼─────────┤ │ BA │ 5.74 % │ ├──────┼─────────┤ │ FB │ 10.29 % │ ├──────┼─────────┤ │ MSFT │ 18.28 % │ ├──────┼─────────┤ │ T │ 27.57 % │ ├──────┼─────────┤ │ TSLA │ 6.37 % │ └──────┴─────────┘ Annual (by 252) expected return: 28.03% Annual (by √252) volatility: 25.35% Sharpe ratio: 1.0982 "},{"id":490,"href":"/OpenBBTerminal/terminal/portfolio/po/load/","title":"Load","parent":"Introduction to Portfolio Optimization","content":"usage: load -f FILE [FILE ...] [-h] Load file with stocks tickers and categories.\n2022 Apr 26, 01:35 (🦋) /portfolio/po/ $ load -f allocation.xlsx 2022 Apr 26, 02:15 (🦋) /portfolio/po/ $ show Current Portfolios: None Current Categories: ASSET_CLASS, SECTOR, INDUSTRY, COUNTRY, CURRENT_INVESTED_AMOUNT, CURRENCY "},{"id":491,"href":"/OpenBBTerminal/terminal/portfolio/po/maxdecorr/","title":"Maxdecorr","parent":"Introduction to Portfolio Optimization","content":"usage: maxdecorr [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}] [-de SMOOTHING_FACTOR_EWMA] [-v LONG_ALLOCATION] [-vs SHORT_ALLOCATION] [--name NAME] [-h] Maximum Decorrelation described by Christoffersen et al. (source) is closely related to Minimum Variance and Maximum Diversification, but applies to the case where an investor believes all assets have similar returns and volatility, but heterogeneous correlations. It is a Minimum Variance optimization that is performed on the correlation matrix rather than the covariance matrix.\nInterestingly, when the weights derived from the Maximum Decorrelation optimization are divided through by their respective volatilities and re-standardized so they sum to 1, we retrieve the Maximum Diversification weights. Thus, the portfolio weights that maximize decorrelation will also maximize the Diversification Ratio when all assets have equal volatility and maximize the Sharpe ratio when all assets have equal risks and returns.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}, --covariance {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink} Method used to estimate covariance matrix. Possible values are 'hist': historical method 'ewma1': exponential weighted moving average with adjust=True 'ewma2': exponential weighted moving average with adjust=False 'ledoit': Ledoit and Wolf shrinkage method 'oas': oracle shrinkage method 'shrunk': scikit-learn shrunk method 'gl': graphical lasso method 'jlogo': j-logo covariance 'fixed': takes average of eigenvalues above max Marchenko Pastour limit 'spectral': makes zero eigenvalues above max Marchenko Pastour limit 'shrink': Lopez de Prado's book shrinkage method (default: hist) -de SMOOTHING_FACTOR_EWMA, --d-ewma SMOOTHING_FACTOR_EWMA Smoothing factor for ewma estimators (default: 0.94) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio in long positions (default: 1) -vs SHORT_ALLOCATION, --value-short SHORT_ALLOCATION Amount to allocate to portfolio in short positions (default: 0.0) --name NAME Save portfolio with personalized or default name (default: MAXDECORR_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 14:15 (🦋) /portfolio/po/ $ maxdecorr [3 Years] Display a maximal decorrelation portfolio Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 0.0 % │ ├──────┼─────────┤ │ AMZN │ 18.49 % │ ├──────┼─────────┤ │ BA │ 17.29 % │ ├──────┼─────────┤ │ FB │ 12.33 % │ ├──────┼─────────┤ │ MSFT │ 0.0 % │ ├──────┼─────────┤ │ T │ 27.37 % │ ├──────┼─────────┤ │ TSLA │ 24.50 % │ └──────┴─────────┘ Annual (by 252) expected return: 36.58% Annual (by √252) volatility: 31.17% Sharpe ratio: 1.1735 "},{"id":492,"href":"/OpenBBTerminal/terminal/portfolio/po/maxdiv/","title":"Maxdiv","parent":"Introduction to Portfolio Optimization","content":"usage: maxdiv [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}] [-de SMOOTHING_FACTOR_EWMA] [-v LONG_ALLOCATION] [-vs SHORT_ALLOCATION] [--name NAME] [-h] Choueifaty and Coignard (source) proposed that markets are risk-efficient, such that investments will produce returns in proportion to their total risk, as measured by volatility. This differs from CAPM, which assumes returns are proportional to non-diversifiable (i.e. systematic) risk. The Diversification Ratio, which is to be maximized, quantifies the degree to which the portfolio risk can be minimized through strategic placement of weights on diversifying (imperfectly correlated) assets.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}, --covariance {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink} Method used to estimate covariance matrix. Possible values are 'hist': historical method 'ewma1': exponential weighted moving average with adjust=True 'ewma2': exponential weighted moving average with adjust=False 'ledoit': Ledoit and Wolf shrinkage method 'oas': oracle shrinkage method 'shrunk': scikit-learn shrunk method 'gl': graphical lasso method 'jlogo': j-logo covariance 'fixed': takes average of eigenvalues above max Marchenko Pastour limit 'spectral': makes zero eigenvalues above max Marchenko Pastour limit 'shrink': Lopez de Prado's book shrinkage method (default: hist) -de SMOOTHING_FACTOR_EWMA, --d-ewma SMOOTHING_FACTOR_EWMA Smoothing factor for ewma estimators (default: 0.94) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio in long positions (default: 1) -vs SHORT_ALLOCATION, --value-short SHORT_ALLOCATION Amount to allocate to portfolio in short positions (default: 0.0) --name NAME Save portfolio with personalized or default name (default: MAXDIV_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 14:18 (🦋) /portfolio/po/ $ maxdiv [3 Years] Display a maximal diversification portfolio Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 0.0 % │ ├──────┼─────────┤ │ AMZN │ 22.62 % │ ├──────┼─────────┤ │ BA │ 11.53 % │ ├──────┼─────────┤ │ FB │ 12.06 % │ ├──────┼─────────┤ │ MSFT │ 0.0 % │ ├──────┼─────────┤ │ T │ 40.01 % │ ├──────┼─────────┤ │ TSLA │ 13.75 % │ └──────┴─────────┘ Annual (by 252) expected return: 24.68% Annual (by √252) volatility: 26.16% Sharpe ratio: 0.9435 "},{"id":493,"href":"/OpenBBTerminal/terminal/portfolio/po/maxret/","title":"Maxret","parent":"Introduction to Portfolio Optimization","content":"usage: maxret [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-tr TARGET_RETURN] [-tk TARGET_RISK] [-m {hist,ewma1,ewma2}] [-cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}] [-de SMOOTHING_FACTOR_EWMA] [-v LONG_ALLOCATION] [-vs SHORT_ALLOCATION] [--name NAME] [-h] Maximizes the return of portfolio.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD} Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -tr TARGET_RETURN, --target-return TARGET_RETURN Constraint on minimum level of portfolio's return (default: -1) -tk TARGET_RISK, --target-risk TARGET_RISK Constraint on maximum level of portfolio's risk (default: -1) -m {hist,ewma1,ewma2}, --mean {hist,ewma1,ewma2} Method used to estimate the expected return vector (default: hist) -cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}, --covariance {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink} Method used to estimate covariance matrix. Possible values are 'hist': historical method 'ewma1': exponential weighted moving average with adjust=True 'ewma2': exponential weighted moving average with adjust=False 'ledoit': Ledoit and Wolf shrinkage method 'oas': oracle shrinkage method 'shrunk': scikit-learn shrunk method 'gl': graphical lasso method 'jlogo': j-logo covariance 'fixed': takes average of eigenvalues above max Marchenko Pastour limit 'spectral': makes zero eigenvalues above max Marchenko Pastour limit 'shrink': Lopez de Prado's book shrinkage method (default: hist) -de SMOOTHING_FACTOR_EWMA, --d-ewma SMOOTHING_FACTOR_EWMA Smoothing factor for ewma estimators (default: 0.94) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio in long positions (default: 1) -vs SHORT_ALLOCATION, --value-short SHORT_ALLOCATION Amount to allocate to portfolio in short positions (default: 0.0) --name NAME Save portfolio with personalized or default name (default: MAXRET_0) -h, --help show this help message (default: False) Example:\n [3 Years] Maximal return portfolio using volatility as risk measure Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 0.0 % │ ├──────┼─────────┤ │ AMZN │ 0.0 % │ ├──────┼─────────┤ │ BA │ 0.0 % │ ├──────┼─────────┤ │ FB │ 0.0 % │ ├──────┼─────────┤ │ MSFT │ 0.0 % │ ├──────┼─────────┤ │ T │ 0.0 % │ ├──────┼─────────┤ │ TSLA │ 100.0 % │ └──────┴─────────┘ Annual (by 252) expected return: 124.85% Annual (by √252) volatility: 68.44% Sharpe ratio: 1.8215 "},{"id":494,"href":"/OpenBBTerminal/terminal/portfolio/po/maxsharpe/","title":"Maxsharpe","parent":"Introduction to Portfolio Optimization","content":"usage: maxsharpe [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-tr TARGET_RETURN] [-tk TARGET_RISK] [-m {hist,ewma1,ewma2}] [-cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}] [-de SMOOTHING_FACTOR_EWMA] [-v LONG_ALLOCATION] [-vs SHORT_ALLOCATION] [--name NAME] [-h] Maximizes the Risk-Adjusted Return Ratio. The Sharpe ratio is one of the most widely used methods for calculating risk-adjusted return. Modern Portfolio Theory (MPT) states that adding assets to a diversified portfolio that has low correlations can decrease portfolio risk without sacrificing returns. Adding diversification should increase the Sharpe ratio compared to similar portfolios with a lower level of diversification. For this to be true, investors must also accept the assumption that risk is equal to volatility, which is not unreasonable but may be too narrow to be applied to all investments. Post-Modern Portfolio Theory (PMPT) allows to extend the concept of Sharpe ratio to other risk measures like conditional value at risk or conditional drawdown at risk to consider downside risk aversion.\nThe Risk-Adjusted Return Ratio is calculated as follows:\n Subtract the risk-free rate from the return of the portfolio. The risk-free rate could be a U.S. Treasury rate or yield, such as the one-year or two-year Treasury yield.\n Divide the result by the selected risk measure of the portfolio’s excess return.\n The Risk-Adjusted Return Ratio can also help explain whether a portfolio\u0026rsquo;s excess returns are due to smart investment decisions or a result of too much risk.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD} Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -tr TARGET_RETURN, --target-return TARGET_RETURN Constraint on minimum level of portfolio's return (default: -1) -tk TARGET_RISK, --target-risk TARGET_RISK Constraint on maximum level of portfolio's risk (default: -1) -m {hist,ewma1,ewma2}, --mean {hist,ewma1,ewma2} Method used to estimate the expected return vector (default: hist) -cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}, --covariance {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink} Method used to estimate covariance matrix. Possible values are 'hist': historical method 'ewma1': exponential weighted moving average with adjust=True 'ewma2': exponential weighted moving average with adjust=False 'ledoit': Ledoit and Wolf shrinkage method 'oas': oracle shrinkage method 'shrunk': scikit-learn shrunk method 'gl': graphical lasso method 'jlogo': j-logo covariance 'fixed': takes average of eigenvalues above max Marchenko Pastour limit 'spectral': makes zero eigenvalues above max Marchenko Pastour limit 'shrink': Lopez de Prado's book shrinkage method (default: hist) -de SMOOTHING_FACTOR_EWMA, --d-ewma SMOOTHING_FACTOR_EWMA Smoothing factor for ewma estimators (default: 0.94) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio in long positions (default: 1) -vs SHORT_ALLOCATION, --value-short SHORT_ALLOCATION Amount to allocate to portfolio in short positions (default: 0.0) --name NAME Save portfolio with personalized or default name (default: MAXSHARPE_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 13:52 (🦋) /portfolio/po/ $ maxsharpe --pie [3 Years] Display a maximal return/risk ratio portfolio using volatility as risk measure Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 51.47 % │ ├──────┼─────────┤ │ AMZN │ 0.0 % │ ├──────┼─────────┤ │ BA │ 0.0 % │ ├──────┼─────────┤ │ FB │ 0.0 % │ ├──────┼─────────┤ │ MSFT │ 0.0 % │ ├──────┼─────────┤ │ T │ 0.0 % │ ├──────┼─────────┤ │ TSLA │ 48.52 % │ └──────┴─────────┘ Annual (by 252) expected return: 86.15% Annual (by √252) volatility: 44.22% Sharpe ratio: 1.9441 "},{"id":495,"href":"/OpenBBTerminal/terminal/portfolio/po/maxutil/","title":"Maxutil","parent":"Introduction to Portfolio Optimization","content":"usage: maxutil [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}] [-r RISK_FREE] [-ra RISK_AVERSION] [-a SIGNIFICANCE_LEVEL] [-tr TARGET_RETURN] [-tk TARGET_RISK] [-m {hist,ewma1,ewma2}] [-cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}] [-de SMOOTHING_FACTOR_EWMA] [-v LONG_ALLOCATION] [-vs SHORT_ALLOCATION] [--name NAME] [-h] In financial economics, the risk averse utility function is the most frequently used to describe investor behaviour. In Modern Portfolio Theory (MPT), the quadratic utility function based on variance is used to model investor preferences. However, in recent years, Post-Modern Portfolio Theory (PMPT) introduces linear risk averse utility functions based on post-modern risk measures like conditional value at risk or conditional drawdown at risk in order to model downside risk aversion.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD} Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -ra RISK_AVERSION, --risk-aversion RISK_AVERSION Risk aversion parameter (default: 1) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -tr TARGET_RETURN, --target-return TARGET_RETURN Constraint on minimum level of portfolio's return (default: -1) -tk TARGET_RISK, --target-risk TARGET_RISK Constraint on maximum level of portfolio's risk (default: -1) -m {hist,ewma1,ewma2}, --mean {hist,ewma1,ewma2} Method used to estimate the expected return vector (default: hist) -cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}, --covariance {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink} Method used to estimate covariance matrix. Possible values are 'hist': historical method 'ewma1': exponential weighted moving average with adjust=True 'ewma2': exponential weighted moving average with adjust=False 'ledoit': Ledoit and Wolf shrinkage method 'oas': oracle shrinkage method 'shrunk': scikit-learn shrunk method 'gl': graphical lasso method 'jlogo': j-logo covariance 'fixed': takes average of eigenvalues above max Marchenko Pastour limit 'spectral': makes zero eigenvalues above max Marchenko Pastour limit 'shrink': Lopez de Prado's book shrinkage method (default: hist) -de SMOOTHING_FACTOR_EWMA, --d-ewma SMOOTHING_FACTOR_EWMA Smoothing factor for ewma estimators (default: 0.94) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio in long positions (default: 1) -vs SHORT_ALLOCATION, --value-short SHORT_ALLOCATION Amount to allocate to portfolio in short positions (default: 0.0) --name NAME Save portfolio with personalized or default name (default: MAXUTIL_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 13:21 (🦋) /portfolio/po/ $ maxutil [3 Years] Display a maximal risk averse utility function portfolio using volatility as risk measure Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 0.0 % │ ├──────┼─────────┤ │ AMZN │ 0.0 % │ ├──────┼─────────┤ │ BA │ 0.0 % │ ├──────┼─────────┤ │ FB │ 0.0 % │ ├──────┼─────────┤ │ MSFT │ 0.0 % │ ├──────┼─────────┤ │ T │ 0.0 % │ ├──────┼─────────┤ │ TSLA │ 100.0 % │ └──────┴─────────┘ Annual (by 252) expected return: 124.85% Annual (by √252) volatility: 68.44% Sharpe ratio: 1.8215 "},{"id":496,"href":"/OpenBBTerminal/terminal/portfolio/po/minrisk/","title":"Minrisk","parent":"Introduction to Portfolio Optimization","content":"usage: minrisk [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-tr TARGET_RETURN] [-tk TARGET_RISK] [-m {hist,ewma1,ewma2}] [-cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}] [-de SMOOTHING_FACTOR_EWMA] [-v LONG_ALLOCATION] [-vs SHORT_ALLOCATION] [--name NAME] [-h] If all investments have the same expected return independent of risk, investors seeking maximum returns for minimum risk should concentrate exclusively on minimizing risk. This is the explicit objective of the minimum variance portfolio.\nHaugen and Baker (source) proposed dispensing with any relationship between risk and return, at least for equities. Their paper was one of the first to demonstrate that stock returns are not well explained by beta. In fact, they observed a negative relationship between returns and volatility. In the face of a spurious link between risk and return, Haugen and Baker suggested that a regularly reconstituted long-only Minimum Variance portfolio might dominate the capitalization weighted portfolio for stocks.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD} Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -tr TARGET_RETURN, --target-return TARGET_RETURN Constraint on minimum level of portfolio's return (default: -1) -tk TARGET_RISK, --target-risk TARGET_RISK Constraint on maximum level of portfolio's risk (default: -1) -m {hist,ewma1,ewma2}, --mean {hist,ewma1,ewma2} Method used to estimate expected returns vector (default: hist) -cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}, --covariance {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink} Method used to estimate covariance matrix. Possible values are 'hist': historical method 'ewma1': exponential weighted moving average with adjust=True 'ewma2': exponential weighted moving average with adjust=False 'ledoit': Ledoit and Wolf shrinkage method 'oas': oracle shrinkage method 'shrunk': scikit-learn shrunk method 'gl': graphical lasso method 'jlogo': j-logo covariance 'fixed': takes average of eigenvalues above max Marchenko Pastour limit 'spectral': makes zero eigenvalues above max Marchenko Pastour limit 'shrink': Lopez de Prado's book shrinkage method (default: hist) -de SMOOTHING_FACTOR_EWMA, --d-ewma SMOOTHING_FACTOR_EWMA Smoothing factor for ewma estimators (default: 0.94) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio in long positions (default: 1) -vs SHORT_ALLOCATION, --value-short SHORT_ALLOCATION Amount to allocate to portfolio in short positions (default: 0.0) --name NAME Save portfolio with personalized or default name (default: MINRISK_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 13:45 (🦋) /portfolio/po/ $ minrisk [3 Years] Display a minimum risk portfolio using volatility as risk measure Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 0.0 % │ ├──────┼─────────┤ │ AMZN │ 35.21 % │ ├──────┼─────────┤ │ BA │ 0.0 % │ ├──────┼─────────┤ │ FB │ 0.0 % │ ├──────┼─────────┤ │ MSFT │ 5.86 % │ ├──────┼─────────┤ │ T │ 58.92 % │ ├──────┼─────────┤ │ TSLA │ 0.0 % │ └──────┴─────────┘ Annual (by 252) expected return: 11.77% Annual (by √252) volatility: 22.03% Sharpe ratio: 0.5256 "},{"id":497,"href":"/OpenBBTerminal/terminal/portfolio/po/mktcap/","title":"Mktcap","parent":"Introduction to Portfolio Optimization","content":"usage: mktcap [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-v LONG_ALLOCATION] [--name NAME] [-h] Returns a portfolio that is weighted based on Market Cap.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD} Risk measure used to calculate indicators. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio (default: 1) --name NAME Save portfolio with personalized or default name (default: MKTCAP_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 14:53 (🦋) /portfolio/po/ $ mktcap [3 Years] Weighted Portfolio based on marketCap Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 32.03 % │ ├──────┼─────────┤ │ AMZN │ 18.73 % │ ├──────┼─────────┤ │ BA │ 1.21 % │ ├──────┼─────────┤ │ FB │ 7.10 % │ ├──────┼─────────┤ │ MSFT │ 26.20 % │ ├──────┼─────────┤ │ T │ 1.92 % │ ├──────┼─────────┤ │ TSLA │ 12.79 % │ └──────┴─────────┘ Annual (by 252) expected return: 47.78% Annual (by √252) volatility: 30.44% Sharpe ratio: 1.5636 "},{"id":498,"href":"/OpenBBTerminal/terminal/portfolio/po/nco/","title":"Nco","parent":"Introduction to Portfolio Optimization","content":"usage: nco [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-cd {pearson,spearman,abs_pearson,abs_spearman,distance,mutual_info,tail}] [-cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}] [-o {MinRisk,Utility,Sharpe,ERC}] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}] [-r RISK_FREE] [-ra RISK_AVERSION] [-a SIGNIFICANCE_LEVEL] [-lk {single,complete,average,weighted,centroid,median,ward,dbht}] [-k AMOUNT_CLUSTERS] [-mk MAX_CLUSTERS] [-bi AMOUNT_BINS] [-at ALPHA_TAIL] [-lo] [-de SMOOTHING_FACTOR_EWMA] [-v LONG_ALLOCATION] [--name NAME] [-h] Convex optimization solutions tend to be unstable, to the point of entirely offsetting the benefits of optimization. For example, in the context of financial applications, it is known that portfolios optimized in-sample often underperform the naïve (equal weights) allocation out-of-sample. This instability can be traced back to two sources: (i) noise in the input variables; and (ii) signal structure that magnifies the estimation errors in the input variables. The paper by Lopez de Prado (source) introduces the nested clustered optimization algorithm (NCO), a method that tackles both sources of instability.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -cd {pearson,spearman,abs_pearson,abs_spearman,distance,mutual_info,tail}, --codependence {pearson,spearman,abs_pearson,abs_spearman,distance,mutual_info,tail} The codependence or similarity matrix used to build the distance metric and clusters. Possible values are: 'pearson': pearson correlation matrix 'spearman': spearman correlation matrix 'abs_pearson': absolute value of pearson correlation matrix 'abs_spearman': absolute value of spearman correlation matrix 'distance': distance correlation matrix 'mutual_info': mutual information codependence matrix 'tail': tail index codependence matrix (default: pearson) -cv {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink}, --covariance {hist,ewma1,ewma2,ledoit,oas,shrunk,gl,jlogo,fixed,spectral,shrink} Method used to estimate covariance matrix. Possible values are 'hist': historical method 'ewma1': exponential weighted moving average with adjust=True 'ewma2': exponential weighted moving average with adjust=False 'ledoit': Ledoit and Wolf shrinkage method 'oas': oracle shrinkage method 'shrunk': scikit-learn shrunk method 'gl': graphical lasso method 'jlogo': j-logo covariance 'fixed': takes average of eigenvalues above max Marchenko Pastour limit 'spectral': makes zero eigenvalues above max Marchenko Pastour limit 'shrink': Lopez de Prado's book shrinkage method (default: hist) -o {MinRisk,Utility,Sharpe,ERC}, --objective {MinRisk,Utility,Sharpe,ERC} Objective function used to optimize the portfolio (default: MinRisk) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD} Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -ra RISK_AVERSION, --risk-aversion RISK_AVERSION Risk aversion parameter (default: 1) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -lk {single,complete,average,weighted,centroid,median,ward,dbht}, --linkage {single,complete,average,weighted,centroid,median,ward,dbht} Linkage method of hierarchical clustering (default: single) -k AMOUNT_CLUSTERS Number of clusters specified in advance (default: None) -mk MAX_CLUSTERS, --max-k MAX_CLUSTERS Max number of clusters used by the two difference gap statistic to find the optimal number of clusters. If k is empty this value is used (default: 10) -bi AMOUNT_BINS, --bins-info AMOUNT_BINS Number of bins used to calculate the variation of information (default: KN) -at ALPHA_TAIL, --alpha-tail ALPHA_TAIL Significance level for lower tail dependence index, only used when when codependence value is 'tail' (default: 0.05) -lo, --leaf-order indicates if the cluster are ordered so that the distance between successive leaves is minimal (default: True) -de SMOOTHING_FACTOR_EWMA, --d-ewma SMOOTHING_FACTOR_EWMA Smoothing factor for ewma estimators (default: 0.94) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio (default: 1) --name NAME Save portfolio with personalized or default name (default: NCO_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 14:34 (🦋) /portfolio/po/ $ nco [3 Years] Nested clustered optimization using pearson codependence, single linkage and volatility as risk measure Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 7.17 % │ ├──────┼─────────┤ │ AMZN │ 19.33 % │ ├──────┼─────────┤ │ BA │ 0.0 % │ ├──────┼─────────┤ │ FB │ 0.53 % │ ├──────┼─────────┤ │ MSFT │ 16.81 % │ ├──────┼─────────┤ │ T │ 56.14 % │ ├──────┼─────────┤ │ TSLA │ 0.0 % │ └──────┴─────────┘ Annual (by 252) expected return: 15.58% Annual (by √252) volatility: 22.42% Sharpe ratio: 0.6868 "},{"id":499,"href":"/OpenBBTerminal/terminal/portfolio/po/params/","title":"Params","parent":"Introduction to Portfolio Optimization","content":"This menu can be used to change the loaded parameters file and/or alter specific parameters currently set as default.\n╭──────────────────────────────────────────────────────────────────────────────────────────── Portfolio - Portfolio Optimization - Parameters ────────────────────────────────────────────────────────────────────────────────────────────╮ │ │ │ Portfolio Risk Parameters (.ini or .xlsx) │ │ │ │ Loaded file: OpenBB_Parameters_Template v1.0.0.xlsx │ │ │ │ file load portfolio risk parameters │ │ save save portfolio risk parameters to specified file │ │ │ │ Model of interest: maxsharpe │ │ │ │ clear clear model of interest from filtered parameters │ │ set set model of interest to filter parameters │ │ arg set a different value for an argument │ │ │ │ Parameters: │ │ historic_period : 3y │ │ log_returns : 0 │ │ return_frequency : d │ │ max_nan : 0.05 │ │ threshold_value : 0.3 │ │ nan_fill_method : time │ │ risk_free : 0.003 │ │ significance_level : 0.05 │ │ risk_measure : MV │ │ target_return : -1 │ │ target_risk : -1 │ │ expected_return : hist │ │ covariance : hist │ │ smoothing_factor_ewma : 0.94 │ │ long_allocation : 1 │ │ short_allocation : 0 │ │ │ ╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── OpenBB Terminal ─╯ Arg Clear File Save Set "},{"id":500,"href":"/OpenBBTerminal/terminal/portfolio/po/params/arg/","title":"Arg","parent":"Params","content":"usage: arg [-a ARGUMENT ARGUMENT] [-s] [-h] Set a different value for one of the available arguments.\noptional arguments: -a ARGUMENT ARGUMENT, --argument ARGUMENT ARGUMENT Set a value for an argument (default: None) -s, --show_arguments Show the available arguments, the options and a description. (default: False) -h, --help show this help message (default: False) Example:\n2022 May 02, 05:53 (🦋) /portfolio/po/params/ $ arg historic_period 10y 2022 May 02, 05:53 (🦋) /portfolio/po/params/ $ ? ╭──────────────────────────────────────────────────────────────────────────────────────────── Portfolio - Portfolio Optimization - Parameters ────────────────────────────────────────────────────────────────────────────────────────────╮ │ │ │ Portfolio Risk Parameters (.ini or .xlsx) │ │ │ │ Loaded file: OpenBB_Parameters_Template v1.0.0.xlsx │ │ │ │ file load portfolio risk parameters │ │ save save portfolio risk parameters to specified file │ │ │ │ Model of interest: maxdecorr │ │ │ │ clear clear model of interest from filtered parameters │ │ set set model of interest to filter parameters │ │ arg set a different value for an argument │ │ │ │ Parameters: │ │ historic_period : 10y │ │ log_returns : 0 │ │ return_frequency : d │ │ max_nan : 0.05 │ │ threshold_value : 0.3 │ │ nan_fill_method : time │ │ risk_free : 0.003 │ │ significance_level : 0.05 │ │ covariance : hist │ │ long_allocation : 1 │ │ │ ╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── OpenBB Terminal ─╯ "},{"id":501,"href":"/OpenBBTerminal/terminal/portfolio/po/params/clear/","title":"Clear","parent":"Params","content":"usage: clear [-h] Clear selected portfolio optimization models\noptional arguments: -h, --help show this help message (default: False) Example:\n2022 May 02, 05:51 (🦋) /portfolio/po/params/ $ ? ╭──────────────────────────────────────────────────────────────────────────────────────────── Portfolio - Portfolio Optimization - Parameters ────────────────────────────────────────────────────────────────────────────────────────────╮ │ │ │ Portfolio Risk Parameters (.ini or .xlsx) │ │ │ │ Loaded file: OpenBB_Parameters_Template v1.0.0.xlsx │ │ │ │ file load portfolio risk parameters │ │ save save portfolio risk parameters to specified file │ │ │ │ Model of interest: maxsharpe │ │ │ │ clear clear model of interest from filtered parameters │ │ set set model of interest to filter parameters │ │ arg set a different value for an argument │ │ │ │ Parameters: │ │ historic_period : 3y │ │ log_returns : 0 │ │ return_frequency : d │ │ max_nan : 0.05 │ │ threshold_value : 0.3 │ │ nan_fill_method : time │ │ risk_free : 0.003 │ │ significance_level : 0.05 │ │ risk_measure : MV │ │ target_return : -1 │ │ target_risk : -1 │ │ expected_return : hist │ │ covariance : hist │ │ smoothing_factor_ewma : 0.94 │ │ long_allocation : 1 │ │ short_allocation : 0 │ │ │ ╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── OpenBB Terminal ─╯ 2022 May 02, 05:51 (🦋) /portfolio/po/params/ $ clear 2022 May 02, 05:51 (🦋) /portfolio/po/params/ $ ? ╭──────────────────────────────────────────────────────────────────────────────────────────── Portfolio - Portfolio Optimization - Parameters ────────────────────────────────────────────────────────────────────────────────────────────╮ │ │ │ Portfolio Risk Parameters (.ini or .xlsx) │ │ │ │ Loaded file: OpenBB_Parameters_Template v1.0.0.xlsx │ │ │ │ file load portfolio risk parameters │ │ save save portfolio risk parameters to specified file │ │ │ │ Model of interest: │ │ │ │ clear clear model of interest from filtered parameters │ │ set set model of interest to filter parameters │ │ arg set a different value for an argument │ │ │ │ Parameters: │ │ historic_period : 3y │ │ log_returns : 0 │ │ return_frequency : d │ │ max_nan : 0.05 │ │ threshold_value : 0.3 │ │ nan_fill_method : time │ │ risk_free : 0.003 │ │ significance_level : 0.05 │ │ technique : maxsharpe │ │ risk_measure : MV │ │ target_return : -1 │ │ target_risk : -1 │ │ expected_return : hist │ │ covariance : hist │ │ smoothing_factor_ewma : 0.94 │ │ long_allocation : 1 │ │ short_allocation : 0 │ │ risk_aversion : 1 │ │ amount_portfolios : 100 │ │ random_seed : 123 │ │ tangency : 0 │ │ risk_parity_model : A │ │ penal_factor : 1 │ │ equilibrium : 1 │ │ optimize : 1 │ │ co_dependence : pearson │ │ cvar_simulations_losses : 100 │ │ cvar_simulations_gains : 100 │ │ cvar_significance : 0.05 │ │ linkage : single │ │ amount_clusters : 10 │ │ max_clusters : 10 │ │ amount_bins : KN │ │ alpha_tail : 0.05 │ │ leaf_order : 1 │ │ objective : MinRisk │ │ │ ╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── OpenBB Terminal ─╯ "},{"id":502,"href":"/OpenBBTerminal/terminal/portfolio/po/params/file/","title":"File","parent":"Params","content":"usage: file -f FILE [FILE ...] [-h] Load portfolio risk parameters (ini or xlsx)\noptional arguments: -f FILE [FILE ...], --file FILE [FILE ...] Parameter file to be used (default: None) -h, --help show this help message (default: False) Example:\n2022 May 02, 05:47 (🦋) /portfolio/po/params/ $ file OpenBB_Parameters_Template v1.0.0.xlsx "},{"id":503,"href":"/OpenBBTerminal/terminal/portfolio/po/params/save/","title":"Save","parent":"Params","content":"usage: save -f FILE [-h] Save portfolio risk parameters (ini or xlsx)\noptional arguments: -f FILE, --file FILE Filename to be saved (default: None) -h, --help show this help message (default: False) Example:\n2022 May 02, 05:49 (🦋) /portfolio/po/params/ $ save OpenBB_Parameters_Template.ini -h "},{"id":504,"href":"/OpenBBTerminal/terminal/portfolio/po/params/set/","title":"Set","parent":"Params","content":"usage: set -m {maxsharpe,minrisk,maxutil,maxret,maxdiv,maxdecorr,ef,riskparity,relriskparity,hrp,herc,nco} [-h] Select one of the portfolio optimization models\noptional arguments: -m {maxsharpe,minrisk,maxutil,maxret,maxdiv,maxdecorr,ef,riskparity,relriskparity,hrp,herc,nco}, --model {maxsharpe,minrisk,maxutil,maxret,maxdiv,maxdecorr,ef,riskparity,relriskparity,hrp,herc,nco} Frequency used to calculate returns (default: None) -h, --help show this help message (default: False) Example:\n2022 May 02, 05:51 (🦋) /portfolio/po/params/ $ set maxdecorr 2022 May 02, 05:52 (🦋) /portfolio/po/params/ $ ? ╭──────────────────────────────────────────────────────────────────────────────────────────── Portfolio - Portfolio Optimization - Parameters ────────────────────────────────────────────────────────────────────────────────────────────╮ │ │ │ Portfolio Risk Parameters (.ini or .xlsx) │ │ │ │ Loaded file: OpenBB_Parameters_Template v1.0.0.xlsx │ │ │ │ file load portfolio risk parameters │ │ save save portfolio risk parameters to specified file │ │ │ │ Model of interest: maxdecorr │ │ │ │ clear clear model of interest from filtered parameters │ │ set set model of interest to filter parameters │ │ arg set a different value for an argument │ │ │ │ Parameters: │ │ historic_period : 3y │ │ log_returns : 0 │ │ return_frequency : d │ │ max_nan : 0.05 │ │ threshold_value : 0.3 │ │ nan_fill_method : time │ │ risk_free : 0.003 │ │ significance_level : 0.05 │ │ covariance : hist │ │ long_allocation : 1 │ │ │ ╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── OpenBB Terminal ─╯ "},{"id":505,"href":"/OpenBBTerminal/terminal/portfolio/po/plot/","title":"Plot","parent":"Introduction to Portfolio Optimization","content":"usage: plot [-pf PORTFOLIOS] [-ct CATEGORIES] [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-pi] [-hi] [-dd] [-rc] [-he] [-h] Plot selected charts for portfolios\noptional arguments: -pf PORTFOLIOS, --portfolios PORTFOLIOS Selected portfolios that will be plotted (default: []) -ct CATEGORIES, --categories CATEGORIES Show selected categories (default: []) -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD} Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -pi, --pie Display a pie chart for weights (default: False) -hi, --hist Display a histogram with risk measures (default: False) -dd, --drawdown Display a drawdown chart with risk measures (default: False) -rc, --rc-chart Display a risk contribution chart for assets (default: False) -he, --heat Display a heatmap of correlation matrix with dendrogram (default: False) -h, --help show this help message (default: False) Example:\n2022 Apr 26, 02:19 (🦋) /portfolio/po/ $ plot -pf maxsharpe_0 -pi -hi -dd -rc -he "},{"id":506,"href":"/OpenBBTerminal/terminal/portfolio/po/property/","title":"Property","parent":"Introduction to Portfolio Optimization","content":"usage: property [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-pr {previousClose,regularMarketOpen,twoHundredDayAverage,trailingAnnualDividendYield,payoutRatio,volume24Hr,regularMarketDayHigh,navPrice,averageDailyVolume10Day,totalAssets,regularMarketPreviousClose,fiftyDayAverage,trailingAnnualDividendRate,open,toCurrency,averageVolume10days,expireDate,yield,algorithm,dividendRate,exDividendDate,beta,circulatingSupply,regularMarketDayLow,priceHint,currency,trailingPE,regularMarketVolume,lastMarket,maxSupply,openInterest,marketCap,volumeAllCurrencies,strikePrice,averageVolume,priceToSalesTrailing12Months,dayLow,ask,ytdReturn,askSize,volume,fiftyTwoWeekHigh,forwardPE,fromCurrency,fiveYearAvgDividendYield,fiftyTwoWeekLow,bid,dividendYield,bidSize,dayHigh,annualHoldingsTurnover,enterpriseToRevenue,beta3Year,profitMargins,enterpriseToEbitda,52WeekChange,morningStarRiskRating,forwardEps,revenueQuarterlyGrowth,sharesOutstanding,fundInceptionDate,annualReportExpenseRatio,bookValue,sharesShort,sharesPercentSharesOut,heldPercentInstitutions,netIncomeToCommon,trailingEps,lastDividendValue,SandP52WeekChange,priceToBook,heldPercentInsiders,shortRatio,sharesShortPreviousMonthDate,floatShares,enterpriseValue,fundFamily,threeYearAverageReturn,lastSplitFactor,legalType,lastDividendDate,morningStarOverallRating,earningsQuarterlyGrowth,pegRatio,lastCapGain,shortPercentOfFloat,sharesShortPriorMonth,impliedSharesOutstanding,fiveYearAverageReturn,regularMarketPrice}] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-v LONG_ALLOCATION] [--name NAME] [-h] Returns a portfolio that is weighted based on selected property.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -pr {previousClose,regularMarketOpen,twoHundredDayAverage,trailingAnnualDividendYield,payoutRatio,volume24Hr,regularMarketDayHigh,navPrice,averageDailyVolume10Day,totalAssets,regularMarketPreviousClose,fiftyDayAverage,trailingAnnualDividendRate,open,toCurrency,averageVolume10days,expireDate,yield,algorithm,dividendRate,exDividendDate,beta,circulatingSupply,regularMarketDayLow,priceHint,currency,trailingPE,regularMarketVolume,lastMarket,maxSupply,openInterest,marketCap,volumeAllCurrencies,strikePrice,averageVolume,priceToSalesTrailing12Months,dayLow,ask,ytdReturn,askSize,volume,fiftyTwoWeekHigh,forwardPE,fromCurrency,fiveYearAvgDividendYield,fiftyTwoWeekLow,bid,dividendYield,bidSize,dayHigh,annualHoldingsTurnover,enterpriseToRevenue,beta3Year,profitMargins,enterpriseToEbitda,52WeekChange,morningStarRiskRating,forwardEps,revenueQuarterlyGrowth,sharesOutstanding,fundInceptionDate,annualReportExpenseRatio,bookValue,sharesShort,sharesPercentSharesOut,heldPercentInstitutions,netIncomeToCommon,trailingEps,lastDividendValue,SandP52WeekChange,priceToBook,heldPercentInsiders,shortRatio,sharesShortPreviousMonthDate,floatShares,enterpriseValue,fundFamily,threeYearAverageReturn,lastSplitFactor,legalType,lastDividendDate,morningStarOverallRating,earningsQuarterlyGrowth,pegRatio,lastCapGain,shortPercentOfFloat,sharesShortPriorMonth,impliedSharesOutstanding,fiveYearAverageReturn,regularMarketPrice}, --property {previousClose,regularMarketOpen,twoHundredDayAverage,trailingAnnualDividendYield,payoutRatio,volume24Hr,regularMarketDayHigh,navPrice,averageDailyVolume10Day,totalAssets,regularMarketPreviousClose,fiftyDayAverage,trailingAnnualDividendRate,open,toCurrency,averageVolume10days,expireDate,yield,algorithm,dividendRate,exDividendDate,beta,circulatingSupply,regularMarketDayLow,priceHint,currency,trailingPE,regularMarketVolume,lastMarket,maxSupply,openInterest,marketCap,volumeAllCurrencies,strikePrice,averageVolume,priceToSalesTrailing12Months,dayLow,ask,ytdReturn,askSize,volume,fiftyTwoWeekHigh,forwardPE,fromCurrency,fiveYearAvgDividendYield,fiftyTwoWeekLow,bid,dividendYield,bidSize,dayHigh,annualHoldingsTurnover,enterpriseToRevenue,beta3Year,profitMargins,enterpriseToEbitda,52WeekChange,morningStarRiskRating,forwardEps,revenueQuarterlyGrowth,sharesOutstanding,fundInceptionDate,annualReportExpenseRatio,bookValue,sharesShort,sharesPercentSharesOut,heldPercentInstitutions,netIncomeToCommon,trailingEps,lastDividendValue,SandP52WeekChange,priceToBook,heldPercentInsiders,shortRatio,sharesShortPreviousMonthDate,floatShares,enterpriseValue,fundFamily,threeYearAverageReturn,lastSplitFactor,legalType,lastDividendDate,morningStarOverallRating,earningsQuarterlyGrowth,pegRatio,lastCapGain,shortPercentOfFloat,sharesShortPriorMonth,impliedSharesOutstanding,fiveYearAverageReturn,regularMarketPrice} Property info to weight. Use one of yfinance info options. (default: None) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,WR,ADD,UCI,CDaR,EDaR,MDD} Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'WR' : Worst Realization 'ADD' : Average Drawdown of uncompounded returns 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns 'MDD' : Maximum Drawdown of uncompounded returns (default: MV) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio (default: 1) --name NAME Save portfolio with personalized or default name (default: PROPERTY_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 15:02 (🦋) /portfolio/po/ $ property -pr trailingEps [3 Years] Weighted Portfolio based on trailingEps Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 6.36 % │ ├──────┼─────────┤ │ AMZN │ 68.58 % │ ├──────┼─────────┤ │ BA │ -7.56 % │ ├──────┼─────────┤ │ FB │ 14.57 % │ ├──────┼─────────┤ │ MSFT │ 9.93 % │ ├──────┼─────────┤ │ T │ 2.92 % │ ├──────┼─────────┤ │ TSLA │ 5.18 % │ └──────┴─────────┘ Annual (by 252) expected return: 33.74% Annual (by √252) volatility: 30.25% Sharpe ratio: 1.1094 "},{"id":507,"href":"/OpenBBTerminal/terminal/portfolio/po/relriskparity/","title":"Relriskparity","parent":"Introduction to Portfolio Optimization","content":"usage: relriskparity [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-ve {A,B,C}] [-rc RISK_CONTRIBUTION] [-pf PENAL_FACTOR] [-tr TARGET_RETURN] [-de SMOOTHING_FACTOR_EWMA] [-v LONG_ALLOCATION] [--name NAME] [-h] A relaxed risk parity optimization model controls the balance of risk parity violation against the total portfolio performance. Risk parity has been criticized as being overly conservative and it is improved by re-introducing the asset expected returns into the model and permitting the portfolio to violate the risk parity condition. The paper by Gambeta \u0026amp; Kwon (source) proposes the incorporation of an explicit target return goal with an intuitive target return approach into a second-order-cone model of a risk parity optimization. When the target return is greater than risk parity return, a violation to risk parity allocations occurs that is controlled using a computational construct to obtain near-risk parity portfolios to retain as much risk parity-like traits as possible. This model is used to demonstrate empirically that higher returns can be achieved than risk parity without the risk contributions deviating dramatically from the risk parity allocations. Furthermore, this study reveals that the relaxed risk parity model exhibits advantageous traits of robustness to expected returns, which should not deter the use of expected returns in risk parity model.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -ve {A,B,C}, --version {A,B,C} version of relaxed risk parity model: Possible values are: 'A': risk parity without regularization and penalization constraints 'B': with regularization constraint but without penalization constraint 'C': with regularization and penalization constraints (default: A) -rc RISK_CONTRIBUTION, --risk-cont RISK_CONTRIBUTION Vector of risk contribution constraints (default: None) -pf PENAL_FACTOR, --penal-factor PENAL_FACTOR The penalization factor of penalization constraints. Only used with version 'C'. (default: 1) -tr TARGET_RETURN, --target-return TARGET_RETURN Constraint on minimum level of portfolio's return (default: -1) -de SMOOTHING_FACTOR_EWMA, --d-ewma SMOOTHING_FACTOR_EWMA Smoothing factor for ewma estimators (default: 0.94) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio (default: 1) --name NAME Save portfolio with personalized or default name (default: RRP_0) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 14:08 (🦋) /portfolio/po/ $ relriskparity [3 Years] Relaxed risk parity portfolio based on least squares approach Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 13.42 % │ ├──────┼─────────┤ │ AMZN │ 16.51 % │ ├──────┼─────────┤ │ BA │ 10.18 % │ ├──────┼─────────┤ │ FB │ 12.83 % │ ├──────┼─────────┤ │ MSFT │ 14.36 % │ ├──────┼─────────┤ │ T │ 24.0 % │ ├──────┼─────────┤ │ TSLA │ 8.68 % │ └──────┴─────────┘ Annual (by 252) expected return: 28.99% Annual (by √252) volatility: 26.60% Sharpe ratio: 1.0899 "},{"id":508,"href":"/OpenBBTerminal/terminal/portfolio/po/riskparity/","title":"Riskparity","parent":"Introduction to Portfolio Optimization","content":"usage: riskparity [-p HISTORIC_PERIOD] [-s START_PERIOD] [-e END_PERIOD] [-lr] [-f {d,w,m}] [-mn MAX_NAN] [-th THRESHOLD_VALUE] [-mt NAN_FILL_METHOD] [-rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,CDaR,EDaR,UCI}] [-rc RISK_CONTRIBUTION] [-r RISK_FREE] [-a SIGNIFICANCE_LEVEL] [-tr TARGET_RETURN] [-de SMOOTHING_FACTOR_EWMA] [-v LONG_ALLOCATION] [--name NAME] [-h] Both the Minimum Variance and Maximum Diversification portfolios are mean-variance efficient under intuitive assumptions. Minimum Variance is efficient if assets have similar returns while Maximum Diversification is efficient if assets have similar Sharpe ratios. However, both methods have the drawback that they can be quite concentrated in a small number of assets. For example, the Minimum Variance portfolio will place disproportionate weight in the lowest volatility asset while the Maximum Diversification portfolio will concentrate in assets with high volatility and low covariance with the market. In fact, these optimizations may result in portfolios that hold just a small fraction of all available assets.\nThere are situations where this may not be preferable. Concentrated portfolios also may not accommodate large amounts of capital without high market impact costs. In addition, concentrated portfolios are more susceptible to mis-estimation of volatilities or correlations.\nThese issues prompted a search for heuristic optimizations that meet similar optimization objectives, but with less concentration. The equal weight and capitalization weighted portfolios are common examples of this, but there are other methods that are compelling under different assumptions.\nRisk parity was developed to remove the uncertainty of estimated returns and to protect against losses associated with portfolio concentration. In essence what this means is that you want to prevent allocation a significant portion to just a couple of assets because Minimum Variance and Maximum Diversification say this is the best allocation.\noptional arguments: -p HISTORIC_PERIOD, --period HISTORIC_PERIOD Period to get yfinance data from. Possible frequency strings are: 'd': means days, for example '252d' means 252 days 'w': means weeks, for example '52w' means 52 weeks 'mo': means months, for example '12mo' means 12 months 'y': means years, for example '1y' means 1 year 'ytd': downloads data from beginning of year to today 'max': downloads all data available for each asset (default: 3y) -s START_PERIOD, --start START_PERIOD Start date to get yfinance data from. Must be in 'YYYY-MM-DD' format (default: ) -e END_PERIOD, --end END_PERIOD End date to get yfinance data from. Must be in 'YYYY- MM-DD' format (default: ) -lr, --log-returns If use logarithmic or arithmetic returns to calculate returns (default: False) -f {d,w,m}, --freq {d,w,m} Frequency used to calculate returns. Possible values are: 'd': for daily returns 'w': for weekly returns 'm': for monthly returns (default: d) -mn MAX_NAN, --maxnan MAX_NAN Max percentage of nan values accepted per asset to be considered in the optimization process. (default: 0.05) -th THRESHOLD_VALUE, --threshold THRESHOLD_VALUE Value used to replace outliers that are higher to threshold in absolute value (default: 0.3) -mt NAN_FILL_METHOD, --method NAN_FILL_METHOD Method used to fill nan values in time series, by default time. Possible values are: 'linear': linear interpolation 'time': linear interpolation based on time index 'nearest': use nearest value to replace nan values 'zero': spline of zeroth order 'slinear': spline of first order 'quadratic': spline of second order 'cubic': spline of third order 'barycentric': builds a polynomial that pass for all points (default: time) -rm {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,CDaR,EDaR,UCI}, --risk-measure {MV,MAD,MSV,FLPM,SLPM,CVaR,EVaR,CDaR,EDaR,UCI} Risk measure used to optimize the portfolio. Possible values are: 'MV' : Variance 'MAD' : Mean Absolute Deviation 'MSV' : Semi Variance (Variance of negative returns) 'FLPM' : First Lower Partial Moment 'SLPM' : Second Lower Partial Moment 'CVaR' : Conditional Value at Risk 'EVaR' : Entropic Value at Risk 'UCI' : Ulcer Index of uncompounded returns 'CDaR' : Conditional Drawdown at Risk of uncompounded returns 'EDaR' : Entropic Drawdown at Risk of uncompounded returns (default: MV) -rc RISK_CONTRIBUTION, --risk-cont RISK_CONTRIBUTION vector of risk contribution constraint (default: None) -r RISK_FREE, --risk-free-rate RISK_FREE Risk-free rate of borrowing/lending. The period of the risk-free rate must be annual (default: 0.00329) -a SIGNIFICANCE_LEVEL, --alpha SIGNIFICANCE_LEVEL Significance level of CVaR, EVaR, CDaR and EDaR (default: 0.05) -tr TARGET_RETURN, --target-return TARGET_RETURN Constraint on minimum level of portfolio's return (default: -1) -de SMOOTHING_FACTOR_EWMA, --d-ewma SMOOTHING_FACTOR_EWMA Smoothing factor for ewma estimators (default: 0.94) -v LONG_ALLOCATION, --value LONG_ALLOCATION Amount to allocate to portfolio (default: 1) --name NAME Save portfolio with personalized or default name (default: RP_8) -h, --help show this help message (default: False) Example:\n2022 Apr 05, 14:45 (🦋) /portfolio/po/ $ riskparity [3 Years] Risk parity portfolio based on risk budgeting approach using volatility as risk measure Weights ┏━━━━━━┳━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━╇━━━━━━━━━┩ │ AAPL │ 13.42 % │ ├──────┼─────────┤ │ AMZN │ 16.51 % │ ├──────┼─────────┤ │ BA │ 10.18 % │ ├──────┼─────────┤ │ FB │ 12.83 % │ ├──────┼─────────┤ │ MSFT │ 14.36 % │ ├──────┼─────────┤ │ T │ 24.00 % │ ├──────┼─────────┤ │ TSLA │ 8.68 % │ └──────┴─────────┘ Annual (by 252) expected return: 28.99% Annual (by √252) volatility: 26.60% Sharpe ratio: 1.0829 "},{"id":509,"href":"/OpenBBTerminal/terminal/portfolio/po/rmv/","title":"Rmv","parent":"Introduction to Portfolio Optimization","content":"usage: rmv [-t RMV_TICKERS] [-h] Remove one of the tickers to be optimized.\noptional arguments: -t RMV_TICKERS, --tickers RMV_TICKERS tickers to be removed from the tickers to optimize. -h, --help show this help message "},{"id":510,"href":"/OpenBBTerminal/terminal/portfolio/po/rpf/","title":"Rpf","parent":"Introduction to Portfolio Optimization","content":"usage: rpf [-pf PORTFOLIOS] [-h] Remove one portfolio from saved portfolios.\noptional arguments: -pf PORTFOLIOS, --portfolios PORTFOLIOS portfolios to be removed from the saved portfolios -h, --help show this help message "},{"id":511,"href":"/OpenBBTerminal/terminal/portfolio/po/select/","title":"Select","parent":"Introduction to Portfolio Optimization","content":"usage: add/select [-t ADD_TICKERS] [-h] Add/Select tickers for portfolio to be optimized.\noptional arguments: -t ADD_TICKERS, --tickers ADD_TICKERS tickers to be used in the portfolio to optimize. -h, --help show this help message "},{"id":512,"href":"/OpenBBTerminal/terminal/portfolio/po/show/","title":"Show","parent":"Introduction to Portfolio Optimization","content":"usage: show [-pf PORTFOLIOS] [-ct CATEGORIES] [-h] Show selected saved portfolios\noptional arguments: -pf PORTFOLIOS, --portfolios PORTFOLIOS Show selected saved portfolios -ct CATEGORIES, --categories CATEGORIES Show selected categories -h, --help show this help message "},{"id":513,"href":"/OpenBBTerminal/terminal/portfolio/rbeta/","title":"Rbeta","parent":"Portfolio","content":"usage: rbeta [-p {3m,6m,1y,3y,5y,10y}] [-h] [--export EXPORT] Show rolling beta portfolio vs benchmark\noptional arguments: -p {3m,6m,1y,3y,5y,10y}, --period {3m,6m,1y,3y,5y,10y} Period to apply rolling window (default: 1y) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":514,"href":"/OpenBBTerminal/terminal/portfolio/rsharpe/","title":"Rsharpe","parent":"Portfolio","content":"usage: rsharpe [-p {3m,6m,1y,3y,5y,10y}] [-r RISK_FREE_RATE] [-h] [--export EXPORT] Show rolling sharpe portfolio vs benchmark\noptional arguments: -p {3m,6m,1y,3y,5y,10y}, --period {3m,6m,1y,3y,5y,10y} Period to apply rolling window (default: 1y) -r RISK_FREE_RATE, --rfr RISK_FREE_RATE Set risk free rate for calculations. (default: 0.0) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":515,"href":"/OpenBBTerminal/terminal/portfolio/rsort/","title":"Rsort","parent":"Portfolio","content":"usage: rsort [-p {3m,6m,1y,3y,5y,10y}] [-r RISK_FREE_RATE] [-h] [--export EXPORT] Show rolling sortino portfolio vs benchmark\noptional arguments: -p {3m,6m,1y,3y,5y,10y}, --period {3m,6m,1y,3y,5y,10y} Period to apply rolling window (default: 1y) -r RISK_FREE_RATE, --rfr RISK_FREE_RATE Set risk free rate for calculations. (default: 0.0) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":516,"href":"/OpenBBTerminal/terminal/portfolio/rvol/","title":"Rvol","parent":"Portfolio","content":"usage: rvol [-p {3m,6m,1y,3y,5y,10y}] [-h] [--export EXPORT] Show rolling volatility portfolio vs benchmark\noptional arguments: -p {3m,6m,1y,3y,5y,10y}, --period {3m,6m,1y,3y,5y,10y} Period to apply rolling window (default: 1y) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":517,"href":"/OpenBBTerminal/terminal/portfolio/show/","title":"Show","parent":"Portfolio","content":"usage: show Shows the active portfolio\nExample:s\n2022 May 13, 05:00 (🦋) /portfolio/ $ load Public_Equity_Orderbook.xlsx Portfolio: Public_Equity_Orderbook.xlsx Risk Free Rate: 0.00% 2022 May 13, 05:00 (🦋) /portfolio/ $ show ┏━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━━┓ ┃ Date ┃ Name ┃ Type ┃ Sector ┃ Industry ┃ Country ┃ Region ┃ Price ┃ Quantity ┃ Fees ┃ Premium ┃ Investment ┃ Side ┃ Currency ┃ ┡━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━━┩ │ 2010-05-03 │ CASH │ CASH │ CASH │ CASH │ CASH │ Unknown │ 60850.00 │ 1 │ 0 │ 0 │ 60850.00 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2010-05-03 │ GOOGL │ STOCK │ Communication Services │ Internet Content \u0026amp; Information │ United States │ North America │ 265.30 │ 2 │ 5 │ 6 │ 530.60 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2010-07-06 │ AMZN │ STOCK │ Technology │ Internet Retail │ United States │ North America │ 110.06 │ 5 │ 3 │ 3 │ 550.30 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2011-08-06 │ AAPL │ STOCK │ Technology │ Consumer Electronics │ United States │ North America │ 12.61 │ 3 │ 1 │ 0 │ 37.83 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2011-12-12 │ APTV │ STOCK │ Consumer Cyclical │ Auto Parts │ United States │ North America │ 18.02 │ 5 │ 0 │ 2 │ 90.10 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2012-02-03 │ ASML │ STOCK │ Technology │ Semiconductor Equipment \u0026amp; Materials │ Netherlands │ Europe │ 59.17 │ 7 │ 0 │ 4 │ 414.19 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2012-05-04 │ NKE │ STOCK │ Consumer Cyclical │ Footwear \u0026amp; Accessories │ Germany │ Europe │ 27.95 │ 3 │ 0 │ 0 │ 83.85 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2012-08-04 │ TSM │ STOCK │ Technology │ Semiconductors │ Taiwan │ Asia │ 14.24 │ 50 │ 0 │ 0 │ 712.00 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2012-10-12 │ DGX │ STOCK │ Healthcare │ Diagnostics \u0026amp; Research │ United States │ North America │ 63.39 │ 6 │ 10 │ 0 │ 380.34 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2013-02-03 │ YUM │ STOCK │ Consumer Cyclical │ Restaurants │ United States │ North America │ 45.98 │ 4 │ 10 │ 0 │ 183.92 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2013-03-04 │ GOOGL │ STOCK │ Communication Services │ Internet Content \u0026amp; Information │ United States │ North America │ 410.75 │ 1 │ 100 │ 2 │ 410.75 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2013-08-08 │ AMZN │ STOCK │ Technology │ Internet Retail │ United States │ North America │ 295.74 │ 1 │ 2 │ 3 │ 295.74 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2013-10-09 │ AAPL │ STOCK │ Technology │ Consumer Electronics │ United States │ North America │ 17.38 │ 5 │ 5 │ 5 │ 86.90 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2014-02-03 │ APTV │ STOCK │ Consumer Cyclical │ Auto Parts │ United States │ North America │ 49.53 │ 5 │ 4 │ 0 │ 247.65 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2014-02-05 │ ASML │ STOCK │ Technology │ Semiconductor Equipment \u0026amp; Materials │ Netherlands │ Europe │ 85.16 │ 3 │ 3 │ 0 │ 255.48 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2014-12-08 │ NKE │ STOCK │ Consumer Cyclical │ Footwear \u0026amp; Accessories │ Germany │ Europe │ 48.86 │ 10 │ 2 │ 0 │ 488.60 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2015-02-02 │ BABA │ STOCK │ Consumer Cyclical │ Internet Retail │ China │ Asia │ 90.13 │ 30 │ 1 │ 0 │ 2703.90 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2015-03-08 │ TSM │ STOCK │ Technology │ Semiconductors │ Taiwan │ Asia │ 23.45 │ 20 │ 6 │ 0 │ 469.00 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2015-12-05 │ DGX │ STOCK │ Healthcare │ Diagnostics \u0026amp; Research │ United States │ North America │ 68.83 │ 21 │ 2 │ 3 │ 1445.43 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2016-02-06 │ YUM │ STOCK │ Consumer Cyclical │ Restaurants │ United States │ North America │ 48.49 │ 2 │ 4 │ 1 │ 96.98 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2016-09-07 │ GOOGL │ STOCK │ Communication Services │ Internet Content \u0026amp; Information │ United States │ North America │ 807.99 │ 2 │ 0 │ 2 │ 1615.98 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2017-01-10 │ AMZN │ STOCK │ Technology │ Internet Retail │ United States │ North America │ 795.90 │ 2 │ 0 │ 0 │ 1591.80 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2017-05-10 │ AAPL │ STOCK │ Technology │ Consumer Electronics │ United States │ North America │ 38.32 │ 10 │ 0 │ 0 │ 383.20 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2017-12-08 │ APTV │ STOCK │ Consumer Cyclical │ Auto Parts │ United States │ North America │ 85.22 │ 10 │ 4 │ 0 │ 852.20 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2018-07-05 │ ASML │ STOCK │ Technology │ Semiconductor Equipment \u0026amp; Materials │ Netherlands │ Europe │ 195.99 │ 5 │ 2 │ 5 │ 979.95 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2018-09-03 │ NKE │ STOCK │ Consumer Cyclical │ Footwear \u0026amp; Accessories │ Germany │ Europe │ 79.60 │ 3 │ 2 │ 4 │ 238.80 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2019-05-04 │ BABA │ STOCK │ Consumer Cyclical │ Internet Retail │ China │ Asia │ 188.24 │ 5 │ 1 │ 2 │ 941.20 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2019-09-09 │ TSM │ STOCK │ Technology │ Semiconductors │ Taiwan │ Asia │ 43.85 │ 3 │ 6 │ 7 │ 131.55 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2019-12-10 │ DGX │ STOCK │ Healthcare │ Diagnostics \u0026amp; Research │ United States │ North America │ 104.94 │ 8 │ 1 │ 4 │ 839.52 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2020-02-03 │ YUM │ STOCK │ Consumer Cyclical │ Restaurants │ United States │ North America │ 106.41 │ 10 │ 10 │ 2 │ 1064.10 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2020-03-08 │ GOOGL │ STOCK │ Communication Services │ Internet Content \u0026amp; Information │ United States │ North America │ 1215.79 │ 3 │ 10 │ 2 │ 3647.37 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2020-06-09 │ AMZN │ STOCK │ Technology │ Internet Retail │ United States │ North America │ 2600.86 │ 2 │ 200 │ 20 │ 5201.72 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2020-12-12 │ AAPL │ STOCK │ Technology │ Consumer Electronics │ United States │ North America │ 121.78 │ 4 │ 10 │ 0 │ 487.12 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2021-01-07 │ APTV │ STOCK │ Consumer Cyclical │ Auto Parts │ United States │ North America │ 144.80 │ 20 │ 10 │ 6 │ 2896.00 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2021-05-06 │ ASML │ STOCK │ Technology │ Semiconductor Equipment \u0026amp; Materials │ Netherlands │ Europe │ 644.34 │ 30 │ 10 │ 3 │ 19330.20 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2021-12-28 │ NKE │ STOCK │ Consumer Cyclical │ Footwear \u0026amp; Accessories │ Germany │ Europe │ 166.42 │ 13 │ 20 │ 3 │ 2163.46 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2022-02-02 │ BABA │ STOCK │ Consumer Cyclical │ Internet Retail │ China │ Asia │ 122.88 │ 30 │ 0 │ 1 │ 3686.40 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2022-03-04 │ TSM │ STOCK │ Technology │ Semiconductors │ Taiwan │ Asia │ 105.06 │ 30 │ 0 │ 2 │ 3151.80 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2022-04-12 │ DGX │ STOCK │ Healthcare │ Diagnostics \u0026amp; Research │ United States │ North America │ 137.27 │ 10 │ 30 │ 1 │ 1372.70 │ 1 │ USD │ ├────────────┼───────┼───────┼────────────────────────┼─────────────────────────────────────┼───────────────┼───────────────┼──────────┼──────────┼──────┼─────────┼────────────┼──────┼──────────┤ │ 2022-05-02 │ YUM │ STOCK │ Consumer Cyclical │ Restaurants │ United States │ North America │ 115.76 │ 11 │ 40 │ 0 │ 1273.36 │ 1 │ USD │ └────────────┴───────┴───────┴────────────────────────┴─────────────────────────────────────┴───────────────┴───────────────┴──────────┴──────────┴──────┴─────────┴────────────┴──────┴──────────┘ "},{"id":518,"href":"/OpenBBTerminal/terminal/portfolio/summary/","title":"Summary","parent":"Portfolio","content":"usage: summary [-p {mtd,qtd,ytd,3m,6m,1y,3y,5y,10y,all}] [-r RISK_FREE_RATE] [-h] [--export EXPORT] Display summary of portfolio vs benchmark\noptional arguments: -p {mtd,qtd,ytd,3m,6m,1y,3y,5y,10y,all}, --period {mtd,qtd,ytd,3m,6m,1y,3y,5y,10y,all} The file to be loaded (default: all) -r RISK_FREE_RATE, --rfr RISK_FREE_RATE Set risk free rate for calculations. (default: 0.0) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) Summary of Portfolio vs Benchmark for all period ┏━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ ┃ Portfolio ┃ Benchmark ┃ ┡━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━┩ │ Volatility │ 0.01 │ 0.01 │ ├───────────────────┼───────────┼───────────┤ │ Skew │ -0.40 │ -0.58 │ ├───────────────────┼───────────┼───────────┤ │ Kurtosis │ 16.45 │ 12.31 │ ├───────────────────┼───────────┼───────────┤ │ Maximum Drawdowwn │ -0.34 │ -0.34 │ ├───────────────────┼───────────┼───────────┤ │ Sharpe ratio │ 0.02 │ 0.05 │ ├───────────────────┼───────────┼───────────┤ │ Sortino ratio │ 0.03 │ 0.06 │ ├───────────────────┼───────────┼───────────┤ │ R2 Score │ -0.81 │ -0.81 │ └───────────────────┴───────────┴───────────┘ "},{"id":519,"href":"/OpenBBTerminal/terminal/portfolio/var/","title":"Var","parent":"Portfolio","content":"usage: var [-m] [-a] [-s] [-p PERCENTILE] [-h] Provides value at risk (short: VaR) of the selected portfolio.\noptional arguments: -m, --mean If one should use the mean of the portfolio return (default: False) -a, --adjusted If the VaR should be adjusted for skew and kurtosis (Cornish-Fisher-Expansion) (default: False) -s, --student If one should use the student-t distribution (default: False) -p PERCENTILE, --percentile PERCENTILE Percentile used for VaR calculations, for example input 99.9 equals a 99.9 Percent VaR (default: 99.9) -h, --help show this help message (default: False) Example:\n2022 Feb 25, 03:09 (✨) /portfolio/ $ var Portfolio Value at Risk ┏━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ ┃ ┃ VaR: ┃ Historical VaR: ┃ ┡━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ │ 90.0% │ -0.0148 │ -0.0135 │ ├───────┼─────────┼─────────────────┤ │ 95.0% │ -0.0189 │ -0.0197 │ ├───────┼─────────┼─────────────────┤ │ 99.0% │ -0.0267 │ -0.0258 │ ├───────┼─────────┼─────────────────┤ │ 99.9% │ -0.0353 │ -0.0276 │ └───────┴─────────┴─────────────────┘ "},{"id":520,"href":"/OpenBBTerminal/terminal/portfolio/yret/","title":"Yret","parent":"Portfolio","content":"usage: yret [-p {3y,5y,10y,all}] [-h] [--export EXPORT] [--raw] End of the year returns\noptional arguments: -p {3y,5y,10y,all}, --period {3y,5y,10y,all} Period to select start end of the year returns (default: all) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) "},{"id":521,"href":"/OpenBBTerminal/terminal/stocks/backtesting/","title":"Backtesting","parent":"Introduction to Stocks","content":"Backtesting allows analysts to test and compare different trading strategies without risking any money. According to the hypothesis, if their strategy failed in the past, it is unlikely to succeed in the future (and vice versa). During testing, the total profitability and the level of risk taken are the two most important factors to consider.\nA backtest, on the other hand, examines a strategy\u0026rsquo;s performance in relation to a variety of variables. A successful backtest will show traders a technique that has previously produced positive outcomes. While the market never moves in the same way twice, backtesting is based on the notion that equities follow similar patterns in the past.\nAvailable commands: Ema Ema Cross Rsi Whatif "},{"id":522,"href":"/OpenBBTerminal/terminal/stocks/backtesting/ema/","title":"Ema","parent":"Backtesting","content":"usage: ema [-l LENGTH] [--spy] [--no_bench] [-h] [--export {csv,json,xlsx}] A simple investment strategy where stock is bought when Price \u0026gt; EMA(l)\noptional arguments: -l LENGTH EMA period to consider (default: 20) --spy Flag to add spy hold comparison (default: False) --no_bench Flag to not show buy and hold comparison (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 09:59 (✨) /stocks/bt/ $ ema Stat AboveEMA MSFT Hold ------------------- ---------- ----------- Start 2019-02-10 2019-02-10 End 2022-02-15 2022-02-15 Risk-free rate 0.00% 0.00% Total Return 53.12% 195.22% Daily Sharpe 0.83 1.33 Daily Sortino 1.32 2.17 CAGR 15.18% 43.21% Max Drawdown -18.91% -28.04% Calmar Ratio 0.80 1.54 MTD -7.29% -3.38% 3m -15.90% -10.43% 6m -6.26% 2.99% YTD -9.30% -10.66% 1Y 0.12% 23.67% 3Y (ann.) 15.26% 42.12% 5Y (ann.) - - 10Y (ann.) - - Since Incep. (ann.) 15.18% 43.21% Daily Sharpe 0.83 1.33 Daily Sortino 1.32 2.17 Daily Mean (ann.) 15.98% 40.51% Daily Vol (ann.) 19.35% 30.43% Daily Skew 0.05 -0.13 Daily Kurt 5.04 10.90 Best Day 7.44% 14.22% Worst Day -6.19% -14.74% Monthly Sharpe 0.77 1.77 Monthly Sortino 1.71 4.66 Monthly Mean (ann.) 16.49% 36.33% Monthly Vol (ann.) 21.45% 20.53% Monthly Skew 0.08 0.21 Monthly Kurt -1.20 -0.14 Best Month 11.83% 17.63% Worst Month -9.55% -7.53% Yearly Sharpe 0.62 0.83 Yearly Sortino 2.29 4.57 Yearly Mean 12.32% 28.12% Yearly Vol 19.76% 33.95% Yearly Skew -0.98 -1.57 Yearly Kurt - - Best Year 29.43% 52.48% Worst Year -9.30% -10.66% Avg. Drawdown -4.56% -2.78% Avg. Drawdown Days 37.27 14.27 Avg. Up Month 6.15% 5.77% Avg. Down Month -4.59% -4.11% Win Year % 66.67% 66.67% Win 12m % 92.31% 100.00% "},{"id":523,"href":"/OpenBBTerminal/terminal/stocks/backtesting/ema_cross/","title":"Ema Cross","parent":"Backtesting","content":"usage: ema_cross [-l LONG] [-s SHORT] [--spy] [--no_bench] [--no_short] [-h] [--export {csv,json,xlsx}] Cross between a long and a short Exponential Moving Average.\noptional arguments: -l LONG, --long LONG Long EMA period (default: 50) -s SHORT, --short SHORT Short EMA period (default: 20) --spy Flag to add spy hold comparison (default: False) --no_bench Flag to not show buy and hold comparison (default: False) --no_short Flag that disables the short sell (default: True) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 10:01 (✨) /stocks/bt/ $ ema_cross --spy "},{"id":524,"href":"/OpenBBTerminal/terminal/stocks/backtesting/rsi/","title":"Rsi","parent":"Backtesting","content":"usage: rsi [-p PERIODS] [-u HIGH] [-l LOW] [--spy] [--no_bench] [--no_short] [-h] [--export {csv,json,xlsx}] Strategy that buys when the stock is less than a threshold and shorts when it exceeds a threshold.\noptional arguments: -p PERIODS, --periods PERIODS Number of periods for RSI calculation (default: 14) -u HIGH, --high HIGH High (upper) RSI Level (default: 70) -l LOW, --low LOW Low RSI Level (default: 30) --spy Flag to add spy hold comparison (default: False) --no_bench Flag to not show buy and hold comparison (default: False) --no_short Flag that disables the short sell (default: True) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":525,"href":"/OpenBBTerminal/terminal/stocks/backtesting/whatif/","title":"Whatif","parent":"Backtesting","content":"usage: whatif [-d DATE_SHARES_ACQUIRED] [-n NUM_SHARES_ACQUIRED] [-h] Displays what if scenario of having bought X shares at date Y\noptional arguments: -d DATE_SHARES_ACQUIRED, --date DATE_SHARES_ACQUIRED Date at which the shares were acquired (default: None) -n NUM_SHARES_ACQUIRED, --number NUM_SHARES_ACQUIRED Number of shares acquired (default: 1.0) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 10:05 (✨) /stocks/bt/ $ whatif -d 2020-01-01 -n 100 If you had acquired 100 shares of MSFT on 2020-01-01 with a cost of 15761.51. These would be worth 29462.01. Which represents an increase of 86.92%. 2022 Feb 16, 10:05 (✨) /stocks/bt/ $ whatif -d 2010-01-01 -n 100 If you had acquired 100 shares of MSFT on 2010-01-01 with a cost of 2390.50. These would be worth 29444.00. Which represents an increase of 1131.71%. 2022 Feb 16, 10:05 (✨) /stocks/bt/ $ whatif -d 2000-01-01 -n 100 If you had acquired 100 shares of MSFT on 2000-01-01 with a cost of 3679.42. These would be worth 29450.00. Which represents an increase of 700.40%. 2022 Feb 16, 10:05 (✨) /stocks/bt/ $ "},{"id":526,"href":"/OpenBBTerminal/terminal/stocks/candle/","title":"Candle","parent":"Introduction to Stocks","content":"usage: candle [-m] [--export {csv,json,xlsx}] [--sort {AdjClose,Open,Close,High,Low,Volume,Returns,LogRet}] [-d] [--raw] [-n NUM] [-h] Shows historic data for the loaded ticker in an interactive chart that loads in a web browser. Static charts are also available through the optional \u0026lsquo;-m\u0026rsquo; argument. There is also the ability to retrieve and sort raw data sets based on the intraday interval and date window selected through the load command.\noptional arguments: -m, --matplotlib Flag to show matplotlib instead of interactive plot using plotly. (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) --sort {AdjClose,Open,Close,High,Low,Volume,Returns,LogRet} Choose a column to sort by (default: ) -d, --descending Sort selected column descending (default: True) --raw Shows raw data instead of chart (default: False) -n NUM, --num NUM Number to show if raw selected (default: 20) -h, --help show this help message (default: False) "},{"id":527,"href":"/OpenBBTerminal/terminal/stocks/codes/","title":"Codes","parent":"Introduction to Stocks","content":"usage: codes [-h] Show CIK, FIGI and SCI code from polygon for loaded ticker.\noptions: -h, --help show this help message (default: False) Sample usage:\n2022 May 03, 08:35 (🦋) /stocks/ $ codes AAPL Codes ┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ ┃ ┃ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ CIK │ 0000320193 │ ├──────────────────┼──────────────┤ │ COMPOSITE FIGI │ BBG000B9XRY4 │ ├──────────────────┼──────────────┤ │ SHARE CLASS FIGI │ BBG001S5N8V8 │ ├──────────────────┼──────────────┤ │ SIC CODE │ 3571 │ └──────────────────┴──────────────┘ "},{"id":528,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/add/","title":"Add","parent":"Introduction to Comparison Analysis","content":"usage: add [-s L_SIMILAR] [-h] Add tickers to compare against the loaded stock. Add multiple tickers with a comma-separated list.\noptional arguments: -s L_SIMILAR, --similar L_SIMILAR similar companies to compare with. (default: []) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:33 (✨) /stocks/ca/ $ add AAPL [Custom] Similar Companies: AAPL, TSLA 2022 Feb 15, 08:33 (✨) /stocks/ca/ $ "},{"id":529,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/balance/","title":"Balance","parent":"Introduction to Comparison Analysis","content":"usage: balance [-s L_SIMILAR] [-a L_ALSO] [-t 31-Dec-2020/2017] [-q] Prints either yearly or quarterly balance statement the company, and compares it against similar companies.\noptional arguments: -q, --quarter Quarter financial data flag. (default: False) -t S_TIMEFRAME, --timeframe S_TIMEFRAME Specify yearly/quarterly timeframe. Default is last. (default: None) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 15, 08:35 (✨) /stocks/ca/ $ balance Other available yearly timeframes are: 2017, 2018, 2019, 2020, 2021 Company Comparison ┌──────────────────────────────────────┬─────────┬────────┬─────────┐ │ │ AAPL │ TSLA │ MSFT │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Cash \u0026amp; Short Term Investments │ 62.64B │ 18.05B │ 130.33B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Cash \u0026amp; Short Term Investments Growth │ -31.15% │ -8.00% │ -4.54% │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Cash Only │ 26.91B │ 17.92B │ 14.22B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Short-Term Investments │ 35.73B │ 131M │ 116.11B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Cash \u0026amp; ST Investments / Total Assets │ 17.85% │ 29.05% │ 39.05% │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Total Accounts Receivable │ 51.51B │ 1.91B │ 38.04B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Total Accounts Receivable Growth │ 37.55% │ 1.43% │ 18.84% │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Accounts Receivables, Net │ 26.28B │ 1.91B │ 38.04B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Accounts Receivables, Gross │ 26.28B │ 1.91B │ 38.79B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Bad Debt/Doubtful Accounts │ - │ - │ (751M) │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Other Receivable │ 25.23B │ - │ - │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Accounts Receivable Turnover │ 7.10 │ 28.14 │ 4.42 │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Inventories │ 6.58B │ 5.76B │ 2.64B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Finished Goods │ 6.58B │ 1.28B │ 1.37B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Work in Progress │ - │ 1.09B │ 79M │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Raw Materials │ - │ 3.39B │ 1.19B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Progress Payments \u0026amp; Other │ - │ - │ - │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Other Current Assets │ 14.11B │ 1.38B │ 13.39B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Miscellaneous Current Assets │ 14.11B │ 1.38B │ 13.39B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Total Current Assets │ 134.84B │ 27.1B │ 184.41B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Net Property, Plant \u0026amp; Equipment │ 49.53B │ 31.18B │ 70.8B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Property, Plant \u0026amp; Equipment - Gross │ 119.81B │ 39.87B │ 122.15B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Buildings │ 20.04B │ 4.68B │ 43.93B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Land \u0026amp; Improvements │ - │ - │ 3.66B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Computer Software and Equipment │ - │ 1.41B │ 51.25B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Other Property, Plant \u0026amp; Equipment │ 11.02B │ 18.73B │ 12.23B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Accumulated Depreciation │ 70.28B │ 8.69B │ 51.35B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Total Investments and Advances │ 127.88B │ 223M │ 6.03B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Other Long-Term Investments │ 127.88B │ 223M │ 6.03B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Long-Term Note Receivables │ - │ 299M │ 3.4B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Intangible Assets │ - │ 1.72B │ 57.51B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Net Goodwill │ - │ 200M │ 49.71B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Net Other Intangibles │ - │ - │ 7.8B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Other Assets │ 38.76B │ 1.62B │ 4.45B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Total Assets │ 351B │ 62.13B │ 333.78B │ ├──────────────────────────────────────┼─────────┼────────┼─────────┤ │ Total Assets Growth │ 8.37% │ 19.14% │ 10.78% │ └──────────────────────────────────────┴─────────┴────────┴─────────┘ "},{"id":530,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/cashflow/","title":"Cashflow","parent":"Introduction to Comparison Analysis","content":"usage: cashflow [-q] [-t S_TIMEFRAME] [--export {csv,json,xlsx}] [-h] Compares the cashflow statements of the selected companies.\noptional arguments: -q, --quarter Quarter financial data flag. (default: False) -t S_TIMEFRAME, --timeframe S_TIMEFRAME Specify yearly/quarterly timeframe. Default is last. (default: None) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:35 (✨) /stocks/ca/ $ cashflow Other available yearly timeframes are: 2017, 2018, 2019, 2020, 2021 Cashflow Comparison ┌────────────────────────────────────────┬──────────┬─────────┬─────────┐ │ │ AAPL │ TSLA │ MSFT │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Net Income before Extraordinaries │ 94.68B │ 5.64B │ 61.27B │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Net Income Growth │ 64.92% │ 554.76% │ 38.37% │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Depreciation, Depletion \u0026amp; Amortization │ 11.28B │ 2.91B │ 10.9B │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Depreciation and Depletion │ 11.28B │ 1.91B │ 9.3B │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Amortization of Intangible Assets │ - │ 1B │ 1.6B │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Deferred Taxes \u0026amp; Investment Tax Credit │ (4.77B) │ - │ (150M) │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Deferred Taxes │ (4.77B) │ - │ (150M) │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Investment Tax Credit │ - │ - │ - │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Other Funds │ 7.76B │ 2.42B │ 5.66B │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Funds from Operations │ 108.95B │ 10.98B │ 77.68B │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Extraordinaries │ - │ - │ - │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Changes in Working Capital │ (4.91B) │ 518M │ (936M) │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Receivables │ (14.03B) │ (130M) │ (6.48B) │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Accounts Payable │ 12.33B │ 4.58B │ 2.8B │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Other Assets/Liabilities │ (567M) │ (2.22B) │ 5.79B │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Net Operating Cash Flow │ 104.04B │ 11.5B │ 76.74B │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Net Operating Cash Flow Growth │ 28.96% │ 93.45% │ 26.48% │ ├────────────────────────────────────────┼──────────┼─────────┼─────────┤ │ Net Operating Cash Flow / Sales │ 28.44% │ 21.36% │ 45.65% │ └────────────────────────────────────────┴──────────┴─────────┴─────────┘ "},{"id":531,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/financial/","title":"Financial","parent":"Introduction to Comparison Analysis","content":"usage: financial [--export {csv,json,xlsx}] [-h] Shows stock data comparing the returns, margins, and prices of the added companies. Source: https://finviz.com\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:36 (✨) /stocks/ca/ $ financial Stock Screener ┌────────┬──────────────────┬──────────┬──────┬──────┬──────┬────────┬─────────┬───────────┬─────────┬─────────┬────────┬──────────┬──────────┬────────┬────────┬─────────────┐ │ Ticker │ Market Cap │ Dividend │ ROA │ ROE │ ROI │ Curr R │ Quick R │ LTDebt/Eq │ Debt/Eq │ Gross M │ Oper M │ Profit M │ Earnings │ Price │ Change │ Volume │ ├────────┼──────────────────┼──────────┼──────┼──────┼──────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼────────┼────────┼─────────────┤ │ AAPL │ 2812900000000.00 │ 0.01 │ 0.29 │ 1.50 │ 0.50 │ 1.00 │ 1.00 │ 1.48 │ 1.71 │ 0.43 │ 0.31 │ 0.27 │ Jan 27/a │ 168.88 │ 0.00 │ 86185528.00 │ ├────────┼──────────────────┼──────────┼──────┼──────┼──────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼────────┼────────┼─────────────┤ │ MSFT │ 2266600000000.00 │ 0.01 │ 0.22 │ 0.48 │ 0.28 │ 2.20 │ 2.20 │ 0.38 │ 0.42 │ 0.69 │ 0.42 │ 0.39 │ Jan 25/a │ 295.00 │ -0.00 │ 36359488.00 │ ├────────┼──────────────────┼──────────┼──────┼──────┼──────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼────────┼────────┼─────────────┤ │ TSLA │ 879490000000.00 │ None │ 0.10 │ 0.21 │ 0.16 │ 1.40 │ 1.10 │ 0.17 │ 0.23 │ 0.25 │ 0.12 │ 0.10 │ Jan 26/a │ 875.76 │ 0.02 │ 22585472.00 │ └────────┴──────────────────┴──────────┴──────┴──────┴──────┴────────┴─────────┴───────────┴─────────┴─────────┴────────┴──────────┴──────────┴────────┴────────┴─────────────┘ "},{"id":532,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/getfinnhub/","title":"Getfinnhub","parent":"Introduction to Comparison Analysis","content":"usage: getfinnhub [-h] Automatically find and add similar companies with the Finnhub API.\noptional arguments: -h, --help show this help message (default: False) "},{"id":533,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/getfinviz/","title":"Getfinviz","parent":"Introduction to Comparison Analysis","content":"usage: getfinviz [--nocountry] [-h] Get similar companies to compare from Finviz\noptional arguments: --nocountry Similar stocks from finviz using only Industry and Sector. (default: False) -h, --help show this help message (default: False) "},{"id":534,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/getpoly/","title":"Getpoly","parent":"Introduction to Comparison Analysis","content":"usage: getpoly [-h] Use the Polygon API to automatically source and add similar companies.\noptional arguments: -h, --help show this help message (default: False) "},{"id":535,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/hcorr/","title":"Hcorr","parent":"Introduction to Comparison Analysis","content":"usage: hcorr [-t {o,h,l,c,a}] [-s START] [-h] A correlation heatmap for the selected tickers, using optional arguments described below. Scores range from +1 to -1 with 0 being completely neutral.\noptional arguments: -t {o,h,l,c,a,r}, --type {o,h,l,c,a,r} Candle data to use: o-open, h-high, l-low, c-close, a-adjusted close, r-returns. (default: a) -s START, --start START The starting date (format YYYY-MM-DD) of the stock (default: 2021-06-08) --display-full-matrix Display all matrix values, rather than masking off half. (default: False) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) "},{"id":536,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/historical/","title":"Historical","parent":"Introduction to Comparison Analysis","content":"usage: historical [-t {o,h,l,c,a}] [-n] [-s START] [-h] [--export EXPORT] Historical price comparison between similar companies.\noptional arguments: -t {o,h,l,c,a}, --type {o,h,l,c,a} Candle data to use: o-open, h-high, l-low, c-close, a-adjusted close. (default: a) -n, --normalize Flag to normalize all prices on same 0-1 scale (default: False) -s START, --start START The starting date (format YYYY-MM-DD) of the stock (default: 2021-03-23) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":537,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/income/","title":"Income","parent":"Introduction to Comparison Analysis","content":"usage: income [-q] [-t S_TIMEFRAME] [--export {csv,json,xlsx}] [-h] Compares detailed income statements from the chosen stocks.\noptional arguments: -q, --quarter Quarter financial data flag. (default: False) -t S_TIMEFRAME, --timeframe S_TIMEFRAME Specify yearly/quarterly timeframe. Default is last. (default: None) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:39 (✨) /stocks/ca/ $ historical 2022 Feb 15, 08:39 (✨) /stocks/ca/ $ income Other available yearly timeframes are: 2017, 2018, 2019, 2020, 2021 Income Data ┌───────────────────────────────────────────┬─────────┬─────────┬─────────┬─────────┐ │ │ AAPL │ GOOGL │ TSLA │ MSFT │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Sales/Revenue │ 365.82B │ 257.49B │ 53.82B │ 168.09B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Sales Growth │ 33.44% │ 41.21% │ 70.67% │ 17.53% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Cost of Goods Sold (COGS) incl. D\u0026amp;A │ 212.98B │ 110.94B │ 40.22B │ 52.23B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ COGS Growth │ 25.18% │ 30.93% │ 61.48% │ 13.36% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ COGS excluding D\u0026amp;A │ 201.7B │ 98.5B │ 37.31B │ 41.33B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Depreciation \u0026amp; Amortization Expense │ 11.28B │ 12.44B │ 2.91B │ 10.9B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Depreciation │ 11.28B │ 11.56B │ 1.91B │ 9.3B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Amortization of Intangibles │ - │ 886M │ 1B │ 1.6B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Gross Income │ 152.84B │ 146.55B │ 13.61B │ 115.86B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Gross Income Growth │ 46.95% │ 50.12% │ 105.22% │ 19.52% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Gross Profit Margin │ 41.78% │ 56.91% │ 25.28% │ 68.93% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ SG\u0026amp;A Expense │ 43.89B │ 67.98B │ 7.11B │ 45.94B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ SGA Growth │ 13.50% │ 20.17% │ 53.36% │ 4.46% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Research \u0026amp; Development │ 21.91B │ 31.56B │ 2.59B │ 20.72B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Other SG\u0026amp;A │ 21.97B │ - │ - │ 25.22B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Other Operating Expense │ - │ - │ - │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Unusual Expense │ - │ (10.4B) │ (40M) │ (1.04B) │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ EBIT after Unusual Expense │ - │ 88.96B │ 6.54B │ 70.96B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Non Operating Income/Expense │ 60M │ 284M │ 122M │ 357M │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Non-Operating Interest Income │ 2.84B │ 1.5B │ 56M │ 2.13B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Equity in Affiliates (Pretax) │ - │ 334M │ - │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Interest Expense │ 2.65B │ 346M │ 371M │ 2.35B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Interest Expense Growth │ -7.94% │ 156.30% │ -50.40% │ -9.46% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Gross Interest Expense │ 2.65B │ 509M │ 424M │ 2.35B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Interest Capitalized │ - │ 163M │ 53M │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Pretax Income │ 109.21B │ 90.73B │ 6.34B │ 71.1B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Pretax Income Growth │ 62.77% │ 88.71% │ 449.65% │ 34.06% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Pretax Margin │ 29.85% │ 35.24% │ 11.78% │ 42.30% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Income Tax │ 14.53B │ 14.7B │ 699M │ 9.83B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Income Tax - Current Domestic │ 9.88B │ 10.13B │ 9M │ 4.51B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Income Tax - Current Foreign │ 9.42B │ 2.69B │ 839M │ 5.47B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Income Tax - Deferred Domestic │ (7.51B) │ 2.02B │ - │ (179M) │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Income Tax - Deferred Foreign │ 2.74B │ (135M) │ (149M) │ 29M │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Income Tax Credits │ - │ - │ - │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Equity in Affiliates │ - │ - │ - │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Other After Tax Income (Expense) │ - │ - │ 5M │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Consolidated Net Income │ 94.68B │ 76.03B │ 5.65B │ 61.27B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Minority Interest Expense │ - │ - │ 125M │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Net Income │ 94.68B │ 76.03B │ 5.52B │ 61.27B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Net Income Growth │ 64.92% │ 88.81% │ 700.58% │ 38.37% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Net Margin Growth │ 25.88% │ 29.53% │ 10.26% │ 36.45% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Extraordinaries \u0026amp; Discontinued Operations │ - │ - │ - │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Extra Items \u0026amp; Gain/Loss Sale Of Assets │ - │ - │ - │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Cumulative Effect - Accounting Chg │ - │ - │ - │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Discontinued Operations │ - │ - │ - │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Net Income After Extraordinaries │ 94.68B │ 76.03B │ 5.52B │ 61.27B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Preferred Dividends │ - │ - │ - │ - │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Net Income Available to Common │ 94.68B │ 76.03B │ 5.52B │ 61.27B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ EPS (Basic) │ 5.67 │ 113.88 │ 5.6 │ 8.12 │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ EPS (Basic) Growth │ 71.34% │ 79.48% │ 657.49% │ 39.52% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Basic Shares Outstanding │ 16.7B │ 667.65M │ 986M │ 7.55B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ EPS (Diluted) │ 5.61 │ 112.2 │ 4.89 │ 8.05 │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ EPS (Diluted) Growth │ 71.40% │ 91.42% │ 667.98% │ 39.73% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ Diluted Shares Outstanding │ 16.86B │ 677.67M │ 1.13B │ 7.61B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ EBITDA │ 120.23B │ 91.01B │ 9.41B │ 80.82B │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ EBITDA Growth │ 57.38% │ 66.24% │ 117.96% │ 23.84% │ ├───────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤ │ EBITDA Margin │ 32.87% │ 35.34% │ 17.48% │ 48.08% │ └───────────────────────────────────────────┴─────────┴─────────┴─────────┴─────────┘ "},{"id":538,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/overview/","title":"Overview","parent":"Introduction to Comparison Analysis","content":"usage: overview [--export {csv,json,xlsx}] [-h] Displays the broad overview for each company added. Source: https://finviz.com\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:41 (✨) /stocks/ca/ $ overview Stock Screener ┌────────┬───────────────────────┬────────────────────────┬────────────────────────────────┬─────────┬──────────────────┬────────┬─────────┬────────┬─────────────┐ │ Ticker │ Company │ Sector │ Industry │ Country │ Market Cap │ P/E │ Price │ Change │ Volume │ ├────────┼───────────────────────┼────────────────────────┼────────────────────────────────┼─────────┼──────────────────┼────────┼─────────┼────────┼─────────────┤ │ AAPL │ Apple Inc. │ Technology │ Consumer Electronics │ USA │ 2812900000000.00 │ 28.04 │ 168.88 │ 0.00 │ 86185528.00 │ ├────────┼───────────────────────┼────────────────────────┼────────────────────────────────┼─────────┼──────────────────┼────────┼─────────┼────────┼─────────────┤ │ GOOGL │ Alphabet Inc. │ Communication Services │ Internet Content \u0026amp; Information │ USA │ 1849330000000.00 │ 24.15 │ 2710.52 │ 0.01 │ 1715054.00 │ ├────────┼───────────────────────┼────────────────────────┼────────────────────────────────┼─────────┼──────────────────┼────────┼─────────┼────────┼─────────────┤ │ MSFT │ Microsoft Corporation │ Technology │ Software - Infrastructure │ USA │ 2266600000000.00 │ 31.39 │ 295.00 │ -0.00 │ 36359488.00 │ ├────────┼───────────────────────┼────────────────────────┼────────────────────────────────┼─────────┼──────────────────┼────────┼─────────┼────────┼─────────────┤ │ TSLA │ Tesla, Inc. │ Consumer Cyclical │ Auto Manufacturers │ USA │ 879490000000.00 │ 177.93 │ 875.76 │ 0.02 │ 22585472.00 │ └────────┴───────────────────────┴────────────────────────┴────────────────────────────────┴─────────┴──────────────────┴────────┴─────────┴────────┴─────────────┘ "},{"id":539,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/ownership/","title":"Ownership","parent":"Introduction to Comparison Analysis","content":"usage: ownership [--export {csv,json,xlsx}] [-h] Compare the outstanding shares, market cap, short interest and more. Source: https://finviz.com\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:41 (✨) /stocks/ca/ $ ownership Stock Screener ┌────────┬──────────────────┬────────────────┬────────────────┬─────────────┬───────────────┬──────────┬────────────┬─────────────┬─────────────┬──────────────┬─────────┬────────┬─────────────┐ │ Ticker │ Market Cap │ Outstanding │ Float │ Insider Own │ Insider Trans │ Inst Own │ Inst Trans │ Float Short │ Short Ratio │ Avg Volume │ Price │ Change │ Volume │ ├────────┼──────────────────┼────────────────┼────────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼─────────┼────────┼─────────────┤ │ AAPL │ 2812900000000.00 │ 16390000000.00 │ 16310000000.00 │ 0.00 │ -0.15 │ 0.59 │ 0.00 │ 0.01 │ 0.89 │ 102890000.00 │ 168.88 │ 0.00 │ 86185528.00 │ ├────────┼──────────────────┼────────────────┼────────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼─────────┼────────┼─────────────┤ │ GOOGL │ 1849330000000.00 │ 662660000.00 │ 615700000.00 │ 0.00 │ 0.00 │ 0.80 │ 0.00 │ 0.00 │ 1.22 │ 1810000.00 │ 2710.52 │ 0.01 │ 1715054.00 │ ├────────┼──────────────────┼────────────────┼────────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼─────────┼────────┼─────────────┤ │ MSFT │ 2266600000000.00 │ 7500000000.00 │ 7480000000.00 │ 0.00 │ -0.19 │ 0.72 │ 0.00 │ 0.01 │ 1.14 │ 35290000.00 │ 295.00 │ -0.00 │ 36359488.00 │ ├────────┼──────────────────┼────────────────┼────────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼─────────┼────────┼─────────────┤ │ TSLA │ 879490000000.00 │ 1000000000.00 │ 833120000.00 │ 0.00 │ -0.94 │ 0.41 │ -0.01 │ 0.03 │ 0.91 │ 26320000.00 │ 875.76 │ 0.02 │ 22585472.00 │ └────────┴──────────────────┴────────────────┴────────────────┴─────────────┴───────────────┴──────────┴────────────┴─────────────┴─────────────┴──────────────┴─────────┴────────┴─────────────┘ "},{"id":540,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/performance/","title":"Performance","parent":"Introduction to Comparison Analysis","content":"usage: performance [--export {csv,json,xlsx}] [-h] Compares the performance breakdown over time. Source: https://finviz.com\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:42 (✨) /stocks/ca/ $ performance Stock Screener ┌────────┬───────────┬────────────┬────────────┬───────────┬───────────┬──────────┬──────────────┬──────────────┬───────┬──────────────┬────────────┬─────────┬────────┬─────────────┐ │ Ticker │ Perf Week │ Perf Month │ Perf Quart │ Perf Half │ Perf Year │ Perf YTD │ Volatility W │ Volatility M │ Recom │ Avg Volume │ Rel Volume │ Price │ Change │ Volume │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼─────────┼────────┼─────────────┤ │ AAPL │ -0.02 │ -0.02 │ 0.13 │ 0.12 │ 0.27 │ -0.05 │ 0.02 │ 0.03 │ 1.80 │ 102890000.00 │ 0.84 │ 168.88 │ 0.00 │ 86185528.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼─────────┼────────┼─────────────┤ │ GOOGL │ -0.03 │ -0.02 │ -0.09 │ -0.02 │ 0.28 │ -0.06 │ 0.03 │ 0.03 │ 1.70 │ 1810000.00 │ 0.95 │ 2710.52 │ 0.01 │ 1715054.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼─────────┼────────┼─────────────┤ │ MSFT │ -0.02 │ -0.03 │ -0.12 │ 0.00 │ 0.21 │ -0.12 │ 0.02 │ 0.03 │ 1.60 │ 35290000.00 │ 1.03 │ 295.00 │ -0.00 │ 36359488.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼─────────┼────────┼─────────────┤ │ TSLA │ -0.03 │ -0.15 │ -0.15 │ 0.28 │ 0.10 │ -0.17 │ 0.05 │ 0.06 │ 2.60 │ 26320000.00 │ 0.85 │ 875.76 │ 0.02 │ 22585472.00 │ └────────┴───────────┴────────────┴────────────┴───────────┴───────────┴──────────┴──────────────┴──────────────┴───────┴──────────────┴────────────┴─────────┴────────┴─────────────┘ "},{"id":541,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/scorr/","title":"Scorr","parent":"Introduction to Comparison Analysis","content":"usage: sentiment_compare [-r] [--export {csv,json,xlsx}] [-h] FinBrain\u0026rsquo;s sentiment correlation across similar tickers.\noptional arguments: -r, --raw Display raw sentiment data (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":542,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/sentiment/","title":"Sentiment","parent":"Introduction to Comparison Analysis","content":"usage: sentiment_compare [-r] [--export {csv,json,xlsx}] [-h] FinBrain\u0026rsquo;s sentiment comparison across the selected tickers over time.\noptional arguments: -r, --raw Display raw sentiment data (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":543,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/technical/","title":"Technical","parent":"Introduction to Comparison Analysis","content":"usage: technical [--export {csv,json,xlsx}] [-h] Compares technical stock price data for the added companies. Source: https://finviz.com\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:44 (✨) /stocks/ca/ $ technical Stock Screener ┌────────┬──────┬───────┬───────┬───────┬────────┬──────────┬─────────┬───────┬─────────┬────────┬───────────┬───────┬─────────────┐ │ Ticker │ Beta │ ATR │ SMA20 │ SMA50 │ SMA200 │ 52W High │ 52W Low │ RSI │ Price │ Change │ from Open │ Gap │ Volume │ ├────────┼──────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼─────────┼────────┼───────────┼───────┼─────────────┤ │ AAPL │ 1.18 │ 4.29 │ -0.00 │ -0.02 │ 0.13 │ -0.08 │ 0.45 │ 46.89 │ 168.88 │ 0.00 │ 0.01 │ -0.01 │ 86185528.00 │ ├────────┼──────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼─────────┼────────┼───────────┼───────┼─────────────┤ │ GOOGL │ 1.07 │ 93.36 │ -0.01 │ -0.04 │ 0.00 │ -0.11 │ 0.36 │ 45.82 │ 2710.52 │ 0.01 │ 0.02 │ -0.01 │ 1715054.00 │ ├────────┼──────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼─────────┼────────┼───────────┼───────┼─────────────┤ │ MSFT │ 0.91 │ 9.40 │ -0.03 │ -0.07 │ -0.00 │ -0.16 │ 0.32 │ 40.63 │ 295.00 │ -0.00 │ 0.00 │ -0.00 │ 36359488.00 │ ├────────┼──────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼─────────┼────────┼───────────┼───────┼─────────────┤ │ TSLA │ 2.04 │ 57.00 │ -0.06 │ -0.12 │ 0.06 │ -0.30 │ 0.62 │ 41.26 │ 875.76 │ 0.02 │ 0.02 │ 0.00 │ 22585472.00 │ └────────┴──────┴───────┴───────┴───────┴────────┴──────────┴─────────┴───────┴─────────┴────────┴───────────┴───────┴─────────────┘ "},{"id":544,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/tsne/","title":"Tsne","parent":"Introduction to Comparison Analysis","content":"usage: tsne [-l LR] [-p] [-h] Get similar companies to compare with using sklearn TSNE.\noptional arguments: -r LR, --learnrate LR TSNE Learning rate. Typical values are between 50 and 200 (default: 200) -l LIMIT, --limit LIMIT Limit of stocks to retrieve. The subsample will occur randomly. (default: 10) -p, --no_plot -h, --help show this help message (default: False) "},{"id":545,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/valuation/","title":"Valuation","parent":"Introduction to Comparison Analysis","content":"usage: valuation [--export {csv,json,xlsx}] [-h] Shows the valuation comparisons between the chosen stocks.\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:46 (✨) /stocks/ca/ $ valuation Stock Screener ┌────────┬──────────────────┬───────┬─────────┬──────┬───────┬───────┬───────┬───────┬────────────┬────────────┬─────────────┬─────────────┬───────────────┬─────────┬────────┬─────────────┐ │ Ticker │ Market Cap │ P/E │ Fwd P/E │ PEG │ P/S │ P/B │ P/C │ P/FCF │ EPS this Y │ EPS next Y │ EPS past 5Y │ EPS next 5Y │ Sales past 5Y │ Price │ Change │ Volume │ ├────────┼──────────────────┼───────┼─────────┼──────┼───────┼───────┼───────┼───────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼─────────┼────────┼─────────────┤ │ AAPL │ 2812900000000.00 │ 28.04 │ 25.72 │ 1.89 │ 7.44 │ 38.47 │ 44.01 │ 32.23 │ 0.71 │ 0.07 │ 0.22 │ 0.15 │ 0.11 │ 168.88 │ 0.00 │ 86185528.00 │ ├────────┼──────────────────┼───────┼─────────┼──────┼───────┼───────┼───────┼───────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼─────────┼────────┼─────────────┤ │ AMZN │ 1637940000000.00 │ 47.95 │ 42.78 │ 1.38 │ 3.49 │ 11.43 │ 17.05 │ None │ 0.55 │ 0.51 │ 0.68 │ 0.35 │ 0.28 │ 3103.34 │ 0.01 │ 4161535.00 │ ├────────┼──────────────────┼───────┼─────────┼──────┼───────┼───────┼───────┼───────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼─────────┼────────┼─────────────┤ │ ANSS │ 28880000000.00 │ 59.65 │ 40.01 │ 5.33 │ 15.41 │ 6.38 │ 26.71 │ 48.76 │ -0.05 │ 0.10 │ 0.12 │ 0.11 │ 0.12 │ 317.12 │ -0.01 │ 393261.00 │ ├────────┼──────────────────┼───────┼─────────┼──────┼───────┼───────┼───────┼───────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼─────────┼────────┼─────────────┤ │ CDNS │ 41140000000.00 │ 57.27 │ 39.88 │ 3.15 │ 13.83 │ 14.75 │ 40.58 │ 43.78 │ -0.40 │ 0.13 │ 0.21 │ 0.18 │ 0.10 │ 142.08 │ -0.00 │ 1218681.00 │ ├────────┼──────────────────┼───────┼─────────┼──────┼───────┼───────┼───────┼───────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼─────────┼────────┼─────────────┤ │ GOOG │ 1857570000000.00 │ 26.07 │ 24.10 │ 1.24 │ 7.77 │ 7.35 │ None │ None │ 0.85 │ 0.04 │ None │ 0.21 │ None │ 2706.00 │ 0.01 │ 1339640.00 │ ├────────┼──────────────────┼───────┼─────────┼──────┼───────┼───────┼───────┼───────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼─────────┼────────┼─────────────┤ │ GOOGL │ 1849330000000.00 │ 24.15 │ 20.04 │ 1.15 │ 7.18 │ 7.14 │ 13.24 │ 27.60 │ 0.91 │ 0.17 │ 0.32 │ 0.21 │ 0.23 │ 2710.52 │ 0.01 │ 1715054.00 │ ├────────┼──────────────────┼───────┼─────────┼──────┼───────┼───────┼───────┼───────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼─────────┼────────┼─────────────┤ │ INTU │ 155900000000.00 │ 69.95 │ 38.73 │ 4.02 │ 15.11 │ 14.84 │ 47.97 │ 59.62 │ 0.09 │ 0.17 │ 0.20 │ 0.17 │ 0.15 │ 529.05 │ -0.01 │ 1165436.00 │ ├────────┼──────────────────┼───────┼─────────┼──────┼───────┼───────┼───────┼───────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼─────────┼────────┼─────────────┤ │ KEYS │ 31100000000.00 │ 34.69 │ 22.18 │ 2.89 │ 6.29 │ 8.11 │ 15.15 │ 27.09 │ 0.44 │ 0.08 │ 0.20 │ 0.12 │ 0.11 │ 165.93 │ 0.01 │ 1519015.00 │ ├────────┼──────────────────┼───────┼─────────┼──────┼───────┼───────┼───────┼───────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼─────────┼────────┼─────────────┤ │ MSFT │ 2266600000000.00 │ 31.39 │ 27.37 │ 1.80 │ 12.26 │ 13.84 │ 18.08 │ 52.23 │ 0.40 │ 0.15 │ 0.26 │ 0.17 │ 0.13 │ 295.00 │ -0.00 │ 36359488.00 │ ├────────┼──────────────────┼───────┼─────────┼──────┼───────┼───────┼───────┼───────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼─────────┼────────┼─────────────┤ │ SNPS │ 47690000000.00 │ 61.25 │ 32.70 │ 4.11 │ 11.34 │ 8.52 │ 30.17 │ 34.09 │ 0.13 │ 0.15 │ 0.23 │ 0.15 │ 0.12 │ 294.96 │ -0.00 │ 826559.00 │ ├────────┼──────────────────┼───────┼─────────┼──────┼───────┼───────┼───────┼───────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼─────────┼────────┼─────────────┤ │ VRSN │ 23560000000.00 │ 30.45 │ 29.60 │ 3.81 │ 17.74 │ None │ 19.65 │ 37.40 │ -0.02 │ 0.15 │ 0.20 │ 0.08 │ 0.04 │ 213.56 │ -0.00 │ 640475.00 │ └────────┴──────────────────┴───────┴─────────┴──────┴───────┴───────┴───────┴───────┴────────────┴────────────┴─────────────┴─────────────┴───────────────┴─────────┴────────┴─────────────┘ "},{"id":546,"href":"/OpenBBTerminal/terminal/stocks/comparison_analysis/volume/","title":"Volume","parent":"Introduction to Comparison Analysis","content":"usage: volume [-s] [--export {csv,json,xlsx}] [-h] Charts historical volume of the added tickers.\noptional arguments: -s, --scale Flag to not put all prices on same 0-1 scale (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":547,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/ctb/","title":"Ctb","parent":"Introduction to Dark Pools \u0026 Short Data","content":"usage: ctb [-n NUM] [--export {csv,json,xlsx}] [-h] Request a list of stocks that have the highest cost to borrow [Source: Interactive Broker]\noptional arguments: -n NUM, --num NUM Number of the stocks with high cost to borrow to retrieve. (default: 20) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file -h, --help show this help message (default: False) Example:\n2022 Apr 07, 09:47 (<28>) /stocks/dps/ $ ctb Highest Cost to Borrow ┌─────────┬───────────┬───────────┐ │ Symbol │ Fees │ Available │ ├─────────┼───────────┼───────────┤ │ PIK │ 457.4402% │ 7000 │ ├─────────┼───────────┼───────────┤ │ EVTL │ 413.7294% │ 10000 │ ├─────────┼───────────┼───────────┤ │ CELZ │ 330.9411% │ 100000 │ ├─────────┼───────────┼───────────┤ │ DRCT │ 304.9628% │ 300000 │ ├─────────┼───────────┼───────────┤ │ MYNZ │ 291.8163% │ 3000 │ ├─────────┼───────────┼───────────┤ │ DCFC │ 279.0673% │ 10000 │ ├─────────┼───────────┼───────────┤ │ FGFPP │ 278.422% │ 8000 │ ├─────────┼───────────┼───────────┤ │ ZTEK │ 250.0307% │ 75000 │ ├─────────┼───────────┼───────────┤ │ FRGE │ 245.1883% │ 700 │ ├─────────┼───────────┼───────────┤ │ SATL │ 240.7341% │ 500 │ ├─────────┼───────────┼───────────┤ │ ARMR │ 240.5414% │ 5000 │ ├─────────┼───────────┼───────────┤ │ PILL │ 223.538% │ 55000 │ ├─────────┼───────────┼───────────┤ │ ARQQ │ 217.3978% │ 3000 │ ├─────────┼───────────┼───────────┤ │ NRSN │ 216.9888% │ 6000 │ ├─────────┼───────────┼───────────┤ │ ZIONL │ 215.2871% │ 35000 │ ├─────────┼───────────┼───────────┤ │ BLBX │ 213.441% │ 15000 │ ├─────────┼───────────┼───────────┤ │ WINSF │ 212.907% │ 10000 │ ├─────────┼───────────┼───────────┤ │ SKYH │ 206.7746% │ 25000 │ ├─────────┼───────────┼───────────┤ │ SOHON │ 205.1096% │ 40000 │ ├─────────┼───────────┼───────────┤ │ MH PRA │ 202.1235% │ 100000 │ └─────────┴───────────┴───────────┘ "},{"id":548,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/dpotc/","title":"Dpotc","parent":"Introduction to Dark Pools \u0026 Short Data","content":"usage: dpotc [--export {csv,json,xlsx}] [-h] Dark Pool traffic is considered to be all orders executed off-exchange and does not fall under the direct oversight of the SEC, ceding disciplinary actions to the discretion of an industry self-regulating organization, FINRA. The ability to circumvent reporting obligations to the SEC is a major motivating factor in the use of Dark Pools. Discount Brokers typically execute orders through internalizers which are routed through OTC channels, avoiding execution on a public exchange entirely.\nWhile much of the OTC volume here can be classified as retail purchases through discount brokers, it is important to recognize that OTC transactions frequently happen in the form of block trades and exotic options/derivatives products, and many companies listed on the NASDAQ/NYSE also have dual listings on the OTCX market.\nAlternative Trading Systems (ATS) are off-exchange venues operated by firms with proprietary trading desks. This data is reported weekly and includes individual tickers, the weekly share volume, and the weekly number of total trades. The major advantage a broker/dealer/HF/HFT has over an individual investor is the direct access to live data feeds from the unlit order books held off-exchange.\nThe data released to the public as \u0026ldquo;transparency\u0026rdquo; is strategically delayed and does not offer direct accountability for the positions held by individual firms. The many loopholes that exist in reporting obligations create an environment favourable to malicious actors and predatory short sellers. The quality of reported data for public consumption may improve in the near future, however, pushback from proprietary trading firms is likely to delay or degrade any progressions towards fair and transparent markets.\nUse the command \u0026lsquo;dpotc\u0026rsquo; to display a barchart comparing dark pool (ATS) and OTC (Non ATS) volume. The raw data sets are available through the \u0026lsquo;\u0026ndash;export\u0026rsquo; argument. Source: https://otctransparency.finra.org/otctransparency/\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":549,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/ftd/","title":"Ftd","parent":"Introduction to Dark Pools \u0026 Short Data","content":"usage: ftd [-s START] [-e END] [-n N_NUM] [--raw] [--export {csv,json,xlsx}] [-h] Display Fails to Deliver statistics for the loaded ticker. Source: https://www.sec.gov/data/foiadocsfailsdatahtm\noptional arguments: -s START, --start START start of datetime to see FTD -e END, --end END end of datetime to see FTD -n N_NUM, --num N_NUM number of latest fails-to-deliver being printed --raw Print raw data. --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file -h, --help show this help message "},{"id":550,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/hsi/","title":"Hsi","parent":"Introduction to Dark Pools \u0026 Short Data","content":"usage: hsi [-n N_NUM] [--export {csv,json,xlsx}] [-h] Browse a sorted database of stocks which have a short interest of over 20 percent. Additional key data such as the float, number of outstanding shares, and company industry is displayed. Data is presented for the Nasdaq Stock Market, the New York Stock Exchange, and the American Stock Exchange. Source: https://www.highshortinterest.com\noptional arguments: -n N_NUM, --num N_NUM Number of top stocks to print. (default: 10) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:49 (✨) /stocks/dps/ $ hsi Top Interest Stocks ┌────────┬───────────────────────────────┬──────────┬──────────┬─────────┬─────────┬────────────────────────────────────────────┐ │ Ticker │ Company │ Exchange │ ShortInt │ Float │ Outstd │ Industry │ ├────────┼───────────────────────────────┼──────────┼──────────┼─────────┼─────────┼────────────────────────────────────────────┤ │ CRTX │ Cortexyme Inc │ Nasdaq │ 47.00% │ 15.56M │ 29.88M │ Biotechnology \u0026amp; Medical Research │ ├────────┼───────────────────────────────┼──────────┼──────────┼─────────┼─────────┼────────────────────────────────────────────┤ │ BLNK │ Blink Charging Co │ Nasdaq │ 40.97% │ 36.46M │ 42.20M │ Utilities - Electric │ ├────────┼───────────────────────────────┼──────────┼──────────┼─────────┼─────────┼────────────────────────────────────────────┤ │ GOGO │ Gogo Inc │ Nasdaq │ 39.10% │ 45.62M │ 109.95M │ Communications Services │ ├────────┼───────────────────────────────┼──────────┼──────────┼─────────┼─────────┼────────────────────────────────────────────┤ │ FUV │ Arcimoto Inc │ Nasdaq │ 35.67% │ 28.76M │ 37.64M │ Auto \u0026amp; Truck Manufacturers │ ├────────┼───────────────────────────────┼──────────┼──────────┼─────────┼─────────┼────────────────────────────────────────────┤ │ ICPT │ Intercept Pharmaceuticals Inc │ Nasdaq │ 35.61% │ 23.52M │ 29.55M │ Biotechnology \u0026amp; Medical Research │ ├────────┼───────────────────────────────┼──────────┼──────────┼─────────┼─────────┼────────────────────────────────────────────┤ │ SFT │ Shift Technologies Inc │ Nasdaq │ 35.18% │ 54.48M │ 81.31M │ Retailers - Auto Vehicles, Parts \u0026amp; Service │ ├────────┼───────────────────────────────┼──────────┼──────────┼─────────┼─────────┼────────────────────────────────────────────┤ │ BGFV │ Big 5 Sporting Goods Corp │ Nasdaq │ 34.45% │ 20.01M │ 22.31M │ Retailers - Miscellaneous Specialty │ ├────────┼───────────────────────────────┼──────────┼──────────┼─────────┼─────────┼────────────────────────────────────────────┤ │ RMO │ Romeo Power Inc │ NYSE │ 34.28% │ 90.21M │ 134.46M │ Electrical Components \u0026amp; Equipment │ ├────────┼───────────────────────────────┼──────────┼──────────┼─────────┼─────────┼────────────────────────────────────────────┤ │ BYND │ Beyond Meat Inc │ Nasdaq │ 33.99% │ 56.25M │ 63.33M │ Food Processing │ ├────────┼───────────────────────────────┼──────────┼──────────┼─────────┼─────────┼────────────────────────────────────────────┤ │ SDC │ SmileDirectClub Inc │ Nasdaq │ 33.23% │ 110.88M │ 119.14M │ Medical Equipment, Supplies \u0026amp; Distribution │ └────────┴───────────────────────────────┴──────────┴──────────┴─────────┴─────────┴────────────────────────────────────────────┘ "},{"id":551,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/pos/","title":"Pos","parent":"Introduction to Dark Pools \u0026 Short Data","content":"usage: pos [-n NUM] [-s {sv,sv_pct,nsv,nsv_dollar,dpp,dpp_dollar}] [-a] [--export {csv,json,xlsx}] [-h] Request a list of up to 200 (either positive or negative using the -a argument) Dark Pool Positions using the optional arguments to the feature command as described below. Source: https://www.stockgrid.io/darkpools\nVolume and short sale data for tickers trading on US-regulated public markets is updated daily on the FINRA website at approximately 6PM EST.\nA \u0026lsquo;position\u0026rsquo; is the result of the net aggregagte short sale volume over a rolling twenty day period. The available daily data sets currently go back as far as 2020. For an explanation on reading this data, consult the white paper from SqueezeMetrics: https://squeezemetrics.com/monitor/download/pdf/short_is_long.pdf?\noptional arguments: -n NUM, --number NUM Number of top tickers to show (default: 10) -s {sv,sv_pct,nsv,nsv_dollar,dpp,dpp_dollar}, --sort {sv,sv_pct,nsv,nsv_dollar,dpp,dpp_dollar} Field for which to sort by, where 'sv': Short Vol. (1M), 'sv_pct': Short Vol. %, 'nsv': Net Short Vol. (1M), 'nsv_dollar': Net Short Vol. ($100M), 'dpp': DP Position (1M), 'dpp_dollar': DP Position ($1B) (default: dpp_dollar) -a, --ascending Data in ascending order (default: False) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 08:51 (✨) /stocks/dps/ $ pos Data for: 2022-02-14 ┌────────┬─────────────────┬──────────────┬─────────────────────┬────────────────────────┬──────────────────┬───────────────────┐ │ Ticker │ Short Vol. (1M) │ Short Vol. % │ Net Short Vol. (1M) │ Net Short Vol. ($100M) │ DP Position (1M) │ DP Position ($1B) │ ├────────┼─────────────────┼──────────────┼─────────────────────┼────────────────────────┼──────────────────┼───────────────────┤ │ QQQ │ 12.80 │ 66.45 │ 6.34 │ 22.02 │ 117.89 │ 42.14 │ ├────────┼─────────────────┼──────────────┼─────────────────────┼────────────────────────┼──────────────────┼───────────────────┤ │ AMD │ 45.65 │ 66.50 │ 22.65 │ 25.88 │ 171.23 │ 21.13 │ ├────────┼─────────────────┼──────────────┼─────────────────────┼────────────────────────┼──────────────────┼───────────────────┤ │ SPY │ 12.74 │ 53.08 │ 1.48 │ 6.49 │ 42.46 │ 19.11 │ ├────────┼─────────────────┼──────────────┼─────────────────────┼────────────────────────┼──────────────────┼───────────────────┤ │ NVDA │ 12.36 │ 55.73 │ 2.54 │ 6.17 │ 73.21 │ 18.07 │ ├────────┼─────────────────┼──────────────┼─────────────────────┼────────────────────────┼──────────────────┼───────────────────┤ │ IWM │ 3.33 │ 72.64 │ 2.07 │ 4.16 │ 33.92 │ 6.74 │ ├────────┼─────────────────┼──────────────┼─────────────────────┼────────────────────────┼──────────────────┼───────────────────┤ │ LQD │ 8.18 │ 83.55 │ 6.57 │ 8.13 │ 52.24 │ 6.62 │ ├────────┼─────────────────┼──────────────┼─────────────────────┼────────────────────────┼──────────────────┼───────────────────┤ │ HYG │ 8.20 │ 70.11 │ 4.70 │ 3.88 │ 59.81 │ 5.04 │ ├────────┼─────────────────┼──────────────┼─────────────────────┼────────────────────────┼──────────────────┼───────────────────┤ │ NFLX │ 1.28 │ 47.61 │ -0.13 │ -0.51 │ 11.19 │ 4.76 │ ├────────┼─────────────────┼──────────────┼─────────────────────┼────────────────────────┼──────────────────┼───────────────────┤ │ SNAP │ 13.34 │ 61.82 │ 5.10 │ 2.02 │ 105.93 │ 4.34 │ ├────────┼─────────────────┼──────────────┼─────────────────────┼────────────────────────┼──────────────────┼───────────────────┤ │ SMH │ 1.04 │ 62.44 │ 0.41 │ 1.10 │ 13.29 │ 3.67 │ └────────┴─────────────────┴──────────────┴─────────────────────┴────────────────────────┴──────────────────┴───────────────────┘ "},{"id":552,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/prom/","title":"Prom","parent":"Introduction to Dark Pools \u0026 Short Data","content":"usage: prom [-n N_NUM] [-l LIMIT] [-t {T1,T2,OTCE}] [-h] [--export {csv,json,xlsx}] Display and filter dark pool (ATS) data of tickers with growing trades activity outside of the NYSE/NASDAQ/AMEX/CBOE/ICE systems. Source: http://finra-markets.morningstar.com/MarketData/EquityOptions/default.jsp\noptional arguments: -n N_NUM, --num N_NUM Number of tickers to filter from entire ATS data based on the sum of the total weekly shares quantity. (default: 1000) -l LIMIT, --limit LIMIT Limit of most promising tickers to display. (default: 10) -t {T1,T2,OTCE}, --tier {T1,T2,OTCE} Tier to process data from. (default: ) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":553,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/psi/","title":"Psi","parent":"Introduction to Dark Pools \u0026 Short Data","content":"usage: psi [--source {quandl,stockgrid}] [--nyse] [-n NUM] [-r] [--export {csv,json,xlsx}] [-h] Shows a graph of price vs short interest volume over a variable number of days, selectable from two sources: StockGrid and Quandl API. Print the raw data using the \u0026lsquo;-r\u0026rsquo; argument for closer scrutiny of the data. Data is updated daily after market close.\noptional arguments: --source {quandl,stockgrid} Source of short interest volume --nyse ONLY QUANDL SOURCE. Data from NYSE flag. Otherwise comes from NASDAQ. -n NUM, --number NUM Number of last open market days to show -r Flag to print raw data instead --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file -h, --help show this help message "},{"id":554,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/shorted/","title":"Shorted","parent":"Introduction to Dark Pools \u0026 Short Data","content":"usage: shorted [-n NUM] [--export {csv,json,xlsx}] [-h] Request a list of up to 25 stocks that have accumulated the most short interest. [Source: Yahoo Finance]\noptional arguments: -n NUM, --num NUM Number of the most shorted stocks to retrieve. (default: 5) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 11:06 (✨) /stocks/dps/ $ shorted Most Shorted Stocks ┌────────┬────────────────────────────────────────┬──────────────────┬────────┬──────────┬────────┬───────────────────┬────────────┬────────────────┐ │ Symbol │ Name │ Price (Intraday) │ Change │ % Change │ Volume │ Avg Vol (3 month) │ Market Cap │ PE Ratio (TTM) │ ├────────┼────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ ECAT │ BlackRock ESG Capital Allocation Trust │ 16.86 │ 0.13 │ +0.78% │ 40765 │ 347083 │ 84300 │ │ ├────────┼────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ BLNK │ Blink Charging Co. │ 24.75 │ 0.97 │ +4.08% │ 354745 │ 2.357M │ 1.044B │ │ ├────────┼────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ HRTX │ Heron Therapeutics, Inc. │ 8.74 │ 0.22 │ +2.58% │ 200853 │ 2.077M │ 890.912M │ │ ├────────┼────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ SAVA │ Cassava Sciences, Inc. │ 48.83 │ 0.13 │ +0.28% │ 430440 │ 3.047M │ 1.954B │ │ ├────────┼────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ ARCH │ Arch Resources, Inc. │ 116.90 │ 3.64 │ +3.21% │ 623213 │ 493427 │ 1.79B │ 59.80 │ ├────────┼────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ EVGO │ EVgo, Inc. │ 10.01 │ 0.27 │ +2.77% │ 1.144M │ 4.419M │ 2.648B │ │ ├────────┼────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ BEEM │ Beam Global │ 14.56 │ 1.07 │ +7.92% │ 59466 │ 357145 │ 130.285M │ │ ├────────┼────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ SDC │ SmileDirectClub, Inc. │ 2.29 │ 0.07 │ +3.39% │ 1.018M │ 8.748M │ 886.831M │ │ ├────────┼────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ BGFV │ Big 5 Sporting Goods Corporation │ 17.84 │ 0.52 │ +3.00% │ 139821 │ 1.183M │ 398.025M │ 3.88 │ ├────────┼────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ BYND │ Beyond Meat, Inc. │ 59.97 │ 1.84 │ +3.17% │ 480665 │ 3.702M │ 3.798B │ │ └────────┴────────────────────────────────────────┴──────────────────┴────────┴──────────┴────────┴───────────────────┴────────────┴────────────────┘ "},{"id":555,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/sidtc/","title":"Sidtc","parent":"Introduction to Dark Pools \u0026 Short Data","content":"usage: sidtc [-n NUM] [-s {float,dtc,si}] [--export {csv,json,xlsx}] [-h] Request a list of shorted stocks, sorted by the optional arguments described below. Source: https://www.stockgrid.io/shortinterest\nNote: This data is delayed as per the short interest reporting schedule dictated by FINRA. https://www.nasdaqtrader.com/trader.aspx?id=shortintpubsch\noptional arguments: -n NUM, --number NUM Number of top tickers to show (default: 10) -s {float,dtc,si}, --sort {float,dtc,si} Field for which to sort by, where 'float': Float Short %, 'dtc': Days to Cover, 'si': Short Interest (default: float) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 15, 11:07 (✨) /stocks/dps/ $ sidtc Data for: 2022-01-31 ┌────────┬───────────────┬───────────────┬─────────────────────┐ │ Ticker │ Float Short % │ Days to Cover │ Short Interest (1M) │ ├────────┼───────────────┼───────────────┼─────────────────────┤ │ VIEW │ 40.70 │ 14.92 │ 21.46 │ ├────────┼───────────────┼───────────────┼─────────────────────┤ │ HRTX │ 34.06 │ 14.92 │ 34.64 │ ├────────┼───────────────┼───────────────┼─────────────────────┤ │ IRBT │ 24.47 │ 13.85 │ 6.47 │ ├────────┼───────────────┼───────────────┼─────────────────────┤ │ ZYXI │ 24.13 │ 14.43 │ 4.77 │ ├────────┼───────────────┼───────────────┼─────────────────────┤ │ TDUP │ 22.94 │ 14.14 │ 11.93 │ ├────────┼───────────────┼───────────────┼─────────────────────┤ │ GOGO │ 22.44 │ 25.02 │ 17.84 │ ├────────┼───────────────┼───────────────┼─────────────────────┤ │ SATS │ 19.49 │ 23.27 │ 7.14 │ ├────────┼───────────────┼───────────────┼─────────────────────┤ │ RLAY │ 19.32 │ 20.15 │ 14.88 │ ├────────┼───────────────┼───────────────┼─────────────────────┤ │ OMER │ 18.89 │ 13.36 │ 11.32 │ ├────────┼───────────────┼───────────────┼─────────────────────┤ │ AXDX │ 18.75 │ 19.71 │ 7.00 │ └────────┴───────────────┴───────────────┴─────────────────────┘ "},{"id":556,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/spos/","title":"Spos","parent":"Introduction to Dark Pools \u0026 Short Data","content":"usage: spos [-n NUM] [-r] [--export {csv,json,xlsx}] [-h] Displays a charty of Net Short Vol. vs Position over a selectable number of days. Print the raw data for closer scrutiny. Source: https://www.stockgrid.io/darkpools\noptional arguments: -n NUM, --number NUM Number of last open market days to show -r Flag to print raw data instead --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file -h, --help show this help message "},{"id":557,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/volexch/","title":"Volexch","parent":"Introduction to Dark Pools \u0026 Short Data","content":"usage: volexch [-r] [-s {,NetShort,Date,TotalVolume,PctShort}] [-a] [-p] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Displays short volume across lit NYSE venues. This data is updated nightly, this command may not not be available during updates.\noptional arguments: -r, --raw Display raw data -s {,NetShort,Date,TotalVolume,PctShort}, --sort {,NetShort,Date,TotalVolume,PctShort} Column to sort by -a, --asc Sort in ascending order -p, --plotly Display plot using interactive plotly. -h, --help show this help message --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg "},{"id":558,"href":"/OpenBBTerminal/terminal/stocks/discovery/active/","title":"Active","parent":"Introduction to Stocks Discovery","content":"usage: active [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print up to 25 top most actively traded intraday tickers. [Source: Yahoo Finance]\noptional arguments: -l LIMIT, --limit LIMIT Limit of stocks to display. (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 03:46 (✨) /stocks/disc/ $ active -l 25 Most Active Stocks ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ Symbol ┃ Name ┃ Price (Intraday) ┃ Change ┃ % Change ┃ Volume ┃ Avg Vol (3 month) ┃ Market Cap ┃ PE Ratio (TTM) ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ SPCE │ Virgin Galactic Holdings, Inc. │ 10.74 │ 2.60 │ +31.94% │ 178.62M │ 14.077M │ 2.771B │ │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ AMD │ Advanced Micro Devices, Inc. │ 121.47 │ 7.20 │ +6.30% │ 141.257M │ 73.478M │ 145.679B │ 47.26 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ NVDA │ NVIDIA Corporation │ 264.95 │ 22.28 │ +9.18% │ 70.175M │ 51.247M │ 660.255B │ 81.70 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ F │ Ford Motor Company │ 18.08 │ 0.62 │ +3.55% │ 64.555M │ 108.718M │ 72.397B │ 4.06 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ AAPL │ Apple Inc. │ 172.79 │ 3.91 │ +2.32% │ 64.286M │ 104.284M │ 2.82T │ 28.73 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ ZNGA │ Zynga Inc. │ 9.05 │ -0.01 │ -0.11% │ 55.461M │ 35.399M │ 10.231B │ │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ RBLX │ Roblox Corporation │ 73.30 │ 4.98 │ +7.29% │ 49.158M │ 22.259M │ 42.429B │ │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ SOFI │ SoFi Technologies, Inc. │ 12.58 │ 0.58 │ +4.83% │ 50.868M │ 50.382M │ 10.059B │ │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ PLTR │ Palantir Technologies Inc. │ 14.17 │ 0.91 │ +6.86% │ 48.047M │ 42.817M │ 28.408B │ │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ NIO │ NIO Inc. │ 25.79 │ 2.00 │ +8.41% │ 46.697M │ 53.892M │ 41.021B │ │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ AAL │ American Airlines Group Inc. │ 18.84 │ 1.41 │ +8.09% │ 46.529M │ 40.319M │ 12.203B │ │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ FB │ Meta Platforms, Inc. │ 221.00 │ 3.30 │ +1.52% │ 42.685M │ 29.422M │ 601.549B │ 16.05 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ BAC │ Bank of America Corporation │ 47.79 │ 0.37 │ +0.78% │ 41.879M │ 52.171M │ 386.04B │ 13.39 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ ITUB │ Itaú Unibanco Holding S.A. │ 5.14 │ 0.08 │ +1.58% │ 41.059M │ 45.848M │ 50.269B │ 9.92 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ AMC │ AMC Entertainment Holdings, Inc. │ 19.48 │ 1.73 │ +9.75% │ 39.222M │ 49.237M │ 10B │ │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ ABEV │ Ambev S.A. │ 2.95 │ 0.05 │ +1.72% │ 38.479M │ 21.416M │ 46.429B │ 15.36 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ INTC │ Intel Corporation │ 48.44 │ 0.86 │ +1.81% │ 35.858M │ 36.63M │ 197.248B │ 9.97 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ VALE │ Vale S.A. │ 17.14 │ -0.35 │ -2.00% │ 33.93M │ 32.586M │ 80.669B │ 4.79 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ UBER │ Uber Technologies, Inc. │ 37.09 │ 2.50 │ +7.23% │ 36.234M │ 32.245M │ 71.959B │ │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ FCEL │ FuelCell Energy, Inc. │ 5.49 │ 0.87 │ +18.83% │ 34.067M │ 23.922M │ 2.013B │ │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ T │ AT\u0026amp;T Inc. │ 24.34 │ 0.29 │ +1.21% │ 31.096M │ 62.336M │ 173.812B │ 8.82 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ CCL │ Carnival Corporation \u0026amp; plc │ 22.78 │ 1.42 │ +6.65% │ 31.595M │ 43.634M │ 26.684B │ │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ NOK │ Nokia Corporation │ 5.60 │ 0.17 │ +3.13% │ 29.464M │ 24.911M │ 32.265B │ 17.07 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ PBR │ Petróleo Brasileiro S.A. - Petrobras │ 13.77 │ -0.21 │ -1.50% │ 27.492M │ 31.187M │ 89.809B │ 3.49 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼──────────┼───────────────────┼────────────┼────────────────┤ │ MSFT │ Microsoft Corporation │ 300.47 │ 5.47 │ +1.85% │ 27.379M │ 35.818M │ 2.253T │ 32.00 │ └────────┴──────────────────────────────────────┴──────────────────┴────────┴──────────┴──────────┴───────────────────┴────────────┴────────────────┘ "},{"id":559,"href":"/OpenBBTerminal/terminal/stocks/discovery/arkord/","title":"Arkord","parent":"Introduction to Stocks Discovery","content":"usage: arkord [-l LIMIT] [-s {date,volume,open,high,close,low,total,weight,shares} [{date,volume,open,high,close,low,total,weight,shares} ...]] [-a] [-b] [-c] [-f {ARKK,ARKF,ARKW,ARKQ,ARKG,ARKX,}] [-h] [--export {csv,json,xlsx}] Orders by ARK Investment Management LLC - https://ark-funds.com/. [Source: https://cathiesark.com]\noptional arguments: -l LIMIT, --limit LIMIT Limit of stocks to display. (default: 10) -s {date,volume,open,high,close,low,total,weight,shares} [{date,volume,open,high,close,low,total,weight,shares} ...], --sortby {date,volume,open,high,close,low,total,weight,shares} [{date,volume,open,high,close,low,total,weight,shares} ...] Column to sort by (default: ) -a, --ascend Flag to sort in ascending order (default: False) -b, --buy_only Flag to look at buys only (default: False) -c, --sell_only Flag to look at sells only (default: False) -f {ARKK,ARKF,ARKW,ARKQ,ARKG,ARKX,}, --fund {ARKK,ARKF,ARKW,ARKQ,ARKG,ARKX,} Filter by fund (default: ) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 03:49 (✨) /stocks/disc/ $ arkord Orders by ARK Investment Management LLC ┏━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━┓ ┃ Date ┃ Ticker ┃ Direction ┃ Volume ┃ Open ┃ Close ┃ High ┃ Low ┃ Total ┃ Fund ┃ Weight ┃ Shares ┃ ┡━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━┩ │ 2022-02-15 │ TSP │ Buy │ 1960200 │ 17.52 │ 17.86 │ 17.95 │ 16.83 │ 623206.86 │ ARKK │ 0.0049 │ 34894 │ ├────────────┼────────┼───────────┼─────────┼───────┼───────┼───────┼───────┼────────────┼──────┼────────┼────────┤ │ 2022-02-15 │ MKFG │ Buy │ 1057800 │ 4.55 │ 4.67 │ 4.73 │ 4.54 │ 94847.70 │ ARKQ │ 0.0058 │ 20310 │ ├────────────┼────────┼───────────┼─────────┼───────┼───────┼───────┼───────┼────────────┼──────┼────────┼────────┤ │ 2022-02-15 │ TWOU │ Buy │ 6176700 │ 9.92 │ 9.77 │ 10.20 │ 9.70 │ 269749.71 │ ARKK │ 0.0023 │ 27610 │ ├────────────┼────────┼───────────┼─────────┼───────┼───────┼───────┼───────┼────────────┼──────┼────────┼────────┤ │ 2022-02-15 │ CND │ Buy │ 926500 │ 10.29 │ 10.37 │ 10.59 │ 10.25 │ 2883415.93 │ ARKF │ 0.1825 │ 278000 │ ├────────────┼────────┼───────────┼─────────┼───────┼───────┼───────┼───────┼────────────┼──────┼────────┼────────┤ │ 2022-02-15 │ TSP │ Buy │ 1960200 │ 17.52 │ 17.86 │ 17.95 │ 16.83 │ 675215.18 │ ARKQ │ 0.0403 │ 37806 │ ├────────────┼────────┼───────────┼─────────┼───────┼───────┼───────┼───────┼────────────┼──────┼────────┼────────┤ │ 2022-02-15 │ AQB │ Sell │ 510200 │ 1.66 │ 1.65 │ 1.66 │ 1.62 │ 147107.40 │ ARKG │ 0.0038 │ 89156 │ ├────────────┼────────┼───────────┼─────────┼───────┼───────┼───────┼───────┼────────────┼──────┼────────┼────────┤ │ 2022-02-15 │ CLLS │ Sell │ 182200 │ 5.69 │ 5.60 │ 5.74 │ 5.57 │ 82364.80 │ ARKG │ 0.0022 │ 14708 │ ├────────────┼────────┼───────────┼─────────┼───────┼───────┼───────┼───────┼────────────┼──────┼────────┼────────┤ │ 2022-02-15 │ TWOU │ Buy │ 6176700 │ 9.92 │ 9.77 │ 10.20 │ 9.70 │ 57340.13 │ ARKW │ 0.0023 │ 5869 │ ├────────────┼────────┼───────────┼─────────┼───────┼───────┼───────┼───────┼────────────┼──────┼────────┼────────┤ │ 2022-02-15 │ TWOU │ Buy │ 6176700 │ 9.92 │ 9.77 │ 10.20 │ 9.70 │ 34507.64 │ ARKQ │ 0.0022 │ 3532 │ ├────────────┼────────┼───────────┼─────────┼───────┼───────┼───────┼───────┼────────────┼──────┼────────┼────────┤ │ 2022-02-15 │ MKFG │ Buy │ 1057800 │ 4.55 │ 4.67 │ 4.73 │ 4.54 │ 22131.13 │ ARKX │ 0.0057 │ 4739 │ └────────────┴────────┴───────────┴─────────┴───────┴───────┴───────┴───────┴────────────┴──────┴────────┴────────┘ 2022 Feb 16, 03:50 (✨) /stocks/disc/ $ arkord -b -f ARKK Orders by ARK Investment Management LLC ┏━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━━┓ ┃ Date ┃ Ticker ┃ Direction ┃ Volume ┃ Open ┃ Close ┃ High ┃ Low ┃ Total ┃ Fund ┃ Weight ┃ Shares ┃ ┡━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━━┩ │ 2022-02-15 │ TSP │ Buy │ 1960200 │ 17.52 │ 17.86 │ 17.95 │ 16.83 │ 623206.86 │ ARKK │ 0.0049 │ 34894 │ ├────────────┼────────┼───────────┼──────────┼────────┼────────┼────────┼────────┼─────────────┼──────┼────────┼─────────┤ │ 2022-02-15 │ TWOU │ Buy │ 6176700 │ 9.92 │ 9.77 │ 10.20 │ 9.70 │ 269749.71 │ ARKK │ 0.0023 │ 27610 │ ├────────────┼────────┼───────────┼──────────┼────────┼────────┼────────┼────────┼─────────────┼──────┼────────┼─────────┤ │ 2022-02-14 │ HOOD │ Buy │ 21768500 │ 13.10 │ 13.35 │ 13.87 │ 12.97 │ 1423710.79 │ ARKK │ 0.0114 │ 106645 │ ├────────────┼────────┼───────────┼──────────┼────────┼────────┼────────┼────────┼─────────────┼──────┼────────┼─────────┤ │ 2022-02-14 │ TSP │ Buy │ 3316800 │ 16.37 │ 17.23 │ 18.00 │ 16.35 │ 5257717.13 │ ARKK │ 0.0431 │ 305149 │ ├────────────┼────────┼───────────┼──────────┼────────┼────────┼────────┼────────┼─────────────┼──────┼────────┼─────────┤ │ 2022-02-11 │ TSP │ Buy │ 3500000 │ 16.25 │ 16.47 │ 17.37 │ 16.18 │ 7952045.07 │ ARKK │ 0.0638 │ 482820 │ ├────────────┼────────┼───────────┼──────────┼────────┼────────┼────────┼────────┼─────────────┼──────┼────────┼─────────┤ │ 2022-02-11 │ TWST │ Buy │ 3457400 │ 59.19 │ 55.99 │ 62.13 │ 55.77 │ 17381704.09 │ ARKK │ 0.1348 │ 310443 │ ├────────────┼────────┼───────────┼──────────┼────────┼────────┼────────┼────────┼─────────────┼──────┼────────┼─────────┤ │ 2022-02-11 │ HOOD │ Buy │ 17567800 │ 13.61 │ 13.32 │ 14.19 │ 13.07 │ 2032285.63 │ ARKK │ 0.0159 │ 152574 │ ├────────────┼────────┼───────────┼──────────┼────────┼────────┼────────┼────────┼─────────────┼──────┼────────┼─────────┤ │ 2022-02-10 │ TSP │ Buy │ 5914200 │ 15.71 │ 16.37 │ 17.96 │ 15.00 │ 4849383.57 │ ARKK │ 0.0391 │ 296236 │ ├────────────┼────────┼───────────┼──────────┼────────┼────────┼────────┼────────┼─────────────┼──────┼────────┼─────────┤ │ 2022-02-10 │ SQ │ Buy │ 26289600 │ 109.25 │ 108.94 │ 119.00 │ 107.30 │ 13000464.13 │ ARKK │ 0.1095 │ 119336 │ ├────────────┼────────┼───────────┼──────────┼────────┼────────┼────────┼────────┼─────────────┼──────┼────────┼─────────┤ │ 2022-02-10 │ DNA │ Buy │ 13850600 │ 5.64 │ 5.76 │ 6.30 │ 5.60 │ 12554836.34 │ ARKK │ 0.1017 │ 2179659 │ └────────────┴────────┴───────────┴──────────┴────────┴────────┴────────┴────────┴─────────────┴──────┴────────┴─────────┘ "},{"id":560,"href":"/OpenBBTerminal/terminal/stocks/discovery/asc/","title":"Asc","parent":"Introduction to Stocks Discovery","content":"usage: asc [-n NUM] [--export {csv,json,xlsx}] [-h] Print up to 25 small cap stocks with earnings growth rates better than 25%. [Source: Yahoo Finance]\noptional arguments: -l LIMIT, --limit LIMIT Limit of stocks to display. (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 03:51 (✨) /stocks/disc/ $ asc -l 25 High Growth Small Caps ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ Symbol ┃ Name ┃ Price (Intraday) ┃ Change ┃ % Change ┃ Volume ┃ Avg Vol (3 month) ┃ Market Cap ┃ PE Ratio (TTM) ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ RIDE │ Lordstown Motors Corp. │ 3.41 │ 0.34 │ +11.07% │ 6.245M │ 7.056M │ 655.508M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ SKLZ │ Skillz Inc. │ 4.56 │ 0.59 │ +14.86% │ 13.14M │ 13.946M │ 1.861B │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ BGCP │ BGC Partners, Inc. │ 4.61 │ 0.33 │ +7.71% │ 5.293M │ 2.116M │ 1.7B │ 40.09 │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ TIGR │ UP Fintech Holding Limited │ 4.92 │ 0.52 │ +11.82% │ 2.734M │ 4.485M │ 798.885M │ 24.85 │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ EDIT │ Editas Medicine, Inc. │ 16.65 │ 0.86 │ +5.45% │ 1.386M │ 1.774M │ 1.139B │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ DM │ Desktop Metal, Inc. │ 4.36 │ 0.41 │ +10.38% │ 5.407M │ 5.977M │ 1.356B │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ APRN │ Blue Apron Holdings, Inc. │ 6.27 │ 0.35 │ +5.91% │ 1.29M │ 1.444M │ 198.724M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ CRK │ Comstock Resources, Inc. │ 7.30 │ -0.14 │ -1.88% │ 4.106M │ 3.487M │ 1.7B │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ GOEV │ Canoo Inc. │ 6.22 │ 0.27 │ +4.54% │ 1.97M │ 5.864M │ 1.485B │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ BEST │ BEST Inc. │ 1.12 │ 0.09 │ +8.74% │ 1.633M │ 1.706M │ 435.344M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ BLU │ BELLUS Health Inc. │ 7.06 │ 0.00 │ 0.00% │ 1.344M │ 3.323M │ 751.163M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ HYLN │ Hyliion Holdings Corp. │ 4.22 │ 0.23 │ +5.76% │ 1.988M │ 2.863M │ 731.381M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ VLDR │ Velodyne Lidar, Inc. │ 4.25 │ 0.31 │ +7.87% │ 5.567M │ 5.266M │ 841.793M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ HUYA │ HUYA Inc. │ 6.09 │ 0.44 │ +7.79% │ 1.952M │ 2.844M │ 1.445B │ 8.13 │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ PEI │ Pennsylvania Real Estate Investment Trust │ 0.90 │ 0.03 │ +3.38% │ 329076 │ 752054 │ 74.214M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ APPH │ AppHarvest, Inc. │ 3.12 │ 0.09 │ +2.97% │ 782043 │ 1.479M │ 314.945M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ FSM │ Fortuna Silver Mines Inc. │ 3.66 │ 0.00 │ 0.00% │ 3.637M │ 4.569M │ 1.068B │ 12.93 │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ BGFV │ Big 5 Sporting Goods Corporation │ 18.26 │ 0.94 │ +5.43% │ 603600 │ 1.137M │ 407.395M │ 3.97 │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ ZEV │ Lightning eMotors, Inc. │ 5.49 │ 0.40 │ +7.86% │ 579157 │ 1.412M │ 411.507M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ DNMR │ Danimer Scientific, Inc. │ 4.07 │ 0.41 │ +11.20% │ 4.452M │ 3.75M │ 408.4M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ ORPH │ Orphazyme A/S │ 2.13 │ 0.13 │ +6.50% │ 553864 │ 989978 │ 74.448M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ REAL │ The RealReal, Inc. │ 9.89 │ 0.70 │ +7.62% │ 2.514M │ 3.049M │ 913.715M │ │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ USA │ Liberty All-Star Equity Fund │ 7.52 │ 0.12 │ +1.62% │ 796155 │ 1.374M │ 1.683B │ 2.88 │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ DHY │ Credit Suisse High Yield Bond Fund, Inc. │ 2.23 │ -0.00 │ -0.20% │ 509800 │ 335704 │ 230.836M │ 6.39 │ ├────────┼───────────────────────────────────────────┼──────────────────┼────────┼──────────┼────────┼───────────────────┼────────────┼────────────────┤ │ CENX │ Century Aluminum Company │ 20.35 │ 1.26 │ +6.60% │ 1.887M │ 1.268M │ 1.834B │ │ └────────┴───────────────────────────────────────────┴──────────────────┴────────┴──────────┴────────┴───────────────────┴────────────┴────────────────┘ "},{"id":561,"href":"/OpenBBTerminal/terminal/stocks/discovery/cnews/","title":"Cnews","parent":"Introduction to Stocks Discovery","content":"usage: cnews [-t {top-news,on-the-move,market-pulse,notable-calls,buybacks,commodities,crypto,issuance,global,guidance,ipos,spacs,politics,m-a,consumer,energy,financials,healthcare,mlps,reits,technology}] [-l LIMIT] [-h] [--export {csv,json,xlsx}] Customized news based on the string arguments below. [Source: https://seekingalpha.com]\noptional arguments: -t {top-news,on-the-move,market-pulse,notable-calls,buybacks,commodities,crypto,issuance,global,guidance,ipos,spacs,politics,m-a,consumer,energy,financials,healthcare,mlps,reits,technology}, --type {top-news,on-the-move,market-pulse,notable-calls,buybacks,commodities,crypto,issuance,global,guidance,ipos,spacs,politics,m-a,consumer,energy,financials,healthcare,mlps,reits,technology} number of news to display (default: Top-News) -l LIMIT, --limit LIMIT limit of news to display (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 03:52 (✨) /stocks/disc/ $ cnews 2022-02-15 19:04:21 - 3800509 - ViacomCBS earnings call: A flood of content feeding transformation to Paramount https://seekingalpha.com/news/3800509-viacomcbs-earnings-call-a-flood-of-content-feeding-transformation-to-paramount 2022-02-15 16:26:46 - 3800415 - ViacomCBS rebranding company as Paramount Global https://seekingalpha.com/news/3800415-viacomcbs-rebranding-company-as-paramount-global 2022-02-15 16:25:33 - 3800411 - Airbnb stock soars after guidance comes in strong https://seekingalpha.com/news/3800411-airbnb-stock-soars-after-guidance-comes-in-strong 2022-02-15 16:25:05 - 3800410 - ViacomCBS rebranding company as Paramount Global https://seekingalpha.com/news/3800410-viacomcbs-rebranding-company-as-paramount-global 2022-02-15 16:14:45 - 3800380 - ViacomCBS dips as profits dip despite revenue beat, streaming gains https://seekingalpha.com/news/3800380-viacomcbs-dips-as-profits-dip-despite-revenue-beat-streaming-gains 2022-02-15 16:14:20 - 3800378 - Wynn Resorts trades lower after earnings, Encore Boston sale https://seekingalpha.com/news/3800378-wynn-resorts-trades-lower-after-earnings-encore-boston-sale 2022 Feb 16, 03:52 (✨) /stocks/disc/ $ cnews -t buybacks 2022-02-15 16:24:36 - 3800409 - DHI launches new $15M in stock repurchase program https://seekingalpha.com/news/3800409-dhi-launches-new-15m-in-stock-repurchase-program 2022-02-15 16:20:21 - 3800395 - Upstart stock soars after Q4 earnings beat, strong guidance, stock buyback https://seekingalpha.com/news/3800395-upstart-stock-soars-after-q4-earnings-beat-strong-guidance-stock-buyback 2022-02-15 16:17:07 - 3800387 - Upstart announces $400M share repurchase program https://seekingalpha.com/news/3800387-upstart-announces-400m-share-repurchase-program 2022-02-15 08:04:55 - 3800026 - GCM Grosvenor reports Q4 results, increases stock repurchase plan by $20M https://seekingalpha.com/news/3800026-gcm-grosvenor-reports-q4-results-increases-stock-repurchase-plan-by-20m 2022-02-15 08:04:08 - 3800020 - Middlefield Banc declares $0.17 dividend; expands stock buyback plan https://seekingalpha.com/news/3800020-middlefield-banc-corp-declares-0_17-dividend 2022-02-15 07:26:40 - 3799989 - LGI Homes expands stock repurchase program by $200M https://seekingalpha.com/news/3799989-lgi-homes-expands-stock-repurchase-program-by-200m "},{"id":562,"href":"/OpenBBTerminal/terminal/stocks/discovery/cramer/","title":"Cramer","parent":"Introduction to Stocks Discovery","content":"usage: cramer [-i] [-h] [--export {csv,json,xlsx}] Show daily Cramer recommendations\noptional arguments: -i, --inverse Show inverse recommendation (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) 2022 Mar 01, 21:41 (✨) /stocks/disc/ $ cramer --inverse Cramer Recs for 03/01 ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ ┃ Company ┃ Symbol ┃ Price ┃ LastPrice ┃ Change (%) ┃ Recommendation ┃ InverseCramer ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ │ Academy Sports and Outdoo │ ASO │ 30.65 │ 30.65 │ 0.00 │ Buy │ Sell │ ├────────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┼───────────────┤ │ Salesforce │ CRM │ 208.89 │ 208.77 │ -0.06 │ Buy │ Sell │ ├────────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┼───────────────┤ │ Coterra Energy │ CTRA │ 24.36 │ 24.37 │ 0.04 │ Buy │ Sell │ ├────────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┼───────────────┤ │ Domino's Pizza │ DPZ │ 432.21 │ 432.18 │ -0.01 │ Buy │ Sell │ ├────────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┼───────────────┤ │ Nio │ NIO │ 21.87 │ 21.88 │ 0.05 │ Sell │ Buy │ ├────────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┼───────────────┤ │ Origin Materials │ ORGN │ 5.51 │ 5.50 │ -0.18 │ Sell │ Buy │ ├────────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┼───────────────┤ │ Rent-A-Center │ RCII │ 27.08 │ 27.09 │ 0.04 │ Sell │ Buy │ ├────────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┼───────────────┤ │ B. Riley Financial │ RILY │ 59.07 │ 59.09 │ 0.03 │ Sell │ Buy │ ├────────────────────────────┼────────┼────────┼───────────┼────────────┼────────────────┼───────────────┤ │ Stem │ STEM │ 9.33 │ 9.32 │ -0.11 │ Sell │ Buy │ └────────────────────────────┴────────┴────────┴───────────┴────────────┴────────────────┴───────────────┘ "},{"id":563,"href":"/OpenBBTerminal/terminal/stocks/discovery/divcal/","title":"Divcal","parent":"Introduction to Stocks Discovery","content":"usage: divcal [-d DATE] [-s SORT [SORT ...]] [-a] [-h] [--export {csv,json,xlsx}] [-l LIMIT] Get dividend calendar for selected date\noptional arguments: -d DATE, --date DATE Date to get format for (default: 2022-02-16 09:53:53.533928) -s SORT [SORT ...], --sort SORT [SORT ...] Column to sort by (default: ['Dividend']) -a, --ascend Flag to sort in ascending order (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) Example:\n2022 Feb 16, 03:53 (✨) /stocks/disc/ $ divcal Dividend Calendar for 2022-02-16 ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ ┃ Name ┃ Symbol ┃ Ex-Dividend Date ┃ Payment Date ┃ Record Date ┃ Dividend ┃ Annual Dividend ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ │ Danaos Corporation │ DAC │ 02/16/2022 │ 02/28/2022 │ 02/17/2022 │ 0.75 │ 3.00 │ ├──────────────────────────────┼────────┼──────────────────┼──────────────┼─────────────┼──────────┼─────────────────┤ │ Microsoft Corporation │ MSFT │ 02/16/2022 │ 03/10/2022 │ 02/17/2022 │ 0.62 │ 2.48 │ ├──────────────────────────────┼────────┼──────────────────┼──────────────┼─────────────┼──────────┼─────────────────┤ │ Discover Financial Services │ DFS │ 02/16/2022 │ 03/03/2022 │ 02/17/2022 │ 0.50 │ 2.00 │ ├──────────────────────────────┼────────┼──────────────────┼──────────────┼─────────────┼──────────┼─────────────────┤ │ Apartment Income REIT Corp. │ AIRC │ 02/16/2022 │ 02/25/2022 │ 02/17/2022 │ 0.45 │ 1.80 │ ├──────────────────────────────┼────────┼──────────────────┼──────────────┼─────────────┼──────────┼─────────────────┤ │ Zions Bancorporation N.A. │ ZION │ 02/16/2022 │ 02/24/2022 │ 02/17/2022 │ 0.38 │ 1.52 │ ├──────────────────────────────┼────────┼──────────────────┼──────────────┼─────────────┼──────────┼─────────────────┤ │ Southside Bancshares, Inc. │ SBSI │ 02/16/2022 │ 03/03/2022 │ 02/17/2022 │ 0.34 │ 1.36 │ ├──────────────────────────────┼────────┼──────────────────┼──────────────┼─────────────┼──────────┼─────────────────┤ │ Fidelity D \u0026amp; D Bancorp, Inc. │ FDBC │ 02/16/2022 │ 03/10/2022 │ 02/17/2022 │ 0.33 │ 1.32 │ ├──────────────────────────────┼────────┼──────────────────┼──────────────┼─────────────┼──────────┼─────────────────┤ │ Xylem Inc. │ XYL │ 02/16/2022 │ 03/17/2022 │ 02/17/2022 │ 0.30 │ 1.20 │ ├──────────────────────────────┼────────┼──────────────────┼──────────────┼─────────────┼──────────┼─────────────────┤ │ D.R. Horton, Inc. │ DHI │ 02/16/2022 │ 02/25/2022 │ 02/17/2022 │ 0.23 │ 0.90 │ ├──────────────────────────────┼────────┼──────────────────┼──────────────┼─────────────┼──────────┼─────────────────┤ │ CenterPoint Energy, Inc. │ CNP │ 02/16/2022 │ 03/10/2022 │ 02/17/2022 │ 0.17 │ 0.68 │ └──────────────────────────────┴────────┴──────────────────┴──────────────┴─────────────┴──────────┴─────────────────┘ "},{"id":564,"href":"/OpenBBTerminal/terminal/stocks/discovery/fds/","title":"Fds","parent":"Introduction to Stocks Discovery","content":"usage: fds [-c --country COUNTRY [COUNTRY ...]] [-s --sector SECTOR [SECTOR ...]] [-i --industry INDUSTRY [INDUSTRY ...]] [-n --name NAME [NAME ...]] [-m --marketcap MARKETCAP {Small, Mid, Large}] [-d --description DESCRIPTION [DESCRIPTION ...] [-ie --include_exchanges] [-a --amount AMOUNT] [-o --options {countries,sectors,industries}] [-h] Display a selection of Equities based on country, sector, industry, name and/or description filtered by market cap. If no arguments are given, return the equities with the highest market cap.\nSource: https://github.com/JerBouma/FinanceDatabase\n -c \u0026ndash;country: Specify the Equities selection based on a country -s \u0026ndash;sector: Specify the Equities selection based on a sector -i \u0026ndash;industry: Specify the Equities selection based on an industry -n \u0026ndash;name: Specify the Equities selection based on the name -d \u0026ndash;description: Specify the Equities selection based on the description (not shown in table) -m \u0026ndash;marketcap: Specify the Equities selection based on Market Cap -ie \u0026ndash;include_exchanges: If used, you also obtain Equities from different exchanges (a lot of data) -a \u0026ndash;amount: Enter the number of Equities you wish to see in the Tabulate window -o \u0026ndash;options: Obtain the available options for country, sector and industry "},{"id":565,"href":"/OpenBBTerminal/terminal/stocks/discovery/fipo/","title":"Fipo","parent":"Introduction to Stocks Discovery","content":"usage: fipo [-l LIMIT] [-h] [--export {csv,json,xlsx}] See future IPOs dates. [Source: https://finnhub.io]\noptional arguments: -l LIMIT, --limit LIMIT Limit of future days to look for IPOs. (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 03:59 (✨) /stocks/disc/ $ fipo Future IPO Dates ┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┓ ┃ Future ┃ Exchange ┃ Name ┃ Number of Shares ┃ Price ┃ Status ┃ symbol ┃ Total Shares Value ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩ │ 2022-02-16 │ NASDAQ Capital │ SMART FOR LIFE, INC. │ 1800000 │ 9.00-11.00 │ expected │ SMFL │ 22770000 │ └────────────┴────────────────┴──────────────────────┴──────────────────┴────────────┴──────────┴────────┴────────────────────┘ "},{"id":566,"href":"/OpenBBTerminal/terminal/stocks/discovery/ford/","title":"Ford","parent":"Introduction to Stocks Discovery","content":"usage: ford [-l LIMIT] [-h] [--export {csv,json,xlsx}] Orders by Fidelity customers. Information shown in the table below is based on the volume of orders entered on the \u0026ldquo;as of\u0026rdquo; date shown. Securities identified are not recommended or endorsed by Fidelity and are displayed for informational purposes only. [Source: Fidelity]\noptional arguments: -l LIMIT, --limit LIMIT Limit of stocks to display. (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:01 (✨) /stocks/disc/ $ ford -l 10 As of 02/15/22: ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ ┃ Symbol ┃ Buy / Sell Ratio ┃ Price Change ┃ Company ┃ # Buy Orders ┃ # Sell Orders ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ │ TCEHY │ 50% Buys, 50% Sells │ +0.93 (+1.546392%) │ TENCENT HOLDINGS LTD │ 8,233 │ 8,126 │ ├────────┼─────────────────────┼────────────────────┼─────────────────────────────────────────────┼──────────────┼───────────────┤ │ TSLA │ 35% Buys, 65% Sells │ +46.67 (+5.33%) │ TESLA INC │ 4,865 │ 8,958 │ ├────────┼─────────────────────┼────────────────────┼─────────────────────────────────────────────┼──────────────┼───────────────┤ │ NVDA │ 43% Buys, 57% Sells │ +22.28 (+9.18%) │ NVIDIA CORP │ 5,269 │ 6,860 │ ├────────┼─────────────────────┼────────────────────┼─────────────────────────────────────────────┼──────────────┼───────────────┤ │ AMD │ 50% Buys, 50% Sells │ +7.20 (+6.30%) │ ADVANCED MICRO DEVICES INC │ 5,772 │ 5,832 │ ├────────┼─────────────────────┼────────────────────┼─────────────────────────────────────────────┼──────────────┼───────────────┤ │ SPCE │ 44% Buys, 56% Sells │ +2.60 (+31.94%) │ VIRGIN GALACTIC HOLDINGS INC │ 3,559 │ 4,518 │ ├────────┼─────────────────────┼────────────────────┼─────────────────────────────────────────────┼──────────────┼───────────────┤ │ FB │ 63% Buys, 37% Sells │ +3.30 (+1.52%) │ META PLATFORMS INC │ 4,413 │ 2,639 │ ├────────┼─────────────────────┼────────────────────┼─────────────────────────────────────────────┼──────────────┼───────────────┤ │ KAVL │ 49% Buys, 51% Sells │ +0.37 (+13.86%) │ KAIVAL BRANDS INNOVATIONS GROUP INC │ 3,382 │ 3,555 │ ├────────┼─────────────────────┼────────────────────┼─────────────────────────────────────────────┼──────────────┼───────────────┤ │ TQQQ │ 41% Buys, 59% Sells │ +3.87 (+7.24%) │ PROSHARES ULTRAPRO QQQ │ 2,808 │ 4,031 │ ├────────┼─────────────────────┼────────────────────┼─────────────────────────────────────────────┼──────────────┼───────────────┤ │ AAPL │ 47% Buys, 53% Sells │ +3.91 (+2.32%) │ APPLE INC │ 2,589 │ 2,971 │ ├────────┼─────────────────────┼────────────────────┼─────────────────────────────────────────────┼──────────────┼───────────────┤ │ SOXL │ 34% Buys, 66% Sells │ +6.42 (+16.22%) │ DIREXION DAILY SEMICONDUCTOR BULL 3X SHARES │ 1,805 │ 3,532 │ └────────┴─────────────────────┴────────────────────┴─────────────────────────────────────────────┴──────────────┴───────────────┘ "},{"id":567,"href":"/OpenBBTerminal/terminal/stocks/discovery/gainers/","title":"Gainers","parent":"Introduction to Stocks Discovery","content":"usage: gainers [-l LIMIT] [-h] [--export {csv,json,xlsx}] Top Stock Gainers from Yfinance. Source: https://finance.yahoo.com/gainers/?offset=0\u0026count=100\noptional arguments: -l LIMIT, --limit LIMIT Limit of stocks to display. (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) ) Example:\n2022 Feb 16, 04:02 (✨) /stocks/disc/ $ gainers -l 25 Gainers ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ Symbol ┃ Name ┃ Price (Intraday) ┃ Change ┃ % Change ┃ Volume ┃ Avg Vol (3 month) ┃ Market Cap ┃ PE Ratio (TTM) ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ TSEM │ Tower Semiconductor Ltd. │ 47.07 │ 13.94 │ +42.08% │ 19.666M │ 484573 │ 5.29B │ 39.59 │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ SPCE │ Virgin Galactic Holdings, Inc. │ 10.74 │ 2.60 │ +31.94% │ 178.62M │ 14.077M │ 2.771B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ JOBY │ Joby Aviation, Inc. │ 6.04 │ 1.28 │ +26.89% │ 17.994M │ 4.128M │ 3.648B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ BBAJF │ Banco del Bajío, S.A., Institución de Banca Múltiple │ 2.48 │ 0.46 │ +22.54% │ 40917 │ 2047 │ 3.564B │ 9.78 │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ IBRX │ ImmunityBio, Inc. │ 7.03 │ 1.28 │ +22.26% │ 5.772M │ 1.764M │ 2.797B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ SABR │ Sabre Corporation │ 10.97 │ 1.97 │ +21.89% │ 19.887M │ 7.994M │ 3.548B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ TAL │ TAL Education Group │ 3.78 │ 0.67 │ +21.54% │ 18.245M │ 12.731M │ 2.438B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ BHG │ Bright Health Group, Inc. │ 3.56 │ 0.60 │ +20.27% │ 9.546M │ 4.293M │ 2.238B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ FCEL │ FuelCell Energy, Inc. │ 5.49 │ 0.87 │ +18.83% │ 34.067M │ 23.922M │ 2.013B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ DELHY │ Delivery Hero SE │ 5.65 │ 0.85 │ +17.71% │ 186351 │ 87198 │ 14.181B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ YNDX │ Yandex N.V. │ 52.40 │ 7.22 │ +15.98% │ 8.061M │ 2.784M │ 18.797B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ YMM │ Full Truck Alliance Co. Ltd. │ 9.86 │ 1.35 │ +15.86% │ 4.733M │ 5.647M │ 10.706B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ SE │ Sea Limited │ 149.55 │ 20.38 │ +15.78% │ 15.176M │ 7.888M │ 83.41B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ OZON │ Ozon Holdings PLC │ 22.23 │ 3.00 │ +15.60% │ 2.356M │ 1.501M │ 4.809B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ AMKR │ Amkor Technology, Inc. │ 24.19 │ 3.04 │ +14.37% │ 3.905M │ 955511 │ 5.917B │ 10.66 │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ CHPT │ ChargePoint Holdings, Inc. │ 15.26 │ 1.88 │ +14.05% │ 11.435M │ 10.295M │ 5.051B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ BE │ Bloom Energy Corporation │ 19.93 │ 2.42 │ +13.82% │ 8.296M │ 3.38M │ 3.517B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ WXXWY │ WuXi Biologics (Cayman) Inc. │ 16.06 │ 1.88 │ +13.26% │ 286881 │ 265244 │ 33.487B │ 79.50 │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ ZG │ Zillow Group, Inc. │ 64.88 │ 7.53 │ +13.13% │ 2.798M │ 1.167M │ 16.413B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ JKS │ JinkoSolar Holding Co., Ltd. │ 44.28 │ 5.05 │ +12.87% │ 1.045M │ 1.217M │ 2.112B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ Z │ Zillow Group, Inc. │ 65.16 │ 7.09 │ +12.21% │ 19.876M │ 6.241M │ 16.279B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ TUYA │ Tuya Inc. │ 6.50 │ 0.70 │ +12.07% │ 994793 │ 2.268M │ 3.638B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ MARA │ Marathon Digital Holdings, Inc. │ 28.63 │ 3.08 │ +12.05% │ 15.776M │ 12.787M │ 2.938B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ LFST │ LifeStance Health Group, Inc. │ 9.24 │ 0.98 │ +11.86% │ 572335 │ 1.075M │ 3.457B │ │ ├────────┼──────────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ IMAB │ I-Mab │ 27.82 │ 2.93 │ +11.77% │ 1.13M │ 655100 │ 2.224B │ │ └────────┴──────────────────────────────────────────────────────┴──────────────────┴────────┴──────────┴─────────┴───────────────────┴────────────┴────────────────┘ "},{"id":568,"href":"/OpenBBTerminal/terminal/stocks/discovery/gtech/","title":"Gtech","parent":"Introduction to Stocks Discovery","content":"usage: gtech [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print up to 25 top tech stocks with revenue and earnings growth in excess of 25%. [Source: https://finance.yahoo.com/screener/predefined/growth_technology_stocks/]\noptional arguments: -l LIMIT, --limit LIMIT Limit of stocks to display. (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:03 (✨) /stocks/disc/ $ gtech -l 25 Growth Tech Stocks ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ Symbol ┃ Name ┃ Price (Intraday) ┃ Change ┃ % Change ┃ Volume ┃ Avg Vol (3 month) ┃ Market Cap ┃ PE Ratio (TTM) ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ AFRM │ Affirm Holdings, Inc. │ 44.80 │ 1.10 │ +2.52% │ 27.207M │ 13.585M │ 12.744B │ │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ NVDA │ NVIDIA Corporation │ 264.95 │ 22.28 │ +9.18% │ 70.175M │ 51.247M │ 660.255B │ 81.70 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ MU │ Micron Technology, Inc. │ 96.00 │ 6.14 │ +6.83% │ 27.084M │ 21.734M │ 107.499B │ 14.86 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ UMC │ United Microelectronics Corporation │ 9.90 │ 0.41 │ +4.32% │ 14.052M │ 8.722M │ 24.52B │ 12.07 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ ZM │ Zoom Video Communications, Inc. │ 146.90 │ 4.81 │ +3.39% │ 2.974M │ 4.748M │ 43.775B │ 39.04 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ QCOM │ QUALCOMM Incorporated │ 173.00 │ 7.87 │ +4.77% │ 11.103M │ 11.057M │ 194.971B │ 19.83 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ ON │ ON Semiconductor Corporation │ 62.24 │ 3.58 │ +6.10% │ 6.39M │ 7.297M │ 26.919B │ 27.42 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ AMAT │ Applied Materials, Inc. │ 139.84 │ 7.98 │ +6.05% │ 9.069M │ 8.525M │ 124.177B │ 21.85 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ SQ │ Block, Inc. │ 115.21 │ 3.57 │ +3.20% │ 16.322M │ 13.814M │ 66.207B │ 115.56 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ DM │ Desktop Metal, Inc. │ 4.36 │ 0.41 │ +10.38% │ 5.407M │ 5.977M │ 1.356B │ │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ NET │ Cloudflare, Inc. │ 115.35 │ 9.79 │ +9.27% │ 5.154M │ 5.423M │ 37.329B │ │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ LSPD │ Lightspeed Commerce Inc. │ 31.73 │ 3.00 │ +10.44% │ 1.443M │ 1.506M │ 4.712B │ │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ CRWD │ CrowdStrike Holdings, Inc. │ 189.30 │ 8.70 │ +4.82% │ 2.471M │ 4.331M │ 43.414B │ │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ COIN │ Coinbase Global, Inc. │ 208.95 │ 13.70 │ +7.02% │ 3.714M │ 4.699M │ 54.724B │ 15.72 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ BILL │ Bill.com Holdings, Inc. │ 253.72 │ 13.72 │ +5.72% │ 1.855M │ 2.43M │ 26.281B │ │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ RNG │ RingCentral, Inc. │ 173.12 │ 4.96 │ +2.95% │ 706714 │ 1.24M │ 16.177B │ │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ HIMX │ Himax Technologies, Inc. │ 12.10 │ 1.10 │ +10.00% │ 3.812M │ 4.038M │ 2.106B │ 6.42 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ XLNX │ Xilinx, Inc. │ 194.92 │ 0.00 │ 0.00% │ 0 │ 4.072M │ 48.415B │ 52.38 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ AI │ C3.ai, Inc. │ 25.71 │ 1.11 │ +4.51% │ 3.158M │ 4.016M │ 2.701B │ │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ ZS │ Zscaler, Inc. │ 285.82 │ 11.39 │ +4.15% │ 2.136M │ 2.648M │ 40.038B │ │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ DQ │ Daqo New Energy Corp. │ 41.34 │ 3.14 │ +8.22% │ 638902 │ 1.471M │ 3.039B │ 4.60 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ STEM │ Stem, Inc. │ 11.39 │ 0.86 │ +8.17% │ 2.62M │ 3.865M │ 1.744B │ │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ CIEN │ Ciena Corporation │ 68.53 │ 4.71 │ +7.38% │ 4.286M │ 1.676M │ 10.614B │ 21.48 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ YMM │ Full Truck Alliance Co. Ltd. │ 9.86 │ 1.35 │ +15.86% │ 4.733M │ 5.647M │ 10.706B │ │ └────────┴─────────────────────────────────────┴──────────────────┴────────┴──────────┴─────────┴───────────────────┴────────────┴────────────────┘ "},{"id":569,"href":"/OpenBBTerminal/terminal/stocks/discovery/hotpenny/","title":"Hotpenny","parent":"Introduction to Stocks Discovery","content":"usage: hotpenny [-l LIMIT] [-h] [--export {csv,json,xlsx}] This site provides a list of todays most active and hottest penny stocks. While not for everyone, penny stocks can be exciting and rewarding investments in many ways. With penny stocks, you can get more bang for the buck. You can turn a few hundred dollars into thousands, just by getting in on the right penny stock at the right time. Penny stocks are increasing in popularity. More and more investors of all age groups and skill levels are getting involved, and the dollar amounts they are putting into these speculative investments are representing a bigger portion of their portfolios. [Source: www.pennystockflow.com]\noptional arguments: -l LIMIT, --limit LIMIT limit of stocks to display (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:04 (✨) /stocks/disc/ $ hotpenny Top Penny Stocks ┏━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Price ┃ Change ┃ $ Volume ┃ Volume ┃ # Trades ┃ ┡━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━┩ │ TCEHY │ $61.01 │ 1.55% │ $303,380,785 │ 4,994,963 │ 17,401 │ ├───────┼────────┼────────┼──────────────┼───────────┼──────────┤ │ GBTC │ $31.28 │ 6.25% │ $110,596,120 │ 3,545,597 │ 14,364 │ ├───────┼────────┼────────┼──────────────┼───────────┼──────────┤ │ BHPLF │ $33.74 │ -1.06% │ $65,818,744 │ 1,962,313 │ 23 │ ├───────┼────────┼────────┼──────────────┼───────────┼──────────┤ │ RHHBY │ $46.92 │ 1.49% │ $56,390,274 │ 1,201,629 │ 2,463 │ └───────┴────────┴────────┴──────────────┴───────────┴──────────┘ "},{"id":570,"href":"/OpenBBTerminal/terminal/stocks/discovery/losers/","title":"Losers","parent":"Introduction to Stocks Discovery","content":"usage: losers [-l LIMIT] [-h] [--export {csv,json,xlsx}] Calls a list of the biggest losers for the day in US markets [Source: https://finance.yahoo.com/losers/]\noptional arguments: -l LIMIT, --limit LIMIT Limit of stocks to display. (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:07 (✨) /stocks/disc/ $ losers -l 25 Display Losers ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ Symbol ┃ Name ┃ Price (Intraday) ┃ Change ┃ % Change ┃ Volume ┃ Avg Vol (3 month) ┃ Market Cap ┃ PE Ratio (TTM) ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ MEDP │ Medpace Holdings, Inc. │ 138.87 │ -35.36 │ -20.30% │ 2.262M │ 240165 │ 4.991B │ 28.75 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ CAR │ Avis Budget Group, Inc. │ 171.25 │ -23.46 │ -12.05% │ 3.66M │ 984295 │ 9.667B │ 14.50 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ PRI │ Primerica, Inc. │ 137.13 │ -14.35 │ -9.47% │ 537376 │ 151716 │ 5.415B │ 12.44 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ RCRUY │ Recruit Holdings Co., Ltd. │ 8.94 │ -0.84 │ -8.63% │ 848219 │ 409847 │ 74.455B │ 36.27 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ HMY │ Harmony Gold Mining Company Limited │ 3.61 │ -0.34 │ -8.61% │ 13.117M │ 5.722M │ 2.204B │ 6.67 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ FIS │ Fidelity National Information Services, Inc. │ 102.85 │ -8.65 │ -7.76% │ 9.579M │ 4.143M │ 62.629B │ 285.69 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ SYNH │ Syneos Health, Inc. │ 82.17 │ -6.80 │ -7.64% │ 1.031M │ 504631 │ 8.52B │ 34.51 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ CYTK │ Cytokinetics, Incorporated │ 37.58 │ -2.76 │ -6.84% │ 3.067M │ 1.064M │ 3.172B │ │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ KUBTY │ Kubota Corporation │ 91.32 │ -6.37 │ -6.52% │ 42171 │ 20532 │ 21.922B │ 14.27 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ IPGP │ IPG Photonics Corporation │ 137.55 │ -9.13 │ -6.22% │ 1.086M │ 274590 │ 7.333B │ 28.25 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ DHR-PA │ Danaher Corporation │ 1828.87 │ 14.59 │ +0.80% │ 16720 │ 4094 │ 168.217B │ 212.24 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ STZ │ Constellation Brands, Inc. │ 219.55 │ -14.30 │ -6.12% │ 2.589M │ 1.063M │ 41.692B │ │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ PTR │ PetroChina Company Limited │ 50.80 │ -3.28 │ -6.07% │ 437983 │ 176783 │ 149.884B │ 7.06 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ MSADY │ MS\u0026amp;AD Insurance Group Holdings, Inc. │ 17.22 │ -1.08 │ -5.90% │ 27461 │ 49672 │ 18.923B │ 12.92 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ OMCL │ Omnicell, Inc. │ 139.55 │ -8.05 │ -5.45% │ 3.242M │ 335131 │ 6.132B │ 80.57 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ CGSHY │ Country Garden Services Holdings Company Limited │ 6.25 │ -0.36 │ -5.45% │ 26709 │ 33427 │ 21.904B │ 33.60 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ CLR │ Continental Resources, Inc. │ 54.27 │ -3.09 │ -5.39% │ 9.754M │ 1.696M │ 19.84B │ 23.91 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ ICLR │ ICON Public Limited Company │ 242.36 │ -13.48 │ -5.27% │ 1.359M │ 508632 │ 19.728B │ 82.46 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ RYDAF │ Shell plc │ 26.01 │ -1.44 │ -5.25% │ 24010 │ 66619 │ 200.025B │ 10.12 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ SBSW │ Sibanye Stillwater Limited │ 15.57 │ -0.81 │ -4.95% │ 5.813M │ 3.127M │ 10.954B │ 3.83 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ PHJMF │ PT Hanjaya Mandala Sampoerna Tbk │ 0.07 │ -0.00 │ -4.83% │ 53513 │ 424706 │ 7.561B │ │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ CMTG │ Claros Mortgage Trust, Inc. │ 16.98 │ -0.84 │ -4.71% │ 48428 │ 62252 │ 2.266B │ 11.55 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ IQV │ IQVIA Holdings Inc. │ 228.64 │ -11.26 │ -4.69% │ 3.086M │ 929314 │ 43.679B │ 58.19 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ CRL │ Charles River Laboratories International, Inc. │ 312.63 │ -14.81 │ -4.52% │ 1.245M │ 381670 │ 15.777B │ 40.49 │ ├────────┼──────────────────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ BTU │ Peabody Energy Corporation │ 17.21 │ -0.81 │ -4.50% │ 7.956M │ 5.386M │ 2.294B │ 5.35 │ └────────┴──────────────────────────────────────────────────┴──────────────────┴────────┴──────────┴─────────┴───────────────────┴────────────┴────────────────┘ "},{"id":571,"href":"/OpenBBTerminal/terminal/stocks/discovery/lowfloat/","title":"Lowfloat","parent":"Introduction to Stocks Discovery","content":"usage: lowfloat [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print top stocks with lowest float. LowFloat.com provides a convenient sorted database of stocks which have a float of under 10 million shares. Additional key data such as the number of outstanding shares, short interest, and company industry is displayed. Data is presented for the Nasdaq Stock Market, the New York Stock Exchange, the American Stock Exchange, and the Over the Counter Bulletin Board. [Source: www.lowfloat.com]\noptional arguments: -l LIMIT, --limit LIMIT limit of stocks to display (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:09 (✨) /stocks/disc/ $ lowfloat -l 10 Top Float Stocks ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ Ticker ┃ Company ┃ Exchange ┃ Float ┃ Outstd ┃ ShortInt ┃ Industry ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ DIT │ Amcon Distributing Co │ AMEX │ 160K │ 580K │ 1.09% │ Retail (Grocery) │ ├────────┼───────────────────────────────────────┼──────────┼───────┼────────┼──────────┼────────────────────────────────────────────┤ │ SEB │ Seaboard Corp │ AMEX │ 240K │ 1.16M │ 0.78% │ Fish/Livestock │ ├────────┼───────────────────────────────────────┼──────────┼───────┼────────┼──────────┼────────────────────────────────────────────┤ │ MAYS │ JW Mays Inc │ Nasdaq │ 390K │ 2.02M │ 0.85% │ Real Estate Operations │ ├────────┼───────────────────────────────────────┼──────────┼───────┼────────┼──────────┼────────────────────────────────────────────┤ │ HMG │ HMG Courtland Properties │ AMEX │ 400K │ 1.02M │ 0.28% │ Real Estate Operations │ ├────────┼───────────────────────────────────────┼──────────┼───────┼────────┼──────────┼────────────────────────────────────────────┤ │ VBFC │ Village Bank and Trust Financial Corp │ Nasdaq │ 530K │ 1.47M │ 0.10% │ Regional Banks │ ├────────┼───────────────────────────────────────┼──────────┼───────┼────────┼──────────┼────────────────────────────────────────────┤ │ BDL │ Flanigan's Enterprises Inc │ AMEX │ 550K │ 1.86M │ 0.05% │ Restaurants │ ├────────┼───────────────────────────────────────┼──────────┼───────┼────────┼──────────┼────────────────────────────────────────────┤ │ RAND │ Rand Capital Corp │ Nasdaq │ 620K │ 2.58M │ 0.01% │ Misc. Financial Services │ ├────────┼───────────────────────────────────────┼──────────┼───────┼────────┼──────────┼────────────────────────────────────────────┤ │ NCSM │ NCS Multistage Holdings Inc │ Nasdaq │ 630K │ 2.38M │ 0.69% │ Oil \u0026amp; Gas - Related Services and Equipment │ ├────────┼───────────────────────────────────────┼──────────┼───────┼────────┼──────────┼────────────────────────────────────────────┤ │ INTG │ Intergroup Corp │ Nasdaq │ 650K │ 2.20M │ 0.62% │ Real Estate Operations │ └────────┴───────────────────────────────────────┴──────────┴───────┴────────┴──────────┴────────────────────────────────────────────┘ "},{"id":572,"href":"/OpenBBTerminal/terminal/stocks/discovery/pipo/","title":"Pipo","parent":"Introduction to Stocks Discovery","content":"usage: pipo [-l LIMIT] [-h] [--export {csv,json,xlsx}] Browse IPOs from recent history, use the \u0026lsquo;-l\u0026rsquo; argument in the command string to include the number of previous days [Source: https://finnhub.io]\noptional arguments: -l LIMIT, --limit LIMIT Limit of past days to look for IPOs. (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:10 (✨) /stocks/disc/ $ pipo IPO Dates ┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┓ ┃ Past ┃ Exchange ┃ Name ┃ Number of Shares ┃ Price ┃ Status ┃ symbol ┃ Total Shares Value ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩ │ 2022-02-16 │ NASDAQ Capital │ SMART FOR LIFE, INC. │ 1800000 │ 9.00-11.00 │ expected │ SMFL │ 22770000 │ ├────────────┼────────────────┼───────────────────────────────┼──────────────────┼────────────┼──────────┼────────┼────────────────────┤ │ 2022-02-15 │ NASDAQ Capital │ ASPAC I Acquisition Corp. │ 6000000 │ 10.00 │ expected │ ASCAU │ 69000000 │ ├────────────┼────────────────┼───────────────────────────────┼──────────────────┼────────────┼──────────┼────────┼────────────────────┤ │ 2022-02-15 │ NASDAQ Global │ Genesis Unicorn Capital Corp. │ 7500000 │ 10.00 │ expected │ GENQU │ 75000000 │ ├────────────┼────────────────┼───────────────────────────────┼──────────────────┼────────────┼──────────┼────────┼────────────────────┤ │ 2022-02-11 │ NASDAQ Global │ Relativity Acquisition Corp │ 12500000 │ 10.00 │ priced │ RACYU │ 125000000 │ ├────────────┼────────────────┼───────────────────────────────┼──────────────────┼────────────┼──────────┼────────┼────────────────────┤ │ 2022-02-11 │ NASDAQ Global │ Signal Hill Acquisition Corp. │ 10000000 │ 10.00 │ priced │ SGHLU │ 100000000 │ ├────────────┼────────────────┼───────────────────────────────┼──────────────────┼────────────┼──────────┼────────┼────────────────────┤ │ 2022-02-11 │ NYSE │ MODIV INC. │ 40000 │ 25.00 │ priced │ MDV │ 1000000 │ ├────────────┼────────────────┼───────────────────────────────┼──────────────────┼────────────┼──────────┼────────┼────────────────────┤ │ 2022-02-11 │ NASDAQ Capital │ Direct Digital Holdings, Inc. │ 2800000 │ 5.50 │ priced │ DRCT │ 15400000 │ ├────────────┼────────────────┼───────────────────────────────┼──────────────────┼────────────┼──────────┼────────┼────────────────────┤ │ 2022-02-11 │ NASDAQ Capital │ TC BioPharm (Holdings) plc │ 4117648 │ 4.25 │ priced │ TCBP │ 17500004 │ ├────────────┼────────────────┼───────────────────────────────┼──────────────────┼────────────┼──────────┼────────┼────────────────────┤ │ 2022-02-11 │ NASDAQ Global │ Jaguar Global Growth Corp I │ 20000000 │ 10.00 │ priced │ JGGCU │ 200000000 │ ├────────────┼────────────────┼───────────────────────────────┼──────────────────┼────────────┼──────────┼────────┼────────────────────┤ │ 2022-02-11 │ NYSE MKT │ HNR Acquisition Corp. │ 7500000 │ 10.00 │ priced │ HNRAU │ 75000000 │ ├────────────┼────────────────┼───────────────────────────────┼──────────────────┼────────────┼──────────┼────────┼────────────────────┤ │ 2022-02-11 │ NASDAQ Capital │ JUPITER NEUROSCIENCES, INC. │ 2200000 │ 6.00-8.00 │ expected │ JUNS │ 20240000 │ └────────────┴────────────────┴───────────────────────────────┴──────────────────┴────────────┴──────────┴────────┴────────────────────┘ "},{"id":573,"href":"/OpenBBTerminal/terminal/stocks/discovery/rtat/","title":"Rtat","parent":"Introduction to Stocks Discovery","content":"usage: rtat [-l LIMIT] [-h] [--export {csv,json,xlsx}] Tracking over $30B USD/day of individual investors trades, RTAT gives a daily view into retail activity and sentiment for over 9,500 US traded stocks, ADRs, and ETPs [Source: https://data.nasdaq.com/retailtradingactivitytracker]\noptional arguments: -l LIMIT, --limit LIMIT limit of days to display (default: 3) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:12 (✨) /stocks/disc/ $ rtat 2022-02-11 Top Retail: ┏━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ Ticker ┃ Activity ┃ Sentiment ┃ ┡━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━┩ │ TSLA │ 0.04 │ 1 │ ├────────┼──────────┼───────────┤ │ TQQQ │ 0.02 │ 6 │ ├────────┼──────────┼───────────┤ │ SQQQ │ 0.02 │ 6 │ ├────────┼──────────┼───────────┤ │ SPY │ 0.03 │ 2 │ ├────────┼──────────┼───────────┤ │ QQQ │ 0.03 │ 0 │ ├────────┼──────────┼───────────┤ │ NVDA │ 0.04 │ 3 │ ├────────┼──────────┼───────────┤ │ MSFT │ 0.02 │ 2 │ ├────────┼──────────┼───────────┤ │ FB │ 0.02 │ 2 │ ├────────┼──────────┼───────────┤ │ AMD │ 0.06 │ 1 │ ├────────┼──────────┼───────────┤ │ AAPL │ 0.03 │ -1 │ └────────┴──────────┴───────────┘ 2022-02-14 Top Retail: ┏━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ Ticker ┃ Activity ┃ Sentiment ┃ ┡━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━┩ │ TSLA │ 0.04 │ 0 │ ├────────┼──────────┼───────────┤ │ TQQQ │ 0.02 │ 2 │ ├────────┼──────────┼───────────┤ │ SQQQ │ 0.02 │ 9 │ ├────────┼──────────┼───────────┤ │ SPY │ 0.03 │ 2 │ ├────────┼──────────┼───────────┤ │ QQQ │ 0.03 │ -1 │ ├────────┼──────────┼───────────┤ │ NVDA │ 0.03 │ 2 │ ├────────┼──────────┼───────────┤ │ MSFT │ 0.02 │ 1 │ ├────────┼──────────┼───────────┤ │ FB │ 0.02 │ 1 │ ├────────┼──────────┼───────────┤ │ AMD │ 0.08 │ -1 │ ├────────┼──────────┼───────────┤ │ AAPL │ 0.03 │ -3 │ └────────┴──────────┴───────────┘ 2022-02-15 Top Retail: ┏━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ Ticker ┃ Activity ┃ Sentiment ┃ ┡━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━┩ │ TSLA │ 0.04 │ 0 │ ├────────┼──────────┼───────────┤ │ TQQQ │ 0.01 │ 5 │ ├────────┼──────────┼───────────┤ │ SPY │ 0.03 │ 2 │ ├────────┼──────────┼───────────┤ │ SPCE │ 0.01 │ 8 │ ├────────┼──────────┼───────────┤ │ QQQ │ 0.03 │ 1 │ ├────────┼──────────┼───────────┤ │ NVDA │ 0.07 │ 2 │ ├────────┼──────────┼───────────┤ │ MSFT │ 0.02 │ 1 │ ├────────┼──────────┼───────────┤ │ FB │ 0.03 │ 1 │ ├────────┼──────────┼───────────┤ │ AMD │ 0.08 │ -2 │ ├────────┼──────────┼───────────┤ │ AAPL │ 0.03 │ -2 │ └────────┴──────────┴───────────┘ "},{"id":574,"href":"/OpenBBTerminal/terminal/stocks/discovery/trending/","title":"Trending","parent":"Introduction to Stocks Discovery","content":"usage: trending [-i N_ID] [-l LIMIT] [-d S_DATE] [-h] [--export {csv,json,xlsx}] Trending news articles from Seeking Alpha.\noptional arguments: -i N_ID, --id N_ID article ID (default: -1) -l LIMIT, --limit LIMIT limit of articles being printed (default: 5) -d S_DATE, --date S_DATE starting date of articles (default: 2022-02-16) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:13 (✨) /stocks/disc/ $ trending -i 10 2010-03-21 08:33:21 Deutsche Bank's Marc Greenberg can't justify the BUD deal. But he says Bud Light Lime is the... https://seekingalpha.com/news/10 Deutsche Bank's Marc Greenberg can't justify the BUD deal. But he says Bud Light Lime is the beer to beat. 2022 Feb 16, 04:13 (✨) /stocks/disc/ $ trending -l 10 2022-02-16 02:00:18 - 3800145 - Shopify Q4 Earnings Preview: What to Expect https://seekingalpha.com/news/3800145-shopify-q4-earnings-preview-what-to-expect 2022-02-15 16:20:21 - 3800395 - Upstart stock soars after Q4 earnings beat, strong guidance, stock buyback https://seekingalpha.com/news/3800395-upstart-stock-soars-after-q4-earnings-beat-strong-guidance-stock-buyback 2022-02-15 11:31:14 - 3800203 - Greenview Capital takes stakes in Alibaba, Amazon https://seekingalpha.com/news/3800203-greenview-capital-takes-stakes-in-alibaba-amazon 2022-02-15 16:38:11 - 3800438 - Roblox shares plunge as metaverse company misses Wall Street's expectations https://seekingalpha.com/news/3800438-roblox-shares-plunge-as-metaverse-company-misses-wall-streets-expectations 2022-02-15 12:39:57 - 3800257 - Sunshine Biopharma announces pricing of $8M public offering, uplisting https://seekingalpha.com/news/3800257-sunshine-biopharma-announces-pricing-of-8m-public-offering-uplisting 2022-02-15 14:06:05 - 3800296 - Cathie Wood’s ARKK a bubble? Let’s look at history https://seekingalpha.com/news/3800296-is-cathie-woods-arkk-a-bubble-lets-look-at-history 2022-02-16 01:38:34 - 3800525 - Flex LNG Non-GAAP EPS of $1.18, revenue of $114.6M beats by $4.38M https://seekingalpha.com/news/3800525-flex-lng-non-gaap-eps-of-118-revenue-of-1146m-beats-by-438m 2022-02-15 19:04:21 - 3800509 - ViacomCBS earnings call: A flood of content feeding transformation to Paramount https://seekingalpha.com/news/3800509-viacomcbs-earnings-call-a-flood-of-content-feeding-transformation-to-paramount 2022-02-16 02:09:27 - 3800529 - Golden Ocean raises dividend by ~6% to $0.90/share https://seekingalpha.com/news/3800529-golden-ocean-raises-dividend-by-6-to-090share 2022-02-15 17:35:20 - 3800169 - Matterport Q4 2021 Earnings Preview https://seekingalpha.com/news/3800169-matterport-q4-2021-earnings-preview "},{"id":575,"href":"/OpenBBTerminal/terminal/stocks/discovery/ugs/","title":"Ugs","parent":"Introduction to Stocks Discovery","content":"usage: ugs [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print up to 25 undervalued stocks with revenue and earnings growth in excess of 25%. [Source: Yahoo Finance]\noptional arguments: -l LIMIT, --limit LIMIT Limit of stocks to display. (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:14 (✨) /stocks/disc/ $ ugs -l 25 Undervalued Growth Stocks ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ Symbol ┃ Name ┃ Price (Intraday) ┃ Change ┃ % Change ┃ Volume ┃ Avg Vol (3 month) ┃ Market Cap ┃ PE Ratio (TTM) ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ BAC │ Bank of America Corporation │ 47.79 │ 0.37 │ +0.78% │ 41.879M │ 52.171M │ 386.04B │ 13.39 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ PFE │ Pfizer Inc. │ 49.79 │ -0.01 │ -0.02% │ 28.167M │ 42.507M │ 279.465B │ 12.92 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ ITUB │ Itaú Unibanco Holding S.A. │ 5.14 │ 0.08 │ +1.58% │ 41.059M │ 45.848M │ 50.269B │ 9.92 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ FCX │ Freeport-McMoRan Inc. │ 43.67 │ 1.22 │ +2.87% │ 15.482M │ 18.44M │ 64.128B │ 15.06 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ VALE │ Vale S.A. │ 17.14 │ -0.35 │ -2.00% │ 33.93M │ 32.586M │ 80.669B │ 4.79 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ WFC │ Wells Fargo \u0026amp; Company │ 58.38 │ 0.53 │ +0.92% │ 17.227M │ 30.109M │ 226.853B │ 11.79 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ GM │ General Motors Company │ 49.67 │ 1.27 │ +2.62% │ 14.813M │ 20.688M │ 72.172B │ 7.41 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ FB │ Meta Platforms, Inc. │ 221.00 │ 3.30 │ +1.52% │ 42.685M │ 29.422M │ 601.549B │ 16.05 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ ATUS │ Altice USA, Inc. │ 14.65 │ 0.71 │ +5.09% │ 4.904M │ 6.156M │ 6.661B │ 6.65 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ MU │ Micron Technology, Inc. │ 96.00 │ 6.14 │ +6.83% │ 27.084M │ 21.734M │ 107.499B │ 14.86 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ HBAN │ Huntington Bancshares Incorporated │ 16.21 │ 0.51 │ +3.25% │ 5.809M │ 12.004M │ 23.306B │ 18.01 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ UMC │ United Microelectronics Corporation │ 9.90 │ 0.41 │ +4.32% │ 14.052M │ 8.722M │ 24.52B │ 12.07 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ VIAC │ ViacomCBS Inc. │ 35.99 │ 0.96 │ +2.74% │ 13.027M │ 14.338M │ 23.436B │ 7.03 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ CMCSA │ Comcast Corporation │ 48.05 │ 0.65 │ +1.37% │ 21.088M │ 23.444M │ 217.822B │ 15.81 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ LYG │ Lloyds Banking Group plc │ 2.82 │ 0.06 │ +2.17% │ 10.023M │ 9.419M │ 53.069B │ 8493.98 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ GFI │ Gold Fields Limited │ 11.79 │ -0.49 │ -3.99% │ 10.13M │ 7.067M │ 10.466B │ 11.19 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ HPQ │ HP Inc. │ 37.37 │ 0.86 │ +2.36% │ 7.367M │ 10.599M │ 40.461B │ 7.01 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ RF │ Regions Financial Corporation │ 25.29 │ 0.77 │ +3.14% │ 7.727M │ 9.327M │ 23.823B │ 10.16 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ QCOM │ QUALCOMM Incorporated │ 173.00 │ 7.87 │ +4.77% │ 11.103M │ 11.057M │ 194.971B │ 19.83 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ DOW │ Dow Inc. │ 61.86 │ 1.03 │ +1.69% │ 4.025M │ 5.732M │ 45.513B │ 7.38 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ KEY │ KeyCorp │ 26.53 │ 0.62 │ +2.39% │ 6.08M │ 8.248M │ 24.642B │ 10.07 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ FITB │ Fifth Third Bancorp │ 49.38 │ 1.15 │ +2.38% │ 3.765M │ 5.432M │ 33.716B │ 13.24 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ RKT │ Rocket Companies, Inc. │ 12.67 │ 0.39 │ +3.18% │ 3.99M │ 4.741M │ 25.179B │ 4.18 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ ING │ ING Groep N.V. │ 14.77 │ 0.30 │ +2.07% │ 4.587M │ 4.233M │ 55.768B │ 10.33 │ ├────────┼─────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ SYF │ Synchrony Financial │ 44.79 │ 0.76 │ +1.73% │ 5.374M │ 5.908M │ 23.348B │ 6.10 │ └────────┴─────────────────────────────────────┴──────────────────┴────────┴──────────┴─────────┴───────────────────┴────────────┴────────────────┘ "},{"id":576,"href":"/OpenBBTerminal/terminal/stocks/discovery/ulc/","title":"Ulc","parent":"Introduction to Stocks Discovery","content":"usage: ulc [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print up to 25 potentially undervalued large cap stocks [Source: https://finance.yahoo.com/screener/predefined/undervalued_large_caps/]\noptional arguments: -l LIMIT, --limit LIMIT Limit of stocks to display. (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:15 (✨) /stocks/disc/ $ ulc -l 25 Undervalued Large Cap Stocks ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ Symbol ┃ Name ┃ Price (Intraday) ┃ Change ┃ % Change ┃ Volume ┃ Avg Vol (3 month) ┃ Market Cap ┃ PE Ratio (TTM) ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ F │ Ford Motor Company │ 18.08 │ 0.62 │ +3.55% │ 64.555M │ 108.718M │ 72.397B │ 4.06 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ NOK │ Nokia Corporation │ 5.60 │ 0.17 │ +3.13% │ 29.464M │ 24.911M │ 32.265B │ 17.07 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ ITUB │ Itaú Unibanco Holding S.A. │ 5.14 │ 0.08 │ +1.58% │ 41.059M │ 45.848M │ 50.269B │ 9.92 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ FCX │ Freeport-McMoRan Inc. │ 43.67 │ 1.22 │ +2.87% │ 15.482M │ 18.44M │ 64.128B │ 15.06 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ PBR │ Petróleo Brasileiro S.A. - Petrobras │ 13.77 │ -0.21 │ -1.50% │ 27.492M │ 31.187M │ 89.809B │ 3.49 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ VALE │ Vale S.A. │ 17.14 │ -0.35 │ -2.00% │ 33.93M │ 32.586M │ 80.669B │ 4.79 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ GOLD │ Barrick Gold Corporation │ 20.68 │ -0.41 │ -1.94% │ 21.46M │ 17.845M │ 36.812B │ 18.56 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ NLY │ Annaly Capital Management, Inc. │ 7.26 │ 0.07 │ +0.97% │ 23.269M │ 22.798M │ 10.598B │ 4.54 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ CLF │ Cleveland-Cliffs Inc. │ 19.77 │ 1.30 │ +7.04% │ 21.478M │ 20.134M │ 10.387B │ 3.69 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ GM │ General Motors Company │ 49.67 │ 1.27 │ +2.62% │ 14.813M │ 20.688M │ 72.172B │ 7.41 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ HBAN │ Huntington Bancshares Incorporated │ 16.21 │ 0.51 │ +3.25% │ 5.809M │ 12.004M │ 23.306B │ 18.01 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ UMC │ United Microelectronics Corporation │ 9.90 │ 0.41 │ +4.32% │ 14.052M │ 8.722M │ 24.52B │ 12.07 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ ET │ Energy Transfer LP │ 10.17 │ 0.07 │ +0.69% │ 13.167M │ 22.73M │ 32.354B │ 5.67 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ VIAC │ ViacomCBS Inc. │ 35.99 │ 0.96 │ +2.74% │ 13.027M │ 14.338M │ 23.436B │ 7.03 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ LUMN │ Lumen Technologies, Inc. │ 10.04 │ 0.13 │ +1.31% │ 22.151M │ 13.534M │ 10.28B │ 5.26 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ HPE │ Hewlett Packard Enterprise Company │ 17.38 │ 0.51 │ +3.02% │ 7.326M │ 10.758M │ 22.48B │ 6.74 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ MRNA │ Moderna, Inc. │ 151.12 │ 8.65 │ +6.07% │ 10.858M │ 10.898M │ 61.272B │ 9.05 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ PBR-A │ Petróleo Brasileiro S.A. - Petrobras │ 12.54 │ -0.10 │ -0.79% │ 11.855M │ 12.201M │ 70.249B │ 3.18 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ LYG │ Lloyds Banking Group plc │ 2.82 │ 0.06 │ +2.17% │ 10.023M │ 9.419M │ 53.069B │ 8493.98 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ SUZ │ Suzano S.A. │ 11.11 │ -0.08 │ -0.71% │ 861227 │ 852793 │ 14.99B │ 9.14 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ GFI │ Gold Fields Limited │ 11.79 │ -0.49 │ -3.99% │ 10.13M │ 7.067M │ 10.466B │ 11.19 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ HPQ │ HP Inc. │ 37.37 │ 0.86 │ +2.36% │ 7.367M │ 10.599M │ 40.461B │ 7.01 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ HAL │ Halliburton Company │ 32.52 │ 0.16 │ +0.49% │ 10.356M │ 11.058M │ 29.222B │ 19.95 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ RF │ Regions Financial Corporation │ 25.29 │ 0.77 │ +3.14% │ 7.727M │ 9.327M │ 23.823B │ 10.16 │ ├────────┼──────────────────────────────────────┼──────────────────┼────────┼──────────┼─────────┼───────────────────┼────────────┼────────────────┤ │ DOW │ Dow Inc. │ 61.86 │ 1.03 │ +1.69% │ 4.025M │ 5.732M │ 45.513B │ 7.38 │ └────────┴──────────────────────────────────────┴──────────────────┴────────┴──────────┴─────────┴───────────────────┴────────────┴────────────────┘ "},{"id":577,"href":"/OpenBBTerminal/terminal/stocks/discovery/upcoming/","title":"Upcoming","parent":"Introduction to Stocks Discovery","content":"usage: upcoming [-l LIMIT] [-p N_PAGES] [-h] [--export {csv,json,xlsx}] Upcoming earnings release dates [Source: https://seekingalpha.com/earnings/earnings-calendar]\noptional arguments: -l LIMIT, --limit LIMIT Limit of upcoming earnings release dates to display. (default: 1) -p N_PAGES, --pages N_PAGES Number of pages to read upcoming earnings from in Seeking Alpha website. (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:17 (✨) /stocks/disc/ $ upcoming Upcoming Earnings Releases ┏━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ ┃ Earnings on 2022-02-16 ┃ ┡━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ GLDD │ Great Lakes Dredge \u0026amp; Dock Corporation │ ├───────┼─────────────────────────────────────────┤ │ BCOR │ Blucora, Inc. │ ├───────┼─────────────────────────────────────────┤ │ BGCP │ BGC Partners, Inc. │ ├───────┼─────────────────────────────────────────┤ │ ADI │ Analog Devices, Inc. │ ├───────┼─────────────────────────────────────────┤ │ KHC │ The Kraft Heinz Company │ ├───────┼─────────────────────────────────────────┤ │ AMCX │ AMC Networks Inc. │ ├───────┼─────────────────────────────────────────┤ │ AIMC │ Altra Industrial Motion Corp. │ ├───────┼─────────────────────────────────────────┤ │ WIX │ Wix.com Ltd. │ ├───────┼─────────────────────────────────────────┤ │ TTD │ The Trade Desk, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CCEP │ Coca-Cola Europacific Partners PLC │ ├───────┼─────────────────────────────────────────┤ │ WING │ Wingstop Inc. │ ├───────┼─────────────────────────────────────────┤ │ DRVN │ Driven Brands Holdings Inc. │ ├───────┼─────────────────────────────────────────┤ │ CSCO │ Cisco Systems, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CPRT │ Copart, Inc. │ ├───────┼─────────────────────────────────────────┤ │ HST │ Host Hotels \u0026amp; Resorts, Inc. │ ├───────┼─────────────────────────────────────────┤ │ NVDA │ NVIDIA Corporation │ ├───────┼─────────────────────────────────────────┤ │ RBBN │ Ribbon Communications Inc. │ ├───────┼─────────────────────────────────────────┤ │ TRIP │ TripAdvisor, Inc. │ ├───────┼─────────────────────────────────────────┤ │ RGLD │ Royal Gold, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CRMT │ America's Car-Mart, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CAKE │ The Cheesecake Factory Incorporated │ ├───────┼─────────────────────────────────────────┤ │ VECO │ Veeco Instruments Inc. │ ├───────┼─────────────────────────────────────────┤ │ SCKT │ Socket Mobile, Inc. │ ├───────┼─────────────────────────────────────────┤ │ PEGA │ Pegasystems Inc. │ ├───────┼─────────────────────────────────────────┤ │ FARO │ FARO Technologies, Inc. │ ├───────┼─────────────────────────────────────────┤ │ RUSHA │ Rush Enterprises, Inc. │ ├───────┼─────────────────────────────────────────┤ │ AXTI │ AXT, Inc. │ ├───────┼─────────────────────────────────────────┤ │ INFN │ Infinera Corporation │ ├───────┼─────────────────────────────────────────┤ │ MMLP │ Martin Midstream Partners L.P. │ ├───────┼─────────────────────────────────────────┤ │ BCOV │ Brightcove Inc. │ ├───────┼─────────────────────────────────────────┤ │ ROIC │ Retail Opportunity Investments Corp. │ ├───────┼─────────────────────────────────────────┤ │ TRUP │ Trupanion, Inc. │ ├───────┼─────────────────────────────────────────┤ │ LOPE │ Grand Canyon Education, Inc. │ ├───────┼─────────────────────────────────────────┤ │ OPI │ Office Properties Income Trust │ ├───────┼─────────────────────────────────────────┤ │ EVER │ EverQuote, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CONE │ CyrusOne Inc. │ ├───────┼─────────────────────────────────────────┤ │ MTTR │ Matterport, Inc. │ ├───────┼─────────────────────────────────────────┤ │ TXG │ 10x Genomics, Inc. │ ├───────┼─────────────────────────────────────────┤ │ APP │ AppLovin Corporation │ ├───────┼─────────────────────────────────────────┤ │ AMPL │ Amplitude, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CTRE │ CareTrust REIT, Inc. │ ├───────┼─────────────────────────────────────────┤ │ KNBE │ KnowBe4, Inc. │ ├───────┼─────────────────────────────────────────┤ │ SBLK │ Star Bulk Carriers Corp. │ ├───────┼─────────────────────────────────────────┤ │ OCDX │ Ortho Clinical Diagnostics Holdings plc │ ├───────┼─────────────────────────────────────────┤ │ OM │ Outset Medical, Inc. │ ├───────┼─────────────────────────────────────────┤ │ ACVA │ ACV Auctions Inc. │ ├───────┼─────────────────────────────────────────┤ │ CNDT │ Conduent Incorporated │ ├───────┼─────────────────────────────────────────┤ │ AUR │ Aurora Innovation, Inc. │ ├───────┼─────────────────────────────────────────┤ │ IBEX │ IBEX Limited │ ├───────┼─────────────────────────────────────────┤ │ GRIN │ Grindrod Shipping Holdings Ltd. │ ├───────┼─────────────────────────────────────────┤ │ PLMR │ Palomar Holdings, Inc. │ ├───────┼─────────────────────────────────────────┤ │ GLBE │ Global-e Online Ltd. │ ├───────┼─────────────────────────────────────────┤ │ WKME │ WalkMe Ltd. │ ├───────┼─────────────────────────────────────────┤ │ ALKS │ Alkermes plc │ ├───────┼─────────────────────────────────────────┤ │ QUIK │ QuickLogic Corporation │ ├───────┼─────────────────────────────────────────┤ │ SPWR │ SunPower Corporation │ ├───────┼─────────────────────────────────────────┤ │ BPMC │ Blueprint Medicines Corporation │ ├───────┼─────────────────────────────────────────┤ │ GOGL │ Golden Ocean Group Limited │ ├───────┼─────────────────────────────────────────┤ │ GLDD │ Great Lakes Dredge \u0026amp; Dock Corporation │ ├───────┼─────────────────────────────────────────┤ │ BCOR │ Blucora, Inc. │ ├───────┼─────────────────────────────────────────┤ │ BGCP │ BGC Partners, Inc. │ ├───────┼─────────────────────────────────────────┤ │ ADI │ Analog Devices, Inc. │ ├───────┼─────────────────────────────────────────┤ │ KHC │ The Kraft Heinz Company │ ├───────┼─────────────────────────────────────────┤ │ AMCX │ AMC Networks Inc. │ ├───────┼─────────────────────────────────────────┤ │ AIMC │ Altra Industrial Motion Corp. │ ├───────┼─────────────────────────────────────────┤ │ WIX │ Wix.com Ltd. │ ├───────┼─────────────────────────────────────────┤ │ TTD │ The Trade Desk, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CCEP │ Coca-Cola Europacific Partners PLC │ ├───────┼─────────────────────────────────────────┤ │ WING │ Wingstop Inc. │ ├───────┼─────────────────────────────────────────┤ │ DRVN │ Driven Brands Holdings Inc. │ ├───────┼─────────────────────────────────────────┤ │ CSCO │ Cisco Systems, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CPRT │ Copart, Inc. │ ├───────┼─────────────────────────────────────────┤ │ HST │ Host Hotels \u0026amp; Resorts, Inc. │ ├───────┼─────────────────────────────────────────┤ │ NVDA │ NVIDIA Corporation │ ├───────┼─────────────────────────────────────────┤ │ RBBN │ Ribbon Communications Inc. │ ├───────┼─────────────────────────────────────────┤ │ TRIP │ TripAdvisor, Inc. │ ├───────┼─────────────────────────────────────────┤ │ RGLD │ Royal Gold, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CRMT │ America's Car-Mart, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CAKE │ The Cheesecake Factory Incorporated │ ├───────┼─────────────────────────────────────────┤ │ VECO │ Veeco Instruments Inc. │ ├───────┼─────────────────────────────────────────┤ │ SCKT │ Socket Mobile, Inc. │ ├───────┼─────────────────────────────────────────┤ │ PEGA │ Pegasystems Inc. │ ├───────┼─────────────────────────────────────────┤ │ FARO │ FARO Technologies, Inc. │ ├───────┼─────────────────────────────────────────┤ │ RUSHA │ Rush Enterprises, Inc. │ ├───────┼─────────────────────────────────────────┤ │ AXTI │ AXT, Inc. │ ├───────┼─────────────────────────────────────────┤ │ INFN │ Infinera Corporation │ ├───────┼─────────────────────────────────────────┤ │ MMLP │ Martin Midstream Partners L.P. │ ├───────┼─────────────────────────────────────────┤ │ BCOV │ Brightcove Inc. │ ├───────┼─────────────────────────────────────────┤ │ ROIC │ Retail Opportunity Investments Corp. │ ├───────┼─────────────────────────────────────────┤ │ TRUP │ Trupanion, Inc. │ ├───────┼─────────────────────────────────────────┤ │ LOPE │ Grand Canyon Education, Inc. │ ├───────┼─────────────────────────────────────────┤ │ OPI │ Office Properties Income Trust │ ├───────┼─────────────────────────────────────────┤ │ EVER │ EverQuote, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CONE │ CyrusOne Inc. │ ├───────┼─────────────────────────────────────────┤ │ MTTR │ Matterport, Inc. │ ├───────┼─────────────────────────────────────────┤ │ TXG │ 10x Genomics, Inc. │ ├───────┼─────────────────────────────────────────┤ │ APP │ AppLovin Corporation │ ├───────┼─────────────────────────────────────────┤ │ AMPL │ Amplitude, Inc. │ ├───────┼─────────────────────────────────────────┤ │ CTRE │ CareTrust REIT, Inc. │ ├───────┼─────────────────────────────────────────┤ │ KNBE │ KnowBe4, Inc. │ ├───────┼─────────────────────────────────────────┤ │ SBLK │ Star Bulk Carriers Corp. │ ├───────┼─────────────────────────────────────────┤ │ OCDX │ Ortho Clinical Diagnostics Holdings plc │ ├───────┼─────────────────────────────────────────┤ │ OM │ Outset Medical, Inc. │ ├───────┼─────────────────────────────────────────┤ │ ACVA │ ACV Auctions Inc. │ ├───────┼─────────────────────────────────────────┤ │ CNDT │ Conduent Incorporated │ ├───────┼─────────────────────────────────────────┤ │ AUR │ Aurora Innovation, Inc. │ ├───────┼─────────────────────────────────────────┤ │ IBEX │ IBEX Limited │ ├───────┼─────────────────────────────────────────┤ │ GRIN │ Grindrod Shipping Holdings Ltd. │ ├───────┼─────────────────────────────────────────┤ │ PLMR │ Palomar Holdings, Inc. │ ├───────┼─────────────────────────────────────────┤ │ GLBE │ Global-e Online Ltd. │ ├───────┼─────────────────────────────────────────┤ │ WKME │ WalkMe Ltd. │ ├───────┼─────────────────────────────────────────┤ │ ALKS │ Alkermes plc │ ├───────┼─────────────────────────────────────────┤ │ QUIK │ QuickLogic Corporation │ ├───────┼─────────────────────────────────────────┤ │ SPWR │ SunPower Corporation │ ├───────┼─────────────────────────────────────────┤ │ BPMC │ Blueprint Medicines Corporation │ ├───────┼─────────────────────────────────────────┤ │ GOGL │ Golden Ocean Group Limited │ └───────┴─────────────────────────────────────────┘ "},{"id":578,"href":"/OpenBBTerminal/terminal/stocks/due_diligence/","title":"Due Diligence","parent":"Introduction to Stocks","content":"Due diligence is a process that involves doing an investigation, audit, or review to verify facts or information about a subject. Due diligence in the financial industry entails a review of financial records prior to entering into a proposed deal with another party.\nAvailable commands Analyst Arktrades Customer Est Pt Rating Rot Sec Supplier "},{"id":579,"href":"/OpenBBTerminal/terminal/stocks/due_diligence/analyst/","title":"Analyst","parent":"Due Diligence","content":"usage: analyst [-h] [--export {csv,json,xlsx}] Print analyst prices and ratings of the company. The following fields are expected: date, analyst, category, price from, price to, and rating. [Source: Finviz]\noptional arguments: -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Example:\n2022 Feb 16, 04:20 (✨) /stocks/dd/ $ analyst Display Analyst Ratings ┏━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ ┃ category ┃ analyst ┃ rating ┃ target ┃ target_from ┃ target_to ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━┩ │ 2022-01-31 │ Upgrade │ Credit Suisse │ Neutral -\u0026gt; Outperform │ 1025.00 │ nan │ nan │ ├────────────┼────────────┼─────────────────┼───────────────────────┼─────────┼─────────────┼───────────┤ │ 2022-01-27 │ Reiterated │ Wells Fargo │ Equal Weight │ nan │ 860.00 │ 910.00 │ ├────────────┼────────────┼─────────────────┼───────────────────────┼─────────┼─────────────┼───────────┤ │ 2022-01-27 │ Reiterated │ Robert W. Baird │ Outperform │ nan │ 888.00 │ 1108.00 │ ├────────────┼────────────┼─────────────────┼───────────────────────┼─────────┼─────────────┼───────────┤ │ 2022-01-27 │ Reiterated │ Oppenheimer │ Outperform │ nan │ 1080.00 │ 1103.00 │ ├────────────┼────────────┼─────────────────┼───────────────────────┼─────────┼─────────────┼───────────┤ │ 2022-01-27 │ Reiterated │ JP Morgan │ Underweight │ nan │ 295.00 │ 325.00 │ └────────────┴────────────┴─────────────────┴───────────────────────┴─────────┴─────────────┴───────────┘ "},{"id":580,"href":"/OpenBBTerminal/terminal/stocks/due_diligence/arktrades/","title":"Arktrades","parent":"Due Diligence","content":"usage: arktrades [-l LIMIT] [-s] [-h] [--export {csv,json,xlsx}] Get trades for the loaded ticker across all ARK funds.\noptional arguments: -l LIMIT, --limit LIMIT Limit of rows to show -s, --show_ticker Flag to show ticker in table -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Example:\n2022 Feb 16, 04:23 (✨) /stocks/dd/ $ arktrades ARK Trades ┏━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ ┃ shares ┃ weight ┃ fund ┃ direction ┃ everything.profile.companyName ┃ Close ($) ┃ Total ($1M) ┃ ┡━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━┩ │ 2020-08-24 │ 9891 │ 0.18 │ ARKQ │ Sell │ Apple Inc. │ 125.86 │ 1.24 │ ├────────────┼────────┼────────┼──────┼───────────┼────────────────────────────────┼───────────┼─────────────┤ │ 2020-08-24 │ 14278 │ 0.25 │ ARKW │ Sell │ Apple Inc. │ 125.86 │ 1.80 │ ├────────────┼────────┼────────┼──────┼───────────┼────────────────────────────────┼───────────┼─────────────┤ │ 2020-08-25 │ 27722 │ 0.50 │ ARKF │ Sell │ Apple Inc. │ 124.82 │ 3.46 │ ├────────────┼────────┼────────┼──────┼───────────┼────────────────────────────────┼───────────┼─────────────┤ │ 2020-09-08 │ 14631 │ 0.20 │ ARKQ │ Sell │ Apple Inc. │ 112.82 │ 1.65 │ ├────────────┼────────┼────────┼──────┼───────────┼────────────────────────────────┼───────────┼─────────────┤ │ 2020-09-08 │ 90983 │ 0.82 │ ARKW │ Sell │ Apple Inc. │ 112.82 │ 10.26 │ ├────────────┼────────┼────────┼──────┼───────────┼────────────────────────────────┼───────────┼─────────────┤ │ 2020-09-09 │ 34120 │ 0.18 │ ARKW │ Sell │ Apple Inc. │ 117.32 │ 4.00 │ ├────────────┼────────┼────────┼──────┼───────────┼────────────────────────────────┼───────────┼─────────────┤ │ 2020-09-09 │ 24678 │ 0.51 │ ARKF │ Sell │ Apple Inc. │ 117.32 │ 2.90 │ ├────────────┼────────┼────────┼──────┼───────────┼────────────────────────────────┼───────────┼─────────────┤ │ 2020-09-28 │ 8397 │ 0.15 │ ARKQ │ Sell │ Apple Inc. │ 114.96 │ 0.97 │ ├────────────┼────────┼────────┼──────┼───────────┼────────────────────────────────┼───────────┼─────────────┤ │ 2020-10-14 │ 125517 │ 0.52 │ ARKG │ Buy │ Apple Inc. │ 121.19 │ 15.21 │ ├────────────┼────────┼────────┼──────┼───────────┼────────────────────────────────┼───────────┼─────────────┤ │ 2020-10-30 │ 128557 │ 0.50 │ ARKG │ Sell │ Apple Inc. │ 108.86 │ 13.99 │ └────────────┴────────┴────────┴──────┴───────────┴────────────────────────────────┴───────────┴─────────────┘ "},{"id":581,"href":"/OpenBBTerminal/terminal/stocks/due_diligence/customer/","title":"Customer","parent":"Due Diligence","content":"usage: customer [-h] [--export {csv,json,xlsx}] List of customers from ticker provided. [Source: CSIMarket]\noptional arguments: -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Example (Apple and Tesla):\n2022 Feb 16, 04:25 (✨) /stocks/dd/ $ customer List of Customers: AMZN, T, AT, BBY, BIG, AVGO, EBAY, GME, LIVE, PTC, S, TMUS, TGT, WMT 2022 Feb 16, 04:26 (✨) /stocks/dd/ $ customer List of Customers: Y, ALL, AIG, ACGL, AWH, AN, AZO, AVID, CAR, AXS, BRKA, BLBD, BRO, KMX, CAT, CUII, CINF, CRUS, CNFR, DGICA, DORM, DSPG, ESGR, ESNT, FNHC, GM, GBLI, HALL, THG, HCI, HRTG, HMN, JRVR, JANL, KMPR, KINS, KFS, KNX, KN, KOSS, LEAF, L, MKL, MCY, MET, MPAA, NSEC, ORLY, ORI, OSK, OB, PGR, REVG, SAFT, SMP, STFC, HIG, TRV, GTS, TRUE, UNAM, UFCS, UIHC, UVE, WRB, WTM, XL "},{"id":582,"href":"/OpenBBTerminal/terminal/stocks/due_diligence/est/","title":"Est","parent":"Due Diligence","content":"usage: est [-h] [--export {csv,json,xlsx}] Yearly estimates and quarter earnings/revenues. [Source: Business Insider]\noptional arguments: -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Example:\n2022 Feb 16, 04:28 (✨) /stocks/dd/ $ est Annual Earnings Estimates ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ 2022 ┃ 2023 ┃ 2024 ┃ 2025 ┃ 2026 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━┩ │ Revenue │ 198,840 │ 227,368 │ 258,184 │ 304,349 │ 329,924 │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Dividend │ - │ - │ 2.57 │ 3.16 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Dividend Yield (in %) │ 0.79 % │ 0.79 % │ 0.86 % │ 1.05 % │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ EPS │ 9.38 │ 10.79 │ 12.56 │ 15.45 │ 18.44 │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ P/E Ratio │ 31.96 │ 27.79 │ 23.87 │ 19.40 │ 16.26 │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ EBIT │ 84,138 │ 96,475 │ 113,177 │ - │ 147,282 │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ EBITDA │ 99,584 │ 115,199 │ 132,683 │ 104,977 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Net Profit │ - │ - │ - │ 96,935 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Net Profit Adjusted │ 70,912 │ 80,815 │ 93,717 │ 96,935 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Pre-Tax Profit │ - │ - │ - │ 113,454 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Net Profit (Adjusted) │ - │ - │ - │ - │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ EPS (Non-GAAP) ex. SOE │ 9.38 │ 10.79 │ 12.56 │ 15.45 │ 18.44 │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ EPS (GAAP) │ - │ - │ - │ 17.40 │ 18.27 │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Gross Income │ 136,567 │ 155,747 │ 179,297 │ 191,558 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Cash Flow from Investing │ -21,317 │ -29,939 │ -34,696 │ -36,887 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Cash Flow from Operations │ 91,127 │ 107,754 │ 122,969 │ 123,564 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Cash Flow from Financing │ -49,957 │ -49,910 │ -54,405 │ -57,207 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Cash Flow per Share │ 11.46 │ 14.30 │ 16.69 │ - │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Free Cash Flow │ 64,929 │ 76,285 │ 88,074 │ 114,306 │ 136,804 │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Free Cash Flow per Share │ 8.48 │ 10.04 │ 11.82 │ 11.77 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Book Value per Share │ 24.31 │ 29.34 │ 36.58 │ - │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Net Debt │ - │ - │ - │ -173,383 │ -228,921 │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Research \u0026amp; Development Exp. │ 23,771 │ 26,576 │ 29,532 │ 32,650 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Capital Expenditure │ - │ - │ - │ 36,887 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Selling, General \u0026amp; Admin. Exp. │ 28,218 │ 31,017 │ 32,224 │ - │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Shareholder’s Equity │ 175,057 │ 214,492 │ 253,332 │ 243,941 │ - │ ├────────────────────────────────┼─────────┼─────────┼─────────┼──────────┼──────────┤ │ Total Assets │ 368,815 │ 418,601 │ 427,972 │ 400,662 │ - │ └────────────────────────────────┴─────────┴─────────┴─────────┴──────────┴──────────┘ Quarterly Earnings Estimates ┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ ┃ ┃ Previous Quarter ┃ Current Quarter ┃ Next Quarter ┃ Current Year ┃ Next Year ┃ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ │ Date │ - │ - │ ending 06/29/22 │ ending 06/29/22 │ ending 06/29/23 │ ├──────────────────┼──────────────────┼─────────────────┼─────────────────┼─────────────────┼─────────────────┤ │ No. of Analysts │ - │ - │ - │ - │ - │ ├──────────────────┼──────────────────┼─────────────────┼─────────────────┼─────────────────┼─────────────────┤ │ Average Estimate │ - │ - │ - │ - │ - │ ├──────────────────┼──────────────────┼─────────────────┼─────────────────┼─────────────────┼─────────────────┤ │ Year Ago │ - │ - │ - │ - │ - │ ├──────────────────┼──────────────────┼─────────────────┼─────────────────┼─────────────────┼─────────────────┤ │ Publish Date │ - │ - │ - │ - │ - │ └──────────────────┴──────────────────┴─────────────────┴─────────────────┴─────────────────┴─────────────────┘ Quarterly Revenue Estimates ┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ ┃ ┃ Previous Quarter ┃ Current Quarter ┃ Next Quarter ┃ Current Year ┃ Next Year ┃ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ │ Date │ - │ - │ ending 06/29/22 │ ending 06/29/22 │ ending 06/29/23 │ ├──────────────────┼──────────────────┼─────────────────┼─────────────────┼─────────────────┼─────────────────┤ │ No. of Analysts │ - │ - │ - │ - │ - │ ├──────────────────┼──────────────────┼─────────────────┼─────────────────┼─────────────────┼─────────────────┤ │ Average Estimate │ - │ - │ - │ - │ - │ ├──────────────────┼──────────────────┼─────────────────┼─────────────────┼─────────────────┼─────────────────┤ │ Year Ago │ - │ - │ - │ - │ - │ ├──────────────────┼──────────────────┼─────────────────┼─────────────────┼─────────────────┼─────────────────┤ │ Publish Date │ - │ - │ - │ - │ - │ └──────────────────┴──────────────────┴─────────────────┴─────────────────┴─────────────────┴─────────────────┘ "},{"id":583,"href":"/OpenBBTerminal/terminal/stocks/due_diligence/pt/","title":"Pt","parent":"Due Diligence","content":"usage: pt [--raw] [-l LIMIT] [-h] [--export {csv,json,xlsx}] Prints price target from analysts. [Source: Business Insider]\noptional arguments: --raw Only output raw data -l LIMIT, --limit LIMIT Limit of latest price targets from analysts to print. -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx "},{"id":584,"href":"/OpenBBTerminal/terminal/stocks/due_diligence/rating/","title":"Rating","parent":"Due Diligence","content":"usage: rating [-l LIMIT] [-h] [--export {csv,json,xlsx}] Based on specific ratios, prints information whether the company is a (strong) buy, neutral or a (strong) sell. The following fields are expected: P/B, ROA, DCF, P/E, ROE, and D/E. [Source: Financial Modeling Prep]\noptional arguments: -l LIMIT, --limit LIMIT limit of last days to display ratings -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xls Example (Google):\n2022 Feb 16, 04:34 (✨) /stocks/dd/ $ rating Rating ┏━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ Rating ┃ DCF ┃ ROE ┃ ROA ┃ DE ┃ PE ┃ PB ┃ ┡━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ 2022-02-15 │ Buy │ Strong Buy │ Neutral │ Neutral │ Neutral │ Strong Buy │ Strong Buy │ ├────────────┼────────┼────────────┼─────────┼─────────┼─────────┼────────────┼────────────┤ │ 2022-02-14 │ Buy │ Strong Buy │ Neutral │ Neutral │ Neutral │ Strong Buy │ Strong Buy │ ├────────────┼────────┼────────────┼─────────┼─────────┼─────────┼────────────┼────────────┤ │ 2022-02-11 │ Buy │ Strong Buy │ Neutral │ Neutral │ Neutral │ Strong Buy │ Strong Buy │ ├────────────┼────────┼────────────┼─────────┼─────────┼─────────┼────────────┼────────────┤ │ 2022-02-10 │ Buy │ Strong Buy │ Neutral │ Neutral │ Neutral │ Strong Buy │ Strong Buy │ ├────────────┼────────┼────────────┼─────────┼─────────┼─────────┼────────────┼────────────┤ │ 2022-02-09 │ Buy │ Strong Buy │ Neutral │ Neutral │ Neutral │ Strong Buy │ Strong Buy │ └────────────┴────────┴────────────┴─────────┴─────────┴─────────┴────────────┴────────────┘ "},{"id":585,"href":"/OpenBBTerminal/terminal/stocks/due_diligence/rot/","title":"Rot","parent":"Due Diligence","content":"usage: rot [-l LIMIT] [--raw] [-h] [--export {csv,json,xlsx}] Plots ratings over time for the loaded ticker [Source: https://finnhub.io/]\noptional arguments: -l LIMIT, --limit LIMIT Limit of last months --raw Only output raw data -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx "},{"id":586,"href":"/OpenBBTerminal/terminal/stocks/due_diligence/sec/","title":"Sec","parent":"Due Diligence","content":"usage: sec [-l LIMIT] [-h] [--export {csv,json,xlsx}] Prints SEC filings of the company. The following fields are expected: Filing Date, Document Date, Type, Category, Amended, and Link. [Source: Market Watch]\noptional arguments: -l LIMIT, --limit LIMIT number of latest SEC filings. -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Example:\n2022 Feb 16, 04:37 (✨) /stocks/dd/ $ sec -l 10 SEC Filings ┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ ┃ Document Date ┃ Type ┃ Category ┃ Amended ┃ Link ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ 02/15/2022 │ N/A │ SC 13G/A │ Institutional Ownership │ * │ https://www.marketwatch.com/investing/stock/tsla/financials/secfilings?docid=15572277 │ ├────────────┼───────────────┼──────────┼─────────────────────────┼─────────┼───────────────────────────────────────────────────────────────────────────────────────┤ │ 02/14/2022 │ N/A │ SC 13G/A │ Institutional Ownership │ * │ https://www.marketwatch.com/investing/stock/tsla/financials/secfilings?docid=15565323 │ ├────────────┼───────────────┼──────────┼─────────────────────────┼─────────┼───────────────────────────────────────────────────────────────────────────────────────┤ │ 02/10/2022 │ N/A │ SC 13G/A │ Institutional Ownership │ * │ https://www.marketwatch.com/investing/stock/tsla/financials/secfilings?docid=15548625 │ ├────────────┼───────────────┼──────────┼─────────────────────────┼─────────┼───────────────────────────────────────────────────────────────────────────────────────┤ │ 02/08/2022 │ N/A │ SC 13G │ Institutional Ownership │ │ https://www.marketwatch.com/investing/stock/tsla/financials/secfilings?docid=15541156 │ ├────────────┼───────────────┼──────────┼─────────────────────────┼─────────┼───────────────────────────────────────────────────────────────────────────────────────┤ │ 02/07/2022 │ 12/31/2021 │ 10-K │ Annual Reports │ │ https://www.marketwatch.com/investing/stock/tsla/financials/secfilings?docid=15534769 │ ├────────────┼───────────────┼──────────┼─────────────────────────┼─────────┼───────────────────────────────────────────────────────────────────────────────────────┤ │ 01/26/2022 │ 01/26/2022 │ 8-K │ Special Events │ │ https://www.marketwatch.com/investing/stock/tsla/financials/secfilings?docid=15502788 │ ├────────────┼───────────────┼──────────┼─────────────────────────┼─────────┼───────────────────────────────────────────────────────────────────────────────────────┤ │ 01/03/2022 │ 01/02/2022 │ 8-K │ Special Events │ │ https://www.marketwatch.com/investing/stock/tsla/financials/secfilings?docid=15453642 │ ├────────────┼───────────────┼──────────┼─────────────────────────┼─────────┼───────────────────────────────────────────────────────────────────────────────────────┤ │ 12/01/2021 │ 12/01/2021 │ 8-K │ Special Events │ │ https://www.marketwatch.com/investing/stock/tsla/financials/secfilings?docid=15394282 │ ├────────────┼───────────────┼──────────┼─────────────────────────┼─────────┼───────────────────────────────────────────────────────────────────────────────────────┤ │ 10/25/2021 │ 09/30/2021 │ 10-Q │ Quarterly Reports │ │ https://www.marketwatch.com/investing/stock/tsla/financials/secfilings?docid=15297229 │ ├────────────┼───────────────┼──────────┼─────────────────────────┼─────────┼───────────────────────────────────────────────────────────────────────────────────────┤ │ 10/20/2021 │ 10/20/2021 │ 8-K │ Special Events │ │ https://www.marketwatch.com/investing/stock/tsla/financials/secfilings?docid=15291361 │ └────────────┴───────────────┴──────────┴─────────────────────────┴─────────┴───────────────────────────────────────────────────────────────────────────────────────┘ "},{"id":587,"href":"/OpenBBTerminal/terminal/stocks/due_diligence/supplier/","title":"Supplier","parent":"Due Diligence","content":"usage: supplier [--export {csv,json,xlsx}] [-h] List of suppliers from ticker provided. Source: https://CSImarket.com\noptional arguments: --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file -h, --help show this help message "},{"id":588,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/","title":"Fundamental Analysis","parent":"Introduction to Stocks","content":"Fundamental analysis (FA) is a way of determining the intrinsic value of a securities by looking at connected economic and financial elements. Fundamental analysts look at everything that can influence the value of a security, from macroeconomic issues like the state of the economy and industry circumstances to microeconomic elements like the company\u0026rsquo;s management performance.\nThe ultimate goal is to arrive at a number that can be compared to the present price of a security to determine whether it is undervalued or overvalued.\nAvailable commands Analysis Balance Cal Cash Dcf Divs Dupont Earnings Fmp Balance Cash Dcf Enterprise Growth Income Metrics Profile Quote Ratios Fraud Hq Income Info Key Mgmt Mktcap Overview Score Shrs Splits Sust Warnings Web "},{"id":589,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/analysis/","title":"Analysis","parent":"Fundamental Analysis","content":"usage: analysis [-h] [--export {csv,json,xlsx}] Display analysis of SEC filings based on NLP model. Source: https://eclect.us\nFor an explanation on how the NLP model is trained, refer to the example here: https://medium.com/@gonnellcough/predicting-equity-price-movement-from-financial-statements-using-nlp-c324b3f95bd\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Sample of output using MSFT as the loaded ticker:\nRISK FACTORS: We may not proactively discover such content due to scale and the limitations of existing technologies, and when discovered by users, such content may negatively affect our reputation, our brands, and user engagement. These acquisitions and other transactions and arrangements involve significant challenges and risks, including that they do not advance our business strategy, that we get an unsatisfactory return on our investment, that we have difficulty integrating and retaining new employees, business systems, and technology, that they distract management from our other businesses, or that announced transactions may not be completed. The occurrence of regional epidemics or a global pandemic may adversely affect our operations, financial condition, and results of operations. Despite our efforts to protect customer and user data, perceptions that the collection, use, and retention of personal information is not satisfactorily protected could inhibit sales of our products or services and could limit adoption of our cloud-based solutions by consumers, businesses, and government entities. For example, compliance with the 2017 United States Tax Cuts and Jobs Act (“ TCJA”) and possible future legislative changes may require the collection of information not regularly produced within the Company, the use of estimates in our consolidated financial statements, and the exercise of significant judgment in accounting for its provisions. Any defects we do not detect and fix in pre-release testing could cause reduced sales and revenue, damage to our reputation, repair or remediation costs, delays in the release of new products or versions, or legal liability. The extent to which the COVID-19 pandemic impacts our business going forward will depend on numerous evolving factors we cannot reliably predict, including the duration and scope of the pandemic; governmental, business, and individuals'actions in response to the pandemic; and the impact on economic activity including the possibility of recession or financial market instability. These events could negatively impact our results of operations, financial condition, and reputation. We acquire some device and datacenter components from sole suppliers. An IoT solution has multiple layers of hardware, sensors, processors, software, and firmware, several of which we may not develop or control. If a component from a sole-source supplier is delayed or becomes unavailable, whether because of supplier capacity constraint, industry shortages, legal or regulatory changes that restrict supply sources, or other reasons, we may not obtain timely replacement supplies, resulting in reduced sales or inadequate datacenter capacity. DISCUSSION AND ANALYSIS: Highlights from the first quarter of fiscal year 2022 compared with the first quarter of fiscal year 2021 included: 31 PART I Item 2 Industry Trends Our industry is dynamic and highly competitive, with frequent changes in both technologies and business models. Seasonality Our revenue fluctuates quarterly and is generally higher in the second and fourth quarters of our fiscal year. Revenue, gross margin, and operating income included a favorable foreign currency impact of 2%, 2%, and 3%, respectively. Gross margin increased $5.5 billion or 21% driven by growth across each of our segments. Second quarter revenue is driven by corporate year-end spending trends in our major markets and holiday season spending by consumers, and fourth quarter revenue is driven by the volume of multi-year on-premises contracts executed during the period. More Personal Computing Revenue increased $1.5 billion or 12%. Operating expenses increased $1.2 billion or 11% driven by investments in cloud engineering, Gaming, and commercial sales. INCOME TAXES Effective Tax Rate Our effective tax rate was 0% and 14% for the three months ended September 30, 2021 and 2020, respectively. Revenue, gross margin, and operating income included a favorable foreign currency impact of 2%, 2%, and 4%, respectively. Cost of revenue increased $2.6 billion or 24% driven by growth in Microsoft Cloud and Gaming. The acquisition has been approved by Nuance’ s shareholders, and we expect it to close by the end of the second quarter or early in the third quarter of fiscal year 2022, subject to the satisfaction of certain regulatory approvals and other customary closing conditions. 36 PART I Item 2 Intelligent Cloud Revenue increased $4.0 billion or 31%. The decrease in our effective tax rate for the current quarter compared to the prior year was primarily due to a $3.3 billion net income tax benefit in the first quarter of fiscal year 2022 related to the transfer of intangible properties. Key changes in operating expenses were: Operating income increased $4.4 billion or 27% driven by growth across each of our segments. In the first quarter of fiscal year 2022, we transferred certain intangible properties from our Puerto Rico subsidiary to the U. S. The transfer of intangible properties resulted in a $3.3 billion net income tax benefit in the first quarter of fiscal year 2022, as the value of future U. S. tax deductions exceeds the current tax liability from the U. S. global intangible low-taxed income tax. "},{"id":590,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/balance/","title":"Balance","parent":"Fundamental Analysis","content":"usage: balance [-l LIMIT] [-q] [-h] [--export {csv,json,xlsx}] Prints a complete balance sheet statement over time. This can be either quarterly or annually. [Source: Alpha Vantage]\noptional arguments: -l LIMIT, --limit LIMIT Number of latest years/quarters. (default: 1) -q, --quarter Quarter fundamental data flag. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:44 (✨) /stocks/fa/ $ balance -l 4 MU Balance Sheet ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ 2018-08-30 ┃ 2019-08-29 ┃ 2020-09-03 ┃ 2021-09-02 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ reportedCurrency │ USD │ USD │ USD │ USD │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalAssets │ 43.376 B │ 48.887 B │ 53.678 B │ 58.849 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalCurrentAssets │ 16.039 B │ 16.503 B │ 17.965 B │ 19.907 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ cashAndCashEquivalentsAtCarryingValue │ 6.506 B │ 7.152 B │ 7.624 B │ 7.763 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ cashAndShortTermInvestments │ 6.506 B │ 7.955 B │ 8.142 B │ 8.633 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ inventory │ 3.595 B │ 5.118 B │ 5.373 B │ 4.487 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ currentNetReceivables │ None │ 3.195 B │ 3.912 B │ 5.311 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalNonCurrentAssets │ 26.396 B │ 32.511 B │ 5.174 B │ 6.495 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ propertyPlantEquipment │ 23.672 B │ 28.240 B │ 31.615 B │ 33.764 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ accumulatedDepreciationAmortizationPPE │ 25.419 B │ 29.584 B │ None │ None │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ intangibleAssets │ 1.559 B │ 1.568 B │ 1.562 B │ 1.577 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ intangibleAssetsExcludingGoodwill │ 331 M │ 340 M │ 334 M │ 349 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ goodwill │ 1.228 B │ 1.228 B │ 1.228 B │ 1.228 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ investments │ 769 M │ 1.967 B │ 1.566 B │ 2.635 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ longTermInvestments │ 473 M │ 1.164 B │ 1.048 B │ 1.765 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ shortTermInvestments │ 296 M │ 803 M │ 518 M │ 870 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ otherCurrentAssets │ 164 M │ 235 M │ 538 M │ 502 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ otherNonCurrrentAssets │ 611 M │ 575 M │ 781 M │ 1.054 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalLiabilities │ 10.112 B │ 12.019 B │ 14.682 B │ 14.916 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalCurrentLiabilities │ 5.754 B │ 6.390 B │ 6.635 B │ 6.424 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ currentAccountsPayable │ 1.923 B │ 1.840 B │ 2.357 B │ 2.090 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ deferredRevenue │ None │ 130 M │ 65 M │ 74 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ currentDebt │ 859 M │ 1.310 B │ 270 M │ 155 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ shortTermDebt │ 859 M │ 1.087 B │ 194 M │ 155 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalNonCurrentLiabilities │ 4.358 B │ 4.997 B │ 7.404 B │ 7.684 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ capitalLeaseObligations │ 845 M │ 368 M │ 410 M │ 649 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ longTermDebt │ 4.898 B │ 5.755 B │ 6.157 B │ 5.968 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ currentLongTermDebt │ 549 M │ 1.087 B │ 194 M │ 155 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ longTermDebtNoncurrent │ None │ None │ None │ None │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ shortLongTermDebtTotal │ 4.898 B │ 5.755 B │ 6.351 B │ 7.280 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ otherCurrentLiabilities │ 3.778 B │ 454 M │ 548 M │ 944 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ otherNonCurrentLiabilities │ 581 M │ 452 M │ 498 M │ 559 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalShareholderEquity │ 32.294 B │ 35.881 B │ 38.996 B │ 43.933 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ treasuryStock │ 429 M │ 3.221 B │ 3.495 B │ 4.695 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ retainedEarnings │ 24.395 B │ 30.761 B │ 33.384 B │ 39.051 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ commonStock │ 117 M │ 118 M │ 119 M │ 122 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ commonStockSharesOutstanding │ 1.161 B │ 1.106 B │ 1.113 B │ 1.119 B │ └────────────────────────────────────────┴────────────┴────────────┴────────────┴────────────┘ 2022 Feb 16, 04:44 (✨) /stocks/fa/ $ balance -l 4 -q MU Balance Sheet ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ 2021-03-04 ┃ 2021-06-03 ┃ 2021-09-02 ┃ 2021-12-02 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ reportedCurrency │ USD │ USD │ USD │ USD │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalAssets │ 54.135 B │ 55.943 B │ 58.849 B │ 61.246 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalCurrentAssets │ 17.279 B │ 18.561 B │ 19.907 B │ 20.191 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ cashAndCashEquivalentsAtCarryingValue │ 6.507 B │ 7.759 B │ 7.763 B │ 8.680 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ cashAndShortTermInvestments │ 6.507 B │ 7.759 B │ 8.633 B │ 9.580 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ inventory │ 4.743 B │ 4.537 B │ 4.487 B │ 4.827 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ currentNetReceivables │ 3.353 B │ 4.231 B │ 5.311 B │ 5.250 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalNonCurrentAssets │ 36.856 B │ 37.382 B │ 6.495 B │ 6.786 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ propertyPlantEquipment │ 32.423 B │ 32.767 B │ 33.764 B │ 35.729 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ accumulatedDepreciationAmortizationPPE │ None │ None │ None │ None │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ intangibleAssets │ 1.570 B │ 1.578 B │ 1.577 B │ 1.575 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ intangibleAssetsExcludingGoodwill │ 342 M │ 350 M │ 349 M │ 347 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ goodwill │ 1.228 B │ 1.228 B │ 1.228 B │ 1.228 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ investments │ None │ None │ 2.635 B │ 2.717 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ longTermInvestments │ 1.316 B │ 1.399 B │ 1.765 B │ 1.817 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ shortTermInvestments │ 677 M │ 590 M │ 870 M │ 900 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ otherCurrentAssets │ 538 M │ 478 M │ 502 M │ 521 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ otherNonCurrrentAssets │ 821 M │ 816 M │ 1.054 B │ 1.188 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalLiabilities │ 13.472 B │ 13.684 B │ 14.916 B │ 15.338 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalCurrentLiabilities │ 5.433 B │ 5.462 B │ 6.424 B │ 6.512 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ currentAccountsPayable │ None │ None │ 2.090 B │ 2.217 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ deferredRevenue │ None │ None │ 74 M │ 74 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ currentDebt │ 323 M │ 297 M │ 155 M │ 118 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ shortTermDebt │ 323 M │ 297 M │ 155 M │ 118 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalNonCurrentLiabilities │ 8.039 B │ 8.222 B │ 7.684 B │ 8.059 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ capitalLeaseObligations │ 395 M │ 454 M │ 649 M │ 808 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ longTermDebt │ 6.298 B │ 6.418 B │ 5.968 B │ 6.096 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ currentLongTermDebt │ 323 M │ 297 M │ 155 M │ 118 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ longTermDebtNoncurrent │ None │ None │ None │ None │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ shortLongTermDebtTotal │ 7.148 B │ 7.228 B │ 7.280 B │ 6.096 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ otherCurrentLiabilities │ 560 M │ 738 M │ 944 M │ 924 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ otherNonCurrentLiabilities │ 552 M │ 569 M │ 559 M │ 632 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalShareholderEquity │ 40.663 B │ 42.259 B │ 43.933 B │ 45.908 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ treasuryStock │ None │ None │ 4.695 B │ 4.954 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ retainedEarnings │ 34.723 B │ 36.452 B │ 39.051 B │ 41.267 B │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ commonStock │ 120 M │ 120 M │ 122 M │ 122 M │ ├────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ commonStockSharesOutstanding │ 1.121 B │ 1.120 B │ 1.119 B │ 1.120 B │ └────────────────────────────────────────┴────────────┴────────────┴────────────┴────────────┘ "},{"id":591,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/cal/","title":"Cal","parent":"Fundamental Analysis","content":"usage: cal [-h] [--export {csv,json,xlsx}] Calendar earnings of the company. Including revenue and earnings estimates. [Source: Yahoo Finance]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example shown for the loaded ticker MSFT:\n2022 Feb 16, 04:47 (✨) /stocks/fa/ $ cal Ticker Calendar Earnings ┏━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ Earnings Date ┃ Earnings Average ┃ Earnings Low ┃ Earnings High ┃ Revenue Average ┃ Revenue Low ┃ Revenue High ┃ ┡━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ 04/25/2022 │ 2.190 │ 2.140 │ 2.290 │ 49.055 B │ 48.652 B │ 49.719 B │ ├───────────────┼──────────────────┼──────────────┼───────────────┼─────────────────┼─────────────┼──────────────┤ │ 04/29/2022 │ 2.190 │ 2.140 │ 2.290 │ 49.055 B │ 48.652 B │ 49.719 B │ └───────────────┴──────────────────┴──────────────┴───────────────┴─────────────────┴─────────────┴──────────────┘ "},{"id":592,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/cash/","title":"Cash","parent":"Fundamental Analysis","content":"usage: cash [-l LIMIT] [-q] [-h] [--export {csv,json,xlsx}] Prints a complete cash flow statement over time. This can be either quarterly or annually. [Source: Alpha Vantage]\noptional arguments: -l LIMIT, --limit LIMIT Number of latest years/quarters. (default: 1) -q, --quarter Quarter fundamental data flag. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 04:52 (✨) /stocks/fa/ $ cash -l 4 FB Balance Sheet ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ 2018-12-31 ┃ 2019-12-31 ┃ 2020-12-31 ┃ 2021-12-31 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ reportedCurrency │ USD │ USD │ USD │ USD │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ operatingCashflow │ 29.274 B │ 36.314 B │ 38.747 B │ 57.683 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ paymentsForOperatingActivities │ 1 M │ 914 M │ 1.222 B │ 1.421 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromOperatingActivities │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInOperatingLiabilities │ 1.057 B │ 9.123 B │ -1.312 B │ 5.909 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInOperatingAssets │ 2.741 B │ 1.873 B │ 1.411 B │ 5.209 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ depreciationDepletionAndAmortization │ 4.315 B │ 5.741 B │ 6.862 B │ 7.967 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ capitalExpenditures │ 13.915 B │ 15.102 B │ 15.115 B │ 18.567 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInReceivables │ 1.892 B │ 1.961 B │ 1.512 B │ 3.110 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInInventory │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ profitLoss │ 22.112 B │ 18.485 B │ 29.146 B │ 39.370 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ cashflowFromInvestment │ -11.603 B │ -19.864 B │ -30.059 B │ -7.570 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ cashflowFromFinancing │ -15.572 B │ -7.299 B │ -10.292 B │ -50.728 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromRepaymentsOfShortTermDebt │ 500 M │ -223 M │ 24 M │ 14 M │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ paymentsForRepurchaseOfCommonStock │ 12.879 B │ 4.202 B │ 6.272 B │ 44.537 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ paymentsForRepurchaseOfEquity │ 12.879 B │ 4.202 B │ 6.272 B │ 44.537 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ paymentsForRepurchaseOfPreferredStock │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ dividendPayout │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ dividendPayoutCommonStock │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ dividendPayoutPreferredStock │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromIssuanceOfCommonStock │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromIssuanceOfLongTermDebtAndCapitalSecuritiesNet │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromIssuanceOfPreferredStock │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromRepurchaseOfEquity │ -12.879 B │ -4.202 B │ -6.272 B │ -44.537 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromSaleOfTreasuryStock │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInCashAndCashEquivalents │ 2.099 B │ 9.151 B │ -1.604 B │ -615 M │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInExchangeRate │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ netIncome │ 22.112 B │ 18.485 B │ 29.146 B │ 39.370 B │ └───────────────────────────────────────────────────────────┴────────────┴────────────┴────────────┴────────────┘ 2022 Feb 16, 04:52 (✨) /stocks/fa/ $ cash -l 4 -q FB Balance Sheet ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ 2021-03-31 ┃ 2021-06-30 ┃ 2021-09-30 ┃ 2021-12-31 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ reportedCurrency │ USD │ USD │ USD │ USD │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ operatingCashflow │ 12.242 B │ 13.247 B │ 14.090 B │ 18.104 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ paymentsForOperatingActivities │ 333 M │ 6.650 B │ 1.987 B │ -7.549 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromOperatingActivities │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInOperatingLiabilities │ -1.787 B │ 1.513 B │ 2.180 B │ 4.003 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInOperatingAssets │ -378 M │ 3.403 B │ 797 M │ 1.387 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ depreciationDepletionAndAmortization │ 1.972 B │ 1.986 B │ 1.995 B │ 2.014 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ capitalExpenditures │ 4.272 B │ 4.612 B │ 4.314 B │ 5.369 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInReceivables │ -849 M │ 1.366 B │ 555 M │ 2.038 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInInventory │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ profitLoss │ 9.497 B │ 10.394 B │ 9.194 B │ 10.285 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ cashflowFromInvestment │ -4.874 B │ -8.195 B │ -330 M │ 5.829 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ cashflowFromFinancing │ -5.185 B │ -8.549 B │ -15.252 B │ -21.742 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromRepaymentsOfShortTermDebt │ -50 M │ 53 M │ 12 M │ -1 M │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ paymentsForRepurchaseOfCommonStock │ 3.939 B │ 7.079 B │ 13.458 B │ 20.061 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ paymentsForRepurchaseOfEquity │ 3.939 B │ 7.079 B │ 13.458 B │ 20.061 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ paymentsForRepurchaseOfPreferredStock │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ dividendPayout │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ dividendPayoutCommonStock │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ dividendPayoutPreferredStock │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromIssuanceOfCommonStock │ 0 │ 0 │ 0 │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromIssuanceOfLongTermDebtAndCapitalSecuritiesNet │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromIssuanceOfPreferredStock │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromRepurchaseOfEquity │ -3.939 B │ -7.079 B │ -13.458 B │ -20.061 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ proceedsFromSaleOfTreasuryStock │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInCashAndCashEquivalents │ 2.183 B │ 12.254 B │ 11.064 B │ 2.191 B │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ changeInExchangeRate │ None │ None │ None │ None │ ├───────────────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┤ │ netIncome │ 9.497 B │ 10.394 B │ 9.194 B │ 10.285 B │ └───────────────────────────────────────────────────────────┴────────────┴────────────┴────────────┴────────────┘ "},{"id":593,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/dcf/","title":"Dcf","parent":"Fundamental Analysis","content":"usage: dcf [-a] [--no-ratios] [--no-filter] [-p--prediction PREDICTION] [-s--similar SIMILAR] [-h] [--export {csv,json,xlsx}] A discounted cash flow statement looks to analyze the value of a company. To do this we need to predict the future cash flows and then determine how much those cash flows are worth to us today. We predict the future expected cash flows by prediciting what the financial statements will look like in the future, and then using this to determine the cash the company will have in the future. This cash is paid to share holders.\nWe use linear regression to predict the future financial statements. Once we have our predicted financial statements we need to determine how much the cash flows are worth today. This is done with a discount factor. Our DCF allows users to choose between Fama French and CAPM for the factor. This allows us to calculate the present value of the future cash flows. The present value of all of these cash payments is the companies' value. Dividing this value by the number of shares outstanding allows us to calculate the value of each share in a company [Source: https://stockanalysis.com/stocks/]\noptional arguments: -a, --audit Generates a tie-out for financial statement information pulled from online. (default: False) --no-ratios Removes ratios from DCF. (default: True) --no-filter Allow similar companies of any market cap to be shown. (default: False) -p--prediction PREDICTION Number of years to predict before using terminal value. (default: 10) -s--similar SIMILAR Number of similar companies to generate ratios for. (default: 6) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) The command creates an Excel that features the following sheets:\nFinancials\nFree Cash Flows\nExplanations\nRatios (partial view)\n"},{"id":594,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/divs/","title":"Divs","parent":"Fundamental Analysis","content":"usage: divs [-l LIMIT] [-p] [-h] [--export {csv,json,xlsx}] Historical dividends for a company.\noptional arguments: -l LIMIT, --limit LIMIT Number of previous dividends to show (default: 16) -p, --plot Plots changes in dividend over time (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example (from ticker MSFT):\n2022 Feb 16, 05:11 (✨) /stocks/fa/ $ divs Ticker Historical Dividends ┏━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━┓ ┃ ┃ Amount Paid ($) ┃ Change ┃ ┡━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━┩ │ 2021-11-17 │ 0.62 │ 0.06 │ ├────────────┼─────────────────┼────────┤ │ 2021-08-18 │ 0.56 │ 0.00 │ ├────────────┼─────────────────┼────────┤ │ 2021-05-19 │ 0.56 │ 0.00 │ ├────────────┼─────────────────┼────────┤ │ 2021-02-17 │ 0.56 │ 0.00 │ ├────────────┼─────────────────┼────────┤ │ 2020-11-18 │ 0.56 │ 0.05 │ ├────────────┼─────────────────┼────────┤ │ 2020-08-19 │ 0.51 │ 0.00 │ ├────────────┼─────────────────┼────────┤ │ 2020-05-20 │ 0.51 │ 0.00 │ ├────────────┼─────────────────┼────────┤ │ 2020-02-19 │ 0.51 │ 0.00 │ ├────────────┼─────────────────┼────────┤ │ 2019-11-20 │ 0.51 │ 0.05 │ ├────────────┼─────────────────┼────────┤ │ 2019-08-14 │ 0.46 │ 0.00 │ ├────────────┼─────────────────┼────────┤ │ 2019-05-15 │ 0.46 │ 0.00 │ ├────────────┼─────────────────┼────────┤ │ 2019-02-20 │ 0.46 │ 0.00 │ ├────────────┼─────────────────┼────────┤ │ 2018-11-14 │ 0.46 │ 0.04 │ ├────────────┼─────────────────┼────────┤ │ 2018-08-15 │ 0.42 │ 0.00 │ ├────────────┼─────────────────┼────────┤ │ 2018-05-16 │ 0.42 │ 0.00 │ ├────────────┼─────────────────┼────────┤ │ 2018-02-14 │ 0.42 │ 0.00 │ └────────────┴─────────────────┴────────┘ "},{"id":595,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/dupont/","title":"Dupont","parent":"Fundamental Analysis","content":"usage: dupont [-h] [--export {csv,json,xlsx}] The dupont ratio is a breakdown of the various components of return on equity. This breakdown gives investors a more complete picutre of how a company generates profit from its assets.\noptional arguments: -h, --help show this help message --raw show raw data instead of a graph --export {csv,json,xlsx} Export raw data into csv, json, xlsx "},{"id":596,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/earnings/","title":"Earnings","parent":"Fundamental Analysis","content":"usage: earnings [-q] [-l LIMIT] [-h] [--export {csv,json,xlsx}] Shows earnings for the loaded ticker, selectable as yearly or quarterly; includes Estimated, Reported, and Surprise EPS results. [Source: Alpha Vantage]\noptional arguments: -q, --quarter Quarter fundamental data flag. (default: False) -l LIMIT, --limit LIMIT Number of latest info (default: 5) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 05:14 (✨) /stocks/fa/ $ earnings -l 12 MSFT Earnings ┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ Fiscal Date Ending ┃ Reported EPS ┃ ┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ 2021-12-31 │ 4.75 │ ├────────────────────┼──────────────┤ │ 2021-06-30 │ 7.97 │ ├────────────────────┼──────────────┤ │ 2020-06-30 │ 5.75 │ ├────────────────────┼──────────────┤ │ 2019-06-30 │ 4.75 │ ├────────────────────┼──────────────┤ │ 2018-06-30 │ 3.88 │ ├────────────────────┼──────────────┤ │ 2017-06-30 │ 3.31 │ ├────────────────────┼──────────────┤ │ 2016-06-30 │ 2.76 │ ├────────────────────┼──────────────┤ │ 2015-06-30 │ 2.46 │ ├────────────────────┼──────────────┤ │ 2014-06-30 │ 2.63 │ ├────────────────────┼──────────────┤ │ 2013-06-30 │ 2.67 │ ├────────────────────┼──────────────┤ │ 2012-06-30 │ 2.73 │ ├────────────────────┼──────────────┤ │ 2011-06-30 │ 2.69 │ └────────────────────┴──────────────┘ 2022 Feb 16, 05:15 (✨) /stocks/fa/ $ earnings -l 12 -q MSFT Earnings ┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓ ┃ Fiscal Date Ending ┃ Reported Date ┃ Reported EPS ┃ Estimated EPS ┃ Surprise ┃ Surprise Percentage ┃ ┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩ │ 2021-12-31 │ 2022-01-25 │ 2.48 │ 2.31 │ 0.17 │ 7.3593 │ ├────────────────────┼───────────────┼──────────────┼───────────────┼──────────┼─────────────────────┤ │ 2021-09-30 │ 2021-10-26 │ 2.27 │ 2.081 │ 0.189 │ 9.0822 │ ├────────────────────┼───────────────┼──────────────┼───────────────┼──────────┼─────────────────────┤ │ 2021-06-30 │ 2021-07-27 │ 2.17 │ 1.9252 │ 0.2448 │ 12.7156 │ ├────────────────────┼───────────────┼──────────────┼───────────────┼──────────┼─────────────────────┤ │ 2021-03-31 │ 2021-04-27 │ 1.95 │ 1.7781 │ 0.1719 │ 9.6676 │ ├────────────────────┼───────────────┼──────────────┼───────────────┼──────────┼─────────────────────┤ │ 2020-12-31 │ 2021-01-26 │ 2.03 │ 1.6373 │ 0.3927 │ 23.9846 │ ├────────────────────┼───────────────┼──────────────┼───────────────┼──────────┼─────────────────────┤ │ 2020-09-30 │ 2020-10-27 │ 1.82 │ 1.546 │ 0.274 │ 17.7232 │ ├────────────────────┼───────────────┼──────────────┼───────────────┼──────────┼─────────────────────┤ │ 2020-06-30 │ 2020-07-22 │ 1.46 │ 1.372 │ 0.088 │ 6.414 │ ├────────────────────┼───────────────┼──────────────┼───────────────┼──────────┼─────────────────────┤ │ 2020-03-31 │ 2020-04-29 │ 1.4 │ 1.2688 │ 0.1312 │ 10.3405 │ ├────────────────────┼───────────────┼──────────────┼───────────────┼──────────┼─────────────────────┤ │ 2019-12-31 │ 2020-01-29 │ 1.51 │ 1.325 │ 0.185 │ 13.9623 │ ├────────────────────┼───────────────┼──────────────┼───────────────┼──────────┼─────────────────────┤ │ 2019-09-30 │ 2019-10-23 │ 1.38 │ 1.2435 │ 0.1365 │ 10.9771 │ ├────────────────────┼───────────────┼──────────────┼───────────────┼──────────┼─────────────────────┤ │ 2019-06-30 │ 2019-07-18 │ 1.37 │ 1.2137 │ 0.1563 │ 12.878 │ ├────────────────────┼───────────────┼──────────────┼───────────────┼──────────┼─────────────────────┤ │ 2019-03-31 │ 2019-04-24 │ 1.14 │ 0.9985 │ 0.1415 │ 14.1713 │ └────────────────────┴───────────────┴──────────────┴───────────────┴──────────┴─────────────────────┘ "},{"id":597,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fmp/","title":"Fmp","parent":"Fundamental Analysis","content":" Balance Cash Dcf Enterprise Growth Income Metrics Profile Quote Ratios "},{"id":598,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fmp/balance/","title":"Balance","parent":"Fmp","content":"usage: bal [-l LIMIT] [-q] [-h] [--export {csv,json,xlsx}]\rPrints a complete balance sheet statement over time. This can be either quarterly or annually. [Source: Financial Modeling Prep]\noptional arguments:\r-l LIMIT, --limit LIMIT\rLimit of latest years/quarters. (default: 1)\r-q, --quarter Quarter fundamental data flag. (default: False)\r-h, --help show this help message (default: False)\r--export {csv,json,xlsx}\rExport raw data into csv, json, xlsx (default: )\rExample (with ticker MSFT):\n2022 Feb 16, 05:15 (✨) /stocks/fa/fmp/ $ balance -l 12\rTicker Balance Sheet\r┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓\r┃ ┃ 2010 ┃ 2011 ┃ 2012 ┃ 2013 ┃ 2014 ┃ 2015 ┃ 2016 ┃ 2017 ┃ 2018 ┃ 2019 ┃ 2020 ┃ 2021 ┃\r┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩\r│ Reported currency │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Cik │ 789.019 K │ 789.019 K │ 789.019 K │ 789.019 K │ 789.019 K │ 789.019 K │ 789.019 K │ 789.019 K │ 789.019 K │ 789.019 K │ 789.019 K │ 789.019 K │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Filling date │ 2010-07-30 │ 2011-07-28 │ 2012-07-26 │ 2013-07-30 │ 2014-07-31 │ 2015-07-31 │ 2016-07-28 │ 2017-08-02 │ 2018-08-03 │ 2019-08-01 │ 2020-07-30 │ 2021-07-29 │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Accepted date │ 2010-07-30 │ 2011-07-28 │ 2012-07-26 │ 2013-07-30 16:14:49 │ 2014-07-31 │ 2015-07-31 15:07:52 │ 2016-07-28 │ 2017-08-02 16:15:01 │ 2018-08-03 │ 2019-08-01 16:09:55 │ 2020-07-30 │ 2021-07-29 │\r│ │ 11:30:38 │ 14:59:09 │ 16:12:48 │ │ 17:16:52 │ │ 16:12:18 │ │ 11:03:33 │ │ 20:44:46 │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Calendar year │ 2.010 K │ 2.011 K │ 2.012 K │ 2.013 K │ 2.014 K │ 2.015 K │ 2.016 K │ 2.017 K │ 2.018 K │ 2.019 K │ 2.020 K │ 2.021 K │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Period │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Cash and cash │ 5.505 B │ 9.610 B │ 6.938 B │ 3.804 B │ 8.669 B │ 5.595 B │ 6.510 B │ 7.663 B │ 11.946 B │ 11.356 B │ 13.576 B │ 11.748 B │\r│ equivalents │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Short term │ 31.283 B │ 43.162 B │ 56.102 B │ 73.218 B │ 77.040 B │ 90.931 B │ 106.730 B │ 125.318 B │ 121.822 B │ 122.463 B │ 122.951 B │ 118.586 B │\r│ investments │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Cash and short │ 36.788 B │ 52.772 B │ 63.040 B │ 77.022 B │ 85.709 B │ 96.526 B │ 113.240 B │ 132.981 B │ 133.768 B │ 133.819 B │ 136.527 B │ 130.334 B │\r│ term investments │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Net receivables │ 13.014 B │ 14.987 B │ 15.780 B │ 17.486 B │ 19.544 B │ 17.908 B │ 18.277 B │ 19.792 B │ 26.481 B │ 29.524 B │ 32.011 B │ 38.043 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Inventory │ 740 M │ 1.372 B │ 1.137 B │ 1.938 B │ 2.660 B │ 2.902 B │ 2.251 B │ 2.181 B │ 2.662 B │ 2.063 B │ 1.895 B │ 2.636 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Other current │ 5.134 B │ 5.787 B │ 5.127 B │ 5.020 B │ 6.333 B │ 7.376 B │ 5.892 B │ 4.897 B │ 6.751 B │ 10.146 B │ 11.482 B │ 13.393 B │\r│ assets │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total current │ 55.676 B │ 74.918 B │ 85.084 B │ 101.466 B │ 114.246 B │ 124.712 B │ 139.660 B │ 159.851 B │ 169.662 B │ 175.552 B │ 181.915 B │ 184.406 B │\r│ assets │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Property plant │ 7.630 B │ 8.162 B │ 8.269 B │ 9.991 B │ 13.011 B │ 14.731 B │ 18.356 B │ 23.734 B │ 36.146 B │ 43.856 B │ 52.904 B │ 70.803 B │\r│ equipment net │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Goodwill │ 12.394 B │ 12.581 B │ 13.452 B │ 14.655 B │ 20.127 B │ 16.939 B │ 17.872 B │ 35.122 B │ 35.683 B │ 42.026 B │ 43.351 B │ 49.711 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Intangible assets │ 1.158 B │ 744 M │ 3.170 B │ 3.083 B │ 6.981 B │ 4.835 B │ 3.733 B │ 10.106 B │ 8.053 B │ 7.750 B │ 7.038 B │ 7.800 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Goodwill and │ 13.552 B │ 13.325 B │ 16.622 B │ 17.738 B │ 27.108 B │ 21.774 B │ 21.605 B │ 45.228 B │ 43.736 B │ 49.776 B │ 50.389 B │ 57.511 B │\r│ intangible assets │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Long term │ 7.754 B │ 10.865 B │ 9.776 B │ 10.844 B │ 14.597 B │ 12.053 B │ 10.431 B │ 6.023 B │ 1.862 B │ 2.649 B │ 2.965 B │ 5.984 B │\r│ investments │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Tax assets │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Other non current │ 1.501 B │ 1.434 B │ 1.520 B │ 2.392 B │ 3.422 B │ 2.953 B │ 3.642 B │ 6.250 B │ 7.442 B │ 14.723 B │ 13.138 B │ 15.075 B │\r│ assets │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total non current │ 30.437 B │ 33.786 B │ 36.187 B │ 40.965 B │ 58.138 B │ 51.511 B │ 54.034 B │ 81.235 B │ 89.186 B │ 111.004 B │ 119.396 B │ 149.373 B │\r│ assets │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Other assets │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total assets │ 86.113 B │ 108.704 B │ 121.271 B │ 142.431 B │ 172.384 B │ 176.223 B │ 193.694 B │ 241.086 B │ 258.848 B │ 286.556 B │ 301.311 B │ 333.779 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Account payables │ 4.025 B │ 4.197 B │ 4.175 B │ 4.828 B │ 7.432 B │ 6.591 B │ 6.898 B │ 7.390 B │ 8.617 B │ 9.382 B │ 12.530 B │ 15.163 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Short term debt │ 1 B │ 0 │ 1.231 B │ 2.999 B │ 2 B │ 7.484 B │ 12.904 B │ 10.121 B │ 3.998 B │ 5.516 B │ 3.749 B │ 8.072 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Tax payables │ 1.074 B │ 580 M │ 789 M │ 592 M │ 782 M │ 606 M │ 580 M │ 718 M │ 2.121 B │ 5.665 B │ 2.130 B │ 2.174 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Deferred revenue │ 13.652 B │ 15.722 B │ 18.653 B │ 20.639 B │ 23.150 B │ 23.223 B │ 27.468 B │ 34.102 B │ 28.905 B │ 32.676 B │ 36 B │ 41.525 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Other current │ 7.470 B │ 8.855 B │ 8.629 B │ 8.951 B │ 13.043 B │ 12.560 B │ 12.087 B │ 12.914 B │ 16.968 B │ 21.846 B │ 20.031 B │ 23.897 B │\r│ liabilities │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total current │ 26.147 B │ 28.774 B │ 32.688 B │ 37.417 B │ 45.625 B │ 49.858 B │ 59.357 B │ 64.527 B │ 58.488 B │ 69.420 B │ 72.310 B │ 88.657 B │\r│ liabilities │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Long term debt │ 4.939 B │ 11.921 B │ 10.713 B │ 12.601 B │ 20.645 B │ 27.808 B │ 40.783 B │ 76.073 B │ 77.810 B │ 72.850 B │ 67.249 B │ 59.703 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Deferred revenue │ 1.178 B │ 1.398 B │ 1.406 B │ 1.760 B │ 2.008 B │ 2.095 B │ 6.441 B │ 10.377 B │ 3.815 B │ 4.530 B │ 3.180 B │ 2.616 B │\r│ non current │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Deferred tax │ 229 M │ 1.456 B │ 1.893 B │ 1.709 B │ 2.728 B │ 2.835 B │ 1.476 B │ 531 M │ 541 M │ 233 M │ 204 M │ 198 M │\r│ liabilities non │ │ │ │ │ │ │ │ │ │ │ │ │\r│ current │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Other non current │ 7.445 B │ 8.072 B │ 8.208 B │ 10 B │ 11.594 B │ 13.544 B │ 13.640 B │ 17.184 B │ 35.476 B │ 37.193 B │ 40.064 B │ 40.617 B │\r│ liabilities │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total non current │ 13.791 B │ 22.847 B │ 22.220 B │ 26.070 B │ 36.975 B │ 46.282 B │ 62.340 B │ 104.165 B │ 117.642 B │ 114.806 B │ 110.697 B │ 103.134 B │\r│ liabilities │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Other liabilities │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Capital lease │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 5.568 B │ 6.188 B │ 7.671 B │ 9.629 B │\r│ obligations │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total liabilities │ 39.938 B │ 51.621 B │ 54.908 B │ 63.487 B │ 82.600 B │ 96.140 B │ 121.697 B │ 168.692 B │ 176.130 B │ 184.226 B │ 183.007 B │ 191.791 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Preferred stock │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Common stock │ 62.856 B │ 63.415 B │ 65.797 B │ 67.306 B │ 68.366 B │ 68.465 B │ 68.178 B │ 69.315 B │ 71.223 B │ 78.520 B │ 80.552 B │ 83.111 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Retained earnings │ -16.681 B │ -8.195 B │ 566 M │ 9.895 B │ 17.710 B │ 9.096 B │ 2.282 B │ 2.648 B │ 13.682 B │ 24.150 B │ 34.566 B │ 57.055 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Accumulated other │ -8.629 B │ 1.863 B │ 1.422 B │ 1.743 B │ 3.708 B │ 2.522 B │ 1.537 B │ 431 M │ -2.187 B │ -340 M │ 3.186 B │ 1.822 B │\r│ comprehensive │ │ │ │ │ │ │ │ │ │ │ │ │\r│ income loss │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Othertotal │ 8.629 B │ 0 │ -1.422 B │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │\r│ stockholders │ │ │ │ │ │ │ │ │ │ │ │ │\r│ equity │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total stockholders │ 46.175 B │ 57.083 B │ 66.363 B │ 78.944 B │ 89.784 B │ 80.083 B │ 71.997 B │ 72.394 B │ 82.718 B │ 102.330 B │ 118.304 B │ 141.988 B │\r│ equity │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total liabilities │ 86.113 B │ 108.704 B │ 121.271 B │ 142.431 B │ 172.384 B │ 176.223 B │ 193.694 B │ 241.086 B │ 258.848 B │ 286.556 B │ 301.311 B │ 333.779 B │\r│ and stockholders │ │ │ │ │ │ │ │ │ │ │ │ │\r│ equity │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Minority interest │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total equity │ 46.175 B │ 57.083 B │ 66.363 B │ 78.944 B │ 89.784 B │ 80.083 B │ 71.997 B │ 72.394 B │ 82.718 B │ 102.330 B │ 118.304 B │ 141.988 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total liabilities │ 86.113 B │ 108.704 B │ 121.271 B │ 142.431 B │ 172.384 B │ 176.223 B │ 193.694 B │ 241.086 B │ 258.848 B │ 286.556 B │ 301.311 B │ 333.779 B │\r│ and total equity │ │ │ │ │ │ │ │ │ │ │ │ │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total investments │ 39.037 B │ 54.027 B │ 65.878 B │ 84.062 B │ 91.637 B │ 102.984 B │ 117.161 B │ 131.341 B │ 123.684 B │ 125.112 B │ 125.916 B │ 124.570 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Total debt │ 5.939 B │ 11.921 B │ 11.944 B │ 15.600 B │ 22.645 B │ 35.292 B │ 53.687 B │ 86.194 B │ 81.808 B │ 78.366 B │ 70.998 B │ 67.775 B │\r├────────────────────┼────────────────────┼────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼─────────────────────┼────────────────────┼────────────┤\r│ Net debt │ 434 M │ 2.311 B │ 5.006 B │ 11.796 B │ 13.976 B │ 29.697 B │ 47.177 B │ 78.531 B │ 69.862 B │ 67.010 B │ 57.422 B │ 56.027 B │\r└────────────────────┴────────────────────┴────────────────────┴────────────────────┴─────────────────────┴────────────────────┴─────────────────────┴────────────────────┴─────────────────────┴────────────────────┴─────────────────────┴────────────────────┴────────────┘\r Final link\rFiscal Date Ending\r2010 https://www.sec.gov/Archives/edgar/data/789019/000119312510171791/d10k.htm\r2011 https://www.sec.gov/Archives/edgar/data/789019/000119312511200680/d10k.htm\r2012 https://www.sec.gov/Archives/edgar/data/789019/000119312512316848/d347676d10k.htm\r2013 https://www.sec.gov/Archives/edgar/data/789019/000119312513310206/d527745d10k.htm\r2014 https://www.sec.gov/Archives/edgar/data/789019/000119312514289961/d722626d10k.htm\r2015 https://www.sec.gov/Archives/edgar/data/789019/000119312515272806/d918813d10k.htm\r2016 https://www.sec.gov/Archives/edgar/data/789019/000119312516662209/d187868d10k.htm\r2017 https://www.sec.gov/Archives/edgar/data/789019/000156459017014900/msft-10k_20170630.htm\r2018 https://www.sec.gov/Archives/edgar/data/789019/000156459018019062/msft-10k_20180630.htm\r2019 https://www.sec.gov/Archives/edgar/data/789019/000156459019027952/msft-10k_20190630.htm\r2020 https://www.sec.gov/Archives/edgar/data/789019/000156459020034944/msft-10k_20200630.htm\r2021 https://www.sec.gov/Archives/edgar/data/789019/000156459021039151/msft-10k_20210630.htm\r Link\rFiscal Date Ending\r2010 https://www.sec.gov/Archives/edgar/data/789019/000119312510171791/0001193125-10-171791-index.htm\r2011 https://www.sec.gov/Archives/edgar/data/789019/000119312511200680/0001193125-11-200680-index.htm\r2012 https://www.sec.gov/Archives/edgar/data/789019/000119312512316848/0001193125-12-316848-index.htm\r2013 https://www.sec.gov/Archives/edgar/data/789019/000119312513310206/0001193125-13-310206-index.htm\r2014 https://www.sec.gov/Archives/edgar/data/789019/000119312514289961/0001193125-14-289961-index.htm\r2015 https://www.sec.gov/Archives/edgar/data/789019/000119312515272806/0001193125-15-272806-index.htm\r2016 https://www.sec.gov/Archives/edgar/data/789019/000119312516662209/0001193125-16-662209-index.htm\r2017 https://www.sec.gov/Archives/edgar/data/789019/000156459017014900/0001564590-17-014900-index.htm\r2018 https://www.sec.gov/Archives/edgar/data/789019/000156459018019062/0001564590-18-019062-index.htm\r2019 https://www.sec.gov/Archives/edgar/data/789019/000156459019027952/0001564590-19-027952-index.htm\r2020 https://www.sec.gov/Archives/edgar/data/789019/000156459020034944/0001564590-20-034944-index.htm\r2021 https://www.sec.gov/Archives/edgar/data/789019/000156459021039151/0001564590-21-039151-index.htm\r"},{"id":599,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fmp/cash/","title":"Cash","parent":"Fmp","content":"usage: cash [-l LIMIT] [-q] [-h] [--export {csv,json,xlsx}] Prints a complete cash flow statement over time. This can be either quarterly or annually. [Source: Financial Modeling Prep]\noptional arguments: -l LIMIT, --limit LIMIT Limit of latest years/quarters. (default: 1) -q, --quarter Quarter fundamental data flag. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example (with ticker AAPL):\n2022 Feb 16, 05:19 (✨) /stocks/fa/fmp/ $ cash -l 12 Ticker Cash Flow ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓ ┃ ┃ 2010 ┃ 2011 ┃ 2012 ┃ 2013 ┃ 2014 ┃ 2015 ┃ 2016 ┃ 2017 ┃ 2018 ┃ 2019 ┃ 2020 ┃ 2021 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩ │ Reported currency │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Cik │ 1.652 M │ 1.652 M │ 1.652 M │ 1.652 M │ 1.652 M │ 1.652 M │ 1.652 M │ 1.652 M │ 1.652 M │ 1.652 M │ 1.652 M │ 1.652 M │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Filling date │ 2010-12-31 │ 2011-12-31 │ 2012-12-31 │ 2013-12-31 │ 2014-12-31 │ 2016-02-11 │ 2017-02-03 │ 2018-02-06 │ 2019-02-05 │ 2020-02-04 │ 2021-02-03 │ 2022-02-02 │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Accepted date │ 2010-12-31 │ 2011-12-31 │ 2012-12-31 │ 2013-12-31 │ 2014-12-31 │ 2016-02-11 16:38:35 │ 2017-02-02 18:13:47 │ 2018-02-05 20:46:29 │ 2019-02-04 21:06:38 │ 2020-02-03 21:03:59 │ 2021-02-02 20:12:25 │ 2022-02-01 21:08:02 │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Calendar year │ 2.010 K │ 2.011 K │ 2.012 K │ 2.013 K │ 2.014 K │ 2.015 K │ 2.016 K │ 2.017 K │ 2.018 K │ 2.019 K │ 2.020 K │ 2.021 K │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Period │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Net income │ 8.505 B │ 9.737 B │ 10.737 B │ 12.733 B │ 14.136 B │ 16.348 B │ 19.478 B │ 12.662 B │ 30.736 B │ 34.343 B │ 40.269 B │ 76.033 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Depreciation and amortization │ 1.396 B │ 1.851 B │ 2.962 B │ 3.939 B │ 4.979 B │ 5.063 B │ 6.144 B │ 6.915 B │ 9.035 B │ 11.781 B │ 13.697 B │ 12.441 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Deferred income tax │ 9 M │ 343 M │ -266 M │ -437 M │ -104 M │ -179 M │ -38 M │ 258 M │ 778 M │ 173 M │ 1.390 B │ 1.808 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Stock based compensation │ 1.376 B │ 1.974 B │ 2.692 B │ 3.343 B │ 4.279 B │ 5.203 B │ 6.703 B │ 7.679 B │ 9.353 B │ 10.794 B │ 12.991 B │ 15.376 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Change in working capital │ 5.146 B │ 12.279 B │ 2.272 B │ 10.861 B │ 4.899 B │ 8.927 B │ 17.848 B │ 11.473 B │ 931 M │ 6.301 B │ 10.105 B │ -1.523 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Accounts receivables │ -1.129 B │ -1.156 B │ -787 M │ -1.307 B │ -1.641 B │ -2.094 B │ -2.578 B │ -3.768 B │ -2.169 B │ -4.340 B │ -6.524 B │ -9.095 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Inventory │ 0 │ 0 │ 301 M │ -234 M │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Accounts payables │ 272 M │ 101 M │ -499 M │ 605 M │ 436 M │ 203 M │ 110 M │ 731 M │ 1.067 B │ 428 M │ 694 M │ 283 M │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Other working capital │ 31.566 B │ 43.845 B │ 46.117 B │ 56.978 B │ 61.877 B │ 70.804 B │ 88.652 B │ 100.125 B │ 101.056 B │ 107.357 B │ 117.462 B │ 149 M │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Other non cash items │ -5.351 B │ -11.619 B │ -1.778 B │ -11.780 B │ -5.813 B │ -9.338 B │ -14.099 B │ -1.896 B │ -2.862 B │ -8.872 B │ -13.328 B │ -12.483 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Net cash provided by operating activities │ 11.081 B │ 14.565 B │ 16.619 B │ 18.659 B │ 22.376 B │ 26.024 B │ 36.036 B │ 37.091 B │ 47.971 B │ 54.520 B │ 65.124 B │ 91.652 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Investments in property plant and equipment │ -4.018 B │ -3.438 B │ -3.273 B │ -7.358 B │ -10.959 B │ -9.915 B │ -10.212 B │ -13.184 B │ -25.139 B │ -23.548 B │ -22.281 B │ -24.640 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Acquisitions net │ -1.067 B │ -1.900 B │ -10.568 B │ 1.077 B │ -4.502 B │ -236 M │ -986 M │ -287 M │ -1.491 B │ -2.515 B │ -738 M │ -2.618 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Purchases of investments │ -45.055 B │ -62.095 B │ -34.106 B │ -46.013 B │ -58.312 B │ -76.540 B │ -85.618 B │ -93.940 B │ -52.231 B │ -102.247 B │ -143.751 B │ -138.034 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Sales maturities of investments │ 37.099 B │ 48.746 B │ 35.225 B │ 38.914 B │ 51.315 B │ 63.330 B │ 67.839 B │ 74.492 B │ 50.259 B │ 98.230 B │ 133.929 B │ 129.228 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Other investing activities │ 2.361 B │ -354 M │ -334 M │ -299 M │ 1.403 B │ -350 M │ -2.188 B │ 1.518 B │ 98 M │ 589 M │ 68 M │ 541 M │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Net cash used for investing activities │ -10.680 B │ -19.041 B │ -13.056 B │ -13.679 B │ -21.055 B │ -23.711 B │ -31.165 B │ -31.401 B │ -28.504 B │ -29.491 B │ -32.773 B │ -35.523 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Debt repayment │ -1.783 B │ -10.179 B │ -14.781 B │ -11.325 B │ -11.643 B │ -13.728 B │ -10.064 B │ -4.377 B │ -6.827 B │ -585 M │ -2.100 B │ -21.435 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Common stock issued │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 800 M │ 950 M │ 0 │ 0 │ 0 │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Common stock repurchased │ -801 M │ 0 │ 0 │ 0 │ 0 │ -1.780 B │ -3.693 B │ -4.846 B │ -9.075 B │ -18.396 B │ -31.149 B │ -50.274 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Dividends paid │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Other financing activities │ 5.634 B │ 10.986 B │ 16.010 B │ 10.468 B │ 10.204 B │ 11.831 B │ 5.425 B │ 125 M │ 1.773 B │ -4.228 B │ 8.841 B │ 10.347 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Net cash used provided by financing activities │ 3.050 B │ 807 M │ 1.229 B │ -857 M │ -1.439 B │ -3.677 B │ -8.332 B │ -8.298 B │ -13.179 B │ -23.209 B │ -24.408 B │ -61.362 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Effect of forex changes on cash │ -19 M │ 22 M │ 3 M │ -3 M │ -433 M │ -434 M │ -170 M │ 405 M │ -302 M │ -23 M │ 24 M │ -287 M │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Net change in cash │ 3.432 B │ -3.647 B │ 4.795 B │ 4.120 B │ -551 M │ -1.798 B │ -3.631 B │ -2.203 B │ 5.986 B │ 1.797 B │ 7.967 B │ -5.520 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Cash at end of period │ 13.630 B │ 9.983 B │ 14.778 B │ 18.898 B │ 18.347 B │ 16.549 B │ 12.918 B │ 10.715 B │ 16.701 B │ 18.498 B │ 26.465 B │ 20.945 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Cash at beginning of period │ 10.198 B │ 13.630 B │ 9.983 B │ 14.778 B │ 18.898 B │ 18.347 B │ 16.549 B │ 12.918 B │ 10.715 B │ 16.701 B │ 18.498 B │ 26.465 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Operating cash flow │ 11.081 B │ 14.565 B │ 16.619 B │ 18.659 B │ 22.376 B │ 26.024 B │ 36.036 B │ 37.091 B │ 47.971 B │ 54.520 B │ 65.124 B │ 91.652 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Capital expenditure │ -4.018 B │ -3.438 B │ -3.273 B │ -7.358 B │ -10.959 B │ -9.915 B │ -10.212 B │ -13.184 B │ -25.139 B │ -23.548 B │ -22.281 B │ -24.640 B │ ├────────────────────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Free cash flow │ 7.063 B │ 11.127 B │ 13.346 B │ 11.301 B │ 11.417 B │ 16.109 B │ 25.824 B │ 23.907 B │ 22.832 B │ 30.972 B │ 42.843 B │ 67.012 B │ └────────────────────────────────────────────────┴────────────┴────────────┴────────────┴────────────┴────────────┴─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┘ Final link Fiscal Date Ending 2010 2011 2012 2013 2014 2015 https://www.sec.gov/Archives/edgar/data/1652044/000165204416000012/goog10-k2015.htm 2016 https://www.sec.gov/Archives/edgar/data/1652044/000165204417000008/goog10-kq42016.htm 2017 https://www.sec.gov/Archives/edgar/data/1652044/000165204418000007/goog10-kq42017.htm 2018 https://www.sec.gov/Archives/edgar/data/1652044/000165204419000004/goog10-kq42018.htm 2019 https://www.sec.gov/Archives/edgar/data/1652044/000165204420000008/goog10-k2019.htm 2020 https://www.sec.gov/Archives/edgar/data/1652044/000165204421000010/goog-20201231.htm 2021 https://www.sec.gov/Archives/edgar/data/1652044/000165204422000019/goog-20211231.htm Link Fiscal Date Ending 2010 2011 2012 2013 2014 2015 https://www.sec.gov/Archives/edgar/data/1652044/000165204416000012/goog10-k2015.htm 2016 https://www.sec.gov/Archives/edgar/data/1652044/000165204417000008/goog10-kq42016.htm 2017 https://www.sec.gov/Archives/edgar/data/1652044/000165204418000007/goog10-kq42017.htm 2018 https://www.sec.gov/Archives/edgar/data/1652044/000165204419000004/goog10-kq42018.htm 2019 https://www.sec.gov/Archives/edgar/data/1652044/000165204420000008/goog10-k2019.htm 2020 https://www.sec.gov/Archives/edgar/data/1652044/000165204421000010/0001652044-21-000010-index.htm 2021 https://www.sec.gov/Archives/edgar/data/1652044/000165204422000019/0001652044-22-000019-index.htm "},{"id":600,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fmp/dcf/","title":"Dcf","parent":"Fmp","content":"usage: dcf [-l LIMIT] [-q] [-h] [--export {csv,json,xlsx}]h] Prints the discounted cash flow of a company over time including the DCF of today. The following fields are expected: DCF, Stock price, and Date. [Source: Financial Modeling Prep]\noptional arguments: -l LIMIT, --limit LIMIT Limit of latest years/quarters. (default: 1) -q, --quarter Quarter fundamental data flag. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":601,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fmp/enterprise/","title":"Enterprise","parent":"Fmp","content":"usage: enterprise [-l LIMIT] [-q] [-h] [--export {csv,json,xlsx}] Prints stock price, number of shares, market capitalization and enterprise value over time. [Source: Financial Modeling Prep]\noptional arguments: -l LIMIT, --limit LIMIT Limit of latest years/quarters. (default: 1) -q, --quarter Quarter fundamental data flag. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 05:26 (✨) /stocks/fa/fmp/ $ enterprise -l 10 GOOGL Enterprise ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ ┃ 2012 ┃ 2013 ┃ 2014 ┃ 2015 ┃ 2016 ┃ 2017 ┃ 2018 ┃ 2019 ┃ 2020 ┃ 2021 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━┩ │ Symbol │ GOOGL │ GOOGL │ GOOGL │ GOOGL │ GOOGL │ GOOGL │ GOOGL │ GOOGL │ GOOGL │ GOOGL │ ├─────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤ │ Stock price │ 377.292 │ 568.263 │ 537.550 │ 761.350 │ 823.830 │ 1.177 K │ 1.098 K │ 1.454 K │ 1.827 K │ 2.667 K │ ├─────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤ │ Number of shares │ 665 M │ 737 M │ 687 M │ 692.930 M │ 698.706 M │ 703.584 M │ 703.285 M │ 698.556 M │ 665.758 M │ 667.650 M │ ├─────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤ │ Market capitalization │ 250.899 B │ 418.810 B │ 369.297 B │ 527.562 B │ 575.615 B │ 828.379 B │ 772.200 B │ 1.016 T │ 1.217 T │ 1.781 T │ ├─────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤ │ Minus cash and cash equivalents │ 14.778 B │ 18.898 B │ 18.347 B │ 16.549 B │ 12.918 B │ 10.715 B │ 16.701 B │ 18.498 B │ 26.465 B │ 20.945 B │ ├─────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤ │ Add total debt │ 5.537 B │ 5.245 B │ 5.237 B │ 5.220 B │ 3.935 B │ 3.969 B │ 4.012 B │ 5.753 B │ 26.772 B │ 28.395 B │ ├─────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┤ │ Enterprise value │ 241.658 B │ 405.157 B │ 356.187 B │ 516.233 B │ 566.632 B │ 821.633 B │ 759.511 B │ 1.003 T │ 1.217 T │ 1.788 T │ └─────────────────────────────────┴───────────┴───────────┴───────────┴───────────┴───────────┴───────────┴───────────┴───────────┴───────────┴───────────┘ "},{"id":602,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fmp/growth/","title":"Growth","parent":"Fmp","content":"usage: growth [-l LIMIT] [-q] [-h] [--export {csv,json,xlsx}] Prints the growth of several financial statement items and ratios over time. This can be either annually and quarterly. [Source: Financial Modeling Prep]\noptional arguments: -l LIMIT, --limit LIMIT Limit of latest years/quarters. (default: 1) -q, --quarter Quarter fundamental data flag. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example (ticker is BABA):\n2022 Feb 16, 05:29 (✨) /stocks/fa/fmp/ $ growth -l 10 Ticker Growth ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┓ ┃ ┃ 2012 ┃ 2013 ┃ 2014 ┃ 2015 ┃ 2016 ┃ 2017 ┃ 2018 ┃ 2019 ┃ 2020 ┃ 2021 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━┩ │ Period │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Revenue growth │ 2.121 │ 0.724 │ 0.521 │ 0.451 │ 0.327 │ 0.565 │ 0.581 │ 0.506 │ 0.353 │ 0.407 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Gross profit growth │ 1.612 │ 0.841 │ 0.578 │ 0.338 │ 0.275 │ 0.479 │ 0.450 │ 0.186 │ 0.338 │ 0.302 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Ebitgrowth │ 2.165 │ 1.115 │ 1.229 │ -0.063 │ 0.267 │ 0.604 │ 0.464 │ -0.179 │ 0.610 │ -0.036 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Operating income growth │ 2.165 │ 1.115 │ 1.229 │ -0.063 │ 0.267 │ 0.604 │ 0.464 │ -0.179 │ 0.610 │ -0.036 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Net income growth │ 1.469 │ 1.018 │ 1.733 │ 0.041 │ 1.945 │ -0.389 │ 0.467 │ 0.371 │ 0.700 │ 0.008 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Epsgrowth │ 4.488 │ 0.962 │ 1.811 │ 0.004 │ 1.814 │ -0.397 │ 0.430 │ 0.355 │ 0.673 │ -0.021 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Epsdiluted growth │ 4.364 │ 0.969 │ 1.801 │ -0.030 │ 1.875 │ -0.392 │ 0.444 │ 0.362 │ 0.675 │ -0.021 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Weighted average shares growth │ -0.551 │ 0.012 │ -0.012 │ 0.031 │ 0.052 │ 0.014 │ 0.024 │ 0.011 │ 0.018 │ 0.029 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Weighted average shares diluted growth │ -0.541 │ 0.024 │ -0.024 │ 0.072 │ 0.025 │ 0.004 │ 0.014 │ 0.005 │ 0.017 │ 0.030 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Dividendsper share growth │ -1 │ 0 │ 1.044 │ -0.515 │ -1 │ 0 │ 0 │ 0 │ 0 │ 0 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Operating cash flow growth │ 3.251 │ 0.561 │ 0.822 │ 0.562 │ 0.379 │ 0.413 │ 0.558 │ 0.206 │ 0.196 │ 0.283 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Free cash flow growth │ 2.536 │ 0.685 │ 0.804 │ 0.551 │ 0.372 │ 0.365 │ 0.519 │ 0.063 │ 0.334 │ 0.395 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Ten y revenue growth per share │ 30.264 │ 52.231 │ 80.971 │ 114.358 │ 144.573 │ 141.660 │ 164.018 │ 189.016 │ 175.082 │ 207.632 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Five y revenue growth per share │ 18.858 │ 24.329 │ 29.143 │ 28.593 │ 31.343 │ 6.184 │ 5.515 │ 5.304 │ 4.950 │ 5.451 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Three y revenue growth per share │ 10.496 │ 12.656 │ 17.212 │ 2.690 │ 1.735 │ 1.740 │ 2.006 │ 2.550 │ 2.056 │ 1.708 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Ten y operating c f growth per share │ 26.029 │ 40.671 │ 75.873 │ 115.464 │ 151.692 │ 110.117 │ 155.681 │ 130.670 │ 0 │ 197.265 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Five y operating c f growth per share │ 13.116 │ 19.166 │ 25.194 │ 0 │ 52.450 │ 6.872 │ 6.770 │ 4.027 │ 2.898 │ 2.709 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Three y operating c f growth per share │ 8.210 │ 0 │ 25.909 │ 3.309 │ 2.664 │ 1.768 │ 1.780 │ 1.531 │ 1.134 │ 0.749 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Ten y net income growth per share │ 39.933 │ 80.593 │ 224.721 │ 226.744 │ 636.791 │ 86.974 │ 104.240 │ 168.500 │ 194.238 │ 163.096 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Five y net income growth per share │ 8.370 │ 14.591 │ 50.197 │ 34.633 │ 84.618 │ 8.389 │ 5.750 │ 2.311 │ 4.479 │ 0.917 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Three y net income growth per share │ 8.284 │ 11.766 │ 29.301 │ 4.564 │ 6.817 │ 0.703 │ 1.418 │ 0.172 │ 2.247 │ 1.220 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Ten y shareholders equity growth per share │ -3.048 M │ -996.493 K │ -3.835 M │ -13.649 M │ -19.361 M │ 173.846 │ 144.706 │ 192.235 │ 251.082 │ 234.882 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Five y shareholders equity growth per share │ 20.726 │ 3.620 │ 16.709 │ 53.559 │ 59.025 │ 7.048 │ 30.537 │ 9.912 │ 3.620 │ 2.930 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Three y shareholders equity growth per share │ 13.073 │ 2.983 │ 10.889 │ 3.479 │ 18.429 │ 5.396 │ 1.302 │ 1.161 │ 1.571 │ 1.421 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Ten y dividendper share growth per share │ -1 │ 0.102 │ 1.253 │ 0.092 │ -1 │ -1 │ 0 │ -1 │ 0 │ -1 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Five y dividendper share growth per share │ -1 │ 0 │ -0.479 │ 0 │ -1 │ 0 │ -1 │ -1 │ -1 │ 0 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Three y dividendper share growth per share │ -1 │ 0 │ -0.511 │ 0 │ -1 │ -1 │ -1 │ 0 │ 0 │ 0 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Receivables growth │ 1.304 │ 2.694 │ 2.339 │ -0.298 │ 0.052 │ 0.821 │ 0.187 │ 0.179 │ 0.458 │ 0.305 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Inventory growth │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0.882 │ 0.741 │ 0.875 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Asset growth │ 2.087 │ 0.351 │ 0.749 │ 1.290 │ 0.427 │ 0.391 │ 0.415 │ 0.346 │ 0.360 │ 0.287 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Book valueper share growth │ 0 │ 0 │ 0 │ 0 │ 0.419 │ 0.267 │ 0.281 │ 0.332 │ 0.507 │ 0.206 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Debt growth │ -0.003 │ 20.754 │ 0.472 │ 0.280 │ 0.098 │ 0.588 │ 0.369 │ 0.070 │ 0.097 │ 0.232 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Rdexpense growth │ 2.692 │ 0.295 │ 0.357 │ 1.093 │ 0.294 │ 0.237 │ 0.334 │ 0.645 │ 0.151 │ 0.329 │ ├──────────────────────────────────────────────┼──────────┼────────────┼──────────┼───────────┼───────────┼─────────┼─────────┼─────────┼─────────┼─────────┤ │ Sgaexpenses growth │ 2.454 │ 0.307 │ 0.460 │ 0.849 │ 0.180 │ 0.330 │ 0.327 │ 0.532 │ 0.133 │ 0.959 │ └──────────────────────────────────────────────┴──────────┴────────────┴──────────┴───────────┴───────────┴─────────┴─────────┴─────────┴─────────┴─────────┘ "},{"id":603,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fmp/income/","title":"Income","parent":"Fmp","content":"usage: income [-l LIMIT] [-q] [-h] [--export {csv,json,xlsx}] Prints a complete income statement over time. This can be either quarterly or annually. [Source: Financial Modeling Prep]\noptional arguments: -l LIMIT, --limit LIMIT Limit of latest years/quarters. (default: 1) -q, --quarter Quarter fundamental data flag. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example (ticker is FB):\n2022 Feb 16, 05:30 (✨) /stocks/fa/fmp/ $ income -l 10 Ticker Income Statement ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┓ ┃ ┃ 2012 ┃ 2013 ┃ 2014 ┃ 2015 ┃ 2016 ┃ 2017 ┃ 2018 ┃ 2019 ┃ 2020 ┃ 2021 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━┩ │ Reported currency │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Cik │ 1.327 M │ 1.327 M │ 1.327 M │ 1.327 M │ 1.327 M │ 1.327 M │ 1.327 M │ 1.327 M │ 1.327 M │ 1.327 M │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Filling date │ 2013-02-01 │ 2014-01-31 │ 2015-01-29 │ 2016-01-28 │ 2017-02-03 │ 2018-02-01 │ 2019-01-31 │ 2020-01-30 │ 2021-01-28 │ 2022-02-03 │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Accepted date │ 2013-02-01 16:43:01 │ 2014-01-31 16:10:34 │ 2015-01-29 16:35:58 │ 2016-01-28 16:17:07 │ 2017-02-02 21:13:52 │ 2018-02-01 16:58:26 │ 2019-01-31 16:58:29 │ 2020-01-29 21:12:14 │ 2021-01-27 21:13:48 │ 2022-02-02 21:11:04 │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Calendar year │ 2.012 K │ 2.013 K │ 2.014 K │ 2.015 K │ 2.016 K │ 2.017 K │ 2.018 K │ 2.019 K │ 2.020 K │ 2.021 K │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Period │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Revenue │ 5.089 B │ 7.872 B │ 12.466 B │ 17.928 B │ 27.638 B │ 40.653 B │ 55.838 B │ 70.697 B │ 85.965 B │ 117.929 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Cost of revenue │ 1.364 B │ 1.875 B │ 2.153 B │ 2.867 B │ 3.789 B │ 5.454 B │ 9.355 B │ 12.770 B │ 16.692 B │ 22.649 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Gross profit │ 3.725 B │ 5.997 B │ 10.313 B │ 15.061 B │ 23.849 B │ 35.199 B │ 46.483 B │ 57.927 B │ 69.273 B │ 95.280 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Gross profit ratio │ 0.732 │ 0.762 │ 0.827 │ 0.840 │ 0.863 │ 0.866 │ 0.832 │ 0.819 │ 0.806 │ 0.808 │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Research and development expenses │ 1.399 B │ 1.415 B │ 2.666 B │ 4.816 B │ 5.919 B │ 7.754 B │ 10.273 B │ 13.600 B │ 18.447 B │ 24.655 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ General and administrative expenses │ 892 M │ 781 M │ 973 M │ 1.295 B │ 1.731 B │ 2.517 B │ 3.451 B │ 10.465 B │ 6.564 B │ 9.829 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Selling and marketing expenses │ 896 M │ 997 M │ 1.680 B │ 2.725 B │ 3.772 B │ 4.725 B │ 7.846 B │ 9.876 B │ 11.591 B │ 14.043 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Selling general and administrative expenses │ 1.788 B │ 1.778 B │ 2.653 B │ 4.020 B │ 5.503 B │ 7.242 B │ 11.297 B │ 20.341 B │ 18.155 B │ 23.872 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Other expenses │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Operating expenses │ 3.187 B │ 3.193 B │ 5.319 B │ 8.836 B │ 11.422 B │ 14.996 B │ 21.570 B │ 33.941 B │ 36.602 B │ 48.527 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Cost and expenses │ 4.551 B │ 5.068 B │ 7.472 B │ 11.703 B │ 15.211 B │ 20.450 B │ 30.925 B │ 46.711 B │ 53.294 B │ 71.176 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Interest income │ 14 M │ 19 M │ 27 M │ 52 M │ 176 M │ 398 M │ 661 M │ 924 M │ 672 M │ 461 M │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Interest expense │ 51 M │ 56 M │ 23 M │ 23 M │ 10 M │ 6 M │ 9 M │ 20 M │ 0 │ 0 │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Depreciation and amortization │ 649 M │ 1.011 B │ 1.243 B │ 1.945 B │ 2.342 B │ 3.025 B │ 4.315 B │ 5.741 B │ 6.862 B │ 7.967 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Ebitda │ 1.194 B │ 3.821 B │ 6.176 B │ 8.162 B │ 14.870 B │ 23.625 B │ 29.685 B │ 30.573 B │ 40.042 B │ 55.251 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Ebitdaratio │ 0.235 │ 0.485 │ 0.495 │ 0.455 │ 0.538 │ 0.581 │ 0.532 │ 0.432 │ 0.466 │ 0.469 │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Operating income │ 538 M │ 2.804 B │ 4.994 B │ 6.225 B │ 12.427 B │ 20.203 B │ 24.913 B │ 23.986 B │ 32.671 B │ 46.753 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Operating income ratio │ 0.106 │ 0.356 │ 0.401 │ 0.347 │ 0.450 │ 0.497 │ 0.446 │ 0.339 │ 0.386 │ 0.401 │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Total other income expenses net │ 44 M │ 50 M │ 84 M │ 31 M │ -91 M │ -391 M │ -448 M │ -826 M │ -509 M │ -531 M │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Income before tax │ 494 M │ 2.754 B │ 4.910 B │ 6.194 B │ 12.518 B │ 20.594 B │ 25.361 B │ 24.812 B │ 33.180 B │ 47.284 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Income before tax ratio │ 0.097 │ 0.350 │ 0.394 │ 0.345 │ 0.453 │ 0.507 │ 0.454 │ 0.351 │ 0.386 │ 0.401 │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Income tax expense │ 441 M │ 1.254 B │ 1.970 B │ 2.506 B │ 2.301 B │ 4.660 B │ 3.249 B │ 6.327 B │ 4.034 B │ 7.914 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Net income │ 53 M │ 1.500 B │ 2.940 B │ 3.688 B │ 10.217 B │ 15.934 B │ 22.112 B │ 18.485 B │ 29.146 B │ 39.370 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Net income ratio │ 0.010 │ 0.191 │ 0.236 │ 0.206 │ 0.370 │ 0.392 │ 0.396 │ 0.261 │ 0.339 │ 0.334 │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Eps │ 0.020 │ 0.620 │ 1.120 │ 1.310 │ 3.560 │ 5.490 │ 7.650 │ 6.480 │ 10.220 │ 13.991 │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Epsdiluted │ 0.010 │ 0.600 │ 1.100 │ 1.290 │ 3.490 │ 5.390 │ 7.570 │ 6.430 │ 10.090 │ 13.771 │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Weighted average shs out │ 2.006 B │ 2.420 B │ 2.614 B │ 2.803 B │ 2.863 B │ 2.901 B │ 2.890 B │ 2.854 B │ 2.851 B │ 2.814 B │ ├─────────────────────────────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┼─────────────────────┤ │ Weighted average shs out dil │ 2.166 B │ 2.517 B │ 2.664 B │ 2.853 B │ 2.925 B │ 2.956 B │ 2.921 B │ 2.876 B │ 2.888 B │ 2.859 B │ └─────────────────────────────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┴─────────────────────┘ Final link Fiscal Date Ending 2012 https://www.sec.gov/Archives/edgar/data/1326801/000132680113000003/fb-12312012x10k.htm 2013 https://www.sec.gov/Archives/edgar/data/1326801/000132680114000007/fb-12312013x10k.htm 2014 https://www.sec.gov/Archives/edgar/data/1326801/000132680115000006/fb-12312014x10k.htm 2015 https://www.sec.gov/Archives/edgar/data/1326801/000132680116000043/fb-12312015x10k.htm 2016 https://www.sec.gov/Archives/edgar/data/1326801/000132680117000007/fb-12312016x10k.htm 2017 https://www.sec.gov/Archives/edgar/data/1326801/000132680118000009/fb-12312017x10k.htm 2018 https://www.sec.gov/Archives/edgar/data/1326801/000132680119000009/fb-12312018x10k.htm 2019 https://www.sec.gov/Archives/edgar/data/1326801/000132680120000013/fb-12312019x10k.htm 2020 https://www.sec.gov/Archives/edgar/data/1326801/000132680121000014/fb-20201231.htm 2021 https://www.sec.gov/Archives/edgar/data/1326801/000132680122000018/fb-20211231.htm Link Fiscal Date Ending 2012 https://www.sec.gov/Archives/edgar/data/1326801/000132680113000003/0001326801-13-000003-index.html 2013 https://www.sec.gov/Archives/edgar/data/1326801/000132680114000007/fb-12312013x10k.htm 2014 https://www.sec.gov/Archives/edgar/data/1326801/000132680115000006/fb-12312014x10k.htm 2015 https://www.sec.gov/Archives/edgar/data/1326801/000132680116000043/0001326801-16-000043-index.html 2016 https://www.sec.gov/Archives/edgar/data/1326801/000132680117000007/0001326801-17-000007-index.html 2017 https://www.sec.gov/Archives/edgar/data/1326801/000132680118000009/0001326801-18-000009-index.html 2018 https://www.sec.gov/Archives/edgar/data/1326801/000132680119000009/0001326801-19-000009-index.html 2019 https://www.sec.gov/Archives/edgar/data/1326801/000132680120000013/0001326801-20-000013-index.html 2020 https://www.sec.gov/Archives/edgar/data/1326801/000132680121000014/0001326801-21-000014-index.htm 2021 https://www.sec.gov/Archives/edgar/data/1326801/000132680122000018/0001326801-22-000018-index.htm "},{"id":604,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fmp/metrics/","title":"Metrics","parent":"Fmp","content":"usage: metrics [-l LIMIT] [-q] [-h] [--export {csv,json,xlsx}] Prints a list of the key metrics of a company over time. This can be either quarterly or annually. [Source: Financial Modeling Prep]\noptional arguments: -l LIMIT, --limit LIMIT Limit of latest years/quarters. (default: 1) -q, --quarter Quarter fundamental data flag. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example (ticker is AMZN):\n2022 Feb 16, 05:34 (✨) /stocks/fa/fmp/ $ metrics -l 10 Ticker Key Metrics ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ 2012 ┃ 2013 ┃ 2014 ┃ 2015 ┃ 2016 ┃ 2017 ┃ 2018 ┃ 2019 ┃ 2020 ┃ 2021 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ Period │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Revenue per share │ 134.863 │ 162.915 │ 192.615 │ 229.135 │ 286.892 │ 370.554 │ 478.207 │ 567.858 │ 764.483 │ 930.341 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Net income per share │ -0.086 │ 0.600 │ -0.522 │ 1.276 │ 5.002 │ 6.319 │ 20.684 │ 23.457 │ 42.240 │ 66.067 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Operating cash flow per share │ 9.227 │ 11.980 │ 14.810 │ 25.525 │ 34.690 │ 38.404 │ 63.086 │ 77.964 │ 130.820 │ 91.737 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Free cash flow per share │ 0.872 │ 4.444 │ 4.219 │ 15.698 │ 20.477 │ 13.498 │ 35.515 │ 43.832 │ 51.335 │ -29.160 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Cash per share │ 25.272 │ 27.236 │ 37.697 │ 42.415 │ 54.812 │ 64.554 │ 84.702 │ 111.379 │ 167.121 │ 190.196 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Book value per share │ 18.084 │ 21.326 │ 23.249 │ 28.660 │ 40.686 │ 57.727 │ 89.423 │ 125.628 │ 184.958 │ 273.752 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Tangible book value per share │ 10.850 │ 14.105 │ 14.411 │ 18.979 │ 30.901 │ 22.892 │ 51.111 │ 87.565 │ 145.358 │ 243.315 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Shareholders equity per share │ 18.084 │ 21.326 │ 23.249 │ 28.660 │ 40.686 │ 57.727 │ 89.423 │ 125.628 │ 184.958 │ 273.752 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Interest debt per share │ 7.011 │ 7.291 │ 18.344 │ 18.617 │ 17.253 │ 53.315 │ 51.154 │ 50.636 │ 170.368 │ 234.067 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Market cap │ 123.560 B │ 184.176 B │ 163.793 B │ 274.129 B │ 393.600 B │ 690.154 B │ 813.499 B │ 924.116 B │ 1.619 T │ 1.454 T │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Enterprise value │ 118.560 B │ 178.709 B │ 157.501 B │ 266.474 B │ 381.960 B │ 694.375 B │ 805.244 B │ 911.438 B │ 1.661 T │ 1.534 T │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Pe ratio │ -3.168 K │ 672.174 │ -679.638 │ 459.948 │ 166.006 │ 227.548 │ 80.760 │ 79.748 │ 75.905 │ 43.585 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Price to sales ratio │ 2.022 │ 2.474 │ 1.841 │ 2.562 │ 2.894 │ 3.880 │ 3.493 │ 3.294 │ 4.194 │ 3.095 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Pocfratio │ 29.560 │ 33.639 │ 23.939 │ 22.997 │ 23.937 │ 37.439 │ 26.479 │ 23.994 │ 24.509 │ 31.389 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Pfcf ratio │ 312.811 │ 90.682 │ 84.039 │ 37.393 │ 40.552 │ 106.522 │ 47.034 │ 42.678 │ 62.457 │ -98.749 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Pb ratio │ 15.083 │ 18.898 │ 15.249 │ 20.482 │ 20.410 │ 24.907 │ 18.680 │ 14.891 │ 17.335 │ 10.519 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Ptb ratio │ 15.083 │ 18.898 │ 15.249 │ 20.482 │ 20.410 │ 24.907 │ 18.680 │ 14.891 │ 17.335 │ 10.519 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Ev to sales │ 1.941 │ 2.400 │ 1.770 │ 2.490 │ 2.809 │ 3.904 │ 3.458 │ 3.249 │ 4.303 │ 3.266 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Enterprise value over EBITDA │ 44.909 │ 46.672 │ 32.262 │ 32.160 │ 30.813 │ 43.054 │ 28.730 │ 24.402 │ 32.518 │ 20.662 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Ev to operating cash flow │ 28.364 │ 32.641 │ 23.020 │ 22.355 │ 23.229 │ 37.668 │ 26.210 │ 23.665 │ 25.148 │ 33.120 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Ev to free cash flow │ 300.153 │ 87.990 │ 80.811 │ 36.349 │ 39.353 │ 107.173 │ 46.557 │ 42.093 │ 64.087 │ -104.193 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Earnings yield │ -0.000 │ 0.001 │ -0.001 │ 0.002 │ 0.006 │ 0.004 │ 0.012 │ 0.013 │ 0.013 │ 0.023 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Free cash flow yield │ 0.003 │ 0.011 │ 0.012 │ 0.027 │ 0.025 │ 0.009 │ 0.021 │ 0.023 │ 0.016 │ -0.010 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Debt to equity │ 0.376 │ 0.327 │ 0.769 │ 0.615 │ 0.399 │ 0.893 │ 0.540 │ 0.377 │ 0.903 │ 0.842 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Debt to assets │ 0.748 │ 0.757 │ 0.803 │ 0.795 │ 0.769 │ 0.789 │ 0.732 │ 0.724 │ 0.709 │ 0.671 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Net debt to EBITDA │ -1.894 │ -1.428 │ -1.289 │ -0.924 │ -0.939 │ 0.262 │ -0.295 │ -0.339 │ 0.827 │ 1.080 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Current ratio │ 1.121 │ 1.072 │ 1.115 │ 1.076 │ 1.045 │ 1.040 │ 1.098 │ 1.097 │ 1.050 │ 1.136 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Interest coverage │ 7.348 │ 5.284 │ 0.848 │ 4.865 │ 8.649 │ 4.842 │ 8.766 │ 9.088 │ 13.903 │ 13.753 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Income quality │ -107.179 │ 19.982 │ -28.390 │ 20 │ 6.935 │ 6.078 │ 3.050 │ 3.324 │ 3.097 │ 1.389 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Payout ratio │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ 0 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Sales general and administrative to revenue │ 0.015 │ 0.015 │ 0.017 │ 0.016 │ 0.018 │ 0.021 │ 0.019 │ 0.019 │ 0.017 │ 0.019 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Research and ddevelopement to revenue │ 0.075 │ 0.088 │ 0.104 │ 0.117 │ 0.118 │ 0.127 │ 0.124 │ 0.128 │ 0.111 │ 0.119 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Intangibles to total assets │ 0.101 │ 0.082 │ 0.075 │ 0.069 │ 0.056 │ 0.127 │ 0.115 │ 0.083 │ 0.062 │ 0.037 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Capex to operating cash flow │ -0.906 │ -0.629 │ -0.715 │ -0.385 │ -0.410 │ -0.649 │ -0.437 │ -0.438 │ -0.608 │ -1.318 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Capex to revenue │ -0.062 │ -0.046 │ -0.055 │ -0.043 │ -0.050 │ -0.067 │ -0.058 │ -0.060 │ -0.104 │ -0.130 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Capex to depreciation │ -1.753 │ -1.059 │ -1.031 │ -0.731 │ -0.830 │ -1.042 │ -0.875 │ -0.774 │ -1.590 │ -1.780 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Stock based compensation to revenue │ 0.014 │ 0.015 │ 0.017 │ 0.020 │ 0.022 │ 0.024 │ 0.023 │ 0.024 │ 0.024 │ 0.027 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Graham number │ 5.919 │ 16.961 │ 16.519 │ 28.687 │ 67.669 │ 90.593 │ 204.000 │ 257.498 │ 419.265 │ 637.916 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Roic │ 0.050 │ 0.043 │ 0.007 │ 0.071 │ 0.106 │ 0.056 │ 0.132 │ 0.106 │ 0.118 │ 0.089 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Return on tangible assets │ -0.001 │ 0.007 │ -0.005 │ 0.010 │ 0.030 │ 0.026 │ 0.070 │ 0.056 │ 0.071 │ 0.082 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Graham net net │ -16.284 │ -23.381 │ -38.938 │ -47.780 │ -55.171 │ -113.997 │ -116.539 │ -166.612 │ -223.943 │ -287.657 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Working capital │ 2.294 B │ 1.645 B │ 3.238 B │ 2.575 B │ 1.965 B │ 2.314 B │ 6.710 B │ 8.522 B │ 6.348 B │ 19.314 B │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Tangible asset value │ 4.915 B │ 6.446 B │ 6.658 B │ 8.863 B │ 14.647 B │ 10.988 B │ 24.891 B │ 43.257 B │ 73.406 B │ 122.874 B │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Net current asset value │ -3.067 B │ -5.788 B │ -12.437 B │ -15.586 B │ -18.336 B │ -43.404 B │ -43.998 B │ -66.854 B │ -95.058 B │ -120.724 B │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Invested capital │ 0.376 │ 0.327 │ 0.769 │ 0.615 │ 0.399 │ 0.893 │ 0.540 │ 0.377 │ 0.903 │ 0.842 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Average receivables │ 13.953 B │ 14.655 B │ 15.077 B │ 15.482 B │ 16.441 B │ 18.853 B │ 20.610 B │ 22.679 B │ 24.542 B │ 28.716 B │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Average payables │ 42.928 B │ 43.836 B │ 44.499 B │ 46.468 B │ 48.924 B │ 53.578 B │ 55.365 B │ 59.861 B │ 72.539 B │ 75.602 B │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Average inventory │ 14.913 B │ 15.603 B │ 16.047 B │ 17.019 B │ 17.628 B │ 19.921 B │ 20.485 B │ 22.146 B │ 23.795 B │ 28.218 B │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Days sales outstanding │ 20.098 │ 23.370 │ 23.019 │ 21.909 │ 22.383 │ 27.014 │ 26.138 │ 27.085 │ 23.203 │ 25.553 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Days payables outstanding │ 92.786 │ 88.002 │ 81.715 │ 87.524 │ 87.244 │ 92.102 │ 80.493 │ 83.695 │ 90.728 │ 82.636 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Days of inventory on hand │ 42.018 │ 43.097 │ 41.203 │ 43.953 │ 39.508 │ 42.696 │ 36.196 │ 36.358 │ 29.762 │ 34.288 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Receivables turnover │ 18.161 │ 15.618 │ 15.857 │ 16.660 │ 16.307 │ 13.512 │ 13.965 │ 13.476 │ 15.731 │ 14.284 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Payables turnover │ 3.934 │ 4.148 │ 4.467 │ 4.170 │ 4.184 │ 3.963 │ 4.535 │ 4.361 │ 4.023 │ 4.417 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Inventory turnover │ 8.687 │ 8.469 │ 8.859 │ 8.304 │ 9.239 │ 8.549 │ 10.084 │ 10.039 │ 12.264 │ 10.645 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Roe │ -0.005 │ 0.028 │ -0.022 │ 0.045 │ 0.123 │ 0.109 │ 0.231 │ 0.187 │ 0.228 │ 0.241 │ ├─────────────────────────────────────────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼───────────┼────────────┤ │ Capex per share │ -8.355 │ -7.536 │ -10.591 │ -9.827 │ -14.213 │ -24.906 │ -27.571 │ -34.132 │ -79.485 │ -120.897 │ └─────────────────────────────────────────────┴───────────┴───────────┴───────────┴───────────┴───────────┴───────────┴───────────┴───────────┴───────────┴────────────┘ "},{"id":605,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fmp/profile/","title":"Profile","parent":"Fmp","content":"usage: profile [-h] Displays a profile of the loaded company. Source: https://site.financialmodelingprep.com/developer/\noptional arguments: -h, --help show this help message (default: False) "},{"id":606,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fmp/quote/","title":"Quote","parent":"Fmp","content":"usage: quote [-h] Displays a detailed quote of the loaded company. Source: https://site.financialmodelingprep.com/developer/docs\noptional arguments: -h, --help show this help message (default: False) "},{"id":607,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fmp/ratios/","title":"Ratios","parent":"Fmp","content":"usage: ratios [-l LIMIT] [-q] [-h] [--export {csv,json,xlsx}] Prints in-depth ratios of a company over time. This can be either quarterly or annually. This contains, among other things, Price-to-Book Ratio, Payout Ratio and Operating Cycle. [Source: Financial Modeling Prep]\noptional arguments: -l LIMIT, --limit LIMIT Limit of latest years/quarters. (default: 1) -q, --quarter Quarter fundamental data flag. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example (ticker is AAPL):\n2022 Feb 16, 05:39 (✨) /stocks/fa/fmp/ $ ratios -l 10 Ticker Ratios ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┓ ┃ ┃ 2012 ┃ 2013 ┃ 2014 ┃ 2015 ┃ 2016 ┃ 2017 ┃ 2018 ┃ 2019 ┃ 2020 ┃ 2021 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━┩ │ Period │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ FY │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Current ratio │ 1.496 │ 1.679 │ 1.080 │ 1.109 │ 1.353 │ 1.276 │ 1.124 │ 1.540 │ 1.364 │ 1.075 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Quick ratio │ 1.241 │ 1.402 │ 0.824 │ 0.892 │ 1.221 │ 1.090 │ 0.987 │ 1.384 │ 1.218 │ 0.910 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Cash ratio │ 0.279 │ 0.327 │ 0.218 │ 0.262 │ 0.259 │ 0.201 │ 0.222 │ 0.462 │ 0.361 │ 0.278 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Days of sales outstanding │ 43.593 │ 44.081 │ 54.350 │ 47.388 │ 49.593 │ 56.801 │ 67.332 │ 64.259 │ 49.788 │ 51.391 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Days of inventory outstanding │ 3.287 │ 6.040 │ 6.864 │ 6.120 │ 5.923 │ 12.564 │ 8.818 │ 9.264 │ 8.742 │ 11.277 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Operating cycle │ 46.879 │ 50.121 │ 61.214 │ 53.508 │ 55.516 │ 69.364 │ 76.150 │ 73.522 │ 58.529 │ 62.668 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Days of payables outstanding │ 87.982 │ 76.581 │ 98.180 │ 92.469 │ 103.613 │ 126.928 │ 124.570 │ 104.314 │ 91.048 │ 93.851 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Cash conversion cycle │ -41.103 │ -26.460 │ -36.967 │ -38.961 │ -48.097 │ -57.563 │ -48.420 │ -30.792 │ -32.519 │ -31.184 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Gross profit margin │ 0.439 │ 0.376 │ 0.386 │ 0.401 │ 0.391 │ 0.385 │ 0.383 │ 0.378 │ 0.382 │ 0.418 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Operating profit margin │ 0.353 │ 0.287 │ 0.287 │ 0.305 │ 0.278 │ 0.268 │ 0.267 │ 0.246 │ 0.241 │ 0.298 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Pretax profit margin │ 0.356 │ 0.293 │ 0.293 │ 0.310 │ 0.285 │ 0.280 │ 0.274 │ 0.253 │ 0.244 │ 0.299 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Net profit margin │ 0.267 │ 0.217 │ 0.216 │ 0.228 │ 0.212 │ 0.211 │ 0.224 │ 0.212 │ 0.209 │ 0.259 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Effective tax rate │ 0.252 │ 0.262 │ 0.261 │ 0.264 │ 0.256 │ 0.246 │ 0.183 │ 0.159 │ 0.144 │ 0.133 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Return on assets │ 0.237 │ 0.179 │ 0.170 │ 0.184 │ 0.142 │ 0.129 │ 0.163 │ 0.163 │ 0.177 │ 0.270 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Return on equity │ 0.353 │ 0.300 │ 0.354 │ 0.447 │ 0.356 │ 0.361 │ 0.556 │ 0.611 │ 0.879 │ 1.501 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Return on capital employed │ 0.402 │ 0.300 │ 0.312 │ 0.339 │ 0.247 │ 0.223 │ 0.285 │ 0.275 │ 0.303 │ 0.483 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Net income per EBT │ 0.748 │ 0.738 │ 0.739 │ 0.736 │ 0.744 │ 0.754 │ 0.817 │ 0.841 │ 0.856 │ 0.867 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Ebt per ebit │ 1.009 │ 1.024 │ 1.019 │ 1.018 │ 1.022 │ 1.045 │ 1.028 │ 1.028 │ 1.012 │ 1.002 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Ebit per revenue │ 0.353 │ 0.287 │ 0.287 │ 0.305 │ 0.278 │ 0.268 │ 0.267 │ 0.246 │ 0.241 │ 0.298 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Debt ratio │ 0.329 │ 0.403 │ 0.519 │ 0.589 │ 0.601 │ 0.643 │ 0.707 │ 0.733 │ 0.798 │ 0.820 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Debt equity ratio │ 0.489 │ 0.675 │ 1.078 │ 1.434 │ 1.508 │ 1.800 │ 2.413 │ 2.741 │ 3.957 │ 4.564 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Company equity multiplier │ 1.489 │ 1.675 │ 2.078 │ 2.434 │ 2.508 │ 2.800 │ 3.413 │ 3.741 │ 4.957 │ 5.564 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Receivables turnover │ 8.373 │ 8.280 │ 6.716 │ 7.702 │ 7.360 │ 6.426 │ 5.421 │ 5.680 │ 7.331 │ 7.102 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Payables turnover │ 4.149 │ 4.766 │ 3.718 │ 3.947 │ 3.523 │ 2.876 │ 2.930 │ 3.499 │ 4.009 │ 3.889 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Inventory turnover │ 111.057 │ 60.434 │ 53.178 │ 59.638 │ 61.621 │ 29.052 │ 41.394 │ 39.401 │ 41.753 │ 32.368 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Fixed asset turnover │ 10.129 │ 10.298 │ 8.863 │ 10.401 │ 7.984 │ 6.785 │ 6.430 │ 6.961 │ 7.467 │ 9.275 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Asset turnover │ 0.889 │ 0.826 │ 0.788 │ 0.805 │ 0.670 │ 0.611 │ 0.726 │ 0.769 │ 0.848 │ 1.042 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Operating cash flow per share │ 1.943 │ 2.071 │ 2.453 │ 3.531 │ 3.008 │ 3.047 │ 3.907 │ 3.757 │ 4.649 │ 6.229 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Free cash flow per share │ 1.584 │ 1.721 │ 2.050 │ 3.032 │ 2.389 │ 2.434 │ 3.235 │ 3.189 │ 4.228 │ 5.566 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Cash per share │ 1.113 │ 1.565 │ 1.030 │ 1.808 │ 3.069 │ 3.555 │ 3.345 │ 5.444 │ 5.241 │ 3.751 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Payout ratio │ 0.060 │ 0.285 │ 0.282 │ 0.217 │ 0.266 │ 0.264 │ 0.230 │ 0.256 │ 0.245 │ 0.153 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Operating cash flow sales ratio │ 0.325 │ 0.314 │ 0.327 │ 0.348 │ 0.305 │ 0.277 │ 0.292 │ 0.267 │ 0.294 │ 0.284 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Free cash flow operating cash flow ratio │ 0.815 │ 0.831 │ 0.836 │ 0.859 │ 0.794 │ 0.799 │ 0.828 │ 0.849 │ 0.909 │ 0.893 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Capital expenditure coverage ratio │ -5.409 │ -5.913 │ -6.085 │ -7.074 │ -4.859 │ -4.971 │ -5.816 │ -6.612 │ -11.038 │ -9.385 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Dividend paid and capex coverage ratio │ -7.356 │ 36.066 │ 45.478 │ 1.113 K │ -47.084 │ -2.446 K │ 194.070 │ 19.148 │ 11.913 │ 30.762 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Dividend payout ratio │ 0.060 │ 0.285 │ 0.282 │ 0.217 │ 0.266 │ 0.264 │ 0.230 │ 0.256 │ 0.245 │ 0.153 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Price book value ratio │ 4.776 │ 3.969 │ 5.734 │ 5.557 │ 5.019 │ 6.489 │ 9.816 │ 12.710 │ 30.554 │ 39.348 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Price to book ratio │ 4.776 │ 3.969 │ 5.734 │ 5.557 │ 5.019 │ 6.489 │ 9.816 │ 12.710 │ 30.554 │ 39.348 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Price to sales ratio │ 3.608 │ 2.869 │ 3.499 │ 2.838 │ 2.985 │ 3.794 │ 3.960 │ 4.420 │ 7.272 │ 6.786 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Price earnings ratio │ 13.530 │ 13.239 │ 16.190 │ 12.422 │ 14.088 │ 17.990 │ 17.667 │ 20.814 │ 34.773 │ 26.220 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Price to free cash flows ratio │ 13.621 │ 10.996 │ 12.819 │ 9.505 │ 12.312 │ 17.121 │ 16.402 │ 19.527 │ 27.211 │ 26.707 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Price to operating cash flows ratio │ 11.103 │ 9.136 │ 10.712 │ 8.162 │ 9.778 │ 13.677 │ 13.582 │ 16.574 │ 24.746 │ 23.861 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Price cash flow ratio │ 11.103 │ 9.136 │ 10.712 │ 8.162 │ 9.778 │ 13.677 │ 13.582 │ 16.574 │ 24.746 │ 23.861 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Price earnings to growth ratio │ 0.229 │ -1.282 │ 1.200 │ 0.289 │ -1.406 │ 1.633 │ 0.598 │ -62.493 │ 3.277 │ 0.368 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Price sales ratio │ 3.608 │ 2.869 │ 3.499 │ 2.838 │ 2.985 │ 3.794 │ 3.960 │ 4.420 │ 7.272 │ 6.786 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Dividend yield │ 0.004 │ 0.022 │ 0.017 │ 0.017 │ 0.019 │ 0.015 │ 0.013 │ 0.012 │ 0.007 │ 0.006 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Enterprise value multiple │ 9.382 │ 8.642 │ 10.695 │ 8.362 │ 9.684 │ 12.606 │ 13.100 │ 14.772 │ 25.559 │ 20.890 │ ├──────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────┼─────────┼─────────┼─────────┼─────────┤ │ Price fair value │ 4.776 │ 3.969 │ 5.734 │ 5.557 │ 5.019 │ 6.489 │ 9.816 │ 12.710 │ 30.554 │ 39.348 │ └──────────────────────────────────────────┴─────────┴─────────┴─────────┴─────────┴─────────┴──────────┴─────────┴─────────┴─────────┴─────────┘ "},{"id":608,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/fraud/","title":"Fraud","parent":"Fundamental Analysis","content":"usage: fraud [-h] [-d] [-e] [--export {csv,json,xlsx}] optional arguments: -e, --explanation whether to show the description for the metrics (default: false) -d, --detail\tshow detials on the calculation of mscore -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Example (ticker is MSFT):\n2022 Feb 16, 05:42 (✨) /stocks/fa/ $ fraud AMscore Sub Stats: DSRI : 1.03 GMI : 0.98 AQI : 0.50 SGI : 1.18 DEPI : 1.07 SGAI : 0.86 LVGI : 0.95 TATA : -0.05 MSCORE: -2.62 (low chance of fraud) ZSCORE: -1.89 (high chance of bankruptcy) McKee: 0.86 (high chance of bankruptcy) Mscore: The Beneish model is a statistical model that uses financial ratios calculated with accounting data of a specific company in order to check if it is likely (high probability) that the reported earnings of the company have been manipulated. A score of -5 to -2.22 indicated a low chance of fraud, a score of -2.22 to -1.78 indicates a moderate change of fraud, and a score above -1.78 indicated a high chance of fraud.[Source: Wikipedia]\nDSRI: Days Sales in Receivables Index gauges whether receivables and revenue are out of balance, a large number is expected to be associated with a higher likelihood that revenues and earnings are overstated.\nGMI: Gross Margin Index shows if gross margins are deteriorating. Research suggests that firms with worsening gross margin are more likely to engage in earnings management, therefore there should be a positive correlation between GMI and probability of earnings management.\nAQI: Asset Quality Index measures the proportion of assets where potential benefit is less certain. A positive relation between AQI and earnings manipulation is expected.\nSGI: Sales Growth Index shows the amount of growth companies are having. Higher growth companies are more likely to commit fraud so there should be a positive relation between SGI and earnings management.\nDEPI: Depreciation Index is the ratio for the rate of depreciation. A DEPI greater than 1 shows that the depreciation rate has slowed and is positively correlated with earnings management.\nSGAI: Sales General and Administrative Expenses Index measures the change in SG\u0026amp;A over sales. There should be a positive relationship between SGAI and earnings management.\nLVGI: Leverage Index represents change in leverage. A LVGI greater than one indicates a lower change of fraud.\nTATA: Total Accruals to Total Assets is a proxy for the extent that cash underlies earnigns. A higher number is associated with a higher likelihood of manipulation.\nZscore: The Zmijewski Score is a bankruptcy model used to predict a firm\u0026rsquo;s bankruptcy in two years. The ratio uses in the Zmijewski score were determined by probit analysis (think of probit as probability unit). In this case, scores less than .5 represent a higher probability of default. One of the criticisms that Zmijewski made was that other bankruptcy scoring models oversampled distressed firms and favored situations with more complete data.[Source: YCharts]\nMcKee Score: The McKee Score is a bankruptcy model used to predict a firm\u0026rsquo;s bankruptcy in one year. It looks at a companie\u0026rsquo;s size, profitability, and liquidity to determine the probability. This model is 80% accurate in predicting bankruptcy. Source: McKee and Lensberg\n"},{"id":609,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/hq/","title":"Hq","parent":"Fundamental Analysis","content":"usage: hq [-h] [--export {csv,json,xlsx}] Opens in Google Maps, the location of the company headquarters.\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) "},{"id":610,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/income/","title":"Income","parent":"Fundamental Analysis","content":"usage: income [-l LIMIT] [-q] [-h] [--export {csv,json,xlsx}] Prints a complete income statement over time. This can be either quarterly or annually. [Source: Alpha Vantage]\noptional arguments: -l LIMIT, --limit LIMIT Number of latest years/quarters. (default: 1) -q, --quarter Quarter fundamental data flag. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 06:23 (✨) /stocks/fa/ $ income -l 5 MSFT Income Statement ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ 2017-06-30 ┃ 2018-06-30 ┃ 2019-06-30 ┃ 2020-06-30 ┃ 2021-06-30 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ reportedCurrency │ USD │ USD │ USD │ USD │ USD │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ grossProfit │ 62.310 B │ 72.007 B │ 82.933 B │ 96.937 B │ 115.856 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ totalRevenue │ 96.571 B │ 107.222 B │ 123.495 B │ 140.503 B │ 165.936 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ costOfRevenue │ 34.261 B │ 62.776 B │ 67.908 B │ 73.159 B │ 79.977 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ costofGoodsAndServicesSold │ 34.261 B │ 38.353 B │ 42.910 B │ 46.078 B │ 52.232 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ operatingIncome │ 29.025 B │ 35.058 B │ 42.959 B │ 52.959 B │ 69.916 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ sellingGeneralAndAdministrative │ 20.020 B │ 22.223 B │ 23.098 B │ 24.709 B │ 25.224 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ researchAndDevelopment │ 13.037 B │ 14.726 B │ 16.876 B │ 19.269 B │ 20.716 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ operatingExpenses │ 35.063 B │ 39.149 B │ 41.874 B │ 46.350 B │ 48.461 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ investmentIncomeNet │ 1.387 B │ 2.214 B │ 2.762 B │ 2.680 B │ 2.131 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ netInterestIncome │ -2.222 B │ -2.733 B │ -2.686 B │ -2.591 B │ -2.346 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ interestIncome │ 1.182 B │ 1.522 B │ 812 M │ 2.680 B │ 2.131 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ interestExpense │ 2.222 B │ 2.733 B │ 2.686 B │ 2.591 B │ 2.346 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ nonInterestIncome │ -674 M │ 109.955 B │ 126.181 B │ 143.094 B │ 168.282 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ otherNonOperatingIncome │ -251 M │ -59 M │ -57 M │ -40 M │ 98 M │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ depreciation │ 6.100 B │ 7.700 B │ 9.700 B │ 10.700 B │ 9.300 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ depreciationAndAmortization │ 1.700 B │ 2.200 B │ 1.900 B │ 2.211 B │ 2.521 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ incomeBeforeTax │ 29.901 B │ 36.474 B │ 43.688 B │ 53.036 B │ 71.102 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ incomeTaxExpense │ 4.412 B │ 19.903 B │ 4.448 B │ 8.755 B │ 9.831 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ interestAndDebtExpense │ 2.222 B │ 2.733 B │ 2.686 B │ 2.591 B │ 2.346 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ netIncomeFromContinuingOperations │ 21.204 B │ 16.571 B │ 39.240 B │ 44.281 B │ 61.271 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ comprehensiveIncomeNetOfTax │ 24.322 B │ 13.715 B │ 41.154 B │ 47.807 B │ 59.897 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ ebit │ 32.123 B │ 39.207 B │ 46.374 B │ 55.627 B │ 73.448 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ ebitda │ 33.823 B │ 41.407 B │ 48.274 B │ 57.838 B │ 75.969 B │ ├───────────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ netIncome │ 25.489 B │ 16.571 B │ 39.240 B │ 44.281 B │ 61.271 B │ └───────────────────────────────────┴────────────┴────────────┴────────────┴────────────┴────────────┘ "},{"id":611,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/info/","title":"Info","parent":"Fundamental Analysis","content":"usage: info [-h] [--export {csv,json,xlsx}] Print information about the company. [Source: Yahoo Finance]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 08:58 (✨) /stocks/fa/ $ info Ticker Info ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ Zip │ 78725 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Sector │ Consumer Cyclical │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Full time employees │ 99.290 K │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ City │ Austin │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Phone │ (512) 516-8177 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ State │ TX │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Country │ United States │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Website │ https://www.tesla.com │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Max age │ 1 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Address │ 13101 Tesla Road │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Industry │ Auto Manufacturers │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Ebitda margins │ 0.173 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Profit margins │ 0.103 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Gross margins │ 0.253 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Operating cashflow │ 11.497 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Revenue growth │ 0.649 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Operating margins │ 0.121 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Ebitda │ 9.333 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Target low price │ 250 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Recommendation key │ hold │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Gross profits │ 13.606 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Free cashflow │ 4.628 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Target median price │ 1.035 K │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Current price │ 922.430 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Earnings growth │ 7.538 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Current ratio │ 1.375 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Return on assets │ 0.071 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Number of analyst opinions │ 36 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Target mean price │ 965.990 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Debt to equity │ 28.192 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Return on equity │ 0.204 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Target high price │ 1.480 K │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Total cash │ 17.707 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Total debt │ 8.904 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Total revenue │ 53.823 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Total cash per share │ 17.133 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Financial currency │ USD │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Revenue per share │ 54.587 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Quick ratio │ 0.999 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Recommendation mean │ 2.600 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Exchange │ NMS │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Short name │ Tesla, Inc. │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Long name │ Tesla, Inc. │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Exchange timezone name │ America/New_York │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Exchange timezone short name │ EST │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Is esg populated │ False │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Gmt off set milliseconds │ -18 M │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Quote type │ EQUITY │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Symbol │ TSLA │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Message board id │ finmb_27444752 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Market │ us_market │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Enterprise to revenue │ 16.679 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Enterprise to ebitda │ 96.185 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ 52 week change │ 0.156 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Forward EPS │ 12.540 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Shares outstanding │ 1.034 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Book value │ 29.225 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Shares short │ 24.057 M │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Shares percent shares out │ 0.023 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Last fiscal year end │ 1.641 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Held percent institutions │ 0.425 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Net income to common │ 5.524 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Trailing EPS │ 4.901 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Sand p52 week change │ 0.137 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Price to book │ 31.563 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Held percent insiders │ 0.194 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Next fiscal year end │ 1.704 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Most recent quarter │ 1.641 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Short ratio │ 0.770 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Shares short previous month date │ 1.641 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Float shares │ 838.195 M │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Beta │ 2.006 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Enterprise value │ 897.696 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Price hint │ 2 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Last split date │ 2020-08-31 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Last split factor │ 5:1 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Earnings quarterly growth │ 7.596 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Price to sales trailing 12 months │ 17.713 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Date short interest │ 1.644 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ PEG ratio │ 4.140 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Forward PE │ 73.559 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Short percent of float │ 0.028 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Shares short prior month │ 22.472 M │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Implied shares outstanding │ 0 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Previous close │ 875.760 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Regular market open │ 900 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Two hundred day average │ 826.031 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Trailing annual dividend yield │ 0 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Payout ratio │ 0 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Regular market day high │ 923 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Average daily volume 10 day │ 21.790 M │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Regular market previous close │ 875.760 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Fifty day average │ 987.997 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Trailing annual dividend rate │ 0 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Open │ 900 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Average volume 10 days │ 21.790 M │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Regular market day low │ 893.377 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Currency │ USD │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Trailing PE │ 188.213 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Regular market volume │ 19.217 M │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Market cap │ 953.341 B │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Average volume │ 26.044 M │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Day low │ 893.377 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Ask │ 922.940 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Ask size │ 2.200 K │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Volume │ 19.217 M │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Fifty two week high │ 1.243 K │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Fifty two week low │ 539.490 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Bid │ 925 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Tradeable │ False │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Bid size │ 1 K │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Day high │ 923 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Regular market price │ 922.430 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Pre market price │ 917 │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Logo_url │ https://logo.clearbit.com/tesla.com │ ├───────────────────────────────────┼─────────────────────────────────────┤ │ Trailing peg ratio │ 2.587 │ └───────────────────────────────────┴─────────────────────────────────────┘ Business Summary: Tesla, Inc. designs, develops, manufactures, leases, and sells electric vehicles, and energy generation and storage systems in the United States, China, and internationally. The company operates in two segments, Automotive, and Energy Generation and Storage. The Automotive segment offers electric vehicles, as well as sells automotive regulatory credits. It provides sedans and sport utility vehicles through direct and used vehicle sales, a network of Tesla Superchargers, and in-app upgrades; and purchase financing and leasing services. This segment is also involved in the provision of non-warranty after-sales vehicle services, sale of used vehicles, retail merchandise, and vehicle insurance, as well as sale of products to third party customers; services for electric vehicles through its company-owned service locations, and Tesla mobile service technicians; and vehicle limited warranties and extended service plans. The Energy Generation and Storage segment engages in the design, manufacture, installation, sale, and leasing of solar energy generation and energy storage products, and related services to residential, commercial, and industrial customers and utilities through its website, stores, and galleries, as well as through a network of channel partners. This segment also offers service and repairs to its energy product customers, including under warranty; and various financing options to its solar customers. The company was formerly known as Tesla Motors, Inc. and changed its name to Tesla, Inc. in February 2017. Tesla, Inc. was incorporated in 2003 and is headquartered in Austin, Texas. "},{"id":612,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/key/","title":"Key","parent":"Fundamental Analysis","content":"usage: key [-h] [--export {csv,json,xlsx}] Gives main key metrics about the company (it\u0026rsquo;s a subset of the Overview data from Alpha Vantage API). The following fields are expected: Market capitalization, EBITDA, EPS, PE ratio, PEG ratio, Price to book ratio, Return on equity TTM, Payout ratio, Price to sales ratio TTM, Dividend yield, 50 day moving average, Analyst target price, Beta [Source: Alpha Vantage API]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 06:54 (✨) /stocks/fa/ $ key AAPL Key Metrics ┏━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ ┃ ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━┩ │ Market capitalization │ 2.820 T │ ├──────────────────────────┼───────────┤ │ EBITDA │ 128.218 B │ ├──────────────────────────┼───────────┤ │ EPS │ 6.01 │ ├──────────────────────────┼───────────┤ │ PE ratio │ 28.73 │ ├──────────────────────────┼───────────┤ │ PEG ratio │ 3.28 │ ├──────────────────────────┼───────────┤ │ Price to book ratio │ 38.31 │ ├──────────────────────────┼───────────┤ │ Return on equity TTM │ 1.456 │ ├──────────────────────────┼───────────┤ │ Price to sales ratio TTM │ 7.45 │ ├──────────────────────────┼───────────┤ │ Dividend yield │ 0.0052 │ ├──────────────────────────┼───────────┤ │ 50 day moving average │ 172.3 │ ├──────────────────────────┼───────────┤ │ Analyst target price │ 192.52 │ ├──────────────────────────┼───────────┤ │ Beta │ 1.188 │ └──────────────────────────┴───────────┘ "},{"id":613,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/mgmt/","title":"Mgmt","parent":"Fundamental Analysis","content":"usage: mgmt [-h] Show the management team. Namely: Name, Title, Information from Google and Insider Activity. Source: https://businessinsider.com\nThe loaded stock in the screenshot below is, GE.\noptional arguments: -h, --help show this help message (default: False) "},{"id":614,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/mktcap/","title":"Mktcap","parent":"Fundamental Analysis","content":"usage: mktcap [-s START] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Market cap estimate over time. [Source: Yahoo Finance]\noptional arguments: -s START, --start START The starting date (format YYYY-MM-DD) of the ETF (default: 2019-03-03) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":615,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/overview/","title":"Overview","parent":"Fundamental Analysis","content":"usage: overview [-h] [--export {csv,json,xlsx}] Prints an overview about the company. Also, the C i k field corresponds to Central Index Key, which can be used to search a company on https://www.sec.gov/edgar/searchedgar/cik.htm [Source: Alpha Vantage]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:03 (✨) /stocks/fa/ $ overview TSLA Overview ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ ┃ ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ Symbol │ TSLA │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Asset type │ Common Stock │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Name │ Tesla Inc │ ├───────────────────────────────┼───────────────────────────────────────┤ │ C i k │ 1318605 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Exchange │ NASDAQ │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Currency │ USD │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Country │ USA │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Sector │ MANUFACTURING │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Industry │ MOTOR VEHICLES \u0026amp; PASSENGER CAR BODIES │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Address │ 3500 DEER CREEK RD, PALO ALTO, CA, US │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Fiscal year end │ December │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Latest quarter │ 2021-12-31 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Market capitalization │ 953.341 B │ ├───────────────────────────────┼───────────────────────────────────────┤ │ EBITDA │ 9.333 B │ ├───────────────────────────────┼───────────────────────────────────────┤ │ PE ratio │ 188.21 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ PEG ratio │ 2.587 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Book value │ 29.23 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Dividend per share │ 0 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Dividend yield │ 0 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ EPS │ 4.901 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Revenue per share TTM │ 54.59 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Profit margin │ 0.102 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Operating margin TTM │ 0.121 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Return on assets TTM │ 0.0714 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Return on equity TTM │ 0.204 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Revenue TTM │ 53.823 B │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Gross profit TTM │ 13.606 B │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Diluted EPS TTM │ 4.901 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Quarterly earnings growth YOY │ 7.54 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Quarterly revenue growth YOY │ 0.649 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Analyst target price │ 965.99 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Trailing PE │ 188.21 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Forward PE │ 88.5 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Price to sales ratio TTM │ 17.71 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Price to book ratio │ 29.98 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ EV to revenue │ 16.65 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ EV to EBITDA │ 93.12 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Beta │ 2.006 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ 52 week high │ 1243.49 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ 52 week low │ 539.49 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ 50 day moving average │ 989.85 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ 200 day moving average │ 824.84 │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Shares outstanding │ 1.034 B │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Dividend date │ None │ ├───────────────────────────────┼───────────────────────────────────────┤ │ Ex dividend date │ None │ └───────────────────────────────┴───────────────────────────────────────┘ Company Description: Tesla, Inc. is an American electric vehicle and clean energy company based in Palo Alto, California. Tesla's current products include electric cars, battery energy storage from home to grid-scale, solar panels and solar roof tiles, as well as other related products and services. In 2020, Tesla had the highest sales in the plug-in and battery electric passenger car segments, capturing 16% of the plug-in market (which includes plug-in hybrids) and 23% of the battery-electric (purely electric) market. Through its subsidiary Tesla Energy, the company develops and is a major installer of solar photovoltaic energy generation systems in the United States. Tesla Energy is also one of the largest global suppliers of battery energy storage systems, with 3 GWh of battery storage supplied in 2020. "},{"id":616,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/score/","title":"Score","parent":"Fundamental Analysis","content":"usage: score [-h] [--export {csv,json,xlsx}] Value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts. [Source: Financial Modelling Prep]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example (ticker is TSLA):\n2022 Feb 16, 07:05 (✨) /stocks/fa/ $ score Score: 32.22 % "},{"id":617,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/shrs/","title":"Shrs","parent":"Fundamental Analysis","content":"usage: shrs [-h] [--export {csv,json,xlsx}] Print Major, institutional and mutualfunds shareholders. [Source: Yahoo Finance]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example (ticker is TSLA):\n2022 Feb 16, 07:08 (✨) /stocks/fa/ $ shrs Major Holders: Ticker Shareholders ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ 0 ┃ 1 ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ 19.39% │ Percentage of Shares Held by All Insider │ ├────────┼───────────────────────────────────────────┤ │ 42.53% │ Percentage of Shares Held by Institutions │ ├────────┼───────────────────────────────────────────┤ │ 52.76% │ Percentage of Float Held by Institutions │ ├────────┼───────────────────────────────────────────┤ │ 3205 │ Number of Institutions Holding Shares │ └────────┴───────────────────────────────────────────┘ Institutional Holders: Ticker Shareholders ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┓ ┃ Holder ┃ Shares ┃ Date Reported ┃ Stake ┃ Value ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━┩ │ Vanguard Group, Inc. (The) │ 62.449 M │ 2021-12-30 00:00:00 │ 6.22 % │ 65.994 B │ ├───────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Blackrock Inc. │ 52.845 M │ 2021-12-30 00:00:00 │ 5.26 % │ 55.846 B │ ├───────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Capital World Investors │ 36.665 M │ 2021-12-30 00:00:00 │ 3.65 % │ 38.747 B │ ├───────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ State Street Corporation │ 31.230 M │ 2021-09-29 00:00:00 │ 3.11 % │ 24.218 B │ ├───────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Geode Capital Management, LLC │ 13.572 M │ 2021-12-30 00:00:00 │ 1.35 % │ 14.342 B │ ├───────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Baillie Gifford and Company │ 10.798 M │ 2021-12-30 00:00:00 │ 1.08 % │ 11.411 B │ ├───────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Jennison Associates LLC │ 10.627 M │ 2021-12-30 00:00:00 │ 1.06 % │ 11.230 B │ ├───────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ FMR, LLC │ 9.576 M │ 2021-06-29 00:00:00 │ 0.95 % │ 6.509 B │ ├───────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Northern Trust Corporation │ 8.558 M │ 2021-12-30 00:00:00 │ 0.85 % │ 9.044 B │ ├───────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Norges Bank Investment Management │ 7.790 M │ 2020-12-30 00:00:00 │ 0.78 % │ 5.497 B │ └───────────────────────────────────┴──────────┴─────────────────────┴────────┴──────────┘ Mutual Fund Holders: Ticker Shareholders ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┓ ┃ Holder ┃ Shares ┃ Date Reported ┃ Stake ┃ Value ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━┩ │ Vanguard Total Stock Market Index Fund │ 22.648 M │ 2021-09-29 00:00:00 │ 2.26 % │ 17.563 B │ ├────────────────────────────────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Growth Fund Of America Inc │ 20.853 M │ 2021-11-29 00:00:00 │ 2.08 % │ 23.872 B │ ├────────────────────────────────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Vanguard 500 Index Fund │ 17.040 M │ 2021-09-29 00:00:00 │ 1.70 % │ 13.214 B │ ├────────────────────────────────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Invesco ETF Tr-Invesco QQQ Tr, Series 1 ETF │ 11.082 M │ 2021-11-29 00:00:00 │ 1.10 % │ 12.686 B │ ├────────────────────────────────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ New Perspective Fund Inc │ 10.651 M │ 2021-09-29 00:00:00 │ 1.06 % │ 8.260 B │ ├────────────────────────────────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ SPDR S\u0026amp;P 500 ETF Trust │ 8.729 M │ 2021-11-29 00:00:00 │ 0.87 % │ 9.993 B │ ├────────────────────────────────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Fidelity 500 Index Fund │ 7.918 M │ 2021-11-29 00:00:00 │ 0.79 % │ 9.064 B │ ├────────────────────────────────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ iShares Core S\u0026amp;P 500 ETF │ 6.649 M │ 2021-11-29 00:00:00 │ 0.66 % │ 7.612 B │ ├────────────────────────────────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Vanguard Growth Index Fund │ 6.325 M │ 2021-09-29 00:00:00 │ 0.63 % │ 4.905 B │ ├────────────────────────────────────────────────────────────┼──────────┼─────────────────────┼────────┼──────────┤ │ Vanguard Institutional Index Fund-Institutional Index Fund │ 6.226 M │ 2021-09-29 00:00:00 │ 0.62 % │ 4.828 B │ └────────────────────────────────────────────────────────────┴──────────┴─────────────────────┴────────┴──────────┘ "},{"id":618,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/splits/","title":"Splits","parent":"Fundamental Analysis","content":"usage: splits [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Stock splits and reverse split events since IPO [Source: Yahoo Finance]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":619,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/sust/","title":"Sust","parent":"Fundamental Analysis","content":"usage: sust [-h] [--export {csv,json,xlsx}] Print sustainability values of the company. [Source: Yahoo Finance]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 09:01 (✨) /stocks/fa/ $ sust Ticker Sustainability ┏━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩ │ Palm oil │ False │ ├────────────────────────┼─────────────┤ │ Controversial weapons │ False │ ├────────────────────────┼─────────────┤ │ Gambling │ False │ ├────────────────────────┼─────────────┤ │ Social score │ 16.16 │ ├────────────────────────┼─────────────┤ │ Nuclear │ False │ ├────────────────────────┼─────────────┤ │ Fur leather │ False │ ├────────────────────────┼─────────────┤ │ Alcoholic │ False │ ├────────────────────────┼─────────────┤ │ Gmo │ False │ ├────────────────────────┼─────────────┤ │ Catholic │ False │ ├────────────────────────┼─────────────┤ │ Social percentile │ None │ ├────────────────────────┼─────────────┤ │ Peer count │ 37 │ ├────────────────────────┼─────────────┤ │ Governance score │ 9.61 │ ├────────────────────────┼─────────────┤ │ Environment percentile │ None │ ├────────────────────────┼─────────────┤ │ Animal testing │ False │ ├────────────────────────┼─────────────┤ │ Tobacco │ False │ ├────────────────────────┼─────────────┤ │ Total esg │ 28.54 │ ├────────────────────────┼─────────────┤ │ Highest controversy │ 3 │ ├────────────────────────┼─────────────┤ │ Esg performance │ AVG_PERF │ ├────────────────────────┼─────────────┤ │ Coal │ False │ ├────────────────────────┼─────────────┤ │ Pesticides │ False │ ├────────────────────────┼─────────────┤ │ Adult │ False │ ├────────────────────────┼─────────────┤ │ Percentile │ 55.73 │ ├────────────────────────┼─────────────┤ │ Peer group │ Automobiles │ ├────────────────────────┼─────────────┤ │ Small arms │ False │ ├────────────────────────┼─────────────┤ │ Environment score │ 2.78 │ ├────────────────────────┼─────────────┤ │ Governance percentile │ None │ ├────────────────────────┼─────────────┤ │ Military contract │ False │ └────────────────────────┴─────────────┘ "},{"id":620,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/warnings/","title":"Warnings","parent":"Fundamental Analysis","content":"usage: warnings [-d] [-h] [--export {csv,json,xlsx}] Sean Seah warnings. Check: Consistent historical earnings per share; Consistently high return on equity; Consistently high return on assets; 5x Net Income \u0026gt; Long-Term Debt; and Interest coverage ratio more than 3. See https://www.drwealth.com/gone-fishing-with- buffett-by-sean-seah/comment-page-1/ [Source: Market Watch]\noptional arguments: -d, --debug print insights into warnings calculation. -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Example:\n2022 Feb 16, 07:14 (✨) /stocks/fa/ $ warnings Sean Seah Warnings ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ ┃ ┃ 2017 ┃ 2018 ┃ 2019 ┃ 2020 ┃ 2021 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ │ EPS (Basic) │ 6.32 │ 20.68 │ 23.46 │ 42.66 │ 65.94 │ ├────────────────────────────────────┼───────────────┼───────────────┼───────────────┼───────────────┼───────────────┤ │ Net Income │ 3030000000 │ 10070000000 │ 11590000000 │ 21330000000 │ 33360000000 │ ├────────────────────────────────────┼───────────────┼───────────────┼───────────────┼───────────────┼───────────────┤ │ Interest Expense │ 848000000 │ 1420000000 │ 1600000000 │ 1650000000 │ 1810000000 │ ├────────────────────────────────────┼───────────────┼───────────────┼───────────────┼───────────────┼───────────────┤ │ EBITDA │ 13520000000 │ 25330000000 │ 30460000000 │ 39570000000 │ 48360000000 │ ├────────────────────────────────────┼───────────────┼───────────────┼───────────────┼───────────────┼───────────────┤ │ Total Shareholders' Equity │ 27710000000 │ 43550000000 │ 62060000000 │ 93400000000 │ 138250000000 │ ├────────────────────────────────────┼───────────────┼───────────────┼───────────────┼───────────────┼───────────────┤ │ Liabilities \u0026amp; Shareholders' Equity │ 131310000000 │ 162650000000 │ 225250000000 │ 321200000000 │ 420550000000 │ ├────────────────────────────────────┼───────────────┼───────────────┼───────────────┼───────────────┼───────────────┤ │ Long-Term Debt │ 37930000000 │ 39790000000 │ 63210000000 │ 84390000000 │ 116400000000 │ ├────────────────────────────────────┼───────────────┼───────────────┼───────────────┼───────────────┼───────────────┤ │ ROE │ 0.11 │ 0.23 │ 0.19 │ 0.23 │ 0.24 │ ├────────────────────────────────────┼───────────────┼───────────────┼───────────────┼───────────────┼───────────────┤ │ Interest Coverage Ratio │ 15.94 │ 17.84 │ 19.04 │ 23.98 │ 26.72 │ ├────────────────────────────────────┼───────────────┼───────────────┼───────────────┼───────────────┼───────────────┤ │ ROA │ 0.02 │ 0.06 │ 0.05 │ 0.07 │ 0.08 │ └────────────────────────────────────┴───────────────┴───────────────┴───────────────┴───────────────┴───────────────┘ Warnings: NOT consistently high return on equity NOT consistently high return on assets 5x Net Income \u0026lt; Long-Term Debt "},{"id":621,"href":"/OpenBBTerminal/terminal/stocks/fundamental_analysis/web/","title":"Web","parent":"Fundamental Analysis","content":"usage: web [-h] Opens the company\u0026rsquo;s website in your browser.\noptional arguments: -h, --help show this help message (default: False) "},{"id":622,"href":"/OpenBBTerminal/terminal/stocks/government/","title":"Government","parent":"Introduction to Stocks","content":"A government is the system or collection of individuals in charge of governing a formally constituted community, such as a state. In its broadest sense, government is made up of three parts: legislature, executive branch, and judiciary. Government is both a tool of enforcing organizational policies and a system for defining policy. Many governments have a constitution, which is a statement of the government\u0026rsquo;s guiding ideas and ideology.\nWithin this menu, the actions regarding lobbying, governmental contracts as well as governmental transactions are depicted.\nAvailable commands: Contracts Gtrades Histcont Lastcontracts Lasttrades Lobbying Qtrcontracts Topbuys Toplobbying Topsells "},{"id":623,"href":"/OpenBBTerminal/terminal/stocks/government/contracts/","title":"Contracts","parent":"Government","content":"usage: contracts [-p PAST_TRANSACTION_DAYS] [--raw] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Contracts associated with the loaded ticker. [Source: www.quiverquant.com]\noptional arguments: -p PAST_TRANSACTION_DAYS, --past_transaction_days PAST_TRANSACTION_DAYS Past transaction days (default: 10) --raw Print raw data. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":624,"href":"/OpenBBTerminal/terminal/stocks/government/gtrades/","title":"Gtrades","parent":"Government","content":"usage: gtrades [-p PAST_TRANSACTIONS_MONTHS] [-g {congress,senate,house}] [--raw] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] US Representatives trading in the loaded ticker. [Source: www.quiverquant.com]\noptional arguments: -p PAST_TRANSACTIONS_MONTHS, --past_transactions_months PAST_TRANSACTIONS_MONTHS Past transaction months (default: 6) -g {congress,senate,house}, --govtype {congress,senate,house} --raw Print raw data. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: "},{"id":625,"href":"/OpenBBTerminal/terminal/stocks/government/histcont/","title":"Histcont","parent":"Government","content":"usage: histcont [--raw] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Shows the value of quarterly-contracts granted by the US governement. [Source: www.quiverquant.com]\noptional arguments: --raw Print raw data. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":626,"href":"/OpenBBTerminal/terminal/stocks/government/lastcontracts/","title":"Lastcontracts","parent":"Government","content":"usage: lastcontracts [-p PAST_TRANSACTION_DAYS] [-l LIMIT] [-s] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Details US government spending. [Source: www.quiverquant.com]\noptional arguments: -p PAST_TRANSACTION_DAYS, --past_transaction_days PAST_TRANSACTION_DAYS Past transaction days (default: 2) -l LIMIT, --limit LIMIT Limit of contracts to display (default: 20) -s, --sum Flag to show total amount of contracts. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 16, 07:22 (✨) /stocks/gov/ $ lastcontracts Last Government Contracts ┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ Date ┃ Ticker ┃ Amount ┃ Description ┃ Agency ┃ ┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ 2022-02-12 00:00:00 │ EW │ 32500.00 │ HEART VALVE │ DEPARTMENT OF VETERANS AFFAIRS (VA) │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ HNGR │ 0.00 │ PROSTHETIC LIMB │ DEPARTMENT OF VETERANS AFFAIRS (VA) │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ WBA │ 11425.69 │ JYNARQUE │ DEPARTMENT OF VETERANS AFFAIRS (VA) │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ VSTO │ 14563.20 │ AMMUNITION FOR TRAINING FOR SIU CLASSES │ DEPARTMENT OF JUSTICE (DOJ) │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ VSTO │ 680239.08 │ 556M RH JACKETED FRANGIBLE AMMUNITION PN Z556AA40 │ DEPARTMENT OF HOMELAND SECURITY (DHS) │ │ │ │ │ (DOD VERSION OF PN BC556X1) │ │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ VSTO │ 1070.18 │ AMMUNITION ORDER - D45 W/MO │ DEPARTMENT OF JUSTICE (DOJ) │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ VAR │ 712143.00 │ PREVENTATIVE MAINTENANCE AND REPAIRS OF VARIAN │ DEPARTMENT OF VETERANS AFFAIRS (VA) │ │ │ │ │ LINEAR ACCELERATORS LOCATED AT THE LTC CHARLES S. │ │ │ │ │ │ KETTLES VAMC │ │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ VAR │ 298800.00 │ DATA HOSTING FOR VARIAN LINAC SOFTWARE │ DEPARTMENT OF VETERANS AFFAIRS (VA) │ │ │ │ │ (ECLIPSE/ARIA) │ │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ UPS │ 4500.00 │ EXPRESS MAIL AND COURIER SERVICES FOR THE COEUR │ DEPARTMENT OF AGRICULTURE (USDA) │ │ │ │ │ D'ALENE NURSERY, ID │ │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ TTEK │ 215214.00 │ SUPERFUND TECHNICAL ASSESSMENT \u0026amp; RESPONSE TEAM 5 │ ENVIRONMENTAL PROTECTION AGENCY (EPA) │ │ │ │ │ (START V) CONTRACT FOR EPA REGION 7 - SITE/PROJECT │ │ │ │ │ │ NAME: NEBRASKA SITE ASSESSMENTS. │ │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ TTEK │ 65468.54 │ SUPERFUND TECHNICAL ASSESSMENT \u0026amp; RESPONSE TEAM 5 │ ENVIRONMENTAL PROTECTION AGENCY (EPA) │ │ │ │ │ (START V) CONTRACT FOR EPA REGION 7 - SITE/PROJECT │ │ │ │ │ │ NAME: FABALL ABANDONED CONTAINER. │ │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ TTEK │ 60769.52 │ SUPERFUND TECHNICAL ASSESSMENT \u0026amp; RESPONSE TEAM 5 │ ENVIRONMENTAL PROTECTION AGENCY (EPA) │ │ │ │ │ (START V) CONTRACT FOR EPA REGION 7 - SITE/PROJECT │ │ │ │ │ │ NAME: 10TH STREET SITE ASSESSMENT IN COLUMBUS, NE. │ │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ TTEK │ 231856.02 │ SUPERFUND TECHNICAL ASSESSMENT \u0026amp; RESPONSE TEAM 5 │ ENVIRONMENTAL PROTECTION AGENCY (EPA) │ │ │ │ │ (START V) CONTRACT FOR EPA REGION 7 - SITE/PROJECT │ │ │ │ │ │ NAME: IOWA SITE ASSESSMENTS. │ │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ T │ 9817.28 │ TELECOMMUNICATION SERVICES (JANUARY) │ DEPARTMENT OF JUSTICE (DOJ) │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ T │ 187.49 │ LOCAL LONG DISTANCE PHONE SERVICE - 2ND QUARTER FY │ DEPARTMENT OF JUSTICE (DOJ) │ │ │ │ │ 2022 │ │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ SYY │ 88158.78 │ BASE FOOD ORDER TO REPLENISH THE WAREHOUSE. │ DEPARTMENT OF JUSTICE (DOJ) │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ SYK │ 12938.43 │ HIP REPLACEMENT │ DEPARTMENT OF VETERANS AFFAIRS (VA) │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ SYK │ 43282.32 │ STRYKER NEPTUNE SERVICES │ DEPARTMENT OF VETERANS AFFAIRS (VA) │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ SO │ 4697.51 │ TO PROVIDE NON-PERSONAL SERVICE TO REPAIR FDC AT │ GENERAL SERVICES ADMINISTRATION (GSA) │ │ │ │ │ THE CUSTOM HOUSE (GSA BLDG. NO. TX0101ZZ), LOCATED │ │ │ │ │ │ AT 701 SAN JACINTO STREET, HOUSTON, TX 77002-3673. │ │ ├─────────────────────┼────────┼───────────┼────────────────────────────────────────────────────┼───────────────────────────────────────┤ │ 2022-02-11 00:00:00 │ NOC │ 416297.80 │ THE PURPOSE OF THIS CALL ORDER IS FOR THE │ SOCIAL SECURITY ADMINISTRATION (SSA) │ │ │ │ │ CONTRACTOR TO PROVIDE DATA COLLECTION \u0026amp; ANALYTICS │ │ │ │ │ │ (M-21-31 ENTERPRISE LOGGING ONBOARDING SUPPORT) │ │ │ │ │ │ SERVICES. │ │ └─────────────────────┴────────┴───────────┴────────────────────────────────────────────────────┴───────────────────────────────────────┘ "},{"id":627,"href":"/OpenBBTerminal/terminal/stocks/government/lasttrades/","title":"Lasttrades","parent":"Government","content":"usage: lasttrades [-g {congress,senate,house}] [-p PAST_TRANSACTIONS_DAYS] [-r REPRESENTATIVE] [-h] [--export {csv,json,xlsx}] Latest government representative trading, searchable by representative. [Source: www.quiverquant.com]\noptional arguments: -g {congress,senate,house}, --govtype {congress,senate,house} -p PAST_TRANSACTIONS_DAYS, --past_transactions_days PAST_TRANSACTIONS_DAYS Past transaction days (default: 5) -r REPRESENTATIVE, --representative REPRESENTATIVE Representative (default: ) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:24 (✨) /stocks/gov/ $ lasttrades Last transactions for CONGRESS Representative Trading ┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ Transaction Date ┃ Ticker ┃ Representative ┃ Transaction ┃ Range ┃ House ┃ Report Date ┃ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━┩ │ 2022-02-09 │ AM │ Mark Dr Green │ Sale │ $1,000,001-$5,000,000 │ Representatives │ 2022-02-14 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-02-09 │ QQQ │ Pete Sessions │ Purchase │ $1,001-$15,000 │ Representatives │ 2022-02-11 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-02-09 │ ET │ Mark Dr Green │ Purchase │ $500,001 │ Representatives │ 2022-02-14 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-02-09 │ ENLC │ Mark Dr Green │ Purchase │ $500,001 │ Representatives │ 2022-02-14 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-02-07 │ ET │ Mark Dr Green │ Purchase │ $250,001-$1,000,000 │ Representatives │ 2022-02-14 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-02-07 │ AM │ Mark Dr Green │ Purchase │ $100,001-250,000 │ Representatives │ 2022-02-14 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-02-04 │ BNS │ Pete Sessions │ Purchase │ $1,001-$15,000 │ Representatives │ 2022-02-11 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-02-02 │ GOOGL │ Bob Gibbs │ Purchase │ $15,001-$50,000 │ Representatives │ 2022-02-06 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ FSP │ Virginia Foxx │ Sale │ $50,001-$100,000 │ Representatives │ 2022-02-04 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ FIMKX │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ CEF │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ PTMC │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ MOO │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ ITA │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ JHMM │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ GNR │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ WIW │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ XAR │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ SI │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ LUBFX │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ GEMIX │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ D │ Pete Sessions │ Sale │ $1,001-$15,000 │ Representatives │ 2022-02-11 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ CYRX │ Donald Sternoff Beyer Jr. │ Sale │ $1,001-$15,000 │ Representatives │ 2022-02-01 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ TRNO │ Donald Sternoff Beyer Jr. │ Purchase │ $1,001-$15,000 │ Representatives │ 2022-02-01 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ PEP │ Donald Sternoff Beyer Jr. │ Purchase │ $1,001-$15,000 │ Representatives │ 2022-02-01 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ COST │ Donald Sternoff Beyer Jr. │ Purchase │ $1,001-$15,000 │ Representatives │ 2022-02-01 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ JPM │ Kevin Hern │ Purchase │ $1,001-$15,000 │ Representatives │ 2022-02-02 │ ├──────────────────┼────────┼───────────────────────────┼─────────────┼───────────────────────┼─────────────────┼─────────────┤ │ 2022-01-31 │ NVDA │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ └──────────────────┴────────┴───────────────────────────┴─────────────┴───────────────────────┴─────────────────┴─────────────┘ 2022 Feb 16, 07:25 (✨) /stocks/gov/ $ lasttrades -r Thomas R. Carper Last transactions for CONGRESS Representative Trading ┏━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ Transaction Date ┃ Ticker ┃ Representative ┃ Transaction ┃ Range ┃ House ┃ Report Date ┃ ┡━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━┩ │ 2022-01-31 │ FIMKX │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ CEF │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ PTMC │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ MOO │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ ITA │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ JHMM │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ GNR │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ WIW │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ XAR │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ SI │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ LUBFX │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ GEMIX │ Thomas R. Carper │ Sale │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ ├──────────────────┼────────┼──────────────────┼─────────────┼──────────────────┼────────┼─────────────┤ │ 2022-01-31 │ NVDA │ Thomas R. Carper │ Purchase │ $1,001 - $15,000 │ Senate │ 2022-02-03 │ └──────────────────┴────────┴──────────────────┴─────────────┴──────────────────┴────────┴─────────────┘ "},{"id":628,"href":"/OpenBBTerminal/terminal/stocks/government/lobbying/","title":"Lobbying","parent":"Government","content":"usage: lobbying [-l LIMIT] [-h] Lobbying details for the loaded company. [Source: www.quiverquant.com]\noptional arguments: -l LIMIT, --limit LIMIT Limit of events to show (default: 10) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 07:27 (✨) /stocks/gov/ $ lobbying 2021-01-21: TESLA INC N/A 2020-10-20: TESLA INC N/A 2020-10-20: TESLA INC N/A 2020-07-20: TESLA INC $70000 Discussions regarding Sec. 30D electric vehicle tax credit (S.1094/H.R.2256, the Driving America Forward Act) Sec. 30C alternative fuel infrastructure tax credit(S.3735, Securing America's Clean Fuel Infrastructure Act) Sec. 48 and 25D solar investment tax credit Storage tax credit (S.1142/H.R.2096,Energy Storage Tax Incentive and Deployment Act) 2020-07-19: TESLA INC N/A 2020-04-20: TESLA INC $140000 H.R.748/S.3548, Coronavirus Aid, Relief, and Economic Security Act 2020-04-20: TESLA INC $30000 Issues related to the 30D EV tax credit, including the Driving America Forward Act, S. 1094 and H.R. 2256. 2020-01-21: TESLA INC $150000 Discussions regarding Sec. 30D electric vehicle tax credit (S.1094/H.R.2256, the Driving America Forward Act) Sec. 30C alternative tax credit (H.R.3301, the Taxpayer Certainty and Disaster Tax Relief Act) Sec. 48 and 25D solar investment tax credits (H.R.3961/S.2289, Renewable Energy Extension Act) Storage tax credit (S.1142/H.R.2096,Energy Storage Tax Incentive and Deployment Act) H.R.1865, Further Consolidated Appropriations Act, 2020 2020-01-17: TESLA INC $30000 Issues related to the 30D EV tax credit, including the Driving America Forward Act, S. 1094 and H.R. 2256. 2019-10-21: TESLA INC $150000 Discussions regarding electric vehicle manufacturing and sales policies,charging infrastructure and regulation (S.2302, America's Transportation and Infrastruction Act;H.R.2616/S.674, Clean Corridors Act) Issues impacting autonomous vehicles "},{"id":629,"href":"/OpenBBTerminal/terminal/stocks/government/qtrcontracts/","title":"Qtrcontracts","parent":"Government","content":"usage: qtrcontracts [-l LIMIT] [-a {total,upmom,downmom}] [--raw] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Total value of contracts awarded to individual companies. [Source: www.quiverquant.com]\noptional arguments: -l LIMIT, --limit LIMIT Limit of tickers to get (default: 5) -a {total,upmom,downmom}, --analysis {total,upmom,downmom} Analysis to look at contracts. 'Total' shows summed contracts. 'Upmom' shows highest sloped contacts while 'downmom' shows highest decreasing slopes. (default: total) --raw Print raw data. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 16, 07:33 (✨) /stocks/gov/ $ qtrcontracts -l 20 Quarterly Contracts ┏━━━━━━┳━━━━━━━━━━━━━━━━━┓ ┃ ┃ Total ┃ ┡━━━━━━╇━━━━━━━━━━━━━━━━━┩ │ NYRT │ 189265686585.09 │ ├──────┼─────────────────┤ │ LMT │ 70707036450.10 │ ├──────┼─────────────────┤ │ BA │ 36291094000.97 │ ├──────┼─────────────────┤ │ RTX │ 30810798491.64 │ ├──────┼─────────────────┤ │ NOC │ 18155712025.66 │ ├──────┼─────────────────┤ │ MCK │ 15593287674.59 │ ├──────┼─────────────────┤ │ AAL │ 12873580340.33 │ ├──────┼─────────────────┤ │ DAL │ 12053655150.25 │ ├──────┼─────────────────┤ │ GD │ 11113338870.17 │ ├──────┼─────────────────┤ │ UAL │ 10937247542.42 │ ├──────┼─────────────────┤ │ HUM │ 10433454331.45 │ ├──────┼─────────────────┤ │ FLR │ 7630289754.85 │ ├──────┼─────────────────┤ │ SO │ 7451534354.06 │ ├──────┼─────────────────┤ │ LUV │ 7218696161.20 │ ├──────┼─────────────────┤ │ MRNA │ 6233021716.31 │ ├──────┼─────────────────┤ │ PFE │ 5717928167.45 │ ├──────┼─────────────────┤ │ SSB │ 5122966968.19 │ ├──────┼─────────────────┤ │ GE │ 4973975130.38 │ ├──────┼─────────────────┤ │ EXPR │ 4617652107.41 │ ├──────┼─────────────────┤ │ PW │ 4466721029.89 │ └──────┴─────────────────┘ "},{"id":630,"href":"/OpenBBTerminal/terminal/stocks/government/topbuys/","title":"Topbuys","parent":"Government","content":"usage: topbuys [-g {congress,senate,house}] [-p PAST_TRANSACTIONS_MONTHS] [-l LIMIT] [--raw] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Top stock buys amongst US representatives. Source: https://www.quiverquant.com\noptional arguments: -g {congress,senate,house}, --govtype {congress,senate,house} -p PAST_TRANSACTIONS_MONTHS, --past_transactions_months PAST_TRANSACTIONS_MONTHS Past transaction months (default: 6) -l LIMIT, --limit LIMIT Limit of top tickers to display (default: 10) --raw Print raw data. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":631,"href":"/OpenBBTerminal/terminal/stocks/government/toplobbying/","title":"Toplobbying","parent":"Government","content":"usage: toplobbying [-l LIMIT] [--raw] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Shows companies responsible for the most amount of US governement lobbying. [Source: www.quiverquant.com]\noptional arguments: -l LIMIT, --limit LIMIT Limit of stocks to display (default: 10) --raw Print raw data. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":632,"href":"/OpenBBTerminal/terminal/stocks/government/topsells/","title":"Topsells","parent":"Government","content":"usage: topsells [-g {congress,senate,house}] [-p PAST_TRANSACTIONS_MONTHS] [-l LIMIT] [--raw] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Companies experiencing the most stock sales by US governement representatives. [Source: www.quiverquant.com]\noptional arguments: -g {congress,senate,house}, --govtype {congress,senate,house} -p PAST_TRANSACTIONS_MONTHS, --past_transactions_months PAST_TRANSACTIONS_MONTHS Past transaction months (default: 6) -l LIMIT, --limit LIMIT Limit of top tickers to display (default: 10) --raw Print raw data. (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":633,"href":"/OpenBBTerminal/terminal/stocks/insider/","title":"Insider","parent":"Introduction to Stocks","content":"Insider trading is when someone with non-public, substantial information about a public company\u0026rsquo;s shares trades in that stock for whatever purpose. Depending on when the insider makes the trade, insider trading can be either unlawful or legal.\nWhen material knowledge is still classified as confidential, insider trading is prohibited, and this type of insider trading carries severe penalties.\nAvailable commands: Act Blcp Blcs Blip Blis Blop Blos Filter Lcb Lins Lip Lis Lit Load Lpsb Set Tippm Tippw Tipt Tispm Tispw Tist Toppm Toppw Topt View "},{"id":634,"href":"/OpenBBTerminal/terminal/stocks/insider/act/","title":"Act","parent":"Insider","content":"usage: act [-l LIMIT] [--raw] [-h] [--export {csv,json,xlsx}] Prints executive, or director, dispositions or acquisitions over time using information collected by: Business Insider\noptional arguments: -l LIMIT, --limit LIMIT Limit of latest insider activity. --raw Print raw data. -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx "},{"id":635,"href":"/OpenBBTerminal/terminal/stocks/insider/blcp/","title":"Blcp","parent":"Insider","content":"usage: blcp [-l LIMIT] [-h] [--export {csv,json,xlsx}] Search a SEC Form 4 database for the latest excutive and director dispositions or acquisitions and the corporations they are associated with. Sourece: http://openinsider.com\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:45 (✨) /stocks/ins/ $ blcp Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ D │ 2022-02-14 │ 2020-07-31 │ VERX │ Vertex, Inc. │ Schwab John R │ CFO │ P - Purchase │ $19.00 │ +2,894 │ 5,579 │ +108% │ +$54,986 │ │ │ 14:11:46 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-14 │ 2022-02-11 │ FLXS │ Flexsteel Industries │ Schmidt Derek P │ CFO, COO │ P - Purchase │ $22.38 │ +17,111 │ 174,275 │ +11% │ +$382,859 │ │ │ 13:09:00 │ │ │ Inc │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-14 │ 2022-02-14 │ SKYX │ Sql Technologies │ Campi John P. │ CEO │ P - Purchase │ $14.00 │ +14,285 │ 1,184,285 │ +1% │ +$199,990 │ │ │ 12:56:34 │ │ │ Corp. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-11 │ 2022-02-09 │ AIRT │ Air T Inc │ Swenson Nicholas │ CEO, 10% │ P - Purchase │ $27.32 │ +2,625 │ 1,347,599 │ 0% │ +$71,724 │ │ │ 19:37:55 │ │ │ │ John │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-11 │ 2022-02-09 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $63.20 │ +1,250,000 │ 21,986,722 │ +6% │ +$79,005,992 │ │ │ 18:50:54 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-11 │ 2022-02-09 │ LOB │ Live Oak Bancshares, │ Losch William C III │ CFO │ P - Purchase │ $63.74 │ +6,250 │ 9,750 │ +179% │ +$398,382 │ │ │ 18:26:14 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-11 │ 2022-02-09 │ EMMA │ Emmaus Life │ Niihara Yutaka │ COB, CEO, │ P - Purchase │ $1.46 │ +30,500 │ 11,350,200 │ 0% │ +$44,385 │ │ │ 17:00:36 │ │ │ Sciences, Inc. │ │ 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-09 │ 2022-02-08 │ MYPS │ Playstudios, Inc. │ Pascal Andrew S │ COB, CEO, │ P - Purchase │ $4.77 │ +25,700 │ 16,242,900 │ 0% │ +$122,602 │ │ │ 19:36:53 │ │ │ │ │ 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-09 │ 2022-02-07 │ CSII │ Cardiovascular │ Ward Scott R. │ COB, CEO │ P - Purchase │ $18.52 │ +2,500 │ 577,713 │ 0% │ +$46,293 │ │ │ 16:15:36 │ │ │ Systems Inc │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-08 │ 2022-02-04 │ AIRT │ Air T Inc │ Swenson Nicholas │ CEO, 10% │ P - Purchase │ $24.74 │ +2,470 │ 1,344,974 │ 0% │ +$61,104 │ │ │ 18:39:00 │ │ │ │ John │ │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴──────────────────────┴─────────────────────┴────────────┴──────────────┴────────┴────────────┴────────────┴──────────┴──────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":636,"href":"/OpenBBTerminal/terminal/stocks/insider/blcs/","title":"Blcs","parent":"Insider","content":"usage: blcs [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print big latest CEO/CFO sales ($100k+) Source: http://openinsider.com\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:47 (✨) /stocks/ins/ $ blcs Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━┩ │ D │ 2022-02-15 │ 2022-02-15 │ EW │ Edwards Lifesciences │ Mussallem Michael A │ COB, CEO │ S - Sale+OE │ $110.09 │ -32,550 │ 3,820,007 │ -1% │ -$3,583,289 │ │ │ 20:50:39 │ │ │ Corp │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼────────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ AGCO │ Agco Corp /de │ Beck Andrew H │ SVP, CFO │ S - Sale+OE │ $131.83 │ -25,000 │ 107,337 │ -19% │ -$3,295,750 │ │ │ 20:38:48 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼────────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ AON │ Aon Plc │ Davies Christa │ CFO │ S - Sale+OE │ $283.72 │ -616 │ 200,237 │ 0% │ -$174,772 │ │ │ 19:36:49 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼────────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ AMP │ Ameriprise Financial │ Truscott William F │ CEO, │ S - Sale+OE │ $305.09 │ -16,000 │ 28,647 │ -36% │ -$4,881,468 │ │ │ 18:09:39 │ │ │ Inc │ │ Global │ │ │ │ │ │ │ │ │ │ │ │ │ │ Asset │ │ │ │ │ │ │ │ │ │ │ │ │ │ Management │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼────────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ HUBB │ Hubbell Inc │ Bakker Gerben │ COB, Pres, │ S - Sale+OE │ $186.37 │ -1,148 │ 38,132 │ -3% │ -$213,948 │ │ │ 17:56:10 │ │ │ │ │ CEO │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼────────────┼──────────┼─────────────┤ │ DM │ 2022-02-15 │ 2022-02-11 │ EXPI │ Exp World Holdings, │ Sanford Glenn Darrel │ CEO, COB, │ S - Sale+OE │ $29.27 │ -18,000 │ 42,034,338 │ 0% │ -$526,920 │ │ │ 17:07:11 │ │ │ Inc. │ │ 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼────────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ CRM │ Salesforce.Com, Inc. │ Benioff Marc │ COB, co- │ S - Sale+OE │ $207.46 │ -2,300 │ 28,918,241 │ 0% │ -$477,162 │ │ │ 16:39:51 │ │ │ │ │ CEO │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼────────────┼──────────┼─────────────┤ │ M │ 2022-02-15 │ 2021-10-15 │ XBIT │ Xbiotech Inc. │ Simard John │ CEO, 10% │ S - Sale │ $13.15 │ -50,000 │ 3,823,166 │ -1% │ -$657,725 │ │ │ 16:05:31 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼────────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ LSCC │ Lattice │ Anderson James │ Pres, CEO │ S - Sale+OE │ $55.56 │ -2,142 │ 603,008 │ 0% │ -$119,010 │ │ │ 15:19:30 │ │ │ Semiconductor Corp │ Robert │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼────────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ RBCAA │ Republic Bancorp Inc │ Trager Steve │ COB, CEO, │ S - Sale+OE │ $48.41 │ -77,366 │ 4,073,652 │ -2% │ -$3,745,293 │ │ │ 11:40:03 │ │ │ /ky/ │ │ 10% │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴──────────────────────┴──────────────────────┴────────────┴─────────────┴─────────┴─────────┴────────────┴──────────┴─────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":637,"href":"/OpenBBTerminal/terminal/stocks/insider/blip/","title":"Blip","parent":"Insider","content":"usage: blip [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print latest insider purchases ($25k+) Source: http://openinsider.com\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:47 (✨) /stocks/ins/ $ blip Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ M │ 2022-02-16 │ 2022-02-09 │ ZIVO │ Zivo Bioscience, │ Maggiore Christopher │ Dir, 10% │ P - Purchase │ $3.72 │ +91,334 │ 803,105 │ +13% │ +$340,098 │ │ │ 06:02:09 │ │ │ Inc. │ D. │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ RSVR │ Reservoir Media, │ Richmond Hill │ May be │ P - Purchase │ $6.75 │ +136,364 │ 136,364 │ New │ +$920,717 │ │ │ 21:57:01 │ │ │ Inc. │ Investments, LLC │ deemed a │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% owner │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ RSVR │ Reservoir Media, │ Richmond Hill │ May be │ P - Purchase │ $6.75 │ +58,441 │ 58,441 │ New │ +$394,588 │ │ │ 21:56:17 │ │ │ Inc. │ Capital Partners, LP │ deemed a │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% owner │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ KNTE │ Kinnate Biopharma │ Gordon Carl L │ Dir │ P - Purchase │ $10.17 │ +195,700 │ 4,043,629 │ +5% │ +$1,989,446 │ │ │ 21:51:12 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ KNTE │ Kinnate Biopharma │ Orbimed Advisors LLC │ Dir │ P - Purchase │ $10.17 │ +195,700 │ 4,043,629 │ +5% │ +$1,989,446 │ │ │ 21:42:44 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-15 │ 2022-02-14 │ RSVR │ Reservoir Media, │ Cook Stephen M. │ Dir │ P - Purchase │ $7.29 │ +41,510 │ 1,057,171 │ +4% │ +$302,565 │ │ │ 21:32:18 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-15 │ 2022-02-11 │ AREN │ Arena Group │ B. Riley Financial, │ 10% │ P - Purchase │ $8.26 │ +1,977,982 │ 5,411,514 │ +58% │ +$16,329,921 │ │ │ 21:30:53 │ │ │ Holdings, Inc. │ Inc. │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-14 │ TWOU │ 2U, Inc. │ Chernis Mark │ COO │ P - Purchase │ $9.29 │ +43,482 │ 349,939 │ +14% │ +$403,886 │ │ │ 20:47:47 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ CRCT │ Cricut, Inc. │ Abdiel Capital │ 10% │ P - Purchase │ $19.80 │ +148,069 │ 24,650,327 │ +1% │ +$2,931,718 │ │ │ 19:55:23 │ │ │ │ Management, LLC │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ RSVR │ Reservoir Media, │ Taylor Ryan P. │ See │ P - Purchase │ $6.75 │ +194,805 │ 13,787,598 │ +1% │ +$1,315,305 │ │ │ 18:28:36 │ │ │ Inc. │ │ Remarks │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴───────────────────┴──────────────────────┴───────────┴──────────────┴────────┴────────────┴────────────┴──────────┴──────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":638,"href":"/OpenBBTerminal/terminal/stocks/insider/blis/","title":"Blis","parent":"Insider","content":"usage: blis [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print latest insider sales 100k. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:48 (✨) /stocks/ins/ $ blis Insider Data ┏━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━┩ │ D │ 2022-02-15 │ 2022-02-15 │ EW │ Edwards Lifesciences │ Mussallem Michael A │ COB, CEO │ S - Sale+OE │ $110.09 │ -32,550 │ 3,820,007 │ -1% │ -$3,583,289 │ │ │ 20:50:39 │ │ │ Corp │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ AGCO │ Agco Corp /de │ Beck Andrew H │ SVP, CFO │ S - Sale+OE │ $131.83 │ -25,000 │ 107,337 │ -19% │ -$3,295,750 │ │ │ 20:38:48 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ PUBM │ Pubmatic, Inc. │ Goel Amar K. │ Chief │ S - Sale+OE │ $29.85 │ -24,000 │ 0 │ -100% │ -$716,444 │ │ │ 20:24:51 │ │ │ │ │ Innovation │ │ │ │ │ │ │ │ │ │ │ │ │ │ Officer, │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ NET │ Cloudflare, Inc. │ Meresman Stanley J │ Dir │ S - Sale+OE │ $106.00 │ -18,622 │ 2,441 │ -88% │ -$1,973,993 │ │ │ 19:57:51 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ AON │ Aon Plc │ Davies Christa │ CFO │ S - Sale+OE │ $283.72 │ -616 │ 200,237 │ 0% │ -$174,772 │ │ │ 19:36:49 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ NOW │ Servicenow, Inc. │ Desai Chirantan │ COO │ S - Sale+OE │ $578.48 │ -3,000 │ 50,376 │ -6% │ -$1,735,431 │ │ │ 19:05:07 │ │ │ │ Jitendra │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ IBKR │ Interactive Brokers │ Peterffy Thomas │ COB │ S - Sale │ $73.61 │ -33,000 │ 3,874,511 │ -1% │ -$2,429,184 │ │ │ 18:59:49 │ │ │ Group, Inc. │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ AMP │ Ameriprise Financial │ Sweeney Joseph │ Pres-AWM │ S - Sale+OE │ $315.45 │ -12,981 │ 10,423 │ -55% │ -$4,094,838 │ │ │ 18:10:56 │ │ │ Inc │ Edward │ Products, │ │ │ │ │ │ │ │ │ │ │ │ │ │ Services │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ AMP │ Ameriprise Financial │ Thissen Karen Wilson │ EVP, GC │ S - Sale+OE │ $313.88 │ -6,444 │ 10,472 │ -38% │ -$2,022,661 │ │ │ 18:10:40 │ │ │ Inc │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ AMP │ Ameriprise Financial │ Truscott William F │ CEO, │ S - Sale+OE │ $305.09 │ -16,000 │ 28,647 │ -36% │ -$4,881,468 │ │ │ 18:09:39 │ │ │ Inc │ │ Global │ │ │ │ │ │ │ │ │ │ │ │ │ │ Asset │ │ │ │ │ │ │ │ │ │ │ │ │ │ Management │ │ │ │ │ │ │ └───┴─────────────┴────────────┴────────┴──────────────────────┴──────────────────────┴────────────┴─────────────┴─────────┴─────────┴───────────┴──────────┴─────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":639,"href":"/OpenBBTerminal/terminal/stocks/insider/blop/","title":"Blop","parent":"Insider","content":"usage: blop [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print latest officer purchases 25k. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:49 (✨) /stocks/ins/ $ blop Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ M │ 2022-02-15 │ 2022-02-14 │ TWOU │ 2U, Inc. │ Chernis Mark │ COO │ P - Purchase │ $9.29 │ +43,482 │ 349,939 │ +14% │ +$403,886 │ │ │ 20:47:47 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ NMRK │ Newmark Group, Inc. │ Lutnick Howard W │ COB, 10% │ P - Purchase │ $17.21 │ +277,000 │ 14,009,707 │ +2% │ +$4,767,220 │ │ │ 17:17:30 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-14 │ 2022-02-10 │ NXDT │ Nexpoint Diversified │ Dondero James D │ See │ P - Purchase │ $15.05 │ +83,825 │ 5,681,792 │ +1% │ +$1,261,481 │ │ │ 18:26:27 │ │ │ Real Estate Trust │ │ Remarks, │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-14 │ 2020-07-31 │ VERX │ Vertex, Inc. │ Schwab John R │ CFO │ P - Purchase │ $19.00 │ +2,894 │ 5,579 │ +108% │ +$54,986 │ │ │ 14:11:46 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-14 │ 2022-02-11 │ FLXS │ Flexsteel Industries │ Schmidt Derek P │ CFO, COO │ P - Purchase │ $22.38 │ +17,111 │ 174,275 │ +11% │ +$382,859 │ │ │ 13:09:00 │ │ │ Inc │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-14 │ 2022-02-14 │ SKYX │ Sql Technologies │ Campi John P. │ CEO │ P - Purchase │ $14.00 │ +14,285 │ 1,184,285 │ +1% │ +$199,990 │ │ │ 12:56:34 │ │ │ Corp. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-11 │ 2022-02-09 │ AIRT │ Air T Inc │ Swenson Nicholas │ CEO, 10% │ P - Purchase │ $27.32 │ +2,625 │ 1,347,599 │ 0% │ +$71,724 │ │ │ 19:37:55 │ │ │ │ John │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-11 │ 2022-02-09 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $63.20 │ +1,250,000 │ 21,986,722 │ +6% │ +$79,005,992 │ │ │ 18:50:54 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-11 │ 2022-02-09 │ LOB │ Live Oak Bancshares, │ Losch William C III │ CFO │ P - Purchase │ $63.74 │ +6,250 │ 9,750 │ +179% │ +$398,382 │ │ │ 18:26:14 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-11 │ 2022-02-10 │ GHM │ Graham Corp │ Smith Alan E │ VP, GM - │ P - Purchase │ $9.10 │ +8,000 │ 59,163 │ +16% │ +$72,800 │ │ │ 15:02:12 │ │ │ │ │ Batavia │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴──────────────────────┴─────────────────────┴────────────┴──────────────┴────────┴────────────┴────────────┴──────────┴──────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":640,"href":"/OpenBBTerminal/terminal/stocks/insider/blos/","title":"Blos","parent":"Insider","content":"usage: blos [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print big latest officer sales ($100k+) Source: https://Openinsider.com\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:51 (✨) /stocks/ins/ $ blos Insider Data ┏━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━┩ │ D │ 2022-02-15 │ 2022-02-15 │ EW │ Edwards Lifesciences │ Mussallem Michael A │ COB, CEO │ S - Sale+OE │ $110.09 │ -32,550 │ 3,820,007 │ -1% │ -$3,583,289 │ │ │ 20:50:39 │ │ │ Corp │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ AGCO │ Agco Corp /de │ Beck Andrew H │ SVP, CFO │ S - Sale+OE │ $131.83 │ -25,000 │ 107,337 │ -19% │ -$3,295,750 │ │ │ 20:38:48 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ PUBM │ Pubmatic, Inc. │ Goel Amar K. │ Chief │ S - Sale+OE │ $29.85 │ -24,000 │ 0 │ -100% │ -$716,444 │ │ │ 20:24:51 │ │ │ │ │ Innovation │ │ │ │ │ │ │ │ │ │ │ │ │ │ Officer, │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ AON │ Aon Plc │ Davies Christa │ CFO │ S - Sale+OE │ $283.72 │ -616 │ 200,237 │ 0% │ -$174,772 │ │ │ 19:36:49 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ NOW │ Servicenow, Inc. │ Desai Chirantan │ COO │ S - Sale+OE │ $578.48 │ -3,000 │ 50,376 │ -6% │ -$1,735,431 │ │ │ 19:05:07 │ │ │ │ Jitendra │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ IBKR │ Interactive Brokers │ Peterffy Thomas │ COB │ S - Sale │ $73.61 │ -33,000 │ 3,874,511 │ -1% │ -$2,429,184 │ │ │ 18:59:49 │ │ │ Group, Inc. │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ AMP │ Ameriprise Financial │ Sweeney Joseph │ Pres-AWM │ S - Sale+OE │ $315.45 │ -12,981 │ 10,423 │ -55% │ -$4,094,838 │ │ │ 18:10:56 │ │ │ Inc │ Edward │ Products, │ │ │ │ │ │ │ │ │ │ │ │ │ │ Services │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ AMP │ Ameriprise Financial │ Thissen Karen Wilson │ EVP, GC │ S - Sale+OE │ $313.88 │ -6,444 │ 10,472 │ -38% │ -$2,022,661 │ │ │ 18:10:40 │ │ │ Inc │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ AMP │ Ameriprise Financial │ Truscott William F │ CEO, │ S - Sale+OE │ $305.09 │ -16,000 │ 28,647 │ -36% │ -$4,881,468 │ │ │ 18:09:39 │ │ │ Inc │ │ Global │ │ │ │ │ │ │ │ │ │ │ │ │ │ Asset │ │ │ │ │ │ │ │ │ │ │ │ │ │ Management │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ DDOG │ Datadog, Inc. │ Agarwal Amit │ Chief │ S - Sale+OE │ $173.24 │ -2,500 │ 164,118 │ -2% │ -$433,095 │ │ │ 17:58:07 │ │ │ │ │ Product │ │ │ │ │ │ │ │ │ │ │ │ │ │ Officer │ │ │ │ │ │ │ └───┴─────────────┴────────────┴────────┴──────────────────────┴──────────────────────┴────────────┴─────────────┴─────────┴─────────┴───────────┴──────────┴─────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":641,"href":"/OpenBBTerminal/terminal/stocks/insider/filter/","title":"Filter","parent":"Insider","content":"usage: filter [-l LIMIT] [-u] [-h] [--export {csv,json,xlsx}] Print open insider filtered data using loaded preset. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -u, --urls Flag to show hyperlinks (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:51 (✨) /stocks/ins/ $ filter Insider filtered ┏━━━┳━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ X ┃ Trading Date ┃ Ticker ┃ Insider ┃ Title ┃ Price ┃ Quantity ┃ Owned ┃ Delta Own ┃ Value ┃ Company ┃ ┡━━━╇━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ │ 2022-02-14 │ MGM │ Meister Keith A. │ Dir │ $45.00 │ -4,500,000 │ 6,673,778 │ -40% │ -$202,500,000 │ Mgm Resorts International │ ├───┼──────────────┼────────┼───────────────────────┼──────────────────────────────┼─────────┼─────────────┼─────────────┼───────────┼─────────────────┼────────────────────────────┤ │ M │ 2022-02-10 │ MA │ Mastercard Foundation │ 10% │ $375.58 │ -465,180 │ 104,471,071 │ 0% │ -$174,712,785 │ Mastercard Inc │ ├───┼──────────────┼────────┼───────────────────────┼──────────────────────────────┼─────────┼─────────────┼─────────────┼───────────┼─────────────────┼────────────────────────────┤ │ D │ 2022-02-10 │ EL │ Lauder Ronald S │ COB, Clinique Labs, LLC, 10% │ $307.08 │ -700,000 │ 6,364 │ -99% │ -$214,956,000 │ Estee Lauder Companies Inc │ ├───┼──────────────┼────────┼───────────────────────┼──────────────────────────────┼─────────┼─────────────┼─────────────┼───────────┼─────────────────┼────────────────────────────┤ │ M │ 2022-02-07 │ MA │ Mastercard Foundation │ 10% │ $378.65 │ -465,180 │ 104,936,251 │ 0% │ -$176,139,632 │ Mastercard Inc │ ├───┼──────────────┼────────┼───────────────────────┼──────────────────────────────┼─────────┼─────────────┼─────────────┼───────────┼─────────────────┼────────────────────────────┤ │ │ 2022-02-04 │ VIRT │ Gic Private Ltd │ 10% │ $31.04 │ -4,027,062 │ 8,731,144 │ -32% │ -$125,000,004 │ Virtu Financial, Inc. │ ├───┼──────────────┼────────┼───────────────────────┼──────────────────────────────┼─────────┼─────────────┼─────────────┼───────────┼─────────────────┼────────────────────────────┤ │ D │ 2022-02-04 │ BKR │ General Electric Co │ 10% │ $25.98 │ -50,097,840 │ 116,548,079 │ -30% │ -$1,301,541,883 │ Baker Hughes Co │ ├───┼──────────────┼────────┼───────────────────────┼──────────────────────────────┼─────────┼─────────────┼─────────────┼───────────┼─────────────────┼────────────────────────────┤ │ D │ 2022-02-03 │ MGY │ Enervest, Ltd. │ Dir, 10% │ $21.00 │ -7,455,815 │ 16,282,900 │ -31% │ -$156,572,115 │ Magnolia Oil \u0026amp; Gas Corp │ ├───┼──────────────┼────────┼───────────────────────┼──────────────────────────────┼─────────┼─────────────┼─────────────┼───────────┼─────────────────┼────────────────────────────┤ │ D │ 2022-02-03 │ MGY │ Walker John B │ Dir, 10% │ $21.00 │ -7,455,815 │ 16,879,220 │ -31% │ -$156,572,115 │ Magnolia Oil \u0026amp; Gas Corp │ └───┴──────────────┴────────┴───────────────────────┴──────────────────────────────┴─────────┴─────────────┴─────────────┴───────────┴─────────────────┴────────────────────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price S - Sale: Sale of securities on an exchange or to another person S - Sale+OE: Sale of securities on an exchange or to another person (after option exercise) "},{"id":642,"href":"/OpenBBTerminal/terminal/stocks/insider/lcb/","title":"Lcb","parent":"Insider","content":"usage: lcb [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print latest cluster buys. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:52 (✨) /stocks/ins/ $ lcb Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Industry ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ │ DM │ 2022-02-15 │ 2022-02-11 │ RSVR │ Reservoir Media, │ Amusement \u0026amp; │ 6 │ P - Purchase │ $6.79 │ +504,505 │ 15,285,695 │ +3% │ +$3,426,335 │ │ │ 21:57:01 │ │ │ Inc. │ Recreation Services │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼───────┼──────────────┼────────┼─────────────┼────────────┼──────────┼───────────────┤ │ M │ 2022-02-15 │ 2022-02-14 │ TWOU │ 2U, Inc. │ Prepackaged Software │ 3 │ P - Purchase │ $9.43 │ +179,522 │ 1,176,241 │ +18% │ +$1,692,212 │ │ │ 20:47:47 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼───────┼──────────────┼────────┼─────────────┼────────────┼──────────┼───────────────┤ │ M │ 2022-02-15 │ 2022-02-14 │ MTRX │ Matrix Service Co │ Special Trade │ 3 │ P - Purchase │ $6.78 │ +29,800 │ 505,338 │ +6% │ +$202,017 │ │ │ 17:18:30 │ │ │ │ Contractors │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼───────┼──────────────┼────────┼─────────────┼────────────┼──────────┼───────────────┤ │ D │ 2022-02-14 │ 2022-02-11 │ GHM │ Graham Corp │ General Industrial │ 4 │ P - Purchase │ $9.15 │ +25,600 │ 155,113 │ +20% │ +$234,160 │ │ │ 16:16:44 │ │ │ │ Machinery \u0026amp; │ │ │ │ │ │ │ │ │ │ │ │ │ │ Equipment │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼───────┼──────────────┼────────┼─────────────┼────────────┼──────────┼───────────────┤ │ M │ 2022-02-14 │ 2021-11-18 │ CTLP │ Cantaloupe, Inc. │ Calculating \u0026amp; │ 3 │ P - Purchase │ $8.07 │ +129,297 │ 12,223,845 │ +1% │ +$1,044,001 │ │ │ 16:14:49 │ │ │ │ Accounting Machines │ │ │ │ │ │ │ │ │ │ │ │ │ │ (No Electronic │ │ │ │ │ │ │ │ │ │ │ │ │ │ Computers) │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼───────┼──────────────┼────────┼─────────────┼────────────┼──────────┼───────────────┤ │ DM │ 2022-02-14 │ 2022-02-11 │ FLXS │ Flexsteel Industries │ Household Furniture │ 3 │ P - Purchase │ $22.98 │ +22,977 │ 199,923 │ +13% │ +$528,044 │ │ │ 13:09:00 │ │ │ Inc │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼───────┼──────────────┼────────┼─────────────┼────────────┼──────────┼───────────────┤ │ M │ 2022-02-11 │ 2022-02-09 │ ASAN │ Asana, Inc. │ Prepackaged Software │ 2 │ P - Purchase │ $64.41 │ +12,625,661 │ 22,075,784 │ +134% │ +$813,188,832 │ │ │ 18:50:54 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼───────┼──────────────┼────────┼─────────────┼────────────┼──────────┼───────────────┤ │ DM │ 2022-02-11 │ 2022-02-09 │ LOB │ Live Oak Bancshares, │ State Commercial │ 2 │ P - Purchase │ $63.98 │ +21,875 │ 1,353,036 │ +2% │ +$1,399,565 │ │ │ 18:28:13 │ │ │ Inc. │ Banks │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼───────┼──────────────┼────────┼─────────────┼────────────┼──────────┼───────────────┤ │ M │ 2022-02-10 │ 2022-02-08 │ ECAT │ Blackrock Esg │ Closed-End Funds │ 3 │ P - Purchase │ $18.72 │ +61,879 │ 119,380 │ +108% │ +$1,158,411 │ │ │ 15:12:22 │ │ │ Capital Allocation │ │ │ │ │ │ │ │ │ │ │ │ │ │ Trust │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼───────┼──────────────┼────────┼─────────────┼────────────┼──────────┼───────────────┤ │ D │ 2022-02-09 │ 2022-02-07 │ CSII │ Cardiovascular │ Surgical \u0026amp; Medical │ 3 │ P - Purchase │ $18.43 │ +6,067 │ 285,893 │ +2% │ +$111,801 │ │ │ 16:45:18 │ │ │ Systems Inc │ Instruments \u0026amp; │ │ │ │ │ │ │ │ │ │ │ │ │ │ Apparatus │ │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴──────────────────────┴──────────────────────┴───────┴──────────────┴────────┴─────────────┴────────────┴──────────┴───────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":643,"href":"/OpenBBTerminal/terminal/stocks/insider/lins/","title":"Lins","parent":"Insider","content":"usage: lins [-l LIMIT] [-h] [--export {csv,json,xlsx}] Prints information about inside traders. The following fields are expected: Date, Relationship, Transaction, #Shares, Cost, Value ($), #Shares Total, Insider Trading, SEC Form 4. [Source: Finviz]\noptional arguments: -l LIMIT, --limit LIMIT Limit of latest inside traders. -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Example:\n2022 Feb 16, 07:54 (✨) /stocks/ins/ $ lins Insider Activity ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ ┃ ┃ Relationship ┃ Transaction ┃ #Shares ┃ Cost ┃ Value ($) ┃ #Shares Total ┃ Insider Trading ┃ SEC Form 4 ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ │ Feb 03 │ SVP, GC and Secretary │ Sale │ 25,000 │ 174.78 │ 4,369,548 │ 419,715 │ Adams Katherine L. │ Feb 07 06:30 PM │ ├────────┼──────────────────────────────┼─────────────┼───────────┼────────┼─────────────┼───────────────┼────────────────────┼─────────────────┤ │ Feb 01 │ Director │ Sale │ 1,986 │ 173.29 │ 344,154 │ 4,532,724 │ LEVINSON ARTHUR D │ Feb 03 06:35 PM │ ├────────┼──────────────────────────────┼─────────────┼───────────┼────────┼─────────────┼───────────────┼────────────────────┼─────────────────┤ │ Nov 12 │ Principal Accounting Officer │ Sale │ 9,005 │ 150.00 │ 1,350,750 │ 37,197 │ KONDO CHRIS │ Nov 16 06:30 PM │ ├────────┼──────────────────────────────┼─────────────┼───────────┼────────┼─────────────┼───────────────┼────────────────────┼─────────────────┤ │ Nov 01 │ SVP, GC and Secretary │ Sale │ 25,000 │ 148.68 │ 3,716,895 │ 447,993 │ Adams Katherine L. │ Nov 03 06:31 PM │ ├────────┼──────────────────────────────┼─────────────┼───────────┼────────┼─────────────┼───────────────┼────────────────────┼─────────────────┤ │ Oct 19 │ Senior Vice President, CFO │ Sale │ 165,829 │ 148.62 │ 24,645,506 │ 110,501 │ Maestri Luca │ Oct 21 06:30 PM │ ├────────┼──────────────────────────────┼─────────────┼───────────┼────────┼─────────────┼───────────────┼────────────────────┼─────────────────┤ │ Oct 18 │ Senior Vice President │ Sale │ 18,247 │ 146.35 │ 2,670,391 │ 136,118 │ O'BRIEN DEIRDRE │ Oct 19 06:31 PM │ ├────────┼──────────────────────────────┼─────────────┼───────────┼────────┼─────────────┼───────────────┼────────────────────┼─────────────────┤ │ Oct 04 │ COO │ Sale │ 165,829 │ 138.83 │ 23,022,040 │ 489,490 │ WILLIAMS JEFFREY E │ Oct 05 06:44 PM │ ├────────┼──────────────────────────────┼─────────────┼───────────┼────────┼─────────────┼───────────────┼────────────────────┼─────────────────┤ │ Oct 04 │ Senior Vice President │ Sale │ 89,437 │ 138.83 │ 12,416,539 │ 136,118 │ O'BRIEN DEIRDRE │ Oct 05 06:43 PM │ ├────────┼──────────────────────────────┼─────────────┼───────────┼────────┼─────────────┼───────────────┼────────────────────┼─────────────────┤ │ Aug 25 │ Chief Executive Officer │ Sale │ 2,386,440 │ 148.58 │ 354,568,479 │ 3,279,726 │ COOK TIMOTHY D │ Aug 26 06:30 PM │ ├────────┼──────────────────────────────┼─────────────┼───────────┼────────┼─────────────┼───────────────┼────────────────────┼─────────────────┤ │ Aug 06 │ Senior Vice President │ Sale │ 14,877 │ 145.99 │ 2,171,893 │ 136,118 │ O'BRIEN DEIRDRE │ Aug 09 06:30 PM │ └────────┴──────────────────────────────┴─────────────┴───────────┴────────┴─────────────┴───────────────┴────────────────────┴─────────────────┘ "},{"id":644,"href":"/OpenBBTerminal/terminal/stocks/insider/lip/","title":"Lip","parent":"Insider","content":"usage: lip [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print latest insider purchases. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:55 (✨) /stocks/ins/ $ lip Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ M │ 2022-02-16 │ 2022-02-09 │ ZIVO │ Zivo Bioscience, │ Maggiore Christopher │ Dir, 10% │ P - Purchase │ $3.72 │ +91,334 │ 803,105 │ +13% │ +$340,098 │ │ │ 06:02:09 │ │ │ Inc. │ D. │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ RSVR │ Reservoir Media, │ Richmond Hill │ May be │ P - Purchase │ $6.75 │ +136,364 │ 136,364 │ New │ +$920,717 │ │ │ 21:57:01 │ │ │ Inc. │ Investments, LLC │ deemed a │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% owner │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ RSVR │ Reservoir Media, │ Richmond Hill │ May be │ P - Purchase │ $6.75 │ +58,441 │ 58,441 │ New │ +$394,588 │ │ │ 21:56:17 │ │ │ Inc. │ Capital Partners, LP │ deemed a │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% owner │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ KNTE │ Kinnate Biopharma │ Gordon Carl L │ Dir │ P - Purchase │ $10.17 │ +195,700 │ 4,043,629 │ +5% │ +$1,989,446 │ │ │ 21:51:12 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ KNTE │ Kinnate Biopharma │ Orbimed Advisors LLC │ Dir │ P - Purchase │ $10.17 │ +195,700 │ 4,043,629 │ +5% │ +$1,989,446 │ │ │ 21:42:44 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-15 │ 2022-02-14 │ RSVR │ Reservoir Media, │ Cook Stephen M. │ Dir │ P - Purchase │ $7.29 │ +41,510 │ 1,057,171 │ +4% │ +$302,565 │ │ │ 21:32:18 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-15 │ 2022-02-11 │ AREN │ Arena Group │ B. Riley Financial, │ 10% │ P - Purchase │ $8.26 │ +1,977,982 │ 5,411,514 │ +58% │ +$16,329,921 │ │ │ 21:30:53 │ │ │ Holdings, Inc. │ Inc. │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-14 │ TWOU │ 2U, Inc. │ Chernis Mark │ COO │ P - Purchase │ $9.29 │ +43,482 │ 349,939 │ +14% │ +$403,886 │ │ │ 20:47:47 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ CRCT │ Cricut, Inc. │ Abdiel Capital │ 10% │ P - Purchase │ $19.80 │ +148,069 │ 24,650,327 │ +1% │ +$2,931,718 │ │ │ 19:55:23 │ │ │ │ Management, LLC │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ LFT │ Lument Finance │ Keenan Walter C │ Dir │ P - Purchase │ $0.00 │ +0 │ 91,911 │ 0% │ +$0 │ │ │ 18:38:21 │ │ │ Trust, Inc. │ │ │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴───────────────────┴──────────────────────┴───────────┴──────────────┴────────┴────────────┴────────────┴──────────┴──────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":645,"href":"/OpenBBTerminal/terminal/stocks/insider/lis/","title":"Lis","parent":"Insider","content":"usage: lis [-l LIMIT] [-h] [--export {csv,json,xlsx}] The latest insider dispositions across the corporate landscape in America. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:56 (✨) /stocks/ins/ $ lis Insider Data ┏━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━┩ │ D │ 2022-02-15 │ 2022-02-14 │ BVS │ Bioventus Inc. │ D'Adamio Anthony │ SVP, GC │ S - Sale+OE │ $11.99 │ -1,294 │ 18,672 │ -6% │ -$15,513 │ │ │ 21:31:03 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ BVS │ Bioventus Inc. │ Anglum Gregory O. │ SVP, CFO │ S - Sale+OE │ $11.99 │ -1,294 │ 55,013 │ -2% │ -$15,518 │ │ │ 21:27:43 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ BVS │ Bioventus Inc. │ Nosenzo John │ Chief │ S - Sale+OE │ $11.99 │ -534 │ 43,370 │ -1% │ -$6,401 │ │ │ 21:17:44 │ │ │ │ │ Commercial │ │ │ │ │ │ │ │ │ │ │ │ │ │ Officer │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ PGNY │ Progyny, Inc. │ Schlanger David J │ Exec COB │ S - Sale+OE │ $42.00 │ -1,000 │ 84,000 │ -1% │ -$42,000 │ │ │ 21:09:05 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-15 │ EW │ Edwards Lifesciences │ Mussallem Michael A │ COB, CEO │ S - Sale+OE │ $110.09 │ -32,550 │ 3,820,007 │ -1% │ -$3,583,289 │ │ │ 20:50:39 │ │ │ Corp │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-11 │ AGCO │ Agco Corp /de │ Beck Andrew H │ SVP, CFO │ S - Sale+OE │ $131.83 │ -25,000 │ 107,337 │ -19% │ -$3,295,750 │ │ │ 20:38:48 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ PUBM │ Pubmatic, Inc. │ Goel Amar K. │ Chief │ S - Sale+OE │ $29.85 │ -24,000 │ 0 │ -100% │ -$716,444 │ │ │ 20:24:51 │ │ │ │ │ Innovation │ │ │ │ │ │ │ │ │ │ │ │ │ │ Officer, │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ NET │ Cloudflare, Inc. │ Meresman Stanley J │ Dir │ S - Sale+OE │ $106.00 │ -18,622 │ 2,441 │ -88% │ -$1,973,993 │ │ │ 19:57:51 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ AON │ Aon Plc │ Davies Christa │ CFO │ S - Sale+OE │ $283.72 │ -616 │ 200,237 │ 0% │ -$174,772 │ │ │ 19:36:49 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼─────────────┼─────────┼─────────┼───────────┼──────────┼─────────────┤ │ D │ 2022-02-15 │ 2022-02-15 │ RYTM │ Rhythm │ Shulman Joseph │ Chief │ S - Sale+OE │ $6.10 │ -557 │ 1,006 │ -36% │ -$3,398 │ │ │ 19:32:08 │ │ │ Pharmaceuticals, │ │ Technical │ │ │ │ │ │ │ │ │ │ │ │ Inc. │ │ Officer │ │ │ │ │ │ │ └───┴─────────────┴────────────┴────────┴──────────────────────┴─────────────────────┴────────────┴─────────────┴─────────┴─────────┴───────────┴──────────┴─────────────┘ D: Derivative transaction in filing (usually option exercise) "},{"id":646,"href":"/OpenBBTerminal/terminal/stocks/insider/lit/","title":"Lit","parent":"Insider","content":"usage: lit [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print latest insider trading. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 07:58 (✨) /stocks/ins/ $ lit Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ M │ 2022-02-16 │ 2022-02-09 │ ZIVO │ Zivo Bioscience, │ Maggiore Christopher │ Dir, 10% │ P - Purchase │ $3.72 │ +91,334 │ 803,105 │ +13% │ +$340,098 │ │ │ 06:02:09 │ │ │ Inc. │ D. │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼────────────┼──────────────┼────────┼────────────┼───────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ RSVR │ Reservoir Media, │ Richmond Hill │ May be │ P - Purchase │ $6.75 │ +136,364 │ 136,364 │ New │ +$920,717 │ │ │ 21:57:01 │ │ │ Inc. │ Investments, LLC │ deemed a │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% owner │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼────────────┼──────────────┼────────┼────────────┼───────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ RSVR │ Reservoir Media, │ Richmond Hill │ May be │ P - Purchase │ $6.75 │ +58,441 │ 58,441 │ New │ +$394,588 │ │ │ 21:56:17 │ │ │ Inc. │ Capital Partners, LP │ deemed a │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% owner │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼────────────┼──────────────┼────────┼────────────┼───────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ KNTE │ Kinnate Biopharma │ Gordon Carl L │ Dir │ P - Purchase │ $10.17 │ +195,700 │ 4,043,629 │ +5% │ +$1,989,446 │ │ │ 21:51:12 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼────────────┼──────────────┼────────┼────────────┼───────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ KNTE │ Kinnate Biopharma │ Orbimed Advisors LLC │ Dir │ P - Purchase │ $10.17 │ +195,700 │ 4,043,629 │ +5% │ +$1,989,446 │ │ │ 21:42:44 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼────────────┼──────────────┼────────┼────────────┼───────────┼──────────┼──────────────┤ │ DM │ 2022-02-15 │ 2022-02-14 │ RSVR │ Reservoir Media, │ Cook Stephen M. │ Dir │ P - Purchase │ $7.29 │ +41,510 │ 1,057,171 │ +4% │ +$302,565 │ │ │ 21:32:18 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼────────────┼──────────────┼────────┼────────────┼───────────┼──────────┼──────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ BVS │ Bioventus Inc. │ D'Adamio Anthony │ SVP, GC │ S - Sale+OE │ $11.99 │ -1,294 │ 18,672 │ -6% │ -$15,513 │ │ │ 21:31:03 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼────────────┼──────────────┼────────┼────────────┼───────────┼──────────┼──────────────┤ │ DM │ 2022-02-15 │ 2022-02-11 │ AREN │ Arena Group │ B. Riley Financial, │ 10% │ P - Purchase │ $8.26 │ +1,977,982 │ 5,411,514 │ +58% │ +$16,329,921 │ │ │ 21:30:53 │ │ │ Holdings, Inc. │ Inc. │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼────────────┼──────────────┼────────┼────────────┼───────────┼──────────┼──────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ BVS │ Bioventus Inc. │ Anglum Gregory O. │ SVP, CFO │ S - Sale+OE │ $11.99 │ -1,294 │ 55,013 │ -2% │ -$15,518 │ │ │ 21:27:43 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼────────────┼──────────────┼────────┼────────────┼───────────┼──────────┼──────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ BVS │ Bioventus Inc. │ Nosenzo John │ Chief │ S - Sale+OE │ $11.99 │ -534 │ 43,370 │ -1% │ -$6,401 │ │ │ 21:17:44 │ │ │ │ │ Commercial │ │ │ │ │ │ │ │ │ │ │ │ │ │ Officer │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴───────────────────┴──────────────────────┴────────────┴──────────────┴────────┴────────────┴───────────┴──────────┴──────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":647,"href":"/OpenBBTerminal/terminal/stocks/insider/load/","title":"Load","parent":"Insider","content":"usage: load [-t S_TICKER] [-s S_START_DATE] [-i {1,5,15,30,60}] [--source {yf,av,iex}] [-p] [-h] See: load\noptional arguments: -t S_TICKER, --ticker S_TICKER Stock ticker (default: None) -s S_START_DATE, --start S_START_DATE The starting date (format YYYY-MM-DD) of the stock (default: 2020-09-15) -i {1,5,15,30,60}, --interval {1,5,15,30,60} Intraday stock minutes (default: 1440) --source {yf,av,iex} Source of historical data. (default: yf) -p, --prepost Pre/After market hours. Only works for 'yf' source, and intraday data (default: False) -h, --help show this help message (default: False) "},{"id":648,"href":"/OpenBBTerminal/terminal/stocks/insider/lpsb/","title":"Lpsb","parent":"Insider","content":"usage: lpsb [-l LIMIT] [-h] [--export {csv,json,xlsx}] See the latest, penny stock, executive and director acquisitions. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 08:13 (✨) /stocks/ins/ $ lpsb Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ M │ 2022-02-16 │ 2022-02-09 │ ZIVO │ Zivo Bioscience, │ Maggiore Christopher │ Dir, 10% │ P - Purchase │ $3.72 │ +91,334 │ 803,105 │ +13% │ +$340,098 │ │ │ 06:02:09 │ │ │ Inc. │ D. │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼───────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-15 │ 2021-07-12 │ VGZ │ Vista Gold Corp │ Sun Valley Gold │ 10% │ P - Purchase │ $1.10 │ +1,300,000 │ 19,922,544 │ +7% │ +$1,430,000 │ │ │ 16:34:28 │ │ │ │ Master Fund, Ltd │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼───────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-14 │ 2022-02-10 │ SNSE │ Sensei │ Peyer James │ Dir, 10% │ P - Purchase │ $4.45 │ +17,500 │ 5,175,786 │ 0% │ +$77,900 │ │ │ 19:19:52 │ │ │ Biotherapeutics, │ │ │ │ │ │ │ │ │ │ │ │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼───────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-14 │ 2022-02-10 │ SNSE │ Sensei │ Cambrian Biopharma │ 10% │ P - Purchase │ $4.45 │ +17,500 │ 5,175,786 │ 0% │ +$77,900 │ │ │ 19:18:48 │ │ │ Biotherapeutics, │ Inc │ │ │ │ │ │ │ │ │ │ │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼───────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-14 │ 2022-02-10 │ IMRA │ Imara Inc. │ Mott David M │ Dir │ P - Purchase │ $1.23 │ +31,826 │ 31,826 │ New │ +$39,246 │ │ │ 17:02:52 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼───────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-11 │ 2022-02-09 │ ARMP │ Armata │ Innoviva, Inc. │ Dir, 10% │ P - Purchase │ $5.00 │ +3,614,792 │ 19,691,561 │ +22% │ +$18,073,960 │ │ │ 18:56:05 │ │ │ Pharmaceuticals, │ │ │ │ │ │ │ │ │ │ │ │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼───────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-11 │ 2022-02-09 │ EMMA │ Emmaus Life │ Niihara Yutaka │ COB, CEO, │ P - Purchase │ $1.46 │ +30,500 │ 11,350,200 │ 0% │ +$44,385 │ │ │ 17:00:36 │ │ │ Sciences, Inc. │ │ 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼───────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-10 │ 2022-02-08 │ REVB │ Revelation │ Tidmarsh George F │ Dir, 10% │ P - Purchase │ $2.55 │ +31,000 │ 1,970,491 │ +2% │ +$79,139 │ │ │ 18:22:45 │ │ │ Biosciences, Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼───────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-09 │ 2022-02-08 │ MYPS │ Playstudios, Inc. │ Pascal Andrew S │ COB, CEO, │ P - Purchase │ $4.77 │ +25,700 │ 16,242,900 │ 0% │ +$122,602 │ │ │ 19:36:53 │ │ │ │ │ 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼───────────────────┼──────────────────────┼───────────┼──────────────┼───────┼────────────┼────────────┼──────────┼──────────────┤ │ AM │ 2022-02-09 │ 2022-02-04 │ REVB │ Revelation │ Tidmarsh George F │ Dir, 10% │ P - Purchase │ $2.56 │ +52,000 │ 1,939,491 │ +3% │ +$132,936 │ │ │ 16:24:52 │ │ │ Biosciences, Inc. │ │ │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴───────────────────┴──────────────────────┴───────────┴──────────────┴───────┴────────────┴────────────┴──────────┴──────────────┘ A: Amended filing D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":649,"href":"/OpenBBTerminal/terminal/stocks/insider/set/","title":"Set","parent":"Insider","content":"usage: set [-p {Gold-Silver,Personal-Credit,Business-Services,Furniture,Mining,Brokers,Wholesale-Trade,Manufacturing,Nondurable-Goods,Legal,template,Construction,Retail-Trade,Hotels,Professional-Services,Guided-Missiles,Durable-Goods,Insurance-Agents,whales,Building-Materials,Closed-End-Funds,Utility-Communications,Ground-Freight,Lumber,Grocery,Electronics,Tobacco,Agriculture,Real-Estate,Agro-Chemicals,Credit-Industry,Railroads,Retail-Stores,Apparel,Insurance-Carriers,Investment-Offices,Banks,Restaurants,Pharmaceuticals,Health,Air-Transportation,Utility-Gas,Mortgages}] [-h] Set the preset from the available list of user-generated presets. Use the template file, save as the desired name for the new preset in the same directory.\noptional arguments: -p {Gold-Silver,Personal-Credit,Business-Services,Furniture,Mining,Brokers,Wholesale-Trade,Manufacturing,Nondurable-Goods,Legal,template,Construction,Retail-Trade,Hotels,Professional-Services,Guided-Missiles,Durable-Goods,Insurance-Agents,whales,Building-Materials,Closed-End-Funds,Utility-Communications,Ground-Freight,Lumber,Grocery,Electronics,Tobacco,Agriculture,Real-Estate,Agro-Chemicals,Credit-Industry,Railroads,Retail-Stores,Apparel,Insurance-Carriers,Investment-Offices,Banks,Restaurants,Pharmaceuticals,Health,Air-Transportation,Utility-Gas,Mortgages}, --preset {Gold-Silver,Personal-Credit,Business-Services,Furniture,Mining,Brokers,Wholesale-Trade,Manufacturing,Nondurable-Goods,Legal,template,Construction,Retail-Trade,Hotels,Professional-Services,Guided-Missiles,Durable-Goods,Insurance-Agents,whales,Building-Materials,Closed-End-Funds,Utility-Communications,Ground-Freight,Lumber,Grocery,Electronics,Tobacco,Agriculture,Real-Estate,Agro-Chemicals,Credit-Industry,Railroads,Retail-Stores,Apparel,Insurance-Carriers,Investment-Offices,Banks,Restaurants,Pharmaceuticals,Health,Air-Transportation,Utility-Gas,Mortgages} Filter presets -h, --help show this help message "},{"id":650,"href":"/OpenBBTerminal/terminal/stocks/insider/tippm/","title":"Tippm","parent":"Insider","content":"usage: tippm [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print top insider purchases of the month. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 08:15 (✨) /stocks/ins/ $ tippm Insider Data ┏━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ M │ 2022-02-11 │ 2022-02-09 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $63.20 │ +1,250,000 │ 21,986,722 │ +6% │ +$79,005,992 │ │ │ 18:50:54 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼──────────────┼────────┼─────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-01-21 │ 2022-01-19 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $54.38 │ +1,250,000 │ 18,236,722 │ +7% │ +$67,971,300 │ │ │ 20:10:14 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼──────────────┼────────┼─────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-01-28 │ 2022-01-26 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $48.97 │ +1,250,000 │ 19,486,722 │ +7% │ +$61,206,304 │ │ │ 19:49:05 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼──────────────┼────────┼─────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-04 │ 2022-02-02 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $48.15 │ +1,250,000 │ 20,736,722 │ +6% │ +$60,187,048 │ │ │ 17:49:06 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼──────────────┼────────┼─────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-01-18 │ 2022-01-13 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $63.57 │ +750,000 │ 16,986,722 │ +5% │ +$47,678,117 │ │ │ 18:33:06 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼──────────────┼────────┼─────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-01 │ 2022-01-31 │ EPZM │ Epizyme, Inc. │ Legorreta Pablo G. │ Dir, 10% │ P - Purchase │ $1.50 │ +22,666,667 │ 31,833,334 │ +247% │ +$34,000,001 │ │ │ 16:17:51 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼──────────────┼────────┼─────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-01-25 │ 2022-01-21 │ KOD │ Kodiak Sciences Inc. │ Baker Bros. Advisors │ Dir, 10% │ P - Purchase │ $57.49 │ +501,111 │ 15,182,415 │ +3% │ +$28,806,796 │ │ │ 17:40:15 │ │ │ │ LP │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼──────────────┼────────┼─────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-10 │ 2022-02-08 │ ACLX │ Arcellx, Inc. │ Sr One Capital │ 10% │ P - Purchase │ $15.00 │ +1,666,667 │ 2,033,196 │ +455% │ +$25,000,005 │ │ │ 08:41:09 │ │ │ │ Management, LLC │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼──────────────┼────────┼─────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-09 │ 2022-02-08 │ ACLX │ Arcellx, Inc. │ Carroll Jill │ Dir │ P - Purchase │ $15.00 │ +1,666,667 │ 2,033,196 │ +455% │ +$25,000,005 │ │ │ 17:51:42 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼──────────────┼────────┼─────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-09 │ 2022-02-08 │ ACLX │ Arcellx, Inc. │ New Enterprise │ 10% │ P - Purchase │ $15.00 │ +1,583,333 │ 6,432,762 │ +33% │ +$23,749,995 │ │ │ 18:18:55 │ │ │ │ Associates 15, L.P. │ │ │ │ │ │ │ │ └───┴─────────────┴────────────┴────────┴──────────────────────┴──────────────────────┴────────────┴──────────────┴────────┴─────────────┴────────────┴──────────┴──────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":651,"href":"/OpenBBTerminal/terminal/stocks/insider/tippw/","title":"Tippw","parent":"Insider","content":"usage: tippw [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print top insider purchases of the week. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 08:16 (✨) /stocks/ins/ $ tippw Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ M │ 2022-02-11 │ 2022-02-09 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $63.20 │ +1,250,000 │ 21,986,722 │ +6% │ +$79,005,992 │ │ │ 18:50:54 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-10 │ 2022-02-08 │ ACLX │ Arcellx, Inc. │ Sr One Capital │ 10% │ P - Purchase │ $15.00 │ +1,666,667 │ 2,033,196 │ +455% │ +$25,000,005 │ │ │ 08:41:09 │ │ │ │ Management, LLC │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-11 │ 2022-02-09 │ ARMP │ Armata │ Innoviva, Inc. │ Dir, 10% │ P - Purchase │ $5.00 │ +3,614,792 │ 19,691,561 │ +22% │ +$18,073,960 │ │ │ 18:56:05 │ │ │ Pharmaceuticals, │ │ │ │ │ │ │ │ │ │ │ │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-15 │ 2022-02-11 │ AREN │ Arena Group │ B. Riley Financial, │ 10% │ P - Purchase │ $8.26 │ +1,977,982 │ 5,411,514 │ +58% │ +$16,329,921 │ │ │ 21:30:53 │ │ │ Holdings, Inc. │ Inc. │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-11 │ 2022-02-09 │ PFSI │ Pennymac Financial │ Nanji Farhad │ Dir │ P - Purchase │ $61.11 │ +204,018 │ 4,607,478 │ +5% │ +$12,466,937 │ │ │ 17:34:36 │ │ │ Services, Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-11 │ 2022-02-09 │ PFSI │ Pennymac Financial │ Mfn Partners, LP │ Dir │ P - Purchase │ $61.11 │ +204,018 │ 4,435,810 │ +5% │ +$12,466,937 │ │ │ 17:38:48 │ │ │ Services, Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ INDT │ Indus Realty Trust, │ Ccp Sbs Gp, LLC │ 10% │ P - Purchase │ $75.91 │ +90,492 │ 8,855 │ -111% │ +$6,869,060 │ │ │ 17:30:17 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ PFSI │ Pennymac Financial │ Mfn Partners, LP │ Dir │ P - Purchase │ $60.88 │ +95,982 │ 4,531,792 │ +2% │ +$5,843,238 │ │ │ 16:39:45 │ │ │ Services, Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ PFSI │ Pennymac Financial │ Nanji Farhad │ Dir │ P - Purchase │ $60.88 │ +95,982 │ 4,703,460 │ +2% │ +$5,843,238 │ │ │ 16:43:39 │ │ │ Services, Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-15 │ 2022-02-14 │ APRN │ Blue Apron Holdings, │ Sanberg Joseph N. │ 10% │ P - Purchase │ $14.00 │ +357,143 │ 6,935,469 │ +5% │ +$5,000,002 │ │ │ 17:00:42 │ │ │ Inc. │ │ │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴──────────────────────┴─────────────────────┴────────────┴──────────────┴────────┴────────────┴────────────┴──────────┴──────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":652,"href":"/OpenBBTerminal/terminal/stocks/insider/tipt/","title":"Tipt","parent":"Insider","content":"usage: tipt [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print top insider purchases of the day. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 08:18 (✨) /stocks/ins/ $ tipt Insider Data ┏━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━┩ │ M │ 2022-02-16 │ 2022-02-09 │ ZIVO │ Zivo Bioscience, │ Maggiore Christopher │ Dir, 10% │ P - Purchase │ $3.72 │ +91,334 │ 803,105 │ +13% │ +$340,098 │ │ │ 06:02:09 │ │ │ Inc. │ D. │ │ │ │ │ │ │ │ └───┴─────────────┴────────────┴────────┴──────────────────┴──────────────────────┴──────────┴──────────────┴───────┴─────────┴─────────┴──────────┴───────────┘ M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":653,"href":"/OpenBBTerminal/terminal/stocks/insider/tispm/","title":"Tispm","parent":"Insider","content":"usage: tispm [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print top insider sales of the month. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 08:18 (✨) /stocks/ins/ $ tispm Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ │ D │ 2022-02-08 │ 2022-02-04 │ BKR │ Baker Hughes Co │ General Electric Co │ 10% │ S - Sale+OE │ $25.98 │ -50,097,840 │ 116,548,079 │ -30% │ -$1,301,541,883 │ │ │ 06:12:02 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────────┼─────────────┼──────────┼─────────────────┤ │ M │ 2022-02-14 │ 2021-03-10 │ RBLX │ Roblox Corp │ Index Ventures │ 10% │ S - Sale │ $67.38 │ -3,885,536 │ 49,220,602 │ -7% │ -$261,800,110 │ │ │ 09:14:09 │ │ │ │ Growth III (Jersey), │ │ │ │ │ │ │ │ │ │ │ │ │ │ L.P. │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────────┼─────────────┼──────────┼─────────────────┤ │ D │ 2022-02-11 │ 2022-02-10 │ EL │ Estee Lauder │ Lauder Ronald S │ COB, │ S - Sale+OE │ $307.08 │ -700,000 │ 6,364 │ -99% │ -$214,956,000 │ │ │ 15:35:52 │ │ │ Companies Inc │ │ Clinique │ │ │ │ │ │ │ │ │ │ │ │ │ │ Labs, LLC, │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────────┼─────────────┼──────────┼─────────────────┤ │ M │ 2022-02-09 │ 2022-02-07 │ MA │ Mastercard Inc │ Mastercard │ 10% │ S - Sale │ $378.65 │ -465,180 │ 104,936,251 │ 0% │ -$176,139,632 │ │ │ 16:40:01 │ │ │ │ Foundation │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────────┼─────────────┼──────────┼─────────────────┤ │ M │ 2022-02-14 │ 2022-02-10 │ MA │ Mastercard Inc │ Mastercard │ 10% │ S - Sale │ $375.58 │ -465,180 │ 104,471,071 │ 0% │ -$174,712,785 │ │ │ 16:57:44 │ │ │ │ Foundation │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────────┼─────────────┼──────────┼─────────────────┤ │ D │ 2022-02-07 │ 2022-02-03 │ MGY │ Magnolia Oil \u0026amp; Gas │ Enervest, Ltd. │ Dir, 10% │ S - Sale+OE │ $21.00 │ -7,455,815 │ 16,282,900 │ -31% │ -$156,572,115 │ │ │ 21:24:38 │ │ │ Corp │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────────┼─────────────┼──────────┼─────────────────┤ │ D │ 2022-02-07 │ 2022-02-03 │ MGY │ Magnolia Oil \u0026amp; Gas │ Walker John B │ Dir, 10% │ S - Sale+OE │ $21.00 │ -7,455,815 │ 16,879,220 │ -31% │ -$156,572,115 │ │ │ 21:23:37 │ │ │ Corp │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────────┼─────────────┼──────────┼─────────────────┤ │ D │ 2022-01-19 │ 2022-01-14 │ NXST │ Nexstar Media Group, │ Sook Perry A │ CEO │ S - Sale+OE │ $170.10 │ -352,703 │ 1,395,738 │ -20% │ -$59,995,168 │ │ │ 12:23:49 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────────┼─────────────┼──────────┼─────────────────┤ │ AD │ 2022-02-07 │ 2022-02-01 │ AXP │ American Express Co │ Squeri Stephen J │ COB, CEO │ S - Sale+OE │ $178.60 │ -267,656 │ 246,354 │ -52% │ -$47,804,524 │ │ │ 18:18:36 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼─────────┼─────────────┼─────────────┼──────────┼─────────────────┤ │ D │ 2022-02-02 │ 2022-02-01 │ AXP │ American Express Co │ Squeri Stephen J │ COB, CEO │ S - Sale+OE │ $178.60 │ -267,656 │ 246,353 │ -52% │ -$47,804,524 │ │ │ 17:16:49 │ │ │ │ │ │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴──────────────────────┴──────────────────────┴────────────┴─────────────┴─────────┴─────────────┴─────────────┴──────────┴─────────────────┘ A: Amended filing D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":654,"href":"/OpenBBTerminal/terminal/stocks/insider/tispw/","title":"Tispw","parent":"Insider","content":"usage: tispw [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print top insider sales of the week. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 08:20 (✨) /stocks/ins/ $ tispw Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ │ M │ 2022-02-14 │ 2021-03-10 │ RBLX │ Roblox Corp │ Index Ventures │ 10% │ S - Sale │ $67.38 │ -3,885,536 │ 49,220,602 │ -7% │ -$261,800,110 │ │ │ 09:14:09 │ │ │ │ Growth III (Jersey), │ │ │ │ │ │ │ │ │ │ │ │ │ │ L.P. │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼───────────┼────────────┼─────────────┼──────────┼───────────────┤ │ D │ 2022-02-11 │ 2022-02-10 │ EL │ Estee Lauder │ Lauder Ronald S │ COB, │ S - Sale+OE │ $307.08 │ -700,000 │ 6,364 │ -99% │ -$214,956,000 │ │ │ 15:35:52 │ │ │ Companies Inc │ │ Clinique │ │ │ │ │ │ │ │ │ │ │ │ │ │ Labs, LLC, │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼───────────┼────────────┼─────────────┼──────────┼───────────────┤ │ M │ 2022-02-14 │ 2022-02-10 │ MA │ Mastercard Inc │ Mastercard │ 10% │ S - Sale │ $375.58 │ -465,180 │ 104,471,071 │ 0% │ -$174,712,785 │ │ │ 16:57:44 │ │ │ │ Foundation │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼───────────┼────────────┼─────────────┼──────────┼───────────────┤ │ D │ 2022-02-11 │ 2022-02-09 │ GOOG │ Alphabet Inc. │ Brin Sergey │ Dir, 10% │ S - Sale+OE │ $3,222.87 │ -13,010 │ 879 │ -94% │ -$41,929,493 │ │ │ 12:12:28 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼───────────┼────────────┼─────────────┼──────────┼───────────────┤ │ D │ 2022-02-11 │ 2022-02-09 │ GOOG │ Alphabet Inc. │ Brin Sergey │ Dir, 10% │ S - Sale+OE │ $2,822.51 │ -14,768 │ 18,670,368 │ 0% │ -$41,682,866 │ │ │ 12:14:06 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼───────────┼────────────┼─────────────┼──────────┼───────────────┤ │ D │ 2022-02-10 │ 2022-02-08 │ GOOG │ Alphabet Inc. │ Brin Sergey │ Dir, 10% │ S - Sale+OE │ $2,720.42 │ -10,864 │ 3,025 │ -78% │ -$29,554,666 │ │ │ 17:05:02 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼───────────┼────────────┼─────────────┼──────────┼───────────────┤ │ M │ 2022-02-11 │ 2022-02-09 │ ARES │ Ares Management Corp │ Arougheti Michael J │ Co- │ S - Sale │ $81.02 │ -364,590 │ 1,640,867 │ -18% │ -$29,537,725 │ │ │ 20:25:29 │ │ │ │ │ Founder, │ │ │ │ │ │ │ │ │ │ │ │ │ │ CEO, Pres │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼───────────┼────────────┼─────────────┼──────────┼───────────────┤ │ AD │ 2022-02-10 │ 2021-11-03 │ BB │ Blackberry Ltd │ Chen John S │ Exec COB, │ S - Sale+OE │ $11.14 │ -2,222,844 │ 6,002,344 │ -27% │ -$24,762,482 │ │ │ 17:09:01 │ │ │ │ │ CEO │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼───────────┼────────────┼─────────────┼──────────┼───────────────┤ │ M │ 2022-02-10 │ 2021-11-19 │ DUOL │ Duolingo, Inc. │ Capitalg 2014 LP │ 10% │ S - Sale │ $133.27 │ -151,954 │ 137,258 │ -53% │ -$20,250,618 │ │ │ 16:42:12 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼──────────────────────┼────────────┼─────────────┼───────────┼────────────┼─────────────┼──────────┼───────────────┤ │ M │ 2022-02-14 │ 2022-02-10 │ ZI │ Zoominfo │ Carlyle Group Inc. │ 10% │ S - Sale │ $58.16 │ -327,235 │ 43,914,747 │ -1% │ -$19,030,502 │ │ │ 16:06:35 │ │ │ Technologies Inc. │ │ │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴──────────────────────┴──────────────────────┴────────────┴─────────────┴───────────┴────────────┴─────────────┴──────────┴───────────────┘ A: Amended filing D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":655,"href":"/OpenBBTerminal/terminal/stocks/insider/tist/","title":"Tist","parent":"Insider","content":"usage: tist [-n NUM] [-h] Today\u0026rsquo;s top insider dispositions. Source: http://openinsider.com\noptional arguments: -n NUM, --num NUM Number of datarows to display (default: 20) -h, --help show this help message (default: False) "},{"id":656,"href":"/OpenBBTerminal/terminal/stocks/insider/toppm/","title":"Toppm","parent":"Insider","content":"usage: toppm [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print top officer purchases of the month. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 08:23 (✨) /stocks/ins/ $ toppm Insider Data ┏━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ M │ 2022-02-11 │ 2022-02-09 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $63.20 │ +1,250,000 │ 21,986,722 │ +6% │ +$79,005,992 │ │ │ 18:50:54 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼─────────────────────┼─────────────────────┼────────────┼──────────────┼─────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-01-21 │ 2022-01-19 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $54.38 │ +1,250,000 │ 18,236,722 │ +7% │ +$67,971,300 │ │ │ 20:10:14 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼─────────────────────┼─────────────────────┼────────────┼──────────────┼─────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-01-28 │ 2022-01-26 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $48.97 │ +1,250,000 │ 19,486,722 │ +7% │ +$61,206,304 │ │ │ 19:49:05 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼─────────────────────┼─────────────────────┼────────────┼──────────────┼─────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-04 │ 2022-02-02 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $48.15 │ +1,250,000 │ 20,736,722 │ +6% │ +$60,187,048 │ │ │ 17:49:06 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼─────────────────────┼─────────────────────┼────────────┼──────────────┼─────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-01-18 │ 2022-01-13 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $63.57 │ +750,000 │ 16,986,722 │ +5% │ +$47,678,117 │ │ │ 18:33:06 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼─────────────────────┼─────────────────────┼────────────┼──────────────┼─────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-01-28 │ 2022-01-27 │ NFLX │ Netflix Inc │ Hastings Reed │ Co-CEO │ P - Purchase │ $388.83 │ +51,440 │ 5,158,941 │ +1% │ +$20,001,609 │ │ │ 19:25:13 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼─────────────────────┼─────────────────────┼────────────┼──────────────┼─────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-07 │ 2022-02-03 │ LDI │ Loandepot, Inc. │ Hsieh Anthony Li │ CEO, 10% │ P - Purchase │ $3.68 │ +1,584,611 │ 3,061,782 │ +107% │ +$5,832,930 │ │ │ 17:01:16 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼─────────────────────┼─────────────────────┼────────────┼──────────────┼─────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-01-24 │ 2022-01-20 │ TETE │ Technology \u0026amp; │ Ng Tek Che │ CEO, 10% │ P - Purchase │ $10.00 │ +532,500 │ 3,407,500 │ +19% │ +$5,325,000 │ │ │ 21:53:22 │ │ │ Telecommunication │ │ │ │ │ │ │ │ │ │ │ │ │ │ Acquisition Corp │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼─────────────────────┼─────────────────────┼────────────┼──────────────┼─────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ NMRK │ Newmark Group, Inc. │ Lutnick Howard W │ COB, 10% │ P - Purchase │ $17.21 │ +277,000 │ 14,009,707 │ +2% │ +$4,767,220 │ │ │ 17:17:30 │ │ │ │ │ │ │ │ │ │ │ │ ├───┼─────────────┼────────────┼────────┼─────────────────────┼─────────────────────┼────────────┼──────────────┼─────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-01-31 │ 2022-01-27 │ VCNX │ Vaccinex, Inc. │ Zauderer Maurice │ Pres, CEO │ P - Purchase │ $1.11 │ +1,801,801 │ 3,502,672 │ +106% │ +$1,999,999 │ │ │ 16:23:00 │ │ │ │ │ │ │ │ │ │ │ │ └───┴─────────────┴────────────┴────────┴─────────────────────┴─────────────────────┴────────────┴──────────────┴─────────┴────────────┴────────────┴──────────┴──────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":657,"href":"/OpenBBTerminal/terminal/stocks/insider/toppw/","title":"Toppw","parent":"Insider","content":"usage: toppw [-l LIMIT] [-h] [--export {csv,json,xlsx}] Print top officer purchases of the week. [Source: OpenInsider]\noptional arguments: -l LIMIT, --limit LIMIT Limit of datarows to display (default: 10) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 08:23 (✨) /stocks/ins/ $ toppw Insider Data ┏━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ X ┃ Filing Date ┃ Trade Date ┃ Ticker ┃ Company Name ┃ Insider Name ┃ Title ┃ Trade Type ┃ Price ┃ Qty ┃ Owned ┃ Diff Own ┃ Value ┃ ┡━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ M │ 2022-02-11 │ 2022-02-09 │ ASAN │ Asana, Inc. │ Moskovitz Dustin A. │ Pres, CEO, │ P - Purchase │ $63.20 │ +1,250,000 │ 21,986,722 │ +6% │ +$79,005,992 │ │ │ 18:50:54 │ │ │ │ │ Chair, 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-11 │ NMRK │ Newmark Group, Inc. │ Lutnick Howard W │ COB, 10% │ P - Purchase │ $17.21 │ +277,000 │ 14,009,707 │ +2% │ +$4,767,220 │ │ │ 17:17:30 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-14 │ 2022-02-10 │ NXDT │ Nexpoint Diversified │ Dondero James D │ See │ P - Purchase │ $15.05 │ +83,825 │ 5,681,792 │ +1% │ +$1,261,481 │ │ │ 18:26:27 │ │ │ Real Estate Trust │ │ Remarks, │ │ │ │ │ │ │ │ │ │ │ │ │ │ 10% │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ M │ 2022-02-15 │ 2022-02-14 │ TWOU │ 2U, Inc. │ Chernis Mark │ COO │ P - Purchase │ $9.29 │ +43,482 │ 349,939 │ +14% │ +$403,886 │ │ │ 20:47:47 │ │ │ │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-11 │ 2022-02-09 │ LOB │ Live Oak Bancshares, │ Losch William C III │ CFO │ P - Purchase │ $63.74 │ +6,250 │ 9,750 │ +179% │ +$398,382 │ │ │ 18:26:14 │ │ │ Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ DM │ 2022-02-14 │ 2022-02-11 │ FLXS │ Flexsteel Industries │ Schmidt Derek P │ CFO, COO │ P - Purchase │ $22.38 │ +17,111 │ 174,275 │ +11% │ +$382,859 │ │ │ 13:09:00 │ │ │ Inc │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-14 │ 2022-02-14 │ SKYX │ Sql Technologies │ Campi John P. │ CEO │ P - Purchase │ $14.00 │ +14,285 │ 1,184,285 │ +1% │ +$199,990 │ │ │ 12:56:34 │ │ │ Corp. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-11 │ 2022-02-10 │ GHM │ Graham Corp │ Smith Alan E │ VP, GM - │ P - Purchase │ $9.10 │ +8,000 │ 59,163 │ +16% │ +$72,800 │ │ │ 15:02:12 │ │ │ │ │ Batavia │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-14 │ 2022-02-14 │ CFFN │ Capitol Federal │ Haag Natalie G. │ EVP │ P - Purchase │ $10.96 │ +670 │ 85,102 │ +1% │ +$7,343 │ │ │ 14:57:26 │ │ │ Financial, Inc. │ │ │ │ │ │ │ │ │ ├────┼─────────────┼────────────┼────────┼──────────────────────┼─────────────────────┼────────────┼──────────────┼────────┼────────────┼────────────┼──────────┼──────────────┤ │ D │ 2022-02-15 │ 2022-02-15 │ CFFN │ Capitol Federal │ Haag Natalie G. │ EVP │ P - Purchase │ $11.10 │ +545 │ 85,647 │ +1% │ +$6,050 │ │ │ 13:11:41 │ │ │ Financial, Inc. │ │ │ │ │ │ │ │ │ └────┴─────────────┴────────────┴────────┴──────────────────────┴─────────────────────┴────────────┴──────────────┴────────┴────────────┴────────────┴──────────┴──────────────┘ D: Derivative transaction in filing (usually option exercise) M: Multiple transactions in filing; earliest reported transaction date \u0026amp; weighted average transaction price "},{"id":658,"href":"/OpenBBTerminal/terminal/stocks/insider/topt/","title":"Topt","parent":"Insider","content":"usage: topt [-n NUM] [-h] Corporate officer acquisitions today. Source: http://openinsider.com\noptional arguments: -n NUM, --num NUM Number of datarows to display (default: 20) -h, --help show this help message (default: False) "},{"id":659,"href":"/OpenBBTerminal/terminal/stocks/insider/view/","title":"View","parent":"Insider","content":"usage: view [-p {Gold-Silver,Personal-Credit,Business-Services,Furniture,Mining,Brokers,Wholesale-Trade,Manufacturing,Nondurable-Goods,Legal,template,Construction,Retail-Trade,Hotels,Professional-Services,Guided-Missiles,Durable-Goods,Insurance-Agents,whales,Building-Materials,Closed-End-Funds,Utility-Communications,Ground-Freight,Lumber,Grocery,Electronics,Tobacco,Agriculture,Real-Estate,Agro-Chemicals,Credit-Industry,Railroads,Retail-Stores,Apparel,Insurance-Carriers,Investment-Offices,Banks,Restaurants,Pharmaceuticals,Health,Air-Transportation,Utility-Gas,Mortgages}] [-h] View available presets under presets folder. [Source: OpenInsider]\noptional arguments: -p {Gold-Silver,Personal-Credit,Business-Services,Furniture,Mining,Brokers,Wholesale-Trade,Manufacturing,Nondurable-Goods,Legal,template,Construction,Retail-Trade,Hotels,Professional-Services,Guided-Missiles,Durable-Goods,Insurance-Agents,whales,Building-Materials,Closed-End-Funds,Utility-Communications,Ground-Freight,Lumber,Grocery,Electronics,Tobacco,Agriculture,Real-Estate,Agro-Chemicals,Credit-Industry,Railroads,Retail-Stores,Apparel,Insurance-Carriers,Investment-Offices,Banks,Restaurants,Pharmaceuticals,Health,Air-Transportation,Utility-Gas,Mortgages}, --preset {Gold-Silver,Personal-Credit,Business-Services,Furniture,Mining,Brokers,Wholesale-Trade,Manufacturing,Nondurable-Goods,Legal,template,Construction,Retail-Trade,Hotels,Professional-Services,Guided-Missiles,Durable-Goods,Insurance-Agents,whales,Building-Materials,Closed-End-Funds,Utility-Communications,Ground-Freight,Lumber,Grocery,Electronics,Tobacco,Agriculture,Real-Estate,Agro-Chemicals,Credit-Industry,Railroads,Retail-Stores,Apparel,Insurance-Carriers,Investment-Offices,Banks,Restaurants,Pharmaceuticals,Health,Air-Transportation,Utility-Gas,Mortgages} View specific preset -h, --help show this help message See available options:\n2022 Feb 16, 08:27 (✨) /stocks/ins/ $ view PRESET: Gold-Silver Gold and Silver Producers - Last 3 Months - All Transactions PRESET: Personal-Credit Personal Credit - Last 3 Months - All Transactions PRESET: Business-Services B2B Services Industry - Last 3 Months - All Transactions PRESET: Furniture Furniture Producers - Last 3 Months - All Transactions PRESET: Mining Mining Industry - Last 3 Months - All Transactions PRESET: Brokers Security and Commodity Brokers - Last 3 Months - All Transactions PRESET: Wholesale-Trade Whosesale Trade Industry - Last 3 Months - All Transactions PRESET: Manufacturing Manufacturing Industry - Last 3 Months - All Transactions PRESET: Nondurable-Goods Nondurable Goods Producers - Last 3 Months - All Transactions PRESET: Legal Legal Services Industry - Last 3 Months - All Transactions PRESET: template The user that adds the preset can add a description for what type of insiders this is meant. PRESET: Construction Construction Industry - Last 3 Months - All Transactions PRESET: Retail-Trade Retail Trade - Last 3 Months - All Transactions PRESET: Hotels Hotel Industry - Last 3 Months - All Transactions PRESET: Professional-Services Professional Services - Last 3 Months - All Transactions PRESET: Guided-Missiles Guided Missile Industry - Last 3 Months - All Transactions PRESET: Durable-Goods Durable Goods Producers - Last 3 Months - All Transactions PRESET: Insurance-Agents Insurance Agents - Last 3 Months - All Transactions PRESET: whales Tries to catch whales that have traded a minimum of 100M$ with a stock with a minimum share price of 20$ in the past 2 weeks. PRESET: Building-Materials Building Materials Industry - Last 3 Months - All Transactions PRESET: Closed-End-Funds Closed-End Funds - Last 3 Months - All Transactions PRESET: Utility-Communications Communications Utilities - Last 3 Months - All Transactions PRESET: Ground-Freight Ground Freight - Last 3 Months - All Transactions PRESET: Lumber Lumber Industry - Last 3 Months - All Transactions PRESET: Grocery Grocery Industry - Last 3 Months - All Transactions PRESET: Electronics Electronics Components Producers - Last 3 Months - All Transactions PRESET: Tobacco Tobacco Industry - Last 3 Months - All Transactions PRESET: Agriculture Agriculture Services Industry - Last 3 Months - All Transactions PRESET: Real-Estate Real Estate - Last 3 Months - All Transactions PRESET: Agro-Chemicals Agriculture Services Industry - Last 3 Months - All Transactions PRESET: Credit-Industry Credit Industry - Last 3 Months - All Transactions PRESET: Railroads Railroads - Last 3 Months - All Transactions PRESET: Retail-Stores Retail Stores - Last 3 Months - All Transactions PRESET: Apparel Apparel Industry - Last 3 Months - All Transactions PRESET: Insurance-Carriers Insurance Carriers - Last 3 Months - All Transactions PRESET: Investment-Offices Investment Offices - Last 3 Months - All Transactions PRESET: Banks Banks - Last 3 Months - All Transactions PRESET: Restaurants Restaurants - Last 3 Months - All Transactions PRESET: Pharmaceuticals Pharmaceuticals - Last 3 Months - All Transactions PRESET: Health Health Services Industry - Last 3 Months - All Transactions PRESET: Air-Transportation Air Transportation - Last 3 Months - All Transactions PRESET: Utility-Gas Gas Utilities - Last 3 Months - All Transactions PRESET: Mortgages Mortgage Industry - Last 3 Months - All Transactions "},{"id":660,"href":"/OpenBBTerminal/terminal/stocks/load/","title":"Load","parent":"Introduction to Stocks","content":"usage: load [-t TICKER] [-s START] [-e END] [-i {1,5,15,30,60}] [--source {yf,av,iex}] [-p] [-f {Test.csv}] [-m] [-w] [-r {ytd,1y,2y,5y,6m}] [-h] Load a symbol to perform analysis using the string above as a template. Optional arguments and their descriptions are listed below.\nThe default source is, yFinance (https://pypi.org/project/yfinance/). Alternatively, one may select either AlphaVantage (https://www.alphavantage.co/documentation/) or IEX Cloud (https://iexcloud.io/docs/api/) as the data source for the analysis. Please note that certain analytical features are exclusive to the source.\nTo load a symbol from an exchange outside of the NYSE/NASDAQ default, use yFinance as the source and add the corresponding exchange to the end of the symbol. i.e. \u0026lsquo;BNS.TO\u0026rsquo;.\nBNS is a dual-listed stock, there are separate options chains and order books for each listing. Opportunities for arbitrage may arise from momentary pricing discrepancies between listings with a dynamic exchange rate as a second order opportunity in ForEx spreads.\nFind the full list of supported exchanges here: https://help.yahoo.com/kb/exchanges-data-providers-yahoo-finance-sln2310.html\nCertain analytical features, such as VWAP, require the ticker to be loaded as intraday using the \u0026lsquo;-i x\u0026rsquo; argument. When encountering this error, simply reload the symbol using the interval argument. i.e. \u0026lsquo;load -t BNS -s YYYY-MM-DD -i 1 -p\u0026rsquo; loads one-minute intervals, including Pre/After Market data, using the default source, yFinance.\nCertain features, such as the Prediction menu, require the symbol to be loaded as daily and not intraday.\noptional arguments: optional arguments: -t TICKER, --ticker TICKER Stock ticker (default: None) -s START, --start START The starting date (format YYYY-MM-DD) of the stock (default: 2019-03-12) -e END, --end END The ending date (format YYYY-MM-DD) of the stock (default: 2022-03-16) -i {1,5,15,30,60}, --interval {1,5,15,30,60} Intraday stock minutes (default: 1440) --source {yf,av,iex} Source of historical data. (default: yf) -p, --prepost Pre/After market hours. Only works for 'yf' source, and intraday data (default: False) -f {Test.csv}, --file {Test.csv} Path to load custom file. (default: None) -m, --monthly Load monthly data (default: False) -w, --weekly Load weekly data (default: False) -r {ytd,1y,2y,5y,6m}, --iexrange {ytd,1y,2y,5y,6m} Range for using the iexcloud api. Note that longer range requires more tokens in account (default: ytd) -h, --help show this help message (default: False) Note that loading monthly and weekly data are limited to yahoo finance, and monthly data has displayed issues where older data just downloads as nan.\nLoading a custom file looks in the folder custom_imports/stocks and is currently only designed for csv files.\nExample:\n2022 Feb 16, 08:29 (✨) /stocks/ $ load TSLA Loading Daily TSLA stock with starting period 2019-02-11 for analysis. Datetime: 2022 Feb 16 08:30 Timezone: America/New_York Currency: USD Market: OPEN 2022 Feb 16, 08:30 (✨) /stocks/ $ load AAPL Loading Daily AAPL stock with starting period 2019-02-11 for analysis. Datetime: 2022 Feb 16 08:30 Timezone: America/New_York Currency: USD Market: OPEN 2022 Feb 16, 08:30 (✨) /stocks/ $ load AMZN Loading Daily AMZN stock with starting period 2019-02-11 for analysis. Datetime: 2022 Feb 16 08:30 Timezone: America/New_York Currency: USD Market: OPEN "},{"id":661,"href":"/OpenBBTerminal/terminal/stocks/news/","title":"News","parent":"Introduction to Stocks","content":"usage: news [-n N_NUM] [-d N_START_DATE] [-o] [-s SOURCES [SOURCES ...]] [-h] Using the loaded ticker, the \u0026lsquo;news\u0026rsquo; command will search articles and blogs with the News API where the ticker symbol or company name are mentioned. Searches are limited to the past thirty days when using the free API key available. Searches may bring unwanted results when the ticker or business name contains words used as the Dictionary defines. Optional arguments can be added to the command string as described below.\noptional arguments: -n N_NUM, --num N_NUM Number of latest news being printed. -d N_START_DATE, --date N_START_DATE The starting date (format YYYY-MM-DD) to search articles from -o, --oldest Show oldest articles first -s SOURCES [SOURCES ...], --sources SOURCES [SOURCES ...] Show news only from the sources specified (e.g bbc yahoo.com) -h, --help show this help message Example:\n2022 Feb 16, 08:33 (✨) /stocks/ $ news 256 news articles for Amazon.com,+Inc. were found since 2022-02-09 2022-02-16 13:06:33 ViacomCBS renames itself Paramount https://www.livemint.com/industry/media/viacomcbs-renames-itself-paramount-11645016266083.html 2022-02-16 13:00:34 Low-code development startup Genesis raises $200M round led by Tiger Global https://siliconangle.com/2022/02/16/low-code-development-startup-genesis-raises-200m-round-led-tiger-global/ 2022-02-16 12:45:00 Ireland Prepaid Card and Digital Wallet Market Report 2022: Market is Expected to Record a CAGR of 10.9%, Increasing from US$2.74 Billion in 2022 to Reach US$4.15 Billion by 2026 https://www.prnewswire.com/news-releases/ireland-prepaid-card-and-digital-wallet-market-report-2022-market-is-expected-to-record-a-cagr-of-10-9-increasing-from-us2-74-billion-in-2022-to-reach-us4-15-billion-by-2026--301483505.html 2022-02-16 12:45:00 Ireland Prepaid Card and Digital Wallet Market Report 2022: Market is Expected to Record a CAGR of 10.9%, Increasing from US$2.74 Billion in 2022 to Reach US$4.15 Billion by 2026 https://finance.yahoo.com/news/ireland-prepaid-card-digital-wallet-124500072.html 2022-02-16 12:38:49 Futures largely flat ahead of retail sales data, Fed minutes https://www.reuters.com/business/futures-largely-flat-ahead-retail-sales-data-fed-minutes-2022-02-16/ "},{"id":662,"href":"/OpenBBTerminal/terminal/stocks/options/binom/","title":"Binom","parent":"Introduction to the Options Menu","content":"usage: binom [-s STRIKE] [-p] [-e] [-x] [--plot] [-v VOLATILITY] [-h] Shows the value of an option using binomial option pricing. Can also show raw data and provide a graph with predicted underlying asset ending values. The binomial options model calculates how big an up step or down step in the next time period will likely be. Then it creates a tree doing this at each period. The end results of this is a tree with possible asset values at each \u0026ldquo;step\u0026rdquo;. For our calculations we use a day as our \u0026ldquo;step\u0026rdquo; time period. We then take all of the expected values at the finishing date and use this to begin a tree of option values at each step. The ending results is the value of the option today.\nThe up step is calculated by taking e to the power of volatility times the square root of the change in time during the step. This is the percentage we expect the stock to increase if there is an upward movement. The down step is the inverse of the up step. The probability of the up step is calculated by taking e to the power of the risk free rate minus the dividend yield. This is multiplied by the change in time for the step and then subtracted by the expected downward movement. This number is then divided by the up step subtracted by then down step. The probability of a downward step is just one minus the probability of an upward step.\nFormulas: up_step = e ^ (volatility * (delta_t ^ (1 / 2))) down_step = 1 / up_step\nprob_up = (e ^ ((risk_free - div_yield) * delta_t) - down_step) / (up_step - down_step) prob_down = 1 - prob_up\noptional arguments: -s STRIKE, --strike STRIKE Strike price for option shown (default: 0) -p, --put Value a put instead of a call (default: False) -e, --european Value a European option instead of an American one (default: False) -x, --xlsx Export an excel spreadsheet with binomial pricing data (default: False) --plot Plot expected ending values (default: False) -v VOLATILITY, --volatility VOLATILITY Underlying asset annualized volatility. (None indicates that the historical volatility is being used) (default: None) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 08:40 (✨) /stocks/options/ $ binom -s 3100 -e --plot AMZN call at $3100.00 expiring on 2022-03-25 is worth $136.85 2022 Feb 16, 08:41 (✨) /stocks/options/ $ binom -s 3500 -p --plot AMZN put at $3500.00 expiring on 2022-03-25 is worth $389.72 "},{"id":663,"href":"/OpenBBTerminal/terminal/stocks/options/calc/","title":"Calc","parent":"Introduction to the Options Menu","content":"usage: calc [--put] [--sell] [-s STRIKE] [-p PREMIUM] [-m MIN] [-M MAX] [-h] Calculate profit or loss for given option settings.\noptional arguments: --put Flag to calculate put option (default: False) --sell Flag to get profit chart of selling contract (default: False) -s STRIKE, --strike STRIKE Option strike price (default: 10) -p PREMIUM, --premium PREMIUM Premium price (default: 1) -m MIN, --min MIN Min price to look at (default: -1) -M MAX, --max MAX Max price to look at (default: -1) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 08:45 (✨) /stocks/options/ $ calc -s 30 -p 6 -m 1 -M 50 Strike: $30.0 Premium: $6.0 Breakeven price: $36.0 Max profit: Unlimited Max loss: $-600.0 "},{"id":664,"href":"/OpenBBTerminal/terminal/stocks/options/chains/","title":"Chains","parent":"Introduction to the Options Menu","content":"usage: chains [-c] [-p] [-m MIN_SP] [-M MAX_SP] [-d TO_DISPLAY] [--export {csv,json,xlsx}] [-h] Display the option chain for the selected expiration using the variables as described below.\noptional arguments: -c, --calls Flag to show calls only (default: False) -p, --puts Flag to show puts only (default: False) -m MIN_SP, --min MIN_SP minimum strike price to consider. (default: -1) -M MAX_SP, --max MAX_SP maximum strike price to consider. (default: -1) -d TO_DISPLAY, --display TO_DISPLAY columns to look at. Columns can be: {bid, ask, strike, bidsize, asksize, volume, open_interest, delta, gamma, theta, vega, ask_iv, bid_iv, mid_iv} (default: ['mid_iv', 'vega', 'delta', 'gamma', 'theta', 'volume', 'open_interest', 'bid', 'ask']) --export {csv,json,xlsx} Export dataframe data to csv,json,xlsx file (default: ) -h, --help show this help message (default: False) "},{"id":665,"href":"/OpenBBTerminal/terminal/stocks/options/exp/","title":"Exp","parent":"Introduction to the Options Menu","content":"usage: exp [-i {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20}] [-d {2022-02-18,2022-02-25,2022-03-04,2022-03-11,2022-03-18,2022-03-25,2022-04-01,2022-04-14,2022-05-20,2022-06-17,2022-07-15,2022-08-19,2022-09-16,2022-10-21,2022-11-18,2022-12-16,2023-01-20,2023-03-17,2023-06-16,2023-09-15,2024-01-19,}] [-h] See and set the expiration dates.\noptional arguments: -i {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20}, --index {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20} Select index for expiry date. (default: -1) -d {2022-02-18,2022-02-25,2022-03-04,2022-03-11,2022-03-18,2022-03-25,2022-04-01,2022-04-14,2022-05-20,2022-06-17,2022-07-15,2022-08-19,2022-09-16,2022-10-21,2022-11-18,2022-12-16,2023-01-20,2023-03-17,2023-06-16,2023-09-15,2024-01-19,}, --date {2022-02-18,2022-02-25,2022-03-04,2022-03-11,2022-03-18,2022-03-25,2022-04-01,2022-04-14,2022-05-20,2022-06-17,2022-07-15,2022-08-19,2022-09-16,2022-10-21,2022-11-18,2022-12-16,2023-01-20,2023-03-17,2023-06-16,2023-09-15,2024-01-19,} Select date (YYYY-MM-DD) (default: ) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 08:50 (✨) /stocks/options/ $ exp Available expiry dates: 0. 2022-02-18 1. 2022-02-25 2. 2022-03-04 3. 2022-03-11 4. 2022-03-18 5. 2022-03-25 6. 2022-04-01 7. 2022-04-14 8. 2022-05-20 9. 2022-06-17 10. 2022-07-15 11. 2022-08-19 12. 2022-09-16 13. 2022-10-21 14. 2022-11-18 15. 2022-12-16 16. 2023-01-20 17. 2023-03-17 18. 2023-06-16 19. 2023-09-15 20. 2024-01-19 2022 Feb 16, 08:50 (✨) /stocks/options/ $ exp 7 Expiration set to 2022-04-14 "},{"id":666,"href":"/OpenBBTerminal/terminal/stocks/options/greeks/","title":"Greeks","parent":"Introduction to the Options Menu","content":"usage: greeks [-d DIVIDEND] [-r RISK_FREE] [-p] [-m MIN] [-M MAX] [-a--all] [-h] [--export {png,jpg,pdf,svg}] Greeks are used to show risks in the options market. Each Greek is an assumption of a relationship between the market and another variable.\noptional arguments: -d DIVIDEND, --div DIVIDEND The dividend continuous rate (default: 0) -r RISK_FREE, --risk-free RISK_FREE The risk free rate (default: None) -p, --put Whether the option is a put. (default: False) -m MIN, --min MIN Minimum strike price to show. (default: None) -M MAX, --max MAX Maximum strike price to show. (default: None) -a--all Whether to show all greeks. (default: False) -h, --help show this help message (default: False) --export {png,jpg,pdf,svg} Export figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 16, 08:52 (✨) /stocks/options/ $ greeks -a Greeks ┏━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━━┓ ┃ Strike ┃ Implied Vol ┃ Delta ┃ Gamma ┃ Vega ┃ Theta ┃ Rho ┃ Phi ┃ Charm ┃ Vanna ┃ Vomma ┃ ┡━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━━┩ │ 690.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 700.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 710.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 720.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 725.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 730.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 740.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 750.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 760.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 770.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 775.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 780.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 790.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 800.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 825.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 850.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 875.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 900.00 │ 0.00 │ 1.00 │ 0.00 │ 0.00 │ -0.00 │ 0.01 │ -0.01 │ 0.00 │ -0.00 │ -0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 925.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 950.00 │ 0.02 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 975.00 │ 0.03 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1000.00 │ 0.03 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1025.00 │ 0.06 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1050.00 │ 0.06 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1075.00 │ 0.06 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1100.00 │ 0.06 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1105.00 │ 0.06 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1110.00 │ 0.06 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1115.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1120.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1125.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1130.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1135.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1140.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1145.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1150.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1155.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1160.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1165.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1170.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1175.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1180.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1185.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1190.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1195.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1200.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1205.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1210.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1215.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1220.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1225.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1230.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1235.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1240.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1245.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1250.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1255.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1260.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1265.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1270.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1275.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1280.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1285.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1290.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1295.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1300.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1325.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1350.00 │ 0.13 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1375.00 │ 0.25 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1400.00 │ 0.25 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1425.00 │ 0.25 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1450.00 │ 0.25 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ ├─────────┼─────────────┼───────┼───────┼──────┼───────┼──────┼───────┼───────┼───────┼───────┤ │ 1475.00 │ 0.25 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ 0.00 │ -0.00 │ -0.00 │ 0.00 │ 0.00 │ └─────────┴─────────────┴───────┴───────┴──────┴───────┴──────┴───────┴───────┴───────┴───────┘ "},{"id":667,"href":"/OpenBBTerminal/terminal/stocks/options/grhist/","title":"Grhist","parent":"Introduction to the Options Menu","content":"usage: grhist [-s STRIKE] [-p] [-g {iv,gamma,theta,vega,delta,rho,premium}] [-c CHAIN_ID] [-r] [-l LIMIT] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Plot historical option greeks by strike price for the loaded ticker.\noptional arguments: -s STRIKE, --strike STRIKE Strike price to look at (default: None) -p, --put Flag for showing put option (default: False) -g {iv,gamma,theta,vega,delta,rho,premium}, --greek {iv,gamma,theta,vega,delta,rho,premium} Greek column to select (default: delta) -c CHAIN_ID, --chain CHAIN_ID OCC option symbol (default: ) -r, --raw Display raw data (default: False) -l LIMIT, --limit LIMIT Limit of raw data rows to display (default: 20) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":668,"href":"/OpenBBTerminal/terminal/stocks/options/hedge/add/","title":"Add","parent":"Introduction to the Hedge Submenu","content":"usage: add [-p] [-s] [-i {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55}] [-h] Add options to the diagram.\noptional arguments: -p, --put Buy a put instead of a call -s, --short Short the option instead of buying it -i {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55}, --identifier {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55} The identifier of the option as found in the list command -h, --help show this help message Example:\n2022 May 10, 09:17 (🦋) /stocks/options/hedge/ $ add 25 ┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ ┃ Positions ┃ ┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━┩ │ Delta │ 1.00 │ ├────────────────────┼───────────┤ │ Gamma │ 7253.89 │ ├────────────────────┼───────────┤ │ Vega │ 0.14 │ ├────────────────────┼───────────┤ │ Implied Volatility │ 1.00e-05 │ ├────────────────────┼───────────┤ │ Strike Price │ 147.00 │ └────────────────────┴───────────┘ Current Option Positions ┏━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┓ ┃ Type ┃ Hold ┃ Strike ┃ Implied Volatility ┃ ┡━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩ │ Call │ Long │ 147.00 │ 1.00e-05 │ └──────┴──────┴────────┴────────────────────┘ 2022 May 10, 09:18 (🦋) /stocks/options/hedge/ $ add 30 ┏━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ ┃ Positions ┃ ┡━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━┩ │ Delta │ 3.67e-04 │ ├────────────────────┼───────────┤ │ Gamma │ 4.26e-04 │ ├────────────────────┼───────────┤ │ Vega │ 5.06e-05 │ ├────────────────────┼───────────┤ │ Implied Volatility │ 0.06 │ ├────────────────────┼───────────┤ │ Strike Price │ 155.00 │ └────────────────────┴───────────┘ Current Option Positions ┏━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┓ ┃ Type ┃ Hold ┃ Strike ┃ Implied Volatility ┃ ┡━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩ │ Call │ Long │ 147.00 │ 1.00e-05 │ ├──────┼──────┼────────┼────────────────────┤ │ Call │ Long │ 155.00 │ 0.06 │ └──────┴──────┴────────┴────────────────────┘ Adding two options will automaically calculate the Neutral Portfolio Weights:\n Neutral Portfolio Weights ┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┓ ┃ ┃ Positions ┃ ┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━┩ │ Weight Option A │ 0.00 │ ├─────────────────┼───────────┤ │ Weight Option B │ 0.00 │ ├─────────────────┼───────────┤ │ Weight Shares │ -136.00 │ └─────────────────┴───────────┘ "},{"id":669,"href":"/OpenBBTerminal/terminal/stocks/options/hedge/list/","title":"List","parent":"Introduction to the Hedge Submenu","content":"usage: list [-h] Lists available calls and puts. optional arguments: -h, --help show this help message Example:\n2022 May 10, 09:21 (🦋) /stocks/options/hedge/ $ list Available Calls and Puts ┏━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┓ ┃ Identifier ┃ Calls ┃ Puts ┃ ┡━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━┩ │ 0 │ 100.00 │ 100.00 │ ├────────────┼────────┼────────┤ │ 1 │ 110.00 │ 105.00 │ ├────────────┼────────┼────────┤ │ 2 │ 115.00 │ 110.00 │ ├────────────┼────────┼────────┤ │ 3 │ 120.00 │ 115.00 │ ├────────────┼────────┼────────┤ │ 4 │ 124.00 │ 120.00 │ ├────────────┼────────┼────────┤ │ 5 │ 125.00 │ 123.00 │ ├────────────┼────────┼────────┤ │ 6 │ 126.00 │ 124.00 │ ├────────────┼────────┼────────┤ │ 7 │ 127.00 │ 125.00 │ ├────────────┼────────┼────────┤ │ 8 │ 129.00 │ 126.00 │ ├────────────┼────────┼────────┤ │ 9 │ 130.00 │ 127.00 │ ├────────────┼────────┼────────┤ │ 10 │ 131.00 │ 128.00 │ ├────────────┼────────┼────────┤ │ 11 │ 132.00 │ 129.00 │ ├────────────┼────────┼────────┤ │ 12 │ 133.00 │ 130.00 │ ├────────────┼────────┼────────┤ │ 13 │ 134.00 │ 131.00 │ ├────────────┼────────┼────────┤ │ 14 │ 135.00 │ 132.00 │ ├────────────┼────────┼────────┤ │ 15 │ 137.00 │ 133.00 │ ├────────────┼────────┼────────┤ │ 16 │ 138.00 │ 134.00 │ ├────────────┼────────┼────────┤ │ 17 │ 139.00 │ 135.00 │ ├────────────┼────────┼────────┤ │ 18 │ 140.00 │ 136.00 │ ├────────────┼────────┼────────┤ │ 19 │ 141.00 │ 137.00 │ ├────────────┼────────┼────────┤ │ 20 │ 142.00 │ 138.00 │ ├────────────┼────────┼────────┤ │ 21 │ 143.00 │ 139.00 │ ├────────────┼────────┼────────┤ │ 22 │ 144.00 │ 140.00 │ ├────────────┼────────┼────────┤ │ 23 │ 145.00 │ 141.00 │ ├────────────┼────────┼────────┤ │ 24 │ 146.00 │ 142.00 │ ├────────────┼────────┼────────┤ │ 25 │ 147.00 │ 143.00 │ ├────────────┼────────┼────────┤ │ 26 │ 148.00 │ 144.00 │ ├────────────┼────────┼────────┤ │ 27 │ 149.00 │ 145.00 │ ├────────────┼────────┼────────┤ │ 28 │ 150.00 │ 146.00 │ ├────────────┼────────┼────────┤ │ 29 │ 152.50 │ 147.00 │ ├────────────┼────────┼────────┤ │ 30 │ 155.00 │ 148.00 │ ├────────────┼────────┼────────┤ │ 31 │ 157.50 │ 149.00 │ ├────────────┼────────┼────────┤ │ 32 │ 160.00 │ 150.00 │ ├────────────┼────────┼────────┤ │ 33 │ 162.50 │ 152.50 │ ├────────────┼────────┼────────┤ │ 34 │ 165.00 │ 155.00 │ ├────────────┼────────┼────────┤ │ 35 │ 167.50 │ 157.50 │ ├────────────┼────────┼────────┤ │ 36 │ 170.00 │ 160.00 │ ├────────────┼────────┼────────┤ │ 37 │ 172.50 │ 162.50 │ ├────────────┼────────┼────────┤ │ 38 │ 175.00 │ 165.00 │ ├────────────┼────────┼────────┤ │ 39 │ 177.50 │ 167.50 │ ├────────────┼────────┼────────┤ │ 40 │ 180.00 │ 170.00 │ ├────────────┼────────┼────────┤ │ 41 │ 182.50 │ 172.50 │ ├────────────┼────────┼────────┤ │ 42 │ 185.00 │ 175.00 │ ├────────────┼────────┼────────┤ │ 43 │ 187.50 │ 177.50 │ ├────────────┼────────┼────────┤ │ 44 │ 190.00 │ 180.00 │ ├────────────┼────────┼────────┤ │ 45 │ 195.00 │ 182.50 │ ├────────────┼────────┼────────┤ │ 46 │ 200.00 │ 185.00 │ ├────────────┼────────┼────────┤ │ 47 │ 205.00 │ 187.50 │ ├────────────┼────────┼────────┤ │ 48 │ 210.00 │ 190.00 │ ├────────────┼────────┼────────┤ │ 49 │ 215.00 │ 195.00 │ ├────────────┼────────┼────────┤ │ 50 │ 220.00 │ 200.00 │ ├────────────┼────────┼────────┤ │ 51 │ 225.00 │ 205.00 │ ├────────────┼────────┼────────┤ │ 52 │ 235.00 │ 210.00 │ ├────────────┼────────┼────────┤ │ 53 │ 240.00 │ 215.00 │ ├────────────┼────────┼────────┤ │ 54 │ 245.00 │ 220.00 │ ├────────────┼────────┼────────┤ │ 55 │ 250.00 │ 225.00 │ ├────────────┼────────┼────────┤ │ 56 │ - │ 230.00 │ ├────────────┼────────┼────────┤ │ 57 │ - │ 235.00 │ ├────────────┼────────┼────────┤ │ 58 │ - │ 250.00 │ └────────────┴────────┴────────┘ "},{"id":670,"href":"/OpenBBTerminal/terminal/stocks/options/hedge/pick/","title":"Pick","parent":"Introduction to the Hedge Submenu","content":"usage: long [-p PICK [PICK ...]] [-a AMOUNT] [-h] This function plots option hedge diagrams optional arguments: -p PICK [PICK ...], --pick PICK [PICK ...] Choose what you would like to pick (default: None) -a AMOUNT, --amount AMOUNT Choose the amount invested (default: 1000) -h, --help show this help message (default: False) Example\n2022 May 10, 09:21 (🦋) /stocks/options/hedge/ $ pick 170 Short Call -a 500 2022 May 10, 09:22 (🦋) /stocks/options/hedge/ $ help ╭──────────────────────Stocks - Options - Hedge ─────────────────────────╮ │ Ticker: | AAPL | │ Expiry: | 2022-05-13 | │ pick pick the underlying asset position │ │ Underlying Asset Position: Short Call 500 @ 170 │ │ list show the available strike prices for calls and puts │ add add an option to the list of options │ rmv remove an option from the list of options │ sop show selected options and neutral portfolio weights | ╰──────────────────────────────────────────────────────OpenBB Terminal ─╯ "},{"id":671,"href":"/OpenBBTerminal/terminal/stocks/options/hedge/rmv/","title":"Rmv","parent":"Introduction to the Hedge Submenu","content":"usage: rmv [-o OPTION [OPTION ...]] [-a] [-h] Remove one of the options to be shown in the hedge. optional arguments: -o OPTION [OPTION ...], --option OPTION [OPTION ...] index of the option to remove -a, --all remove all of the options -h, --help show this help message Example:\n2022 May 10, 09:32 (🦋) /stocks/options/hedge/ $ rmv Option A Current Option Positions ┏━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┓ ┃ Type ┃ Hold ┃ Strike ┃ Implied Volatility ┃ ┡━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩ │ Call │ Long │ 155.00 │ 0.06 │ └──────┴──────┴────────┴────────────────────┘ "},{"id":672,"href":"/OpenBBTerminal/terminal/stocks/options/hedge/sop/","title":"Sop","parent":"Introduction to the Hedge Submenu","content":"usage: sop [-h] Displays selected option optional arguments: -h, --help show this help message (default: False) Example:\n2022 May 10, 09:34 (🦋) /stocks/options/hedge/ $ add 20 Current Option Positions ┏━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┓ ┃ Type ┃ Hold ┃ Strike ┃ Implied Volatility ┃ ┡━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━┩ │ Call │ Long │ 142.00 │ 0.05 │ ├──────┼──────┼────────┼────────────────────┤ │ Call │ Long │ 155.00 │ 0.06 │ └──────┴──────┴────────┴────────────────────┘ "},{"id":673,"href":"/OpenBBTerminal/terminal/stocks/options/hist/","title":"Hist","parent":"Introduction to the Options Menu","content":"usage: hist -s STRIKE [-p] [-c CHAIN_ID] [-r] [--source {td,ce}] [-l LIMIT] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] The price history for a specified strike price from the loaded options chain.\noptional arguments: -s STRIKE, --strike STRIKE Strike price to look at (default: None) -p, --put Flag for showing put option (default: False) -c CHAIN_ID, --chain CHAIN_ID OCC option symbol (default: None) -r, --raw Display raw data (default: False) --source {td,ce} Choose Tradier(TD) or ChartExchange (CE), only affects raw data (default: ce) -l LIMIT, --limit LIMIT Limit of data rows to display (default: None) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 16, 09:07 (✨) /stocks/options/ $ hist -s 3300 -p AMZN raw data ┏━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┓ ┃ ┃ Date ┃ Open ┃ High ┃ Low ┃ Close ┃ Change ┃ Volume ┃ Open Interest ┃ Change Since ┃ ┡━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━┩ │ 0 │ 2022-02-11 │ 327.53 │ 386.93 │ 327.53 │ 386.93 │ 0.26 │ 6.00 │ 98.00 │ 0.00 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 1 │ 2022-02-10 │ 313.51 │ 313.51 │ 297.92 │ 307.95 │ 0.05 │ 6.00 │ 97.00 │ 0.26 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 2 │ 2022-02-09 │ 272.93 │ 292.00 │ 272.00 │ 292.00 │ 0.02 │ 7.00 │ 96.00 │ 0.33 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 3 │ 2022-02-08 │ 321.15 │ 321.15 │ 287.15 │ 287.15 │ -0.10 │ 17.00 │ 96.00 │ 0.35 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 4 │ 2022-02-07 │ 292.28 │ 319.55 │ 292.28 │ 319.55 │ 0.02 │ 7.00 │ 106.00 │ 0.21 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 5 │ 2022-02-04 │ 395.34 │ 395.34 │ 311.87 │ 311.90 │ -0.48 │ 14.00 │ 104.00 │ 0.24 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 6 │ 2022-02-03 │ 601.59 │ 601.59 │ 599.94 │ 599.94 │ 0.15 │ 2.00 │ 104.00 │ -0.36 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 7 │ 2022-01-27 │ 527.86 │ 527.93 │ 513.45 │ 520.77 │ -0.13 │ 62.00 │ 103.00 │ -0.26 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 8 │ 2022-01-25 │ 574.01 │ 598.50 │ 574.01 │ 598.50 │ 0.01 │ 5.00 │ 103.00 │ -0.35 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 9 │ 2022-01-24 │ 572.19 │ 617.00 │ 572.19 │ 593.00 │ 0.12 │ 8.00 │ 107.00 │ -0.35 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 10 │ 2022-01-21 │ 446.38 │ 532.21 │ 446.38 │ 531.03 │ 0.36 │ 16.00 │ 106.00 │ -0.27 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 11 │ 2022-01-20 │ 333.40 │ 389.75 │ 332.17 │ 389.75 │ 0.23 │ 13.00 │ 103.00 │ -0.01 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 12 │ 2022-01-19 │ 325.00 │ 325.00 │ 316.58 │ 316.58 │ -0.03 │ 11.00 │ 97.00 │ 0.22 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 13 │ 2022-01-18 │ 319.90 │ 325.00 │ 314.90 │ 325.00 │ 0.05 │ 5.00 │ 96.00 │ 0.19 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 14 │ 2022-01-14 │ 295.10 │ 310.09 │ 295.10 │ 310.09 │ 0.07 │ 2.00 │ 95.00 │ 0.25 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 15 │ 2022-01-13 │ 260.17 │ 290.68 │ 260.12 │ 290.68 │ 0.14 │ 38.00 │ 95.00 │ 0.33 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 16 │ 2022-01-12 │ 255.55 │ 255.55 │ 254.00 │ 254.00 │ -0.02 │ 3.00 │ 113.00 │ 0.52 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 17 │ 2022-01-11 │ 282.10 │ 282.10 │ 253.15 │ 258.89 │ -0.22 │ 28.00 │ 114.00 │ 0.49 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 18 │ 2022-01-10 │ 357.10 │ 365.85 │ 333.90 │ 333.90 │ 0.15 │ 8.00 │ 97.00 │ 0.16 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 19 │ 2022-01-07 │ 290.40 │ 290.40 │ 290.40 │ 290.40 │ 0.23 │ 41.00 │ 98.00 │ 0.33 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 20 │ 2022-01-04 │ 237.00 │ 237.00 │ 237.00 │ 237.00 │ -0.01 │ 1.00 │ 77.00 │ 0.63 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 21 │ 2021-12-28 │ 238.50 │ 238.50 │ 238.50 │ 238.50 │ 0.05 │ 1.00 │ 75.00 │ 0.62 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 22 │ 2021-12-23 │ 228.00 │ 228.00 │ 228.00 │ 228.00 │ -0.09 │ 1.00 │ 82.00 │ 0.70 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 23 │ 2021-12-21 │ 250.00 │ 250.00 │ 250.00 │ 250.00 │ -0.13 │ 1.00 │ 82.00 │ 0.55 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 24 │ 2021-12-20 │ 290.00 │ 297.00 │ 283.50 │ 289.00 │ 0.11 │ 17.00 │ 82.00 │ 0.34 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 25 │ 2021-12-17 │ 262.80 │ 262.80 │ 260.24 │ 260.51 │ 0.02 │ 7.00 │ 82.00 │ 0.49 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 26 │ 2021-12-16 │ 250.04 │ 256.42 │ 250.04 │ 256.42 │ 0.12 │ 3.00 │ 80.00 │ 0.51 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 27 │ 2021-12-15 │ 282.10 │ 288.62 │ 229.73 │ 229.73 │ -0.06 │ 16.00 │ 77.00 │ 0.68 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 28 │ 2021-12-13 │ 245.50 │ 245.50 │ 245.50 │ 245.50 │ 0.01 │ 1.00 │ 63.00 │ 0.58 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 29 │ 2021-12-10 │ 243.42 │ 243.42 │ 243.42 │ 243.42 │ 0.08 │ 2.00 │ 63.00 │ 0.59 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 30 │ 2021-12-07 │ 234.85 │ 234.85 │ 224.38 │ 224.45 │ -0.15 │ 3.00 │ 61.00 │ 0.72 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 31 │ 2021-12-06 │ 283.15 │ 285.20 │ 263.81 │ 263.81 │ -0.08 │ 14.00 │ 45.00 │ 0.47 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 32 │ 2021-12-03 │ 290.59 │ 293.03 │ 286.41 │ 286.81 │ 0.16 │ 20.00 │ 45.00 │ 0.35 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 33 │ 2021-11-30 │ 225.00 │ 246.50 │ 225.00 │ 246.50 │ 0.10 │ 3.00 │ 25.00 │ 0.57 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 34 │ 2021-11-23 │ 224.00 │ 224.00 │ 224.00 │ 224.00 │ 0.12 │ 1.00 │ 24.00 │ 0.73 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 35 │ 2021-11-22 │ 177.26 │ 200.50 │ 177.26 │ 200.50 │ 0.15 │ 2.00 │ 23.00 │ 0.93 │ ├────┼────────────┼────────┼────────┼────────┼────────┼────────┼────────┼───────────────┼──────────────┤ │ 36 │ 2021-11-19 │ 169.00 │ 174.20 │ 169.00 │ 174.20 │ 0.00 │ 22.00 │ 22.00 │ 1.22 │ └────┴────────────┴────────┴────────┴────────┴────────┴────────┴────────┴───────────────┴──────────────┘ "},{"id":674,"href":"/OpenBBTerminal/terminal/stocks/options/info/","title":"Info","parent":"Introduction to the Options Menu","content":"usage: info [-h] [--export {csv,json,xlsx}] Display option data [Source: Barchart.com]\noptional arguments: -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 09:09 (✨) /stocks/options/ $ info Options Information ┏━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ ┃ ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ Implied Volatility │ 31.27% ( -3.04%) │ ├───────────────────────┼─────────────────────────┤ │ Historical Volatility │ 54.71% │ ├───────────────────────┼─────────────────────────┤ │ IV Percentile │ 81% │ ├───────────────────────┼─────────────────────────┤ │ IV Rank │ 37.04% │ ├───────────────────────┼─────────────────────────┤ │ IV High │ 53.44% on 02/03/22 │ ├───────────────────────┼─────────────────────────┤ │ IV Low │ 18.22% on 08/27/21 │ ├───────────────────────┼─────────────────────────┤ │ Put/Call Vol Ratio │ 0.85 │ ├───────────────────────┼─────────────────────────┤ │ Today's Volume │ 143,740 │ ├───────────────────────┼─────────────────────────┤ │ Volume Avg (30-Day) │ 241,667 │ ├───────────────────────┼─────────────────────────┤ │ Put/Call OI Ratio │ 0.98 │ ├───────────────────────┼─────────────────────────┤ │ Today's Open Interest │ 582,975 │ ├───────────────────────┼─────────────────────────┤ │ Open Int (30-Day) │ 721,047 │ └───────────────────────┴─────────────────────────┘ "},{"id":675,"href":"/OpenBBTerminal/terminal/stocks/options/load/","title":"Load","parent":"Introduction to the Options Menu","content":"usage: load [-t TICKER] [-s {tr,yf}] [-h] Load a ticker into the Options menu\noptional arguments: -t TICKER, --ticker TICKER Stock ticker (default: None) -s {tr,yf}, --source {tr,yf} Source to get option expirations from (default: None) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 09:13 (✨) /stocks/options/ $ load TSLA 2022 Feb 16, 09:13 (✨) /stocks/options/ $ ? ╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Stocks - Options ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮ │ │ │ unu show unusual options activity [Fdscanner.com] │ │ calc basic call/put PnL calculator │ │ │ │ load load new ticker │ │ exp see and set expiration dates │ │ │ │ Ticker: TSLA │ │ Expiry: None │ │ │ │ pcr display put call ratio for ticker [AlphaQuery.com] │ │ info display option information (volatility, IV rank etc) [Barchart.com] │ │ chains display option chains with greeks [Tradier] │ │ oi plot open interest [Tradier/YFinance] │ │ vol plot volume [Tradier/YFinance] │ │ voi plot volume and open interest [Tradier/YFinance] │ │ hist plot option history [Tradier] │ │ vsurf show 3D volatility surface [Yfinance] │ │ grhist plot option greek history [Syncretism.io] │ │ plot plot variables provided by the user [Yfinance] │ │ parity shows whether options are above or below expected price [Yfinance] │ │ binom shows the value of an option using binomial options pricing [Yfinance] │ │ greeks shows the greeks for a given option [Yfinance] │ │ │ │ \u0026gt; screen screens tickers based on preset [Syncretism.io] │ │ \u0026gt; payoff shows payoff diagram for a selection of options [Yfinance] │ │ \u0026gt; pricing shows options pricing and risk neutral valuation [Yfinance] │ │ │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Gamestonk Terminal ─╯ "},{"id":676,"href":"/OpenBBTerminal/terminal/stocks/options/oi/","title":"Oi","parent":"Introduction to the Options Menu","content":"usage: oi [-m MIN] [-M MAX] [-c] [-p] [-s {tr,yf}] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Plot open interest. Open interest is the number of outstanding contracts, which typically represent one hundred shares.\noptional arguments: -m MIN, --min MIN Min strike to plot (default: -1) -M MAX, --max MAX Max strike to plot (default: -1) -c, --calls Flag to plot call options only (default: False) -p, --puts Flag to plot put options only (default: False) -s {tr,yf}, --source {tr,yf} Source to get data from (default: tr) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 16, 09:13 (✨) /stocks/options/ $ load SPY 2022 Feb 16, 09:14 (✨) /stocks/options/ $ exp 10 Expiration set to 2022-03-11 2022 Feb 16, 09:14 (✨) /stocks/options/ $ oi "},{"id":677,"href":"/OpenBBTerminal/terminal/stocks/options/parity/","title":"Parity","parent":"Introduction to the Options Menu","content":"usage: parity [-p] [-a] [-m MINI] [-M MAXI] [-h] [--export {csv,json,xlsx}] An advanced strategy that seeks arbitrage opportunites in put-call spreads relative to the forward underlying asset price; put-call parity defines the relationship between calls, puts and the underlying futures contract. This principle requires that the puts and calls are the same strike, same expiration and have the same underlying futures contract. The put call relationship is highly correlated, so if put call parity is violated, an arbitrage opportunity exists.\noptional arguments: -p, --put Shows puts instead of calls (default: False) -a, --ask Use ask price instead of lastPrice (default: False) -m MINI, --min MINI Minimum strike price shown (default: None) -M MAXI, --max MAXI Maximum strike price shown (default: None) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 09:17 (✨) /stocks/options/ $ load TSLA 2022 Feb 16, 09:18 (✨) /stocks/options/ $ parity -m 900 -M 950 Warning: Low volume options may be difficult to trade. ┏━━━━━━━━┳━━━━━━━━━━━━━━━━━┓ ┃ Strike ┃ Call Difference ┃ ┡━━━━━━━━╇━━━━━━━━━━━━━━━━━┩ │ 900.00 │ -3.49 │ ├────────┼─────────────────┤ │ 905.00 │ -3.37 │ ├────────┼─────────────────┤ │ 910.00 │ -4.09 │ ├────────┼─────────────────┤ │ 915.00 │ -1.39 │ ├────────┼─────────────────┤ │ 920.00 │ -2.34 │ ├────────┼─────────────────┤ │ 925.00 │ -2.65 │ ├────────┼─────────────────┤ │ 930.00 │ -2.46 │ ├────────┼─────────────────┤ │ 935.00 │ -5.14 │ ├────────┼─────────────────┤ │ 940.00 │ -3.89 │ ├────────┼─────────────────┤ │ 945.00 │ -8.08 │ ├────────┼─────────────────┤ │ 950.00 │ -3.23 │ └────────┴─────────────────┘ "},{"id":678,"href":"/OpenBBTerminal/terminal/stocks/options/payoff/","title":"Payoff","parent":"Introduction to the Options Menu","content":" Add List Pick Plot Rmv Sop "},{"id":679,"href":"/OpenBBTerminal/terminal/stocks/options/payoff/add/","title":"Add","parent":"Payoff","content":"usage: add [-p] [-s] [-i {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102}] [-h] Add specific options to the diagram.\noptional arguments: -p, --put buy a put instead of a call -s, --short short the option instead of buying it -i {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102}, --index {0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102} list index of the option -h, --help show this help message Example:\n2022 Feb 16, 09:23 (✨) /stocks/options/payoff/ $ add 3 # Type Hold Strike Cost 0 call Long 730.0 189.05 2022 Feb 16, 09:23 (✨) /stocks/options/payoff/ $ add 7 # Type Hold Strike Cost 0 call Long 730.0 189.05 1 call Long 780.0 141.96 2022 Feb 16, 09:23 (✨) /stocks/options/payoff/ $ add 15 # Type Hold Strike Cost 0 call Long 730.0 189.05 1 call Long 780.0 141.96 2 call Long 850.0 102.0 2022 Feb 16, 09:23 (✨) /stocks/options/payoff/ $ add 20 # Type Hold Strike Cost 0 call Long 730.0 189.05 1 call Long 780.0 141.96 2 call Long 850.0 102.0 3 call Long 875.0 89.4 "},{"id":680,"href":"/OpenBBTerminal/terminal/stocks/options/payoff/list/","title":"List","parent":"Payoff","content":"usage: list [-h] Lists available calls and puts.\noptional arguments: -h, --help show this help message Example:\n2022 Feb 16, 09:31 (✨) /stocks/options/payoff/ $ list # call put 0 600.0 200.0 1 700.0 250.0 2 720.0 300.0 3 730.0 350.0 4 740.0 400.0 5 750.0 450.0 6 760.0 500.0 7 780.0 550.0 8 800.0 600.0 9 810.0 650.0 10 820.0 700.0 11 825.0 710.0 12 830.0 720.0 13 835.0 730.0 14 840.0 740.0 15 850.0 750.0 16 855.0 755.0 17 860.0 760.0 18 865.0 765.0 19 870.0 770.0 20 875.0 775.0 21 880.0 780.0 22 885.0 785.0 23 890.0 790.0 24 895.0 795.0 25 900.0 800.0 26 905.0 805.0 27 910.0 810.0 28 915.0 815.0 29 920.0 820.0 30 925.0 825.0 31 930.0 830.0 32 935.0 835.0 33 940.0 840.0 34 945.0 845.0 35 950.0 850.0 36 955.0 855.0 37 960.0 860.0 38 965.0 865.0 39 970.0 870.0 40 975.0 875.0 41 980.0 880.0 42 985.0 885.0 43 990.0 890.0 44 995.0 895.0 45 1000.0 900.0 46 1005.0 905.0 47 1010.0 910.0 48 1015.0 915.0 49 1020.0 920.0 50 1025.0 925.0 51 1030.0 930.0 52 1035.0 935.0 53 1040.0 940.0 54 1045.0 945.0 55 1050.0 950.0 56 1055.0 955.0 57 1060.0 960.0 58 1065.0 965.0 59 1070.0 970.0 60 1075.0 975.0 61 1080.0 980.0 62 1090.0 985.0 63 1100.0 990.0 64 1110.0 995.0 65 1120.0 1000.0 66 1125.0 1010.0 67 1130.0 1015.0 68 1140.0 1020.0 69 1150.0 1025.0 70 1160.0 1030.0 71 1170.0 1045.0 72 1175.0 1050.0 73 1180.0 1060.0 74 1190.0 1065.0 75 1200.0 1070.0 76 1210.0 1080.0 77 1220.0 1090.0 78 1230.0 1100.0 79 1250.0 1110.0 80 1260.0 1140.0 81 1270.0 1150.0 82 1275.0 1160.0 83 1280.0 1200.0 84 1290.0 85 1300.0 86 1325.0 87 1350.0 88 1375.0 89 1400.0 90 1425.0 91 1450.0 92 1475.0 93 1500.0 94 1525.0 95 1550.0 96 1575.0 97 1600.0 98 1625.0 99 1650.0 100 1700.0 101 1750.0 "},{"id":681,"href":"/OpenBBTerminal/terminal/stocks/options/payoff/pick/","title":"Pick","parent":"Payoff","content":"usage: pick [-t OPTION] [-h] Select the status of the underlying: long, short, none.\noptional arguments: -t {long,short,none}, --type {long,short,none} Choose what you would like to do with the underlying asset (default: None) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 09:25 (✨) /stocks/options/payoff/ $ pick -t long 2022 Feb 16, 09:25 (✨) /stocks/options/payoff/ $ ? ╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Stocks - Options - Payoff ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮ │ │ │ Ticker: TSLA │ │ Expiry: 2022-03-25 │ │ │ │ pick long, short, or none (default) underlying asset │ │ │ │ Underlying Asset: Long │ │ │ │ list list available strike prices for calls and puts │ │ │ │ add add option to the list of the options to be plotted │ │ rmv remove option from the list of the options to be plotted │ │ │ │ sop selected options │ │ plot show the option payoff diagram │ │ │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Gamestonk Terminal ─╯ "},{"id":682,"href":"/OpenBBTerminal/terminal/stocks/options/payoff/plot/","title":"Plot","parent":"Payoff","content":"usage: plot [-h] Shows the options payoff diagram using the variables entered in to the \u0026lsquo;pick\u0026rsquo; and \u0026lsquo;add\u0026rsquo; commands.\noptional arguments: -h, --help show this help message (default: False) "},{"id":683,"href":"/OpenBBTerminal/terminal/stocks/options/payoff/rmv/","title":"Rmv","parent":"Payoff","content":"usage: rmv [-k RMV_STRIKE] [-h] Remove one or all of the options from the diagram.\noptional arguments: -i RMV_STRIKE, --index RMV_STRIKE index of the option to remove -a, --all remove all of the options -h, --help show this help message Example:\n2022 Feb 16, 09:28 (✨) /stocks/options/payoff/ $ rmv 0 # Type Hold Strike Cost 0 call Long 780.0 141.96 1 call Long 850.0 102.0 2 call Long 875.0 89.4 3 call Long 600.0 320.73 4 call Long 700.0 226.06 2022 Feb 16, 09:28 (✨) /stocks/options/payoff/ $ rmv 3 # Type Hold Strike Cost 0 call Long 780.0 141.96 1 call Long 850.0 102.0 2 call Long 875.0 89.4 3 call Long 700.0 226.06 2022 Feb 16, 09:28 (✨) /stocks/options/payoff/ $ rmv 2 # Type Hold Strike Cost 0 call Long 780.0 141.96 1 call Long 850.0 102.0 2 call Long 700.0 226.06 "},{"id":684,"href":"/OpenBBTerminal/terminal/stocks/options/payoff/sop/","title":"Sop","parent":"Payoff","content":"usage: sop [-h] Displays selected option\noptional arguments: -h, --help show this help message (default: False) Example:\n2022 Feb 16, 09:30 (✨) /stocks/options/payoff/ $ sop # Type Hold Strike Cost 0 call Long 780.0 141.96 1 call Long 850.0 102.0 2 call Long 700.0 226.06 "},{"id":685,"href":"/OpenBBTerminal/terminal/stocks/options/pcr/","title":"Pcr","parent":"Introduction to the Options Menu","content":"usage: pcr [-l {10,20,30,60,90,120,150,180}] [-s START] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Display put to call ratio for ticker [Source: AlphaQuery.com]\noptional arguments: -l {10,20,30,60,90,120,150,180}, -length {10,20,30,60,90,120,150,180} Window length to get (default: 30) -s START, --start START Start date for plot (default: 2021-02-15 15:33:46.387854) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":686,"href":"/OpenBBTerminal/terminal/stocks/options/plot/","title":"Plot","parent":"Introduction to the Options Menu","content":"usage: plot [-p] [-x {ltd,s,lp,b,a,c,pc,v,oi,iv}] [-y {ltd,s,lp,b,a,c,pc,v,oi,iv}] [-c {smile}] [-h] [--export {png,jpg,pdf,svg}] Shows a plot for the given x and y variables.\noptional arguments: -p, --put Shows puts instead of calls (default: False) -x {ltd,s,lp,b,a,c,pc,v,oi,iv}, --x_axis {ltd,s,lp,b,a,c,pc,v,oi,iv} ltd- last trade date, s- strike, lp- last price, b- bid, a- ask,c- change, pc- percent change, v- volume, oi- open interest, iv- implied volatility (default: None) -y {ltd,s,lp,b,a,c,pc,v,oi,iv}, --y_axis {ltd,s,lp,b,a,c,pc,v,oi,iv} ltd- last trade date, s- strike, lp- last price, b- bid, a- ask,c- change, pc- percent change, v- volume, oi- open interest, iv- implied volatility (default: None) -c {smile}, --custom {smile} Choose from already created graphs (default: None) -h, --help show this help message (default: False) --export {png,jpg,pdf,svg} Export figure into png, jpg, pdf, svg (default: ) Example:\n2022 Feb 16, 09:37 (✨) /stocks/options/ $ plot -p -x s -y iv "},{"id":687,"href":"/OpenBBTerminal/terminal/stocks/options/pricing/add/","title":"Add","parent":"Introduction to the Options Pricing Submenu","content":"usage: add [-p PRICE] [-c CHANCE] [-h] Add price and probability points to the list\noptional arguments: -p PRICE, --price PRICE Projected price of the stock at the expiration date (default: None) -c CHANCE, --chance CHANCE Chance that the stock is at a given projected price (default: None) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 09:42 (✨) /stocks/options/pricing/ $ add -p 175 -c 0.5 2022 Feb 16, 09:43 (✨) /stocks/options/pricing/ $ add -p 165 -c 0.5 2022 Feb 16, 09:43 (✨) /stocks/options/pricing/ $ show Estimated price(s) of AAPL at 2022-05-20 ┏━━━━━━━━┳━━━━━━━━┓ ┃ Price ┃ Chance ┃ ┡━━━━━━━━╇━━━━━━━━┩ │ 165.00 │ 0.50 │ ├────────┼────────┤ │ 175.00 │ 0.50 │ └────────┴────────┘ "},{"id":688,"href":"/OpenBBTerminal/terminal/stocks/options/pricing/rmv/","title":"Rmv","parent":"Introduction to the Options Pricing Submenu","content":"usage: rmv [-p PRICE] [-a] [-h] Removes one or all entries from the list.\noptional arguments: -p PRICE, --price PRICE Price you want to remove from the list (default: None) -a, --all Remove all prices from the list (default: False) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 09:44 (✨) /stocks/options/pricing/ $ rmv -p 165 2022 Feb 16, 09:44 (✨) /stocks/options/pricing/ $ show Estimated price(s) of AAPL at 2022-05-20 ┏━━━━━━━━┳━━━━━━━━┓ ┃ Price ┃ Chance ┃ ┡━━━━━━━━╇━━━━━━━━┩ │ 175.00 │ 0.50 │ └────────┴────────┘ "},{"id":689,"href":"/OpenBBTerminal/terminal/stocks/options/pricing/rnval/","title":"Rnval","parent":"Introduction to the Options Pricing Submenu","content":"usage: rnval [-p] [-m MINI] [-M MAXI] [-r RISK] [-h] Calculates the expcected value of a given option by multiplying the payoff at each predicted stock price by the probability of that stock price happening. This expected profit is divided by one plus the risk free rate to determine the value of those future dollars today. The expected payoff for each strike price is then compared with the last traded price to determine if there are differences in the market.\nFor example, if you assume the price of AAPL has an equal chance of finishing at $100 or $200 for a given expiration, you could use this to value an option at that expiration. To value a call with a strike of $150, you would calculate the payoff for each stock price, which would be $0 and $50. Then, we caclulate the weighted average payoff of $25. We need to divide this amount by the risk-free rate, assumed to be 0.02. So the value of this option expiring in one year is 25/1.02, or $24.51.\noptional arguments: -p, --put Show puts instead of calls (default: False) -m MINI, --min MINI Minimum strike price shown (default: None) -M MAXI, --max MAXI Maximum strike price shown (default: None) -r RISK, --risk RISK The risk-free rate to use (default: None) -h, --help show this help message (default: False) Example:\n2022 Feb 16, 09:45 (✨) /stocks/options/pricing/ $ add -p 100 -c 0.5 2022 Feb 16, 09:46 (✨) /stocks/options/pricing/ $ add -p 200 -c 0.5 2022 Feb 16, 09:46 (✨) /stocks/options/pricing/ $ show Estimated price(s) of AAPL at 2022-05-20 ┏━━━━━━━━┳━━━━━━━━┓ ┃ Price ┃ Chance ┃ ┡━━━━━━━━╇━━━━━━━━┩ │ 100.00 │ 0.50 │ ├────────┼────────┤ │ 200.00 │ 0.50 │ └────────┴────────┘ 2022 Feb 16, 09:46 (✨) /stocks/options/pricing/ $ rnval Risk Neutral Values ┏━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━━━━━━┓ ┃ Strike ┃ Last Price ┃ Value ┃ Difference ┃ ┡━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━━━━━━┩ │ 120.00 │ 53.25 │ 39.99 │ 13.26 │ ├────────┼────────────┼───────┼────────────┤ │ 125.00 │ 48.11 │ 37.49 │ 10.62 │ ├────────┼────────────┼───────┼────────────┤ │ 130.00 │ 43.80 │ 34.99 │ 8.81 │ ├────────┼────────────┼───────┼────────────┤ │ 135.00 │ 37.71 │ 32.49 │ 5.22 │ ├────────┼────────────┼───────┼────────────┤ │ 140.00 │ 35.00 │ 29.99 │ 5.01 │ ├────────┼────────────┼───────┼────────────┤ │ 145.00 │ 30.35 │ 27.49 │ 2.86 │ ├────────┼────────────┼───────┼────────────┤ │ 150.00 │ 26.30 │ 24.99 │ 1.31 │ ├────────┼────────────┼───────┼────────────┤ │ 155.00 │ 22.35 │ 22.49 │ -0.14 │ ├────────┼────────────┼───────┼────────────┤ │ 160.00 │ 18.30 │ 19.99 │ -1.69 │ ├────────┼────────────┼───────┼────────────┤ │ 165.00 │ 15.00 │ 17.50 │ -2.50 │ ├────────┼────────────┼───────┼────────────┤ │ 170.00 │ 11.35 │ 15.00 │ -3.65 │ ├────────┼────────────┼───────┼────────────┤ │ 175.00 │ 8.65 │ 12.50 │ -3.85 │ ├────────┼────────────┼───────┼────────────┤ │ 180.00 │ 6.70 │ 10.00 │ -3.30 │ ├────────┼────────────┼───────┼────────────┤ │ 185.00 │ 4.60 │ 7.50 │ -2.90 │ ├────────┼────────────┼───────┼────────────┤ │ 190.00 │ 3.25 │ 5.00 │ -1.75 │ ├────────┼────────────┼───────┼────────────┤ │ 195.00 │ 2.29 │ 2.50 │ -0.21 │ ├────────┼────────────┼───────┼────────────┤ │ 200.00 │ 1.59 │ 0.00 │ 1.59 │ ├────────┼────────────┼───────┼────────────┤ │ 210.00 │ 0.70 │ 0.00 │ 0.70 │ └────────┴────────────┴───────┴────────────┘ "},{"id":690,"href":"/OpenBBTerminal/terminal/stocks/options/pricing/show/","title":"Show","parent":"Introduction to the Options Pricing Submenu","content":"usage: show [-h] Shows the list of prices and probabilities entered using the add command.\noptional arguments: -h, --help show this help message (default: False) Example:\n2022 Feb 16, 09:45 (✨) /stocks/options/pricing/ $ add -p 100 -c 0.5 2022 Feb 16, 09:46 (✨) /stocks/options/pricing/ $ add -p 200 -c 0.5 2022 Feb 16, 09:46 (✨) /stocks/options/pricing/ $ show Estimated price(s) of AAPL at 2022-05-20 ┏━━━━━━━━┳━━━━━━━━┓ ┃ Price ┃ Chance ┃ ┡━━━━━━━━╇━━━━━━━━┩ │ 100.00 │ 0.50 │ ├────────┼────────┤ │ 200.00 │ 0.50 │ └────────┴────────┘ "},{"id":691,"href":"/OpenBBTerminal/terminal/stocks/options/unu/","title":"Unu","parent":"Introduction to the Options Menu","content":"usage: unu [-l LIMIT] [-s {Strike,Vol/OI,Vol,OI,Bid,Ask,Exp,Ticker} [{Strike,Vol/OI,Vol,OI,Bid,Ask,Exp,Ticker} ...]] [-a] [-p] [-c] [-h] [--export {csv,json,xlsx}] See unusual options activity and sort by the available columns. Source: https://fdsscanner.com\nNote that sorting by multiple columns can be done by using multiple arguments, i.e -s Ticker Strike\noptional arguments: -l LIMIT, --limit LIMIT Limit of options to show. Each scraped page gives 20 results. (default: 20) -s {Strike,Vol/OI,Vol,OI,Bid,Ask,Exp,Ticker} [{Strike,Vol/OI,Vol,OI,Bid,Ask,Exp,Ticker} ...], --sortby {Strike,Vol/OI,Vol,OI,Bid,Ask,Exp,Ticker} [{Strike,Vol/OI,Vol,OI,Bid,Ask,Exp,Ticker} ...] Column to sort by. Vol/OI is the default and typical variable to be considered unusual. (default: Vol/OI) -a, --ascending Flag to sort in ascending order (default: False) -p, --puts_only Flag to show puts only (default: False) -c, --calls_only Flag to show calls only (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx} Export raw data into csv, json, xlsx (default: ) Example:\n2022 Feb 16, 09:51 (✨) /stocks/options/ $ unu Last Updated: 2022-02-15 16:37:03 (EST) ┏━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━┳━━━━━━━┳━━━━━━━┓ ┃ Ticker ┃ Exp ┃ Strike ┃ Type ┃ Vol/OI ┃ Vol ┃ OI ┃ Bid ┃ Ask ┃ ┡━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━╇━━━━━━━╇━━━━━━━┩ │ ABT │ 2022-05-20 │ 65.00 │ Put │ 59.40 │ 8374.00 │ 141.00 │ 0.05 │ 0.11 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ AAPL │ 2022-03-04 │ 177.50 │ Call │ 52.30 │ 15858.00 │ 303.00 │ 1.41 │ 1.43 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ WMT │ 2022-03-04 │ 150.00 │ Call │ 44.60 │ 9095.00 │ 204.00 │ 0.23 │ 0.24 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ TSLA │ 2022-02-25 │ 915.00 │ Put │ 28.60 │ 6659.00 │ 233.00 │ 27.45 │ 28.20 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ JNJ │ 2022-03-04 │ 160.00 │ Put │ 28.20 │ 4208.00 │ 149.00 │ 0.83 │ 0.93 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ AAPL │ 2022-03-04 │ 157.50 │ Put │ 23.20 │ 3136.00 │ 135.00 │ 0.69 │ 0.70 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ F │ 2022-03-04 │ 17.50 │ Put │ 21.70 │ 2716.00 │ 125.00 │ 0.46 │ 0.49 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ TWTR │ 2022-03-04 │ 37.00 │ Call │ 21.10 │ 5899.00 │ 280.00 │ 1.42 │ 1.54 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ WDC │ 2022-02-25 │ 56.00 │ Call │ 21.00 │ 4061.00 │ 193.00 │ 1.30 │ 1.40 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ UAA │ 2022-02-25 │ 17.00 │ Put │ 19.60 │ 5064.00 │ 258.00 │ 0.24 │ 0.27 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ TSLA │ 2022-02-18 │ 915.00 │ Put │ 19.60 │ 15775.00 │ 804.00 │ 14.90 │ 15.30 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ IBM │ 2022-02-18 │ 133.00 │ Call │ 19.40 │ 7248.00 │ 374.00 │ 0.22 │ 0.25 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ WDC │ 2022-02-18 │ 59.00 │ Call │ 18.10 │ 2099.00 │ 116.00 │ 0.11 │ 0.16 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ CVX │ 2022-09-16 │ 110.00 │ Put │ 16.60 │ 3026.00 │ 182.00 │ 3.45 │ 4.10 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ UAL │ 2022-05-20 │ 65.00 │ Call │ 16.50 │ 2765.00 │ 168.00 │ 1.04 │ 1.17 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ GPS │ 2022-03-04 │ 15.50 │ Put │ 16.30 │ 2947.00 │ 181.00 │ 1.05 │ 1.12 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ SO │ 2022-02-18 │ 67.00 │ Call │ 16.20 │ 2942.00 │ 182.00 │ 0.05 │ 0.10 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ TWTR │ 2022-03-04 │ 35.00 │ Put │ 14.60 │ 6467.00 │ 442.00 │ 0.68 │ 0.78 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ QCOM │ 2022-03-04 │ 145.00 │ Put │ 14.10 │ 2275.00 │ 161.00 │ 0.73 │ 0.82 │ ├────────┼────────────┼────────┼──────┼────────┼──────────┼────────┼───────┼───────┤ │ GPS │ 2022-02-25 │ 15.50 │ Put │ 13.10 │ 2716.00 │ 208.00 │ 0.49 │ 0.53 │ └────────┴────────────┴────────┴──────┴────────┴──────────┴────────┴───────┴───────┘ "},{"id":692,"href":"/OpenBBTerminal/terminal/stocks/options/voi/","title":"Voi","parent":"Introduction to the Options Menu","content":"usage: voi [-v MIN_VOL] [-m MIN_SP] [-M MAX_SP] [-s {tr,yf}] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Plots volume and open interest of calls vs puts for the selected expiration date.\noptional arguments: -v MIN_VOL, --minv MIN_VOL minimum volume (considering open interest) threshold of the plot. (default: -1) -m MIN_SP, --min MIN_SP minimum strike price to consider in the plot. (default: -1) -M MAX_SP, --max MAX_SP maximum strike price to consider in the plot. (default: -1) -s {tr,yf}, --source {tr,yf} Source to get data from (default: tr) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":693,"href":"/OpenBBTerminal/terminal/stocks/options/vol/","title":"Vol","parent":"Introduction to the Options Menu","content":"usage: vol [-m MIN] [-M MAX] [-c] [-p] [-s {tr,yf}] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Plot volume. Volume refers to the number of contracts traded today.\noptional arguments: -m MIN, --min MIN Min strike to plot (default: -1) -M MAX, --max MAX Max strike to plot (default: -1) -c, --calls Flag to plot call options only (default: False) -p, --puts Flag to plot put options only (default: False) -s {tr,yf}, --source {tr,yf} Source to get data from (default: tr) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":694,"href":"/OpenBBTerminal/terminal/stocks/options/vsurf/","title":"Vsurf","parent":"Introduction to the Options Menu","content":"usage: vsurf [-z {IV,OI,LP}] [-h] [--export {png,jpg,pdf,svg}] Plot 3D volatility surface.\noptional arguments: -z {IV,OI,LP}, --z-axis {IV,OI,LP} The data for the Z axis (default: IV) -h, --help show this help message (default: False) --export {png,jpg,pdf,svg} Export figure into png, jpg, pdf, svg (default: ) "},{"id":695,"href":"/OpenBBTerminal/terminal/stocks/quote/","title":"Quote","parent":"Introduction to Stocks","content":"usage: quote [-t S_TICKER] [-p] [-h] Retrieves a current quote from the currently loaded ticker. To view a quote from a different symbol than what is currently loaded, add the \u0026lsquo;-t\u0026rsquo; argument to the command string.\noptional arguments: -t S_TICKER, --ticker S_TICKER Stock ticker (default: TSLA) -p, --price Price only (default: False) -h, --help show this help message (default: False) 2022 Feb 14, 08:59 (✨) /stocks/ $ quote Ticker Quote ┌────────────────┬─────────────┐ │ │ TSLA │ ├────────────────┼─────────────┤ │ Name │ Tesla, Inc. │ ├────────────────┼─────────────┤ │ Price │ 860.00 │ ├────────────────┼─────────────┤ │ Open │ 909.63 │ ├────────────────┼─────────────┤ │ High │ 915.96 │ ├────────────────┼─────────────┤ │ Low │ 850.71 │ ├────────────────┼─────────────┤ │ Previous Close │ 904.55 │ ├────────────────┼─────────────┤ │ Volume │ 26,548,623 │ ├────────────────┼─────────────┤ │ 52 Week High │ 1243.49 │ ├────────────────┼─────────────┤ │ 52 Week Low │ 539.49 │ ├────────────────┼─────────────┤ │ Change │ -44.55 │ ├────────────────┼─────────────┤ │ Change % │ -4.93% │ └────────────────┴─────────────┘ 2022 Feb 14, 09:00 (✨) /stocks/ $ quote -t AAPL Ticker Quote ┌────────────────┬────────────┐ │ │ AAPL │ ├────────────────┼────────────┤ │ Name │ Apple Inc. │ ├────────────────┼────────────┤ │ Price │ 168.64 │ ├────────────────┼────────────┤ │ Open │ 172.33 │ ├────────────────┼────────────┤ │ High │ 173.08 │ ├────────────────┼────────────┤ │ Low │ 168.04 │ ├────────────────┼────────────┤ │ Previous Close │ 172.12 │ ├────────────────┼────────────┤ │ Volume │ 98,670,687 │ ├────────────────┼────────────┤ │ 52 Week High │ 182.94 │ ├────────────────┼────────────┤ │ 52 Week Low │ 116.21 │ ├────────────────┼────────────┤ │ Change │ -3.48 │ ├────────────────┼────────────┤ │ Change % │ -2.02% │ └────────────────┴────────────┘ "},{"id":696,"href":"/OpenBBTerminal/terminal/stocks/research/","title":"Research","parent":"Introduction to Stocks","content":"The research menu provides a variety of Financial sources that can be used to further delve into the chosen stock.\nAvailable commands: Barchart Businessinsider Fidelity Fintel Finviz Fmp Fool Grufity Macroaxis Macrotrends Marketchameleon Marketwatch Newsfilter Stockanalysis Stockrow Tradingview Yahoo Zacks "},{"id":697,"href":"/OpenBBTerminal/terminal/stocks/research/barchart/","title":"Barchart","parent":"Research","content":"usage: barchart Access www.barchart.com\n"},{"id":698,"href":"/OpenBBTerminal/terminal/stocks/research/businessinsider/","title":"Businessinsider","parent":"Research","content":"usage: businessinsider Access www.markets.businessinsider.com\n"},{"id":699,"href":"/OpenBBTerminal/terminal/stocks/research/fidelity/","title":"Fidelity","parent":"Research","content":"usage: fidelity Access www.eresearch.fidelity.com\n"},{"id":700,"href":"/OpenBBTerminal/terminal/stocks/research/fintel/","title":"Fintel","parent":"Research","content":"usage: fintel Access www.fintel.com\n"},{"id":701,"href":"/OpenBBTerminal/terminal/stocks/research/finviz/","title":"Finviz","parent":"Research","content":"usage: finviz Access www.finviz.com\n"},{"id":702,"href":"/OpenBBTerminal/terminal/stocks/research/fmp/","title":"Fmp","parent":"Research","content":"usage: fmp Access www.financialmodelingprep.com\n"},{"id":703,"href":"/OpenBBTerminal/terminal/stocks/research/fool/","title":"Fool","parent":"Research","content":"usage: fool Access www.fool.com\n"},{"id":704,"href":"/OpenBBTerminal/terminal/stocks/research/grufity/","title":"Grufity","parent":"Research","content":"usage: grufity Access www.grufity.com\n"},{"id":705,"href":"/OpenBBTerminal/terminal/stocks/research/macroaxis/","title":"Macroaxis","parent":"Research","content":"usage: macroaxis Access www.macroaxis.com\n"},{"id":706,"href":"/OpenBBTerminal/terminal/stocks/research/macrotrends/","title":"Macrotrends","parent":"Research","content":"usage: macrotrends Access www.macrotrends.net\n"},{"id":707,"href":"/OpenBBTerminal/terminal/stocks/research/marketchameleon/","title":"Marketchameleon","parent":"Research","content":"usage: marketchameleon Access www.marketchameleon.com\n"},{"id":708,"href":"/OpenBBTerminal/terminal/stocks/research/marketwatch/","title":"Marketwatch","parent":"Research","content":"usage: marketwatch Access www.marketwatch.com\n"},{"id":709,"href":"/OpenBBTerminal/terminal/stocks/research/newsfilter/","title":"Newsfilter","parent":"Research","content":"usage: newsfilter Access www.newsfilter.io\n"},{"id":710,"href":"/OpenBBTerminal/terminal/stocks/research/stockanalysis/","title":"Stockanalysis","parent":"Research","content":"usage: stockanalysis Access www.stockanalysis.com\n"},{"id":711,"href":"/OpenBBTerminal/terminal/stocks/research/stockrow/","title":"Stockrow","parent":"Research","content":"usage: stockrow Access www.stockrow.com\n"},{"id":712,"href":"/OpenBBTerminal/terminal/stocks/research/tradingview/","title":"Tradingview","parent":"Research","content":"usage: tradingview Access www.tradingview.com\n"},{"id":713,"href":"/OpenBBTerminal/terminal/stocks/research/yahoo/","title":"Yahoo","parent":"Research","content":"usage: yahoo Access www.finance.yahoo.com\n"},{"id":714,"href":"/OpenBBTerminal/terminal/stocks/research/zacks/","title":"Zacks","parent":"Research","content":"usage: zacks Access www.zacks.com\n"},{"id":715,"href":"/OpenBBTerminal/terminal/stocks/screener/","title":"Screener","parent":"Introduction to Stocks","content":" Financial Historical Overview Ownership Performance Set Technical Valuation View "},{"id":716,"href":"/OpenBBTerminal/terminal/stocks/screener/financial/","title":"Financial","parent":"Screener","content":"usage: financial [-p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}] [-l LIMIT] [-a] [-s {Ticker,Market Cap,Dividend,ROA,ROE,ROI,Curr R,Quick R,LTDebt/Eq,Debt/Eq,Gross M,Oper M,Profit M,Earnings,Price,Change,Volume} [{Ticker,Market Cap,Dividend,ROA,ROE,ROI,Curr R,Quick R,LTDebt/Eq,Debt/Eq,Gross M,Oper M,Profit M,Earnings,Price,Change,Volume} ...]] [-h] [--export {csv,json,xlsx}] Prints financial data of the companies that meet the pre-set filtering. [Source: Finviz]\noptional arguments: -p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}, --preset {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse} Filter presets -l LIMIT, --limit LIMIT Limit of stocks to print -a, --ascend Set order to Ascend, the default is Descend -s {Ticker,Market Cap,Dividend,ROA,ROE,ROI,Curr R,Quick R,LTDebt/Eq,Debt/Eq,Gross M,Oper M,Profit M,Earnings,Price,Change,Volume} [{Ticker,Market Cap,Dividend,ROA,ROE,ROI,Curr R,Quick R,LTDebt/Eq,Debt/Eq,Gross M,Oper M,Profit M,Earnings,Price,Change,Volume} ...], --sort {Ticker,Market Cap,Dividend,ROA,ROE,ROI,Curr R,Quick R,LTDebt/Eq,Debt/Eq,Gross M,Oper M,Profit M,Earnings,Price,Change,Volume} [{Ticker,Market Cap,Dividend,ROA,ROE,ROI,Curr R,Quick R,LTDebt/Eq,Debt/Eq,Gross M,Oper M,Profit M,Earnings,Price,Change,Volume} ...] Sort elements of the table. -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx Finzin Screener ┌────────┬───────────────┬──────────┬───────┬───────┬───────┬────────┬─────────┬───────────┬─────────┬─────────┬────────┬──────────┬──────────┬───────┬────────┬──────────────┐ │ Ticker │ Market Cap │ Dividend │ ROA │ ROE │ ROI │ Curr R │ Quick R │ LTDebt/Eq │ Debt/Eq │ Gross M │ Oper M │ Profit M │ Earnings │ Price │ Change │ Volume │ ├────────┼───────────────┼──────────┼───────┼───────┼───────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼───────┼────────┼──────────────┤ │ YMAB │ 285860000.00 │ │ -0.17 │ -0.19 │ -1.13 │ 9.10 │ 8.90 │ 0.00 │ 0.00 │ 0.98 │ │ -0.83 │ Nov 04/a │ 8.25 │ 0.26 │ 12286763.00 │ ├────────┼───────────────┼──────────┼───────┼───────┼───────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼───────┼────────┼──────────────┤ │ COE │ 27700000.00 │ │ 0.02 │ -0.05 │ -0.12 │ 0.50 │ 0.50 │ │ │ 0.73 │ 0.00 │ 0.02 │ - │ 1.59 │ 0.23 │ 2292209.00 │ ├────────┼───────────────┼──────────┼───────┼───────┼───────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼───────┼────────┼──────────────┤ │ KAVL │ 51610000.00 │ │ -0.30 │ -1.12 │ 0.87 │ 1.40 │ 0.50 │ 0.00 │ 0.00 │ 0.21 │ -0.10 │ -0.11 │ - │ 2.24 │ 0.23 │ 131650688.00 │ ├────────┼───────────────┼──────────┼───────┼───────┼───────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼───────┼────────┼──────────────┤ │ INCR │ 368950000.00 │ │ │ │ │ │ │ │ │ │ │ │ Nov 16/b │ 8.20 │ 0.22 │ 1396666.00 │ ├────────┼───────────────┼──────────┼───────┼───────┼───────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼───────┼────────┼──────────────┤ │ RSVR │ 371430000.00 │ │ -0.01 │ -0.01 │ │ 1.50 │ 1.50 │ 0.00 │ 0.00 │ │ │ │ Feb 08/b │ 7.02 │ 0.21 │ 332318.00 │ ├────────┼───────────────┼──────────┼───────┼───────┼───────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼───────┼────────┼──────────────┤ │ COOP │ 3100000000.00 │ │ 0.06 │ 0.48 │ 0.04 │ │ │ 3.15 │ 3.98 │ │ 0.48 │ 0.40 │ Feb 11/b │ 49.22 │ 0.19 │ 4171073.00 │ ├────────┼───────────────┼──────────┼───────┼───────┼───────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼───────┼────────┼──────────────┤ │ AGFY │ 152330000.00 │ │ -0.26 │ -0.31 │ -2.72 │ 5.80 │ 5.30 │ 0.01 │ 0.01 │ -0.02 │ -0.74 │ -0.83 │ Nov 10/b │ 8.51 │ 0.19 │ 1933556.00 │ ├────────┼───────────────┼──────────┼───────┼───────┼───────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼───────┼────────┼──────────────┤ │ AZYO │ 66790000.00 │ │ -0.29 │ -1.41 │ -0.31 │ 1.70 │ 1.30 │ 1.52 │ 2.78 │ 0.44 │ -0.33 │ -0.43 │ Nov 09/a │ 6.41 │ 0.19 │ 16694.00 │ ├────────┼───────────────┼──────────┼───────┼───────┼───────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼───────┼────────┼──────────────┤ │ SNDL │ 1150000000.00 │ │ -0.22 │ -0.24 │ -0.71 │ 13.40 │ 12.80 │ 0.02 │ 0.02 │ 0.08 │ │ │ Nov 11/a │ 0.66 │ 0.19 │ 246995920.00 │ ├────────┼───────────────┼──────────┼───────┼───────┼───────┼────────┼─────────┼───────────┼─────────┼─────────┼────────┼──────────┼──────────┼───────┼────────┼──────────────┤ │ CRS │ 1600000000.00 │ 0.02 │ -0.05 │ -0.10 │ -0.09 │ 3.50 │ 1.70 │ 0.52 │ 0.00 │ 0.02 │ -0.10 │ -0.09 │ Feb 02/b │ 38.73 │ 0.17 │ 1839490.00 │ └────────┴───────────────┴──────────┴───────┴───────┴───────┴────────┴─────────┴───────────┴─────────┴─────────┴────────┴──────────┴──────────┴───────┴────────┴──────────────┘ "},{"id":717,"href":"/OpenBBTerminal/terminal/stocks/screener/historical/","title":"Historical","parent":"Screener","content":"usage: historical [-l LIMIT] [-n] [-s START] [-t {o,h,l,c,a}] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Historical price comparison between similar companies [Source: Yahoo Finance]\noptional arguments: -l LIMIT, --limit LIMIT Limit of the most shorted stocks to retrieve. -n, --no-scale Flag to not put all prices on same 0-1 scale -s START, --start START The starting date (format YYYY-MM-DD) of the historical price to plot -t {o,h,l,c,a}, --type {o,h,l,c,a} type of candles: o-open, h-high, l-low, c-close, a-adjusted close. -h, --help show this help message --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg "},{"id":718,"href":"/OpenBBTerminal/terminal/stocks/screener/overview/","title":"Overview","parent":"Screener","content":"usage: overview [-p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}] [-l LIMIT] [-a] [-s {Ticker,Company,Sector,Industry,Country,Market Cap,P/E,Price,Change,Volume} [{Ticker,Company,Sector,Industry,Country,Market Cap,P/E,Price,Change,Volume} ...]] [-h] [--export {csv,json,xlsx}] Prints overview data of the companies that meet the pre-set filtering. [Source: Finviz]\noptional arguments: -p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}, --preset {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse} Filter presets -l LIMIT, --limit LIMIT Limit of stocks to print -a, --ascend Set order to Ascend, the default is Descend -s {Ticker,Company,Sector,Industry,Country,Market Cap,P/E,Price,Change,Volume} [{Ticker,Company,Sector,Industry,Country,Market Cap,P/E,Price,Change,Volume} ...], --sort {Ticker,Company,Sector,Industry,Country,Market Cap,P/E,Price,Change,Volume} [{Ticker,Company,Sector,Industry,Country,Market Cap,P/E,Price,Change,Volume} ...] Sort elements of the table. -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx 2022 Feb 14, 08:40 (✨) /stocks/scr/ $ overview -p buffett_like Finzin Screener ┌────────┬───────────────────────────────────────┬────────────────────────┬──────────────────────────────────────────┬─────────┬───────────────┬──────┬───────┬────────┬──────────────┐ │ Ticker │ Company │ Sector │ Industry │ Country │ Market Cap │ P/E │ Price │ Change │ Volume │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ YMAB │ Y-mAbs Therapeutics, Inc. │ Healthcare │ Biotechnology │ USA │ 285860000.00 │ │ 8.25 │ 0.26 │ 12286763.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ COE │ China Online Education Group │ Consumer Defensive │ Education \u0026amp; Training Services │ China │ 27700000.00 │ 5.39 │ 1.59 │ 0.23 │ 2292209.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ KAVL │ Kaival Brands Innovations Group, Inc. │ Consumer Defensive │ Tobacco │ USA │ 51610000.00 │ │ 2.24 │ 0.23 │ 131650688.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ INCR │ InterCure Ltd. │ Healthcare │ Drug Manufacturers - Specialty \u0026amp; Generic │ Israel │ 368950000.00 │ │ 8.20 │ 0.22 │ 1396666.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ RSVR │ Reservoir Media, Inc. │ Communication Services │ Entertainment │ USA │ 371430000.00 │ │ 7.02 │ 0.21 │ 332318.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ COOP │ Mr. Cooper Group Inc. │ Financial │ Mortgage Finance │ USA │ 3100000000.00 │ 3.03 │ 49.22 │ 0.19 │ 4171073.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ AGFY │ Agrify Corporation │ Industrials │ Engineering \u0026amp; Construction │ USA │ 152330000.00 │ │ 8.51 │ 0.19 │ 1933556.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ AZYO │ Aziyo Biologics, Inc. │ Healthcare │ Medical Devices │ USA │ 66790000.00 │ │ 6.41 │ 0.19 │ 16694.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ SNDL │ Sundial Growers Inc. │ Healthcare │ Drug Manufacturers - Specialty \u0026amp; Generic │ Canada │ 1150000000.00 │ │ 0.66 │ 0.19 │ 246995920.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ CRS │ Carpenter Technology Corporation │ Industrials │ Metal Fabrication │ USA │ 1600000000.00 │ │ 38.73 │ 0.17 │ 1839490.00 │ └────────┴───────────────────────────────────────┴────────────────────────┴──────────────────────────────────────────┴─────────┴───────────────┴──────┴───────┴────────┴──────────────┘ 2022 Feb 14, 08:40 (✨) /stocks/scr/ $ overview -p channel_up Finzin Screener ┌────────┬───────────────────────────────────────┬────────────────────────┬──────────────────────────────────────────┬─────────┬───────────────┬──────┬───────┬────────┬──────────────┐ │ Ticker │ Company │ Sector │ Industry │ Country │ Market Cap │ P/E │ Price │ Change │ Volume │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ YMAB │ Y-mAbs Therapeutics, Inc. │ Healthcare │ Biotechnology │ USA │ 285860000.00 │ │ 8.25 │ 0.26 │ 12286763.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ COE │ China Online Education Group │ Consumer Defensive │ Education \u0026amp; Training Services │ China │ 27700000.00 │ 5.39 │ 1.59 │ 0.23 │ 2292209.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ KAVL │ Kaival Brands Innovations Group, Inc. │ Consumer Defensive │ Tobacco │ USA │ 51610000.00 │ │ 2.24 │ 0.23 │ 131650688.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ INCR │ InterCure Ltd. │ Healthcare │ Drug Manufacturers - Specialty \u0026amp; Generic │ Israel │ 368950000.00 │ │ 8.20 │ 0.22 │ 1396666.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ RSVR │ Reservoir Media, Inc. │ Communication Services │ Entertainment │ USA │ 371430000.00 │ │ 7.02 │ 0.21 │ 332318.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ COOP │ Mr. Cooper Group Inc. │ Financial │ Mortgage Finance │ USA │ 3100000000.00 │ 3.03 │ 49.22 │ 0.19 │ 4171073.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ AGFY │ Agrify Corporation │ Industrials │ Engineering \u0026amp; Construction │ USA │ 152330000.00 │ │ 8.51 │ 0.19 │ 1933556.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ AZYO │ Aziyo Biologics, Inc. │ Healthcare │ Medical Devices │ USA │ 66790000.00 │ │ 6.41 │ 0.19 │ 16694.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ SNDL │ Sundial Growers Inc. │ Healthcare │ Drug Manufacturers - Specialty \u0026amp; Generic │ Canada │ 1150000000.00 │ │ 0.66 │ 0.19 │ 246995920.00 │ ├────────┼───────────────────────────────────────┼────────────────────────┼──────────────────────────────────────────┼─────────┼───────────────┼──────┼───────┼────────┼──────────────┤ │ CRS │ Carpenter Technology Corporation │ Industrials │ Metal Fabrication │ USA │ 1600000000.00 │ │ 38.73 │ 0.17 │ 1839490.00 │ └────────┴───────────────────────────────────────┴────────────────────────┴──────────────────────────────────────────┴─────────┴───────────────┴──────┴───────┴────────┴──────────────┘ "},{"id":719,"href":"/OpenBBTerminal/terminal/stocks/screener/ownership/","title":"Ownership","parent":"Screener","content":"usage: ownership [-p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}] [-l LIMIT] [-a] [-s {Ticker,Market Cap,Outstanding,Float,Insider Own,Insider Trans,Inst Own,Inst Trans,Float Short,Short Ratio,Avg Volume,Price,Change,Volume} [{Ticker,Market Cap,Outstanding,Float,Insider Own,Insider Trans,Inst Own,Inst Trans,Float Short,Short Ratio,Avg Volume,Price,Change,Volume} ...]] [-h] [--export {csv,json,xlsx}] Prints ownership data of the companies that meet the pre-set filtering. [Source: Finviz]\noptional arguments: -p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}, --preset {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse} Filter presets -l LIMIT, --limit LIMIT Limit of stocks to print -a, --ascend Set order to Ascend, the default is Descend -s {Ticker,Market Cap,Outstanding,Float,Insider Own,Insider Trans,Inst Own,Inst Trans,Float Short,Short Ratio,Avg Volume,Price,Change,Volume} [{Ticker,Market Cap,Outstanding,Float,Insider Own,Insider Trans,Inst Own,Inst Trans,Float Short,Short Ratio,Avg Volume,Price,Change,Volume} ...], --sort {Ticker,Market Cap,Outstanding,Float,Insider Own,Insider Trans,Inst Own,Inst Trans,Float Short,Short Ratio,Avg Volume,Price,Change,Volume} [{Ticker,Market Cap,Outstanding,Float,Insider Own,Insider Trans,Inst Own,Inst Trans,Float Short,Short Ratio,Avg Volume,Price,Change,Volume} ...] Sort elements of the table. -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx 2022 Feb 14, 08:43 (✨) /stocks/scr/ $ ownership -p top_performers_all Finzin Screener ┌────────┬───────────────┬───────────────┬───────────────┬─────────────┬───────────────┬──────────┬────────────┬─────────────┬─────────────┬──────────────┬───────┬────────┬──────────────┐ │ Ticker │ Market Cap │ Outstanding │ Float │ Insider Own │ Insider Trans │ Inst Own │ Inst Trans │ Float Short │ Short Ratio │ Avg Volume │ Price │ Change │ Volume │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ YMAB │ 285860000.00 │ 43600000.00 │ 36580000.00 │ 0.01 │ -0.86 │ 0.68 │ -0.01 │ 0.05 │ 3.23 │ 606550.00 │ 8.25 │ 0.26 │ 12286763.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ COE │ 27700000.00 │ 21760000.00 │ 3690000.00 │ 0.02 │ 0.00 │ 0.82 │ 0.00 │ 0.05 │ 0.61 │ 287550.00 │ 1.59 │ 0.23 │ 2292209.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ KAVL │ 51610000.00 │ 28330000.00 │ 15950000.00 │ 0.60 │ 0.00 │ 0.02 │ 0.06 │ 0.03 │ 0.08 │ 5800000.00 │ 2.24 │ 0.23 │ 131650688.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ INCR │ 368950000.00 │ 44990000.00 │ 25770000.00 │ 0.40 │ 0.00 │ 0.12 │ │ 0.01 │ 1.45 │ 93280.00 │ 8.20 │ 0.22 │ 1396666.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ RSVR │ 371430000.00 │ 11060000.00 │ │ 0.02 │ 0.00 │ 0.42 │ 0.01 │ │ 11.42 │ 91770.00 │ 7.02 │ 0.21 │ 332318.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ COOP │ 3100000000.00 │ 78940000.00 │ 73640000.00 │ 0.02 │ -0.08 │ 0.89 │ 0.00 │ 0.03 │ 2.83 │ 872470.00 │ 49.22 │ 0.19 │ 4171073.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ AGFY │ 152330000.00 │ 20830000.00 │ 18820000.00 │ 0.00 │ -0.65 │ 0.32 │ 0.51 │ 0.11 │ 2.70 │ 743420.00 │ 8.51 │ 0.19 │ 1933556.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ AZYO │ 66790000.00 │ 10230000.00 │ 8560000.00 │ 0.00 │ │ 0.89 │ 0.23 │ 0.00 │ 0.06 │ 15940.00 │ 6.41 │ 0.19 │ 16694.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ SNDL │ 1150000000.00 │ 2050000000.00 │ 2040000000.00 │ 0.01 │ 0.00 │ 0.05 │ 0.21 │ 0.12 │ 2.31 │ 107080000.00 │ 0.66 │ 0.19 │ 246995920.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ CRS │ 1600000000.00 │ 48600000.00 │ 47320000.00 │ 0.01 │ 0.00 │ 0.92 │ -0.00 │ 0.03 │ 3.67 │ 437500.00 │ 38.73 │ 0.17 │ 1839490.00 │ └────────┴───────────────┴───────────────┴───────────────┴─────────────┴───────────────┴──────────┴────────────┴─────────────┴─────────────┴──────────────┴───────┴────────┴──────────────┘ 2022 Feb 14, 08:43 (✨) /stocks/scr/ $ ownership -p double_bottom Finzin Screener ┌────────┬───────────────┬───────────────┬───────────────┬─────────────┬───────────────┬──────────┬────────────┬─────────────┬─────────────┬──────────────┬───────┬────────┬──────────────┐ │ Ticker │ Market Cap │ Outstanding │ Float │ Insider Own │ Insider Trans │ Inst Own │ Inst Trans │ Float Short │ Short Ratio │ Avg Volume │ Price │ Change │ Volume │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ YMAB │ 285860000.00 │ 43600000.00 │ 36580000.00 │ 0.01 │ -0.86 │ 0.68 │ -0.01 │ 0.05 │ 3.23 │ 606550.00 │ 8.25 │ 0.26 │ 12286763.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ COE │ 27700000.00 │ 21760000.00 │ 3690000.00 │ 0.02 │ 0.00 │ 0.82 │ 0.00 │ 0.05 │ 0.61 │ 287550.00 │ 1.59 │ 0.23 │ 2292209.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ KAVL │ 51610000.00 │ 28330000.00 │ 15950000.00 │ 0.60 │ 0.00 │ 0.02 │ 0.06 │ 0.03 │ 0.08 │ 5800000.00 │ 2.24 │ 0.23 │ 131650688.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ INCR │ 368950000.00 │ 44990000.00 │ 25770000.00 │ 0.40 │ 0.00 │ 0.12 │ │ 0.01 │ 1.45 │ 93280.00 │ 8.20 │ 0.22 │ 1396666.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ RSVR │ 371430000.00 │ 11060000.00 │ │ 0.02 │ 0.00 │ 0.42 │ 0.01 │ │ 11.42 │ 91770.00 │ 7.02 │ 0.21 │ 332318.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ COOP │ 3100000000.00 │ 78940000.00 │ 73640000.00 │ 0.02 │ -0.08 │ 0.89 │ 0.00 │ 0.03 │ 2.83 │ 872470.00 │ 49.22 │ 0.19 │ 4171073.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ AGFY │ 152330000.00 │ 20830000.00 │ 18820000.00 │ 0.00 │ -0.65 │ 0.32 │ 0.51 │ 0.11 │ 2.70 │ 743420.00 │ 8.51 │ 0.19 │ 1933556.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ AZYO │ 66790000.00 │ 10230000.00 │ 8560000.00 │ 0.00 │ │ 0.89 │ 0.23 │ 0.00 │ 0.06 │ 15940.00 │ 6.41 │ 0.19 │ 16694.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ SNDL │ 1150000000.00 │ 2050000000.00 │ 2040000000.00 │ 0.01 │ 0.00 │ 0.05 │ 0.21 │ 0.12 │ 2.31 │ 107080000.00 │ 0.66 │ 0.19 │ 246995920.00 │ ├────────┼───────────────┼───────────────┼───────────────┼─────────────┼───────────────┼──────────┼────────────┼─────────────┼─────────────┼──────────────┼───────┼────────┼──────────────┤ │ CRS │ 1600000000.00 │ 48600000.00 │ 47320000.00 │ 0.01 │ 0.00 │ 0.92 │ -0.00 │ 0.03 │ 3.67 │ 437500.00 │ 38.73 │ 0.17 │ 1839490.00 │ └────────┴───────────────┴───────────────┴───────────────┴─────────────┴───────────────┴──────────┴────────────┴─────────────┴─────────────┴──────────────┴───────┴────────┴──────────────┘ "},{"id":720,"href":"/OpenBBTerminal/terminal/stocks/screener/performance/","title":"Performance","parent":"Screener","content":"usage: performance [-p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}] [-l LIMIT] [-a] [-s {Ticker,Perf Week,Perf Month,Perf Quart,Perf Half,Perf Year,Perf YTD,Volatility W,Volatility M,Recom,Avg Volume,Rel Volume,Price,Change,Volume} [{Ticker,Perf Week,Perf Month,Perf Quart,Perf Half,Perf Year,Perf YTD,Volatility W,Volatility M,Recom,Avg Volume,Rel Volume,Price,Change,Volume} ...]] [-h] [--export {csv,json,xlsx}] Prints performance data of the companies that meet the pre-set filtering. [Source: Finviz]\noptional arguments: -p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}, --preset {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse} Filter presets -l LIMIT, --limit LIMIT Limit of stocks to print -a, --ascend Set order to Ascend, the default is Descend -s {Ticker,Perf Week,Perf Month,Perf Quart,Perf Half,Perf Year,Perf YTD,Volatility W,Volatility M,Recom,Avg Volume,Rel Volume,Price,Change,Volume} [{Ticker,Perf Week,Perf Month,Perf Quart,Perf Half,Perf Year,Perf YTD,Volatility W,Volatility M,Recom,Avg Volume,Rel Volume,Price,Change,Volume} ...], --sort {Ticker,Perf Week,Perf Month,Perf Quart,Perf Half,Perf Year,Perf YTD,Volatility W,Volatility M,Recom,Avg Volume,Rel Volume,Price,Change,Volume} [{Ticker,Perf Week,Perf Month,Perf Quart,Perf Half,Perf Year,Perf YTD,Volatility W,Volatility M,Recom,Avg Volume,Rel Volume,Price,Change,Volume} ...] Sort elements of the table. -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx 2022 Feb 14, 08:44 (✨) /stocks/scr/ $ performance -p rosenwald Finzin Screener ┌────────┬───────────┬────────────┬────────────┬───────────┬───────────┬──────────┬──────────────┬──────────────┬───────┬──────────────┬────────────┬───────┬────────┬──────────────┐ │ Ticker │ Perf Week │ Perf Month │ Perf Quart │ Perf Half │ Perf Year │ Perf YTD │ Volatility W │ Volatility M │ Recom │ Avg Volume │ Rel Volume │ Price │ Change │ Volume │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ YMAB │ 0.07 │ -0.36 │ -0.62 │ -0.72 │ -0.83 │ -0.49 │ 0.17 │ 0.13 │ 1.90 │ 606550.00 │ 29.55 │ 8.25 │ 0.26 │ 12286763.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ COE │ 0.80 │ 0.45 │ -0.33 │ -0.36 │ -0.94 │ 0.31 │ 0.21 │ 0.14 │ 2.50 │ 287550.00 │ 8.88 │ 1.59 │ 0.23 │ 2292209.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ KAVL │ 1.09 │ 1.88 │ 0.22 │ -0.63 │ -0.93 │ 2.01 │ 0.41 │ 0.24 │ │ 5800000.00 │ 34.99 │ 2.24 │ 0.23 │ 131650688.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ INCR │ 0.30 │ 0.21 │ 0.04 │ 0.31 │ -0.12 │ 0.27 │ 0.10 │ 0.06 │ │ 93280.00 │ 19.04 │ 8.20 │ 0.22 │ 1396666.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ RSVR │ 0.14 │ -0.01 │ -0.26 │ -0.08 │ -0.35 │ -0.11 │ 0.12 │ 0.07 │ 2.00 │ 91770.00 │ 3.76 │ 7.02 │ 0.21 │ 332318.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ COOP │ 0.29 │ 0.14 │ 0.13 │ 0.28 │ 0.65 │ 0.18 │ 0.06 │ 0.04 │ 2.10 │ 872470.00 │ 5.13 │ 49.22 │ 0.19 │ 4171073.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ AGFY │ 0.26 │ -0.08 │ -0.57 │ -0.71 │ -0.55 │ -0.07 │ 0.14 │ 0.13 │ 2.00 │ 743420.00 │ 2.64 │ 8.51 │ 0.19 │ 1933556.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ AZYO │ 0.21 │ 0.02 │ 0.03 │ -0.24 │ -0.59 │ 0.02 │ 0.06 │ 0.10 │ 2.00 │ 15940.00 │ 1.02 │ 6.41 │ 0.19 │ 16694.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ SNDL │ 0.25 │ 0.14 │ -0.08 │ -0.12 │ -0.68 │ 0.15 │ 0.11 │ 0.09 │ 3.20 │ 107080000.00 │ 2.30 │ 0.66 │ 0.19 │ 246995920.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ CRS │ 0.34 │ 0.19 │ 0.16 │ 0.05 │ 0.08 │ 0.33 │ 0.09 │ 0.07 │ 2.50 │ 437500.00 │ 4.48 │ 38.73 │ 0.17 │ 1839490.00 │ └────────┴───────────┴────────────┴────────────┴───────────┴───────────┴──────────┴──────────────┴──────────────┴───────┴──────────────┴────────────┴───────┴────────┴──────────────┘ 2022 Feb 14, 08:45 (✨) /stocks/scr/ $ performance -p head_shoulders_inverse Finzin Screener ┌────────┬───────────┬────────────┬────────────┬───────────┬───────────┬──────────┬──────────────┬──────────────┬───────┬──────────────┬────────────┬───────┬────────┬──────────────┐ │ Ticker │ Perf Week │ Perf Month │ Perf Quart │ Perf Half │ Perf Year │ Perf YTD │ Volatility W │ Volatility M │ Recom │ Avg Volume │ Rel Volume │ Price │ Change │ Volume │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ YMAB │ 0.07 │ -0.36 │ -0.62 │ -0.72 │ -0.83 │ -0.49 │ 0.17 │ 0.13 │ 1.90 │ 606550.00 │ 29.55 │ 8.25 │ 0.26 │ 12286763.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ COE │ 0.80 │ 0.45 │ -0.33 │ -0.36 │ -0.94 │ 0.31 │ 0.21 │ 0.14 │ 2.50 │ 287550.00 │ 8.88 │ 1.59 │ 0.23 │ 2292209.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ KAVL │ 1.09 │ 1.88 │ 0.22 │ -0.63 │ -0.93 │ 2.01 │ 0.41 │ 0.24 │ │ 5800000.00 │ 34.99 │ 2.24 │ 0.23 │ 131650688.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ INCR │ 0.30 │ 0.21 │ 0.04 │ 0.31 │ -0.12 │ 0.27 │ 0.10 │ 0.06 │ │ 93280.00 │ 19.04 │ 8.20 │ 0.22 │ 1396666.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ RSVR │ 0.14 │ -0.01 │ -0.26 │ -0.08 │ -0.35 │ -0.11 │ 0.12 │ 0.07 │ 2.00 │ 91770.00 │ 3.76 │ 7.02 │ 0.21 │ 332318.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ COOP │ 0.29 │ 0.14 │ 0.13 │ 0.28 │ 0.65 │ 0.18 │ 0.06 │ 0.04 │ 2.10 │ 872470.00 │ 5.13 │ 49.22 │ 0.19 │ 4171073.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ AGFY │ 0.26 │ -0.08 │ -0.57 │ -0.71 │ -0.55 │ -0.07 │ 0.14 │ 0.13 │ 2.00 │ 743420.00 │ 2.64 │ 8.51 │ 0.19 │ 1933556.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ AZYO │ 0.21 │ 0.02 │ 0.03 │ -0.24 │ -0.59 │ 0.02 │ 0.06 │ 0.10 │ 2.00 │ 15940.00 │ 1.02 │ 6.41 │ 0.19 │ 16694.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ SNDL │ 0.25 │ 0.14 │ -0.08 │ -0.12 │ -0.68 │ 0.15 │ 0.11 │ 0.09 │ 3.20 │ 107080000.00 │ 2.30 │ 0.66 │ 0.19 │ 246995920.00 │ ├────────┼───────────┼────────────┼────────────┼───────────┼───────────┼──────────┼──────────────┼──────────────┼───────┼──────────────┼────────────┼───────┼────────┼──────────────┤ │ CRS │ 0.34 │ 0.19 │ 0.16 │ 0.05 │ 0.08 │ 0.33 │ 0.09 │ 0.07 │ 2.50 │ 437500.00 │ 4.48 │ 38.73 │ 0.17 │ 1839490.00 │ └────────┴───────────┴────────────┴────────────┴───────────┴───────────┴──────────┴──────────────┴──────────────┴───────┴──────────────┴────────────┴───────┴────────┴──────────────┘ "},{"id":721,"href":"/OpenBBTerminal/terminal/stocks/screener/set/","title":"Set","parent":"Screener","content":"usage: set [-p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}] [-h] Set preset from custom and default ones.\noptional arguments: -p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}, --preset {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse} Filter presets -h, --help show this help message "},{"id":722,"href":"/OpenBBTerminal/terminal/stocks/screener/technical/","title":"Technical","parent":"Screener","content":"usage: technical [-p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}] [-l LIMIT] [-a] [-s {Ticker,Beta,ATR,SMA20,SMA50,SMA200,52W High,52W Low,RSI,Price,Change,from Open,Gap,Volume} [{Ticker,Beta,ATR,SMA20,SMA50,SMA200,52W High,52W Low,RSI,Price,Change,from Open,Gap,Volume} ...]] [-h] [--export {csv,json,xlsx}] Prints technical data of the companies that meet the pre-set filtering. [Source: Finviz]\noptional arguments: -p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}, --preset {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse} Filter presets -l LIMIT, --limit LIMIT Limit of stocks to print -a, --ascend Set order to Ascend, the default is Descend -s {Ticker,Beta,ATR,SMA20,SMA50,SMA200,52W High,52W Low,RSI,Price,Change,from Open,Gap,Volume} [{Ticker,Beta,ATR,SMA20,SMA50,SMA200,52W High,52W Low,RSI,Price,Change,from Open,Gap,Volume} ...], --sort {Ticker,Beta,ATR,SMA20,SMA50,SMA200,52W High,52W Low,RSI,Price,Change,from Open,Gap,Volume} [{Ticker,Beta,ATR,SMA20,SMA50,SMA200,52W High,52W Low,RSI,Price,Change,from Open,Gap,Volume} ...] Sort elements of the table. -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx 2022 Feb 14, 08:53 (✨) /stocks/scr/ $ technical -p cheap_bottom_dividend Finzin Screener ┌────────┬───────┬───────┬───────┬───────┬────────┬──────────┬─────────┬───────┬────────┬────────┬───────────┬───────┬─────────────┐ │ Ticker │ Beta │ ATR │ SMA20 │ SMA50 │ SMA200 │ 52W High │ 52W Low │ RSI │ Price │ Change │ from Open │ Gap │ Volume │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZYNE │ 2.12 │ 0.17 │ 0.03 │ -0.08 │ -0.35 │ -0.67 │ 0.20 │ 46.60 │ 2.65 │ -0.07 │ -0.07 │ 0.00 │ 2010373.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZS │ 0.97 │ 16.67 │ 0.08 │ -0.03 │ 0.05 │ -0.27 │ 0.74 │ 52.90 │ 273.00 │ -0.04 │ -0.04 │ 0.00 │ 2014963.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZNGA │ -0.09 │ 0.31 │ 0.02 │ 0.22 │ 0.06 │ -0.26 │ 0.64 │ 70.17 │ 9.16 │ -0.00 │ 0.00 │ -0.00 │ 22552624.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZION │ 1.31 │ 2.26 │ 0.07 │ 0.11 │ 0.22 │ -0.03 │ 0.56 │ 64.14 │ 73.22 │ -0.01 │ -0.00 │ -0.01 │ 1226228.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZI │ │ 3.69 │ 0.10 │ -0.02 │ -0.04 │ -0.30 │ 0.47 │ 53.94 │ 55.69 │ -0.02 │ -0.03 │ 0.00 │ 3612070.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZGNX │ 0.90 │ 0.66 │ 0.07 │ 0.40 │ 0.56 │ -0.02 │ 1.37 │ 78.94 │ 26.15 │ -0.01 │ -0.00 │ -0.00 │ 1507686.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZG │ 1.54 │ 3.19 │ 0.08 │ -0.03 │ -0.39 │ -0.75 │ 0.22 │ 55.39 │ 53.92 │ 0.13 │ -0.01 │ 0.14 │ 8236415.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ Z │ │ 3.27 │ 0.09 │ -0.02 │ -0.37 │ -0.73 │ 0.24 │ 56.28 │ 55.40 │ 0.14 │ -0.01 │ 0.15 │ 50184008.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ YMAB │ 1.28 │ 1.16 │ -0.13 │ -0.39 │ -0.68 │ -0.84 │ 0.27 │ 37.67 │ 8.25 │ 0.26 │ 0.25 │ 0.01 │ 12286763.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ YELL │ 3.10 │ 0.81 │ -0.05 │ -0.14 │ 0.19 │ -0.35 │ 1.05 │ 43.45 │ 9.96 │ -0.05 │ -0.04 │ -0.01 │ 505353.00 │ └────────┴───────┴───────┴───────┴───────┴────────┴──────────┴─────────┴───────┴────────┴────────┴───────────┴───────┴─────────────┘ 2022 Feb 14, 08:53 (✨) /stocks/scr/ $ technical -p recent_insider_selling Finzin Screener ┌────────┬───────┬───────┬───────┬───────┬────────┬──────────┬─────────┬───────┬────────┬────────┬───────────┬───────┬─────────────┐ │ Ticker │ Beta │ ATR │ SMA20 │ SMA50 │ SMA200 │ 52W High │ 52W Low │ RSI │ Price │ Change │ from Open │ Gap │ Volume │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZYNE │ 2.12 │ 0.17 │ 0.03 │ -0.08 │ -0.35 │ -0.67 │ 0.20 │ 46.60 │ 2.65 │ -0.07 │ -0.07 │ 0.00 │ 2010373.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZS │ 0.97 │ 16.67 │ 0.08 │ -0.03 │ 0.05 │ -0.27 │ 0.74 │ 52.90 │ 273.00 │ -0.04 │ -0.04 │ 0.00 │ 2014963.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZNGA │ -0.09 │ 0.31 │ 0.02 │ 0.22 │ 0.06 │ -0.26 │ 0.64 │ 70.17 │ 9.16 │ -0.00 │ 0.00 │ -0.00 │ 22552624.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZION │ 1.31 │ 2.26 │ 0.07 │ 0.11 │ 0.22 │ -0.03 │ 0.56 │ 64.14 │ 73.22 │ -0.01 │ -0.00 │ -0.01 │ 1226228.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZI │ │ 3.69 │ 0.10 │ -0.02 │ -0.04 │ -0.30 │ 0.47 │ 53.94 │ 55.69 │ -0.02 │ -0.03 │ 0.00 │ 3612070.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZGNX │ 0.90 │ 0.66 │ 0.07 │ 0.40 │ 0.56 │ -0.02 │ 1.37 │ 78.94 │ 26.15 │ -0.01 │ -0.00 │ -0.00 │ 1507686.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ ZG │ 1.54 │ 3.19 │ 0.08 │ -0.03 │ -0.39 │ -0.75 │ 0.22 │ 55.39 │ 53.92 │ 0.13 │ -0.01 │ 0.14 │ 8236415.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ Z │ │ 3.27 │ 0.09 │ -0.02 │ -0.37 │ -0.73 │ 0.24 │ 56.28 │ 55.40 │ 0.14 │ -0.01 │ 0.15 │ 50184008.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ YMAB │ 1.28 │ 1.16 │ -0.13 │ -0.39 │ -0.68 │ -0.84 │ 0.27 │ 37.67 │ 8.25 │ 0.26 │ 0.25 │ 0.01 │ 12286763.00 │ ├────────┼───────┼───────┼───────┼───────┼────────┼──────────┼─────────┼───────┼────────┼────────┼───────────┼───────┼─────────────┤ │ YELL │ 3.10 │ 0.81 │ -0.05 │ -0.14 │ 0.19 │ -0.35 │ 1.05 │ 43.45 │ 9.96 │ -0.05 │ -0.04 │ -0.01 │ 505353.00 │ └────────┴───────┴───────┴───────┴───────┴────────┴──────────┴─────────┴───────┴────────┴────────┴───────────┴───────┴─────────────┘ "},{"id":723,"href":"/OpenBBTerminal/terminal/stocks/screener/valuation/","title":"Valuation","parent":"Screener","content":"usage: valuation [-p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}] [-l LIMIT] [-a] [-s {Ticker,Market Cap,P/E,Fwd P/E,PEG,P/S,P/B,P/C,P/FCF,EPS this Y,EPS next Y,EPS past 5Y,EPS next 5Y,Sales past 5Y,Price,Change,Volume} [{Ticker,Market Cap,P/E,Fwd P/E,PEG,P/S,P/B,P/C,P/FCF,EPS this Y,EPS next Y,EPS past 5Y,EPS next 5Y,Sales past 5Y,Price,Change,Volume} ...]] [-h] [--export {csv,json,xlsx}] Prints valuation data of the companies that meet the pre-set filtering. [Source: Finviz]\noptional arguments: -p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse}, --preset {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers,top_gainers,top_losers,new_high,new_low,most_volatile,most_active,unusual_volume,overbought,oversold,downgrades,upgrades,earnings_before,earnings_after,recent_insider_buying,recent_insider_selling,major_news,horizontal_sr,tl_resistance,tl_support,wedge_up,wedge_down,wedge,triangle_ascending,triangle_descending,channel_up,channel_down,channel,double_top,double_bottom,multiple_top,multiple_bottom,head_shoulders,head_shoulders_inverse} Filter presets -l LIMIT, --limit LIMIT Limit of stocks to print -a, --ascend Set order to Ascend, the default is Descend -s {Ticker,Market Cap,P/E,Fwd P/E,PEG,P/S,P/B,P/C,P/FCF,EPS this Y,EPS next Y,EPS past 5Y,EPS next 5Y,Sales past 5Y,Price,Change,Volume} [{Ticker,Market Cap,P/E,Fwd P/E,PEG,P/S,P/B,P/C,P/FCF,EPS this Y,EPS next Y,EPS past 5Y,EPS next 5Y,Sales past 5Y,Price,Change,Volume} ...], --sort {Ticker,Market Cap,P/E,Fwd P/E,PEG,P/S,P/B,P/C,P/FCF,EPS this Y,EPS next Y,EPS past 5Y,EPS next 5Y,Sales past 5Y,Price,Change,Volume} [{Ticker,Market Cap,P/E,Fwd P/E,PEG,P/S,P/B,P/C,P/FCF,EPS this Y,EPS next Y,EPS past 5Y,EPS next 5Y,Sales past 5Y,Price,Change,Volume} ...] Sort elements of the table. -h, --help show this help message --export {csv,json,xlsx} Export raw data into csv, json, xlsx 2022 Feb 14, 08:55 (✨) /stocks/scr/ $ valuation -p potential_reversals Finzin Screener ┌────────┬────────────────┬────────┬─────────┬───────┬───────┬───────┬───────┬────────┬────────────┬────────────┬─────────────┬─────────────┬───────────────┬────────┬────────┬─────────────┐ │ Ticker │ Market Cap │ P/E │ Fwd P/E │ PEG │ P/S │ P/B │ P/C │ P/FCF │ EPS this Y │ EPS next Y │ EPS past 5Y │ EPS next 5Y │ Sales past 5Y │ Price │ Change │ Volume │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZYNE │ 117100000.00 │ │ │ │ │ 1.35 │ 1.55 │ │ -0.27 │ -0.04 │ 0.08 │ │ │ 2.65 │ -0.07 │ 2010373.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZS │ 39800000000.00 │ │ 294.82 │ │ 52.30 │ 71.65 │ 25.12 │ 202.95 │ -1.17 │ 0.77 │ -0.44 │ 0.45 │ 0.53 │ 273.00 │ -0.04 │ 2014963.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZNGA │ 10270000000.00 │ │ 19.61 │ │ 3.67 │ 3.34 │ 7.67 │ 33.69 │ -0.03 │ 0.20 │ -0.26 │ 0.18 │ 0.21 │ 9.16 │ -0.00 │ 22552624.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZION │ 11600000000.00 │ 11.00 │ 12.68 │ │ 5.08 │ 1.60 │ 0.89 │ 67.04 │ -0.27 │ 0.16 │ 0.20 │ │ 0.05 │ 73.22 │ -0.01 │ 1226228.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZI │ 22650000000.00 │ 818.97 │ 81.18 │ 19.45 │ 34.08 │ 8.21 │ 97.09 │ 82.61 │ 0.53 │ 0.33 │ │ 0.42 │ │ 55.69 │ -0.02 │ 3612070.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZGNX │ 1470000000.00 │ │ │ │ 23.17 │ 6.52 │ 4.30 │ │ 0.60 │ 0.31 │ -0.15 │ │ -0.13 │ 26.15 │ -0.01 │ 1507686.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZG │ 12310000000.00 │ │ 19.08 │ │ 2.44 │ 2.57 │ 3.94 │ │ -1.92 │ 0.61 │ -0.12 │ │ 0.57 │ 53.92 │ 0.13 │ 8236415.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ Z │ 10370000000.00 │ │ 71.95 │ │ 2.05 │ 2.45 │ │ │ -3.43 │ 1.72 │ │ │ │ 55.40 │ 0.14 │ 50184008.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ YMAB │ 285860000.00 │ │ │ │ 6.21 │ 1.70 │ 1.33 │ │ -0.29 │ 0.12 │ │ │ │ 8.25 │ 0.26 │ 12286763.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ YELL │ 538640000.00 │ │ 9.31 │ │ 0.11 │ │ 1.73 │ │ -0.68 │ 0.24 │ -0.40 │ │ 0.02 │ 9.96 │ -0.05 │ 505353.00 │ └────────┴────────────────┴────────┴─────────┴───────┴───────┴───────┴───────┴────────┴────────────┴────────────┴─────────────┴─────────────┴───────────────┴────────┴────────┴─────────────┘ 2022 Feb 14, 08:56 (✨) /stocks/scr/ $ valuation -p major_news Finzin Screener ┌────────┬────────────────┬────────┬─────────┬───────┬───────┬───────┬───────┬────────┬────────────┬────────────┬─────────────┬─────────────┬───────────────┬────────┬────────┬─────────────┐ │ Ticker │ Market Cap │ P/E │ Fwd P/E │ PEG │ P/S │ P/B │ P/C │ P/FCF │ EPS this Y │ EPS next Y │ EPS past 5Y │ EPS next 5Y │ Sales past 5Y │ Price │ Change │ Volume │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZYNE │ 117100000.00 │ │ │ │ │ 1.35 │ 1.55 │ │ -0.27 │ -0.04 │ 0.08 │ │ │ 2.65 │ -0.07 │ 2010373.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZS │ 39800000000.00 │ │ 294.82 │ │ 52.30 │ 71.65 │ 25.12 │ 202.95 │ -1.17 │ 0.77 │ -0.44 │ 0.45 │ 0.53 │ 273.00 │ -0.04 │ 2014963.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZNGA │ 10270000000.00 │ │ 19.61 │ │ 3.67 │ 3.34 │ 7.67 │ 33.69 │ -0.03 │ 0.20 │ -0.26 │ 0.18 │ 0.21 │ 9.16 │ -0.00 │ 22552624.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZION │ 11600000000.00 │ 11.00 │ 12.68 │ │ 5.08 │ 1.60 │ 0.89 │ 67.04 │ -0.27 │ 0.16 │ 0.20 │ │ 0.05 │ 73.22 │ -0.01 │ 1226228.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZI │ 22650000000.00 │ 818.97 │ 81.18 │ 19.45 │ 34.08 │ 8.21 │ 97.09 │ 82.61 │ 0.53 │ 0.33 │ │ 0.42 │ │ 55.69 │ -0.02 │ 3612070.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZGNX │ 1470000000.00 │ │ │ │ 23.17 │ 6.52 │ 4.30 │ │ 0.60 │ 0.31 │ -0.15 │ │ -0.13 │ 26.15 │ -0.01 │ 1507686.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ ZG │ 12310000000.00 │ │ 19.08 │ │ 2.44 │ 2.57 │ 3.94 │ │ -1.92 │ 0.61 │ -0.12 │ │ 0.57 │ 53.92 │ 0.13 │ 8236415.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ Z │ 10370000000.00 │ │ 71.95 │ │ 2.05 │ 2.45 │ │ │ -3.43 │ 1.72 │ │ │ │ 55.40 │ 0.14 │ 50184008.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ YMAB │ 285860000.00 │ │ │ │ 6.21 │ 1.70 │ 1.33 │ │ -0.29 │ 0.12 │ │ │ │ 8.25 │ 0.26 │ 12286763.00 │ ├────────┼────────────────┼────────┼─────────┼───────┼───────┼───────┼───────┼────────┼────────────┼────────────┼─────────────┼─────────────┼───────────────┼────────┼────────┼─────────────┤ │ YELL │ 538640000.00 │ │ 9.31 │ │ 0.11 │ │ 1.73 │ │ -0.68 │ 0.24 │ -0.40 │ │ 0.02 │ 9.96 │ -0.05 │ 505353.00 │ └────────┴────────────────┴────────┴─────────┴───────┴───────┴───────┴───────┴────────┴────────────┴────────────┴─────────────┴─────────────┴───────────────┴────────┴────────┴─────────────┘ "},{"id":724,"href":"/OpenBBTerminal/terminal/stocks/screener/view/","title":"View","parent":"Screener","content":"usage: view [-p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers}] [-h] View available presets.\noptional arguments: -p {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers}, --preset {5pct_above_low,analyst_strong_buy,break_out_stocks,buffett_like,bull_runs_over_10pct,channel_up_and_low_debt_and_sma_50and200,cheap_bottom_dividend,cheap_dividend,cheap_oversold,continued_momentum_scan,death_cross,golden_cross,golden_cross_penny,growth_stocks,heavy_inst_ins,high_vol_and_low_debt,modified_dreman,modified_neff,news_scanner,oversold,oversold_under_3dol,oversold_under_5dol,potential_reversals,recent_growth_and_support,rosenwald,rosenwald_gtfo,sexy_year,short_squeeze_scan,simplistic_momentum_scanner_under_7dol,stocks_strong_support_levels,template,top_performers_all,top_performers_healthcare,top_performers_tech,undervalue,under_15dol_stocks,unusual_volume,value_stocks,weak_support_and_top_performers} View specific custom preset -h, --help show this help message Custom Presets: 5pct_above_low 5% Above Low analyst_strong_buy Analyst Strong Buy break_out_stocks Break out Stocks buffett_like Buffet like value screener (Value invsting for long term growth) bull_runs_over_10pct Bull runs over 10% channel_up_and_low_debt_and_sma_50and200 (Channel Up, Low Debt, Above 50 \u0026amp; 200 SMA) cheap_bottom_dividend High Yield Dividend stonks that are at-or-near their lowest price. Inverse Head and shoulders pattern recognized. cheap_dividend Cheap dividend stocks cheap_oversold Cheap stonks that are oversold: under 10% above the low, and oversold on the RSI. continued_momentum_scan Continued Momentum Scan death_cross When the 50 sma crosses below the 200 sma. More information can be found in https://www.investopedia.com/terms/d/deathcross.asp golden_cross Golden Cross when the 50 day moves above the200 day from below. golden_cross_penny Golden Cross growth_stocks Growth Stocks heavy_inst_ins Heavily owned by institutions and insiders (\u0026gt;30% each) high_vol_and_low_debt High Volume, NEW Volume, Low Debt modified_dreman Modified Version of the Dreman Screener. modified_neff Neff Screener with modifications // operational margin \u0026lt;50%. More information can be found in https://marketxls.com/template/neff-screen/ news_scanner News Scanner oversold Oversold oversold_under_3dol Oversold Under $3 oversold_under_5dol Oversold Under $5 potential_reversals Potential Reversals recent_growth_and_support Recent Growth, Support rosenwald The \u0026quot;classic rosenwald\u0026quot; screen based on some dude i work with best guess. rosenwald_gtfo Too many indicators indicating an impending crash. sexy_year This is just a sample. The user that adds the preset can add a description for what type of stocks these filters are aimed for short_squeeze_scan Short Squeeze Scan simplistic_momentum_scanner_under_7dol Simplistic Momentum Scanner Under $7 stocks_strong_support_levels Stocks Strong Support Levels template Template with all available filters and their options menu. More information can be found in https://finviz.com/help/screener.ashx and https://finviz.com/help/technical-analysis/charts-patterns.ashx top_performers_all Top performers (ALL) top_performers_healthcare Top performers (Healthcare) top_performers_tech Top performers (tech) undervalue Potential Undervalued stocks under_15dol_stocks Under $15 Stocks unusual_volume Unusual Volume value_stocks Value Stocks weak_support_and_top_performers (Weak Support Trendlines, Top Performers) Default Presets: top_gainers stocks with the highest %% price gain today top_losers stocks with the highest %% price loss today new_high stocks making 52-week high today new_low stocks making 52-week low today most_volatile stocks with the highest widest high/low trading range today most_active stocks with the highest trading volume today unusual_volume stocks with unusually high volume today - the highest relative volume ratio overbought stock is becoming overvalued and may experience a pullback. oversold oversold stocks may represent a buying opportunity for investors downgrades stocks downgraded by analysts today upgrades stocks upgraded by analysts today earnings_before companies reporting earnings today, before market open earnings_after companies reporting earnings today, after market close recent_insider_buying stocks with recent insider buying activity recent_insider_selling stocks with recent insider selling activity major_news stocks with the highest news coverage today horizontal_sr horizontal channel of price range between support and resistance trendlines tl_resistance once a rising trendline is broken tl_support once a falling trendline is broken wedge_up upward trendline support and upward trendline resistance (reversal) wedge_down downward trendline support and downward trendline resistance (reversal) wedge upward trendline support, downward trendline resistance (contiunation) triangle_ascending upward trendline support and horizontal trendline resistance triangle_descending horizontal trendline support and downward trendline resistance channel_up both support and resistance trendlines slope upward channel_down both support and resistance trendlines slope downward channel both support and resistance trendlines are horizontal double_top stock with 'M' shape that indicates a bearish reversal in trend double_bottom stock with 'W' shape that indicates a bullish reversal in trend multiple_top same as double_top hitting more highs multiple_bottom same as double_bottom hitting more lows head_shoulders chart formation that predicts a bullish-to-bearish trend reversal head_shoulders_inverse chart formation that predicts a bearish-to-bullish trend reversal "},{"id":725,"href":"/OpenBBTerminal/terminal/stocks/search/","title":"Search","parent":"Introduction to Stocks","content":"usage: search [-q QUERY] [-a AMOUNT] [-c {Afghanistan,Anguilla,Argentina,Australia,Austria,Azerbaijan,Bahamas,Bangladesh,Barbados,Belgium,Belize,Bermuda,Botswana,Brazil,British Virgin Islands,Cambodia,Canada,Cayman Islands,Chile,China,Colombia,Costa Rica,Cyprus,Czech Republic,Denmark,Dominican Republic,Egypt,Estonia,Falkland Islands,Finland,France,French Guiana,Gabon,Georgia,Germany,Ghana,Gibraltar,Greece,Greenland,Guernsey,Hong Kong,Hungary,Iceland,India,Indonesia,Ireland,Isle of Man,Israel,Italy,Ivory Coast,Japan,Jersey,Jordan,Kazakhstan,Kyrgyzstan,Latvia,Liechtenstein,Lithuania,Luxembourg,Macau,Macedonia,Malaysia,Malta,Mauritius,Mexico,Monaco,Mongolia,Montenegro,Morocco,Mozambique,Myanmar,Namibia,Netherlands,Netherlands Antilles,New Zealand,Nigeria,Norway,Panama,Papua New Guinea,Peru,Philippines,Poland,Portugal,Qatar,Reunion,Romania,Russia,Saudi Arabia,Senegal,Singapore,Slovakia,Slovenia,South Africa,South Korea,Spain,Suriname,Sweden,Switzerland,Taiwan,Tanzania,Thailand,Turkey,Ukraine,United Arab Emirates,United Kingdom,United States,Uruguay,Vietnam,Zambia}] [-s {,Basic Materials,Communication Services,Conglomerates,Consumer Cyclical,Consumer Defensive,Consumer Goods,Energy,Financial,Financial Services,Healthcare,Industrial Goods,Industrials,Real Estate,Services,Technology,Utilities}] [-i {,Advertising Agencies,Aerospace \u0026amp; Defense,Aerospace Defense - Major Diversified,Aerospace Defense Products \u0026amp; Services,Agricultural Chemicals,Agricultural Inputs,Air Delivery \u0026amp; Freight Services,Airlines,Airports \u0026amp; Air Services,Aluminum,Apparel Manufacturing,Apparel Retail,Apparel Stores,Asset Management,Auto \u0026amp; Truck Dealerships,Auto Dealerships,Auto Manufacturers,Auto Manufacturers - Major,Auto Parts,Banks - Diversified,Banks - Regional,Beverages - Brewers,Beverages - Non-Alcoholic,Beverages - Soft Drinks,Beverages - Wineries \u0026amp; Distilleries,Beverages - Wineries \u0026amp; Distillers,Biotechnology,Broadcasting,Broadcasting - TV,Building Materials,Building Products \u0026amp; Equipment,Business Equipment,Business Equipment \u0026amp; Supplies,Business Services,Business Software \u0026amp; Services,Capital Markets,Chemicals,Chemicals - Major Diversified,Cigarettes,Closed-End Fund - Equity,Coking Coal,Communication Equipment,Computer Based Systems,Computer Hardware,Confectioners,Conglomerates,Consulting Services,Consumer Electronics,Copper,Credit Services,Department Stores,Diagnostics \u0026amp; Research,Discount Stores,Discount, Variety Stores,Diversified Computer Systems,Diversified Electronics,Diversified Investments,Diversified Machinery,Diversified Utilities,Drug Manufacturers - General,Drug Manufacturers - Major,Drug Manufacturers - Other,Drug Manufacturers - Specialty \u0026amp; Generic,Drugs - Generic,Education \u0026amp; Training Services,Electric Utilities,Electrical Equipment \u0026amp; Parts,Electronic Components,Electronic Equipment,Electronic Gaming \u0026amp; Multimedia,Electronics \u0026amp; Computer Distribution,Electronics Wholesale,Engineering \u0026amp; Construction,Entertainment,Entertainment - Diversified,Farm \u0026amp; Construction Machinery,Farm \u0026amp; Heavy Construction Machinery,Farm Products,Financial Conglomerates,Financial Data \u0026amp; Stock Exchanges,Food - Major Diversified,Food Distribution,Food Wholesale,Footwear \u0026amp; Accessories,Furnishings, Fixtures \u0026amp; Appliances,Gambling,Gaming Activities,General Building Materials,General Contractors,Gold,Grocery Stores,Health Care Plans,Health Information Services,Healthcare Information Services,Healthcare Plans,Heavy Construction,Home Furnishings \u0026amp; Fixtures,Home Improvement Retail,Hospitals,Household \u0026amp; Personal Products,Independent Oil \u0026amp; Gas,Industrial Distribution,Industrial Equipment Wholesale,Industrial Metals \u0026amp; Minerals,Information Technology Services,Infrastructure Operations,Insurance - Diversified,Insurance - Life,Insurance - Property \u0026amp; Casualty,Insurance - Reinsurance,Insurance - Specialty,Insurance Brokers,Integrated Freight \u0026amp; Logistics,Internet Content \u0026amp; Information,Internet Information Providers,Internet Retail,Internet Service Providers,Internet Software \u0026amp; Services,Investment Brokerage - National,Jewelry Stores,Leisure,Life Insurance,Lodging,Long Distance Carriers,Lumber \u0026amp; Wood Production,Lumber, Wood Production,Luxury Goods,Machine Tools \u0026amp; Accessories,Major Airlines,Major Integrated Oil \u0026amp; Gas,Marine Shipping,Marketing Services,Medical Appliances \u0026amp; Equipment,Medical Care Facilities,Medical Devices,Medical Distribution,Medical Instruments \u0026amp; Supplies,Medical Laboratories \u0026amp; Research,Metal Fabrication,Money Center Banks,Mortgage Finance,Mortgage Investment,Multimedia \u0026amp; Graphics Software,Networking \u0026amp; Communication Devices,Nonmetallic Mineral Mining,Oil \u0026amp; Gas Drilling,Oil \u0026amp; Gas Drilling \u0026amp; Exploration,Oil \u0026amp; Gas E\u0026amp;P,Oil \u0026amp; Gas Equipment \u0026amp; Services,Oil \u0026amp; Gas Integrated,Oil \u0026amp; Gas Midstream,Oil \u0026amp; Gas Pipelines,Oil \u0026amp; Gas Refining \u0026amp; Marketing,Other Industrial Metals \u0026amp; Mining,Other Precious Metals \u0026amp; Mining,Packaged Foods,Packaging \u0026amp; Containers,Paper \u0026amp; Paper Products,Personal Products,Personal Services,Pharmaceutical Retailers,Pollution \u0026amp; Treatment Controls,Printed Circuit Boards,Processed \u0026amp; Packaged Goods,Property \u0026amp; Casualty Insurance,Property Management,Publishing,Publishing - Newspapers,REIT - Diversified,REIT - Healthcare Facilities,REIT - Hotel \u0026amp; Motel,REIT - Industrial,REIT - Mortgage,REIT - Office,REIT - Residential,REIT - Retail,REIT - Specialty,Railroads,Real Estate - Development,Real Estate - Diversified,Real Estate Development,Real Estate Services,Recreational Goods, Other,Recreational Vehicles,Regional - Mid-Atlantic Banks,Rental \u0026amp; Leasing Services,Research Services,Residential Construction,Resorts \u0026amp; Casinos,Restaurants,Rubber \u0026amp; Plastics,Scientific \u0026amp; Technical Instruments,Security \u0026amp; Protection Services,Security Software \u0026amp; Services,Semiconductor - Broad Line,Semiconductor Equipment \u0026amp; Materials,Semiconductor- Memory Chips,Semiconductors,Shell Companies,Shipping,Silver,Software - Application,Software - Infrastructure,Solar,Specialized Health Services,Specialty Business Services,Specialty Chemicals,Specialty Industrial Machinery,Specialty Retail,Specialty Retail, Other,Staffing \u0026amp; Employment Services,Staffing \u0026amp; Outsourcing Services,Steel,Steel \u0026amp; Iron,Technical \u0026amp; System Software,Telecom Services,Textile - Apparel Clothing,Textile - Apparel Footwear \u0026amp; Accessories,Textile Industrial,Textile Manufacturing,Thermal Coal,Tobacco,Tobacco Products, Other,Tools \u0026amp; Accessories,Travel Services,Trucking,Trucks \u0026amp; Other Vehicles,Uranium,Utilities - Diversified,Utilities - Independent Power Producers,Utilities - Regulated Electric,Utilities - Regulated Gas,Utilities - Regulated Water,Utilities - Renewable,Waste Management,Water Utilities,Wireless Communications}] [-e {USA,Argentina,Austria,Australia,Belgium,Brazil,Canada,Chile,China,Czech-Republic,Denmark,Egypt,Estonia,Europe,Finland,France,Germany,Greece,Hong-Kong,Hungary,Iceland,India,Indonesia,Ireland,Israel,Italy,Japan,Latvia,Lithuania,Malaysia,Mexico,Netherlands,New-Zealand,Norway,Portugal,Qatar,Russia,Singapore,South-Africa,South-Korea,Spain,Saudi-Arabia,Sweden,Switzerland,Taiwan,Thailand,Turkey,United-Kingdom,Venezuela}] [-h] [--export EXPORT] Show companies matching the search query. optional arguments: -q QUERY, --query QUERY The search term used to find company tickers. (default: ) -a AMOUNT, --amount AMOUNT Enter the number of Equities you wish to see in the table window. (default: 0) -c {Afghanistan,Anguilla,Argentina,Australia,Austria,Azerbaijan,Bahamas,Bangladesh,Barbados,Belgium,Belize,Bermuda,Botswana,Brazil,British Virgin Islands,Cambodia,Canada,Cayman Islands,Chile,China,Colombia,Costa Rica,Cyprus,Czech Republic,Denmark,Dominican Republic,Egypt,Estonia,Falkland Islands,Finland,France,French Guiana,Gabon,Georgia,Germany,Ghana,Gibraltar,Greece,Greenland,Guernsey,Hong Kong,Hungary,Iceland,India,Indonesia,Ireland,Isle of Man,Israel,Italy,Ivory Coast,Japan,Jersey,Jordan,Kazakhstan,Kyrgyzstan,Latvia,Liechtenstein,Lithuania,Luxembourg,Macau,Macedonia,Malaysia,Malta,Mauritius,Mexico,Monaco,Mongolia,Montenegro,Morocco,Mozambique,Myanmar,Namibia,Netherlands,Netherlands Antilles,New Zealand,Nigeria,Norway,Panama,Papua New Guinea,Peru,Philippines,Poland,Portugal,Qatar,Reunion,Romania,Russia,Saudi Arabia,Senegal,Singapore,Slovakia,Slovenia,South Africa,South Korea,Spain,Suriname,Sweden,Switzerland,Taiwan,Tanzania,Thailand,Turkey,Ukraine,United Arab Emirates,United Kingdom,United States,Uruguay,Vietnam,Zambia}, --country {Afghanistan,Anguilla,Argentina,Australia,Austria,Azerbaijan,Bahamas,Bangladesh,Barbados,Belgium,Belize,Bermuda,Botswana,Brazil,British Virgin Islands,Cambodia,Canada,Cayman Islands,Chile,China,Colombia,Costa Rica,Cyprus,Czech Republic,Denmark,Dominican Republic,Egypt,Estonia,Falkland Islands,Finland,France,French Guiana,Gabon,Georgia,Germany,Ghana,Gibraltar,Greece,Greenland,Guernsey,Hong Kong,Hungary,Iceland,India,Indonesia,Ireland,Isle of Man,Israel,Italy,Ivory Coast,Japan,Jersey,Jordan,Kazakhstan,Kyrgyzstan,Latvia,Liechtenstein,Lithuania,Luxembourg,Macau,Macedonia,Malaysia,Malta,Mauritius,Mexico,Monaco,Mongolia,Montenegro,Morocco,Mozambique,Myanmar,Namibia,Netherlands,Netherlands Antilles,New Zealand,Nigeria,Norway,Panama,Papua New Guinea,Peru,Philippines,Poland,Portugal,Qatar,Reunion,Romania,Russia,Saudi Arabia,Senegal,Singapore,Slovakia,Slovenia,South Africa,South Korea,Spain,Suriname,Sweden,Switzerland,Taiwan,Tanzania,Thailand,Turkey,Ukraine,United Arab Emirates,United Kingdom,United States,Uruguay,Vietnam,Zambia} Search by country to find stocks matching the criteria. (default: None) -s {,Basic Materials,Communication Services,Conglomerates,Consumer Cyclical,Consumer Defensive,Consumer Goods,Energy,Financial,Financial Services,Healthcare,Industrial Goods,Industrials,Real Estate,Services,Technology,Utilities}, --sector {,Basic Materials,Communication Services,Conglomerates,Consumer Cyclical,Consumer Defensive,Consumer Goods,Energy,Financial,Financial Services,Healthcare,Industrial Goods,Industrials,Real Estate,Services,Technology,Utilities} Search by sector to find stocks matching the criteria. (default: ) -i {,Advertising Agencies,Aerospace \u0026amp; Defense,Aerospace Defense - Major Diversified,Aerospace Defense Products \u0026amp; Services,Agricultural Chemicals,Agricultural Inputs,Air Delivery \u0026amp; Freight Services,Airlines,Airports \u0026amp; Air Services,Aluminum,Apparel Manufacturing,Apparel Retail,Apparel Stores,Asset Management,Auto \u0026amp; Truck Dealerships,Auto Dealerships,Auto Manufacturers,Auto Manufacturers - Major,Auto Parts,Banks - Diversified,Banks - Regional,Beverages - Brewers,Beverages - Non-Alcoholic,Beverages - Soft Drinks,Beverages - Wineries \u0026amp; Distilleries,Beverages - Wineries \u0026amp; Distillers,Biotechnology,Broadcasting,Broadcasting - TV,Building Materials,Building Products \u0026amp; Equipment,Business Equipment,Business Equipment \u0026amp; Supplies,Business Services,Business Software \u0026amp; Services,Capital Markets,Chemicals,Chemicals - Major Diversified,Cigarettes,Closed-End Fund - Equity,Coking Coal,Communication Equipment,Computer Based Systems,Computer Hardware,Confectioners,Conglomerates,Consulting Services,Consumer Electronics,Copper,Credit Services,Department Stores,Diagnostics \u0026amp; Research,Discount Stores,Discount, Variety Stores,Diversified Computer Systems,Diversified Electronics,Diversified Investments,Diversified Machinery,Diversified Utilities,Drug Manufacturers - General,Drug Manufacturers - Major,Drug Manufacturers - Other,Drug Manufacturers - Specialty \u0026amp; Generic,Drugs - Generic,Education \u0026amp; Training Services,Electric Utilities,Electrical Equipment \u0026amp; Parts,Electronic Components,Electronic Equipment,Electronic Gaming \u0026amp; Multimedia,Electronics \u0026amp; Computer Distribution,Electronics Wholesale,Engineering \u0026amp; Construction,Entertainment,Entertainment - Diversified,Farm \u0026amp; Construction Machinery,Farm \u0026amp; Heavy Construction Machinery,Farm Products,Financial Conglomerates,Financial Data \u0026amp; Stock Exchanges,Food - Major Diversified,Food Distribution,Food Wholesale,Footwear \u0026amp; Accessories,Furnishings, Fixtures \u0026amp; Appliances,Gambling,Gaming Activities,General Building Materials,General Contractors,Gold,Grocery Stores,Health Care Plans,Health Information Services,Healthcare Information Services,Healthcare Plans,Heavy Construction,Home Furnishings \u0026amp; Fixtures,Home Improvement Retail,Hospitals,Household \u0026amp; Personal Products,Independent Oil \u0026amp; Gas,Industrial Distribution,Industrial Equipment Wholesale,Industrial Metals \u0026amp; Minerals,Information Technology Services,Infrastructure Operations,Insurance - Diversified,Insurance - Life,Insurance - Property \u0026amp; Casualty,Insurance - Reinsurance,Insurance - Specialty,Insurance Brokers,Integrated Freight \u0026amp; Logistics,Internet Content \u0026amp; Information,Internet Information Providers,Internet Retail,Internet Service Providers,Internet Software \u0026amp; Services,Investment Brokerage - National,Jewelry Stores,Leisure,Life Insurance,Lodging,Long Distance Carriers,Lumber \u0026amp; Wood Production,Lumber, Wood Production,Luxury Goods,Machine Tools \u0026amp; Accessories,Major Airlines,Major Integrated Oil \u0026amp; Gas,Marine Shipping,Marketing Services,Medical Appliances \u0026amp; Equipment,Medical Care Facilities,Medical Devices,Medical Distribution,Medical Instruments \u0026amp; Supplies,Medical Laboratories \u0026amp; Research,Metal Fabrication,Money Center Banks,Mortgage Finance,Mortgage Investment,Multimedia \u0026amp; Graphics Software,Networking \u0026amp; Communication Devices,Nonmetallic Mineral Mining,Oil \u0026amp; Gas Drilling,Oil \u0026amp; Gas Drilling \u0026amp; Exploration,Oil \u0026amp; Gas E\u0026amp;P,Oil \u0026amp; Gas Equipment \u0026amp; Services,Oil \u0026amp; Gas Integrated,Oil \u0026amp; Gas Midstream,Oil \u0026amp; Gas Pipelines,Oil \u0026amp; Gas Refining \u0026amp; Marketing,Other Industrial Metals \u0026amp; Mining,Other Precious Metals \u0026amp; Mining,Packaged Foods,Packaging \u0026amp; Containers,Paper \u0026amp; Paper Products,Personal Products,Personal Services,Pharmaceutical Retailers,Pollution \u0026amp; Treatment Controls,Printed Circuit Boards,Processed \u0026amp; Packaged Goods,Property \u0026amp; Casualty Insurance,Property Management,Publishing,Publishing - Newspapers,REIT - Diversified,REIT - Healthcare Facilities,REIT - Hotel \u0026amp; Motel,REIT - Industrial,REIT - Mortgage,REIT - Office,REIT - Residential,REIT - Retail,REIT - Specialty,Railroads,Real Estate - Development,Real Estate - Diversified,Real Estate Development,Real Estate Services,Recreational Goods, Other,Recreational Vehicles,Regional - Mid-Atlantic Banks,Rental \u0026amp; Leasing Services,Research Services,Residential Construction,Resorts \u0026amp; Casinos,Restaurants,Rubber \u0026amp; Plastics,Scientific \u0026amp; Technical Instruments,Security \u0026amp; Protection Services,Security Software \u0026amp; Services,Semiconductor - Broad Line,Semiconductor Equipment \u0026amp; Materials,Semiconductor- Memory Chips,Semiconductors,Shell Companies,Shipping,Silver,Software - Application,Software - Infrastructure,Solar,Specialized Health Services,Specialty Business Services,Specialty Chemicals,Specialty Industrial Machinery,Specialty Retail,Specialty Retail, Other,Staffing \u0026amp; Employment Services,Staffing \u0026amp; Outsourcing Services,Steel,Steel \u0026amp; Iron,Technical \u0026amp; System Software,Telecom Services,Textile - Apparel Clothing,Textile - Apparel Footwear \u0026amp; Accessories,Textile Industrial,Textile Manufacturing,Thermal Coal,Tobacco,Tobacco Products, Other,Tools \u0026amp; Accessories,Travel Services,Trucking,Trucks \u0026amp; Other Vehicles,Uranium,Utilities - Diversified,Utilities - Independent Power Producers,Utilities - Regulated Electric,Utilities - Regulated Gas,Utilities - Regulated Water,Utilities - Renewable,Waste Management,Water Utilities,Wireless Communications}, --industry {,Advertising Agencies,Aerospace \u0026amp; Defense,Aerospace Defense - Major Diversified,Aerospace Defense Products \u0026amp; Services,Agricultural Chemicals,Agricultural Inputs,Air Delivery \u0026amp; Freight Services,Airlines,Airports \u0026amp; Air Services,Aluminum,Apparel Manufacturing,Apparel Retail,Apparel Stores,Asset Management,Auto \u0026amp; Truck Dealerships,Auto Dealerships,Auto Manufacturers,Auto Manufacturers - Major,Auto Parts,Banks - Diversified,Banks - Regional,Beverages - Brewers,Beverages - Non-Alcoholic,Beverages - Soft Drinks,Beverages - Wineries \u0026amp; Distilleries,Beverages - Wineries \u0026amp; Distillers,Biotechnology,Broadcasting,Broadcasting - TV,Building Materials,Building Products \u0026amp; Equipment,Business Equipment,Business Equipment \u0026amp; Supplies,Business Services,Business Software \u0026amp; Services,Capital Markets,Chemicals,Chemicals - Major Diversified,Cigarettes,Closed-End Fund - Equity,Coking Coal,Communication Equipment,Computer Based Systems,Computer Hardware,Confectioners,Conglomerates,Consulting Services,Consumer Electronics,Copper,Credit Services,Department Stores,Diagnostics \u0026amp; Research,Discount Stores,Discount, Variety Stores,Diversified Computer Systems,Diversified Electronics,Diversified Investments,Diversified Machinery,Diversified Utilities,Drug Manufacturers - General,Drug Manufacturers - Major,Drug Manufacturers - Other,Drug Manufacturers - Specialty \u0026amp; Generic,Drugs - Generic,Education \u0026amp; Training Services,Electric Utilities,Electrical Equipment \u0026amp; Parts,Electronic Components,Electronic Equipment,Electronic Gaming \u0026amp; Multimedia,Electronics \u0026amp; Computer Distribution,Electronics Wholesale,Engineering \u0026amp; Construction,Entertainment,Entertainment - Diversified,Farm \u0026amp; Construction Machinery,Farm \u0026amp; Heavy Construction Machinery,Farm Products,Financial Conglomerates,Financial Data \u0026amp; Stock Exchanges,Food - Major Diversified,Food Distribution,Food Wholesale,Footwear \u0026amp; Accessories,Furnishings, Fixtures \u0026amp; Appliances,Gambling,Gaming Activities,General Building Materials,General Contractors,Gold,Grocery Stores,Health Care Plans,Health Information Services,Healthcare Information Services,Healthcare Plans,Heavy Construction,Home Furnishings \u0026amp; Fixtures,Home Improvement Retail,Hospitals,Household \u0026amp; Personal Products,Independent Oil \u0026amp; Gas,Industrial Distribution,Industrial Equipment Wholesale,Industrial Metals \u0026amp; Minerals,Information Technology Services,Infrastructure Operations,Insurance - Diversified,Insurance - Life,Insurance - Property \u0026amp; Casualty,Insurance - Reinsurance,Insurance - Specialty,Insurance Brokers,Integrated Freight \u0026amp; Logistics,Internet Content \u0026amp; Information,Internet Information Providers,Internet Retail,Internet Service Providers,Internet Software \u0026amp; Services,Investment Brokerage - National,Jewelry Stores,Leisure,Life Insurance,Lodging,Long Distance Carriers,Lumber \u0026amp; Wood Production,Lumber, Wood Production,Luxury Goods,Machine Tools \u0026amp; Accessories,Major Airlines,Major Integrated Oil \u0026amp; Gas,Marine Shipping,Marketing Services,Medical Appliances \u0026amp; Equipment,Medical Care Facilities,Medical Devices,Medical Distribution,Medical Instruments \u0026amp; Supplies,Medical Laboratories \u0026amp; Research,Metal Fabrication,Money Center Banks,Mortgage Finance,Mortgage Investment,Multimedia \u0026amp; Graphics Software,Networking \u0026amp; Communication Devices,Nonmetallic Mineral Mining,Oil \u0026amp; Gas Drilling,Oil \u0026amp; Gas Drilling \u0026amp; Exploration,Oil \u0026amp; Gas E\u0026amp;P,Oil \u0026amp; Gas Equipment \u0026amp; Services,Oil \u0026amp; Gas Integrated,Oil \u0026amp; Gas Midstream,Oil \u0026amp; Gas Pipelines,Oil \u0026amp; Gas Refining \u0026amp; Marketing,Other Industrial Metals \u0026amp; Mining,Other Precious Metals \u0026amp; Mining,Packaged Foods,Packaging \u0026amp; Containers,Paper \u0026amp; Paper Products,Personal Products,Personal Services,Pharmaceutical Retailers,Pollution \u0026amp; Treatment Controls,Printed Circuit Boards,Processed \u0026amp; Packaged Goods,Property \u0026amp; Casualty Insurance,Property Management,Publishing,Publishing - Newspapers,REIT - Diversified,REIT - Healthcare Facilities,REIT - Hotel \u0026amp; Motel,REIT - Industrial,REIT - Mortgage,REIT - Office,REIT - Residential,REIT - Retail,REIT - Specialty,Railroads,Real Estate - Development,Real Estate - Diversified,Real Estate Development,Real Estate Services,Recreational Goods, Other,Recreational Vehicles,Regional - Mid-Atlantic Banks,Rental \u0026amp; Leasing Services,Research Services,Residential Construction,Resorts \u0026amp; Casinos,Restaurants,Rubber \u0026amp; Plastics,Scientific \u0026amp; Technical Instruments,Security \u0026amp; Protection Services,Security Software \u0026amp; Services,Semiconductor - Broad Line,Semiconductor Equipment \u0026amp; Materials,Semiconductor- Memory Chips,Semiconductors,Shell Companies,Shipping,Silver,Software - Application,Software - Infrastructure,Solar,Specialized Health Services,Specialty Business Services,Specialty Chemicals,Specialty Industrial Machinery,Specialty Retail,Specialty Retail, Other,Staffing \u0026amp; Employment Services,Staffing \u0026amp; Outsourcing Services,Steel,Steel \u0026amp; Iron,Technical \u0026amp; System Software,Telecom Services,Textile - Apparel Clothing,Textile - Apparel Footwear \u0026amp; Accessories,Textile Industrial,Textile Manufacturing,Thermal Coal,Tobacco,Tobacco Products, Other,Tools \u0026amp; Accessories,Travel Services,Trucking,Trucks \u0026amp; Other Vehicles,Uranium,Utilities - Diversified,Utilities - Independent Power Producers,Utilities - Regulated Electric,Utilities - Regulated Gas,Utilities - Regulated Water,Utilities - Renewable,Waste Management,Water Utilities,Wireless Communications} Search by industry to find stocks matching the criteria. (default: ) -e {USA,Argentina,Austria,Australia,Belgium,Brazil,Canada,Chile,China,Czech-Republic,Denmark,Egypt,Estonia,Europe,Finland,France,Germany,Greece,Hong-Kong,Hungary,Iceland,India,Indonesia,Ireland,Israel,Italy,Japan,Latvia,Lithuania,Malaysia,Mexico,Netherlands,New-Zealand,Norway,Portugal,Qatar,Russia,Singapore,South-Africa,South-Korea,Spain,Saudi-Arabia,Sweden,Switzerland,Taiwan,Thailand,Turkey,United-Kingdom,Venezuela}, --exchange {USA,Argentina,Austria,Australia,Belgium,Brazil,Canada,Chile,China,Czech-Republic,Denmark,Egypt,Estonia,Europe,Finland,France,Germany,Greece,Hong-Kong,Hungary,Iceland,India,Indonesia,Ireland,Israel,Italy,Japan,Latvia,Lithuania,Malaysia,Mexico,Netherlands,New-Zealand,Norway,Portugal,Qatar,Russia,Singapore,South-Africa,South-Korea,Spain,Saudi-Arabia,Sweden,Switzerland,Taiwan,Thailand,Turkey,United-Kingdom,Venezuela} Search by a specific exchange country to find stocks matching the criteria. (default: ) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx (default: ) "},{"id":726,"href":"/OpenBBTerminal/terminal/stocks/sia/clear/","title":"Clear","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: clear [-p {industry,sector,country,mktcap}] [-h] Clear all or a particular parameter\noptional arguments: -p {industry,sector,country,mktcap}, --parameter {industry,sector,country,mktcap} parameter to clear (default: None) -h, --help show this help message (default: False) "},{"id":727,"href":"/OpenBBTerminal/terminal/stocks/sia/country/","title":"Country","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: country [-n NAME [NAME ...]] [-h] See existing countries, or set country if arg specified\noptional arguments: -n NAME [NAME ...], --name NAME [NAME ...] country to select (default: None) -h, --help show this help message (default: False) List of countries\nAustralia Austria Belgium Bermuda Brazil British Virgin Islands Canada Cayman Islands Chile China Colombia Cyprus Denmark Finland France Germany Greece Guernsey Hong Kong India Indonesia Ireland Isle of Man Israel Italy Japan Jersey Latvia Lithuania Luxembourg Malaysia Malta Mauritius Mexico Myanmar Netherlands Netherlands Antilles New Zealand Norway Poland Portugal Qatar Russia Saudi Arabia Singapore Slovenia South Africa South Korea Spain Sweden Switzerland Taiwan Thailand Turkey United Kingdom United States "},{"id":728,"href":"/OpenBBTerminal/terminal/stocks/sia/cpci/","title":"Cpci","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: cpci [-M MAX_COUNTRIES_TO_DISPLAY] [-m MIN_PCT_TO_DISPLAY_COUNTRY] [-r] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Companies per Country based on Industry and Market Cap\noptional arguments: -M MAX_COUNTRIES_TO_DISPLAY, --max MAX_COUNTRIES_TO_DISPLAY Maximum number of countries to display (default: 15) -m MIN_PCT_TO_DISPLAY_COUNTRY, --min MIN_PCT_TO_DISPLAY_COUNTRY Minimum percentage to display country (default: 0.015) -r, --raw Output all raw data (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":729,"href":"/OpenBBTerminal/terminal/stocks/sia/cpcs/","title":"Cpcs","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: cpcs [-M MAX_COUNTRIES_TO_DISPLAY] [-m MIN_PCT_TO_DISPLAY_COUNTRY] [-r] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Companies per Country based on Sector and Market Cap\noptional arguments: -M MAX_COUNTRIES_TO_DISPLAY, --max MAX_COUNTRIES_TO_DISPLAY Maximum number of countries to display (default: 15) -m MIN_PCT_TO_DISPLAY_COUNTRY, --min MIN_PCT_TO_DISPLAY_COUNTRY Minimum percentage to display country (default: 0.015) -r, --raw Output all raw data (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":730,"href":"/OpenBBTerminal/terminal/stocks/sia/cpic/","title":"Cpic","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: cpic [-M MAX_INDUSTRIES_TO_DISPLAY] [-m MIN_PCT_TO_DISPLAY_INDUSTRY] [-r] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Companies per Industry based on Country and Market Cap\noptional arguments: -M MAX_INDUSTRIES_TO_DISPLAY, --max MAX_INDUSTRIES_TO_DISPLAY Maximum number of industries to display (default: 15) -m MIN_PCT_TO_DISPLAY_INDUSTRY, --min MIN_PCT_TO_DISPLAY_INDUSTRY Minimum percentage to display industry (default: 0.015) -r, --raw Output all raw data (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":731,"href":"/OpenBBTerminal/terminal/stocks/sia/cpis/","title":"Cpis","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: cpis [-M MAX_INDUSTRIES_TO_DISPLAY] [-m MIN_PCT_TO_DISPLAY_INDUSTRY] [-r] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Companies per Industry based on Sector and Market Cap\noptional arguments: -M MAX_INDUSTRIES_TO_DISPLAY, --max MAX_INDUSTRIES_TO_DISPLAY Maximum number of industries to display (default: 15) -m MIN_PCT_TO_DISPLAY_INDUSTRY, --min MIN_PCT_TO_DISPLAY_INDUSTRY Minimum percentage to display industry (default: 0.015) -r, --raw Output all raw data (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":732,"href":"/OpenBBTerminal/terminal/stocks/sia/cps/","title":"Cps","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: cps [-M MAX_SECTORS_TO_DISPLAY] [-m MIN_PCT_TO_DISPLAY_SECTOR] [-r] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] Companies per sector in the selected country.\noptional arguments: -M MAX_SECTORS_TO_DISPLAY, --max MAX_SECTORS_TO_DISPLAY Maximum number of sectors to display (default: 15) -m MIN_PCT_TO_DISPLAY_SECTOR, --min MIN_PCT_TO_DISPLAY_SECTOR Minimum percentage to display sector (default: 0.015) -r, --raw Output all raw data (default: False) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) "},{"id":733,"href":"/OpenBBTerminal/terminal/stocks/sia/exchange/","title":"Exchange","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: exchange [-h] Swap the exclude international exchanges flag.\noptional arguments: -h, --help show this help message (default: False) "},{"id":734,"href":"/OpenBBTerminal/terminal/stocks/sia/industry/","title":"Industry","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: industry [-n NAME [NAME ...]] [-h] See existing industries, or set industry if arg specified\noptional arguments: -n NAME [NAME ...], --name NAME [NAME ...] industry to select (default: None) -h, --help show this help message (default: False) Available Industries to select:\nAerospace \u0026amp; Defense Aerospace Defense - Major Diversified Aerospace Defense Products \u0026amp; Services Agricultural Chemicals Agricultural Inputs Air Delivery \u0026amp; Freight Services Airlines Airports \u0026amp; Air Services Aluminum Apparel Manufacturing Apparel Retail Apparel Stores Asset Management Auto \u0026amp; Truck Dealerships Auto Dealerships Auto Manufacturers Auto Manufacturers - Major Auto Parts Banks - Diversified Banks - Regional Beverages - Brewers Beverages - Non-Alcoholic Beverages - Soft Drinks Beverages - Wineries \u0026amp; Distilleries Beverages - Wineries \u0026amp; Distillers Biotechnology Broadcasting Broadcasting - TV Building Materials Building Products \u0026amp; Equipment Business Equipment Business Equipment \u0026amp; Supplies Business Services Business Software \u0026amp; Services Capital Markets Chemicals Chemicals - Major Diversified Cigarettes Closed-End Fund - Equity Coking Coal Communication Equipment Computer Based Systems Computer Hardware Confectioners Conglomerates Consulting Services Consumer Electronics Copper Credit Services Department Stores Diagnostics \u0026amp; Research Discount Stores Discount, Variety Stores Diversified Computer Systems Diversified Electronics Diversified Investments Diversified Machinery Diversified Utilities Drug Manufacturers - General Drug Manufacturers - Major Drug Manufacturers - Other Drug Manufacturers - Specialty \u0026amp; Generic Drugs - Generic Education \u0026amp; Training Services Electric Utilities Electrical Equipment \u0026amp; Parts Electronic Components Electronic Equipment Electronic Gaming \u0026amp; Multimedia Electronics \u0026amp; Computer Distribution Electronics Wholesale Engineering \u0026amp; Construction Entertainment Entertainment - Diversified Farm \u0026amp; Construction Machinery Farm \u0026amp; Heavy Construction Machinery Farm Products Financial Conglomerates Financial Data \u0026amp; Stock Exchanges Food - Major Diversified Food Distribution Food Wholesale Footwear \u0026amp; Accessories Furnishings, Fixtures \u0026amp; Appliances Gambling Gaming Activities General Building Materials General Contractors Gold Grocery Stores Health Care Plans Health Information Services Healthcare Information Services Healthcare Plans Heavy Construction Home Furnishings \u0026amp; Fixtures Home Improvement Retail Hospitals Household \u0026amp; Personal Products Independent Oil \u0026amp; Gas Industrial Distribution Industrial Equipment Wholesale Industrial Metals \u0026amp; Minerals Information Technology Services Infrastructure Operations Insurance - Diversified Insurance - Life Insurance - Property \u0026amp; Casualty Insurance - Reinsurance Insurance - Specialty Insurance Brokers Integrated Freight \u0026amp; Logistics Internet Content \u0026amp; Information Internet Information Providers Internet Retail Internet Service Providers Internet Software \u0026amp; Services Investment Brokerage - National Jewelry Stores Leisure Life Insurance Lodging Long Distance Carriers Lumber \u0026amp; Wood Production Lumber, Wood Production Luxury Goods Machine Tools \u0026amp; Accessories Major Airlines Major Integrated Oil \u0026amp; Gas Marine Shipping Marketing Services Medical Appliances \u0026amp; Equipment Medical Care Facilities Medical Devices Medical Distribution Medical Instruments \u0026amp; Supplies Medical Laboratories \u0026amp; Research Metal Fabrication Money Center Banks Mortgage Finance Mortgage Investment Multimedia \u0026amp; Graphics Software Networking \u0026amp; Communication Devices Nonmetallic Mineral Mining Oil \u0026amp; Gas Drilling Oil \u0026amp; Gas Drilling \u0026amp; Exploration Oil \u0026amp; Gas E\u0026amp;P Oil \u0026amp; Gas Equipment \u0026amp; Services Oil \u0026amp; Gas Integrated Oil \u0026amp; Gas Midstream Oil \u0026amp; Gas Pipelines Oil \u0026amp; Gas Refining \u0026amp; Marketing Other Industrial Metals \u0026amp; Mining Other Precious Metals \u0026amp; Mining Packaged Foods Packaging \u0026amp; Containers Paper \u0026amp; Paper Products Personal Products Personal Services Pharmaceutical Retailers Pollution \u0026amp; Treatment Controls Printed Circuit Boards Processed \u0026amp; Packaged Goods Property \u0026amp; Casualty Insurance Property Management Publishing Publishing - Newspapers REIT - Diversified REIT - Healthcare Facilities REIT - Hotel \u0026amp; Motel REIT - Industrial REIT - Mortgage REIT - Office REIT - Residential REIT - Retail REIT - Specialty Railroads Real Estate - Development Real Estate - Diversified Real Estate Development Real Estate Services Recreational Goods, Other Recreational Vehicles Regional - Mid-Atlantic Banks Rental \u0026amp; Leasing Services Research Services Residential Construction Resorts \u0026amp; Casinos Restaurants Rubber \u0026amp; Plastics Scientific \u0026amp; Technical Instruments Security \u0026amp; Protection Services Security Software \u0026amp; Services Semiconductor - Broad Line Semiconductor Equipment \u0026amp; Materials Semiconductor- Memory Chips Semiconductors Shell Companies Shipping Silver Software - Application Software - Infrastructure Solar Specialized Health Services Specialty Business Services Specialty Chemicals Specialty Industrial Machinery Specialty Retail Specialty Retail, Other Staffing \u0026amp; Employment Services Staffing \u0026amp; Outsourcing Services Steel Steel \u0026amp; Iron Technical \u0026amp; System Software Telecom Services Textile - Apparel Clothing Textile - Apparel Footwear \u0026amp; Accessories Textile Industrial Textile Manufacturing Thermal Coal Tobacco Tobacco Products, Other Tools \u0026amp; Accessories Travel Services Trucking Trucks \u0026amp; Other Vehicles Uranium Utilities - Diversified Utilities - Independent Power Producers Utilities - Regulated Electric Utilities - Regulated Gas Utilities - Regulated Water Utilities - Renewable Waste Management Water Utilities Wireless Communications "},{"id":735,"href":"/OpenBBTerminal/terminal/stocks/sia/load/","title":"Load","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: load [-t TICKER] [-h] Load stock ticker and alter the industry, sector, country and market cap accordingly for this ticker.\noptional arguments: -t TICKER, --ticker TICKER Stock ticker (default: None) -h, --help show this help message (default: False) "},{"id":736,"href":"/OpenBBTerminal/terminal/stocks/sia/metric/","title":"Metric","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: metric [-m {roa,roe,cr,qr,de,tc,tcs,tr,rps,rg,eg,pm,gp,gm,ocf,om,fcf,td,ebitda,ebitdam,rec,mc,fte,er,bv,ss,pb,beta,fs,peg,ev,fpe}] [-l LIMIT] [-r] [-h] [--export EXPORT] Visualise a particular metric with the filters selected [source: Yahoo Finance]\noptional arguments: -m {roa,roe,cr,qr,de,tc,tcs,tr,rps,rg,eg,pm,gp,gm,ocf,om,fcf,td,ebitda,ebitdam,rec,mc,fte,er,bv,ss,pb,beta,fs,peg,ev,fpe}, --metric {roa,roe,cr,qr,de,tc,tcs,tr,rps,rg,eg,pm,gp,gm,ocf,om,fcf,td,ebitda,ebitdam,rec,mc,fte,er,bv,ss,pb,beta,fs,peg,ev,fpe} Metric to visualize (default: None) -l LIMIT, --limit LIMIT Limit number of companies to display (default: 10) -r, --raw Output all raw data (default: False) -h, --help show this help message (default: False) --export EXPORT Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) Return on Equity example:\n│ Industry : Software - Infrastructure │ │ Sector : Technology │ │ Country : United States │ │ Market Cap : Large │ │ Exclude Exchanges : True │ │ Period : Annual 2022 Mar 21, 09:51 (✨) /stocks/sia/ $ metric roe Full Time Employees example:\n│ Industry : Financial Data \u0026amp; Stock Exchanges │ │ Sector : Financial Services │ │ Country : United States │ │ Market Cap : Large │ │ Exclude Exchanges : True │ │ Period : Annual 2022 Mar 21, 09:55 (✨) /stocks/sia/ $ metric fte "},{"id":737,"href":"/OpenBBTerminal/terminal/stocks/sia/mktcap/","title":"Mktcap","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: mktcap [-n {Nano,Micro,Small,Mid,Large,Mega,nano,micro,small,mid,large,mega}] [-h] Set mktcap to nano, micro, small, mid, large or mega.\noptional arguments: -n {Nano,Micro,Small,Mid,Large,Mega,nano,micro,small,mid,large,mega}, --name {Nano,Micro,Small,Mid,Large,Mega,nano,micro,small,mid,large,mega} market cap to select (default: None) -h, --help show this help message (default: False) "},{"id":738,"href":"/OpenBBTerminal/terminal/stocks/sia/period/","title":"Period","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: period [-n {Annual,Quarterly,Trailing,annual,quarterly,trailing}] [-h] Set period between annual, quarterly and trailing\noptional arguments: -n {Annual,Quarterly,Trailing,annual,quarterly,trailing}, --name {Annual,Quarterly,Trailing,annual,quarterly,trailing} period to select (default: None) -h, --help show this help message (default: False) "},{"id":739,"href":"/OpenBBTerminal/terminal/stocks/sia/sama/","title":"Sama","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: sama [-h] See all metrics available\noptional arguments: -h, --help show this help message (default: False) Available metrics\n roa return on assets roe return on equity cr current ratio qr quick ratio de debt to equity tc total cash tcs total cash per share tr total revenue rps revenue per share rg revenue growth eg earnings growth pm profit margins gp gross profits gm gross margins ocf operating cash flow om operating margins fcf free cash flow td total debt ebitda earnings before interest, taxes, depreciation and amortization ebitdam ebitda margins rec recommendation mean mc market cap fte full time employees er enterprise to revenue bv book value ss shares short pb price to book beta beta fs float shares sr short ratio peg peg ratio ev enterprise value fpe forward P/E "},{"id":740,"href":"/OpenBBTerminal/terminal/stocks/sia/satma/","title":"Satma","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: satma [-s {BS,bs,IS,is,CF,cf,}] [-h] See all balance sheet, income and cash flow statement metrics available [source: StockAnalysis]\noptional arguments: -s {BS,bs,IS,is,CF,cf,}, --statement {BS,bs,IS,is,CF,cf,} See all metrics available for the given choice (default: None) -h, --help show this help message (default: False) The current list of available options is:\nBalance Sheet Statement ce Cash \u0026amp; Equivalents sti Short-Term Investments cce Cash \u0026amp; Cash Equivalents rec Receivables inv Inventory oca Other Current Assets tca Total Current Assets ppe Property, Plant \u0026amp; Equipment lti Long-Term Investments gai Goodwill and Intangibles olta Other Long-Term Assets tlta Total Long-Term Assets ta Total Assets ap Accounts Payable dr Deferred Revenue cd Current Debt ocl Other Current Liabilities tcl Total Current Liabilities ltd Long-Term Debt oltl Other Long-Term Liabilities tltl Total Long-Term Liabilities tl Total Liabilities ret Retained Earnings ci Comprehensive Income se Shareholders' Equity tle Total Liabilities and Equity Income Statement re Revenue cr Cost of Revenue gp Gross Profit sga Selling, Genera \u0026amp; Admin rd Research \u0026amp; Development ooe Other Operating Expenses oi Operating Income ie Interest Expense / Income oe Other Expense / Income it Income Tax ni Net Income pd Preferred Dividends Cash Flow Statement ninc Net Income da Depreciation \u0026amp; Amortization sbc Share-Based Compensation ooa Other Operating Activities ocf Operating Cash Flow cex Capital Expenditures acq Acquisitions cii Change in Investments oia Other Investing Activities icf Investing Cash Flow dp Dividends Paid si Share Insurance / Repurchase di Debt Issued / Paid ofa Other Financing Activities fcf Financing Cash Flow ncf Net Cash Flow "},{"id":741,"href":"/OpenBBTerminal/terminal/stocks/sia/sector/","title":"Sector","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: sector [-n NAME [NAME ...]] [-h] See existing sectors, or set the sector using the -n argument.\noptional arguments: -n NAME [NAME ...], --name NAME [NAME ...] sector to select (default: None) -h, --help show this help message (default: False) Available sectors:\nBasic Materials Communication Services Conglomerates Consumer Cyclical Consumer Defensive Consumer Goods Energy Financial Financial Services Healthcare Industrial Goods Industrials Real Estate Services Technology Utilities "},{"id":742,"href":"/OpenBBTerminal/terminal/stocks/sia/vis/","title":"Vis","parent":"Sector \u0026 Industry Analysis (SIA)","content":"usage: vis [-m {ce,sti,cce,rec,inv,oca,tca,ppe,lti,gai,olta,tlta,ta,ap,dr,cd,ocl,tcl,ltd,oltl,tltl,tl,ret,ci,se,tle,ninc,da,sbc,ooa,ocf,cex,acq,cii,oia,icf,dp,si,di,ofa,fcf,ncf,re,cr,gp,sga,rd,ooe,oi,ie,oe,it,ni,pd}] [-p PERIOD] [-cc CONVERT_CURRENCY] [-h] [--export {csv,json,xlsx,png,jpg,pdf,svg}] [--raw] [-l LIMIT] Visualize a particular metric with the filters selected [source: StockAnalysis]\noptional arguments: -m {ce,sti,cce,rec,inv,oca,tca,ppe,lti,gai,olta,tlta,ta,ap,dr,cd,ocl,tcl,ltd,oltl,tltl,tl,ret,ci,se,tle,ninc,da,sbc,ooa,ocf,cex,acq,cii,oia,icf,dp,si,di,ofa,fcf,ncf,re,cr,gp,sga,rd,ooe,oi,ie,oe,it,ni,pd}, --metric {ce,sti,cce,rec,inv,oca,tca,ppe,lti,gai,olta,tlta,ta,ap,dr,cd,ocl,tcl,ltd,oltl,tltl,tl,ret,ci,se,tle,ninc,da,sbc,ooa,ocf,cex,acq,cii,oia,icf,dp,si,di,ofa,fcf,ncf,re,cr,gp,sga,rd,ooe,oi,ie,oe,it,ni,pd} Metric to visualize (default: None) -p PERIOD, --period PERIOD Limit number of periods to display (default: 12) -cc CONVERT_CURRENCY, --convert_currency CONVERT_CURRENCY Convert the currency of the chosen country to a specified currency. By default, this is set to USD (US Dollars). (default: USD) -h, --help show this help message (default: False) --export {csv,json,xlsx,png,jpg,pdf,svg} Export raw data into csv, json, xlsx and figure into png, jpg, pdf, svg (default: ) --raw Flag to display raw data (default: False) -l LIMIT, --limit LIMIT Number of entries to show in data. (default: 10) "},{"id":743,"href":"/OpenBBTerminal/terminal/stocks/tradinghours/all/","title":"All","parent":"Introduction to Trading Hours","content":"usage: all\nAll markets\n"},{"id":744,"href":"/OpenBBTerminal/terminal/stocks/tradinghours/closed/","title":"Closed","parent":"Introduction to Trading Hours","content":"usage: closed\nClosed markets\n"},{"id":745,"href":"/OpenBBTerminal/terminal/stocks/tradinghours/exchange/","title":"Exchange","parent":"Introduction to Trading Hours","content":"usage: exchange IOB\nExchange info\n"},{"id":746,"href":"/OpenBBTerminal/terminal/stocks/tradinghours/open/","title":"Open","parent":"Introduction to Trading Hours","content":"usage: open\nOpen markets\n"},{"id":747,"href":"/OpenBBTerminal/terminal/stocks/tradinghours/symbol/","title":"Symbol","parent":"Introduction to Trading Hours","content":"usage: symbol [-n --name SYMBOL]\nLoad symbol for open market checkup.\n"},{"id":748,"href":"/OpenBBTerminal/categories/","title":"Categories","parent":"Getting Started","content":""},{"id":749,"href":"/OpenBBTerminal/terminal/etf/","title":"Exchange Traded Funds (ETFs)","parent":"OpenBB Terminal","content":"In recent years, exchange-traded funds have become one of the most essential and profitable products offered for individual investors. ETFs have a number of advantages and, when used properly, can help investors accomplish their investment objectives.\nIn a nutshell, an ETF is a collection of securities that may be purchased or sold on a stock exchange through a brokerage business. ETFs are available in almost every asset class imaginable, ranging from standard investments to so-called nontraditional assets such as commodities and currencies. Furthermore, new ETF formats enable investors to short markets, obtain leverage, and avoid paying short-term capital gains taxes.\nAvailable commands Candle Compare Disc Active Decliners Gainers Holdings Ld Ln News Overview Pir Scr Sbc Screen Set View Summary Weights "},{"id":750,"href":"/OpenBBTerminal/","title":"Getting Started","parent":"","content":"Introduction OpenBB is a leading open source investment analysis company. We represent millions of investors who want to leverage state-of-the-art data science and machine learning technologies to make sense of raw unrefined data. Our mission is to make investment research effective, powerful and accessible to everyone.\nAll our products are Free and Open-Source (FOSS).\n \n If you are interested in the OpenBB Terminal, please continue reading this page and the related pages on each menu (e.g. Stocks or Economy) If you are interested in one of our other products, please refer to the OpenBB Python API or the OpenBB Bots pages. Table of Contents Introduction Accessing the OpenBB Terminal Installation for Windows Installation for macOS Structure of the OpenBB Terminal Explanation of Menus Explanation of Commands Accessing other sources of data via API keys Available menus within the OpenBB Terminal Obtaining support and/or giving feedback Why Python? Python is one of the most used programming languages due to its simplified syntax and shallow learning curve. On top of this, it is highly used in data science and academia world (particularly on finance, economics or business related degrees). This is very important, as it is the first time in history that users - regardless of their background - can so easily add features to an investment research platform. Why Open Source? An open source product allows for higher quality, greater reproducibility, lower costs, more transparency, and faster go-to-market due to the strong community created. In addition, users can adapt the platform to their needs or even build proprietary features on top of our infrastructure - which ultimately can result in a marketplace. Importing and Exporting data The terminal allows for users to import their own proprietary datasets to use on our econometrics menu. In addition, users are allowed to export any type of data to any type of format whether that is raw data in Excel or an image in PNG. This is also ideal for finance content creation. Automatic notebook reports Create notebook templates (through papermill) which can be run on different tickers. This level of automation allows speeding up the development of your investment thesis and reduce human error. OpenBB API and Customizable notebook reports Use our OpenBB Terminal environment to access raw data through a Jupyter Notebook and play with it accordingly. Or just create customizable notebook reports for your colleagues and friends doing research on a particular asset or a macroeconomic event impact on said asset. The possibilities are endless. Advanced user and routines Navigate through 750+ terminal features using fast shortcuts and leverage auto-complete functionality. Jump from looking into your portfolio to comparing the financials of those companies in a few seconds. Leverage our routines implementation to run analysis while you drink your coffee or tea. Accessing the OpenBB Terminal The OpenBB Terminal can be directly installed on your computer via our installation program. Within this section, you are guided through the installation process and how to launch the program. If you are a developer, please have a look here. If you struggle with the installation process, please don\u0026rsquo;t hesitate to reach us on Discord or visit our contact page.\nInstallation for Windows The process starts off by downloading the installer, see below for how to download the most recent release:\n Go to the following link Click on the Latest release and scroll down Click on the .exe file, this downloads the installation program When the file is downloaded, use the following steps to run the OpenBB Terminal:\nStep 1: Double-click the .exe file that got downloaded to your Downloads folder\nYou will most likely receive the error below stating \u0026ldquo;Windows protected your PC\u0026rdquo;. This is because the installer is still in beta phase, and the team has not yet requested verification from Windows.\n\n Step 2: Click on More info and select Run anyway to start the installation process\nProceed by following the steps. Do note that if you wish to install the application to \u0026ldquo;Program Files\u0026rdquo; that you will have to run the resulting application as Administrator.\n\n Step 3: Double-click on the application that appeared on your Desktop, you are now able to run the OpenBB Terminal\nThe first time this takes a bit longer to load, this can take up to a few minutes.\n\n Installation for macOS The process starts off by downloading the installer, see below for how to download the most recent release:\n Go to the following link Click on the Latest release and scroll down Click on the .dmg file, this downloads the installation program When the file is downloaded, use the following steps to run the OpenBB Terminal:\nStep 1: Open the downloaded file and move the folder inside your Applications folder\nOpen the .dmg file that got downloaded to your \u0026ldquo;Downloads\u0026rdquo; folder and drag the folder into your \u0026ldquo;Applications\u0026rdquo; folder. Note that this should take some time as it is extracting the files from the .dmg file.\nYou can find the Applications folder on the left side of the Finder application (⌥ + ⌘ + SPACEBAR). Alternatively, search for the Finder with ⌘ + SPACEBAR.\n\n Step 2: Open the folder and click on the OpenBB Terminal file, this should run the application.\nYou will most likely receive a message that macOS was not able to check whether the application contains malicious software. This is because the installer is still in beta phase, and the team has not yet requested verification from Apple. See below how to correct for this.\n\n Step 3: Allow the application to be run by going into your settings\nGo to System Preferences \u0026gt; Security \u0026amp; Privacy \u0026gt; General. You should see a message at the bottom that says that the file \u0026ldquo;was blocked from use because it is not from an identified developer\u0026rdquo;. Click on Allow anyway or Open anyway.\n\n Structure of the OpenBB Terminal The OpenBB Terminal is based off the Command Line Interface (CLI) which is installed by default on every computer. By opening the application you have installed via \u0026ldquo;Accessing the OpenBB Terminal\u0026rdquo;, you are greeted with the following interface:\n\nThe OpenBB Terminal is centered around keyboard input. To navigate and perform analysis you will have to type in the name of the command followed by an ENTER (⏎). If you wish to see information about the OpenBB Terminal you can do so by typing about and then press ENTER (⏎). As you are typing, you will notice that you receive suggestions, by using the DOWN (⌄) arrow and pressing ENTER (⏎) you can select the command and execute it.\nThroughout the entire terminal, the same set of colors are used which all share the same representation. This is structured as follows:\n Light Blue: represents commands. Dark Blue: represents menus, also recognizable by the \u0026gt; in front. Orange: represents titles and headers. Yellow: represents descriptions of a parameter or variable. White: represents text, usually in combination with a description that is in Yellow. Explanation of Menus Menus, depicted in Dark Blue, take you to a new section of the terminal referred to as a menu. For example, if you wish to view information about stocks, you can do so by typing stocks and pressing ENTER (⏎). This opens a new menu as depicted below.\n\nDepending on the menu you are in, you are presented with a new set of commands (see Explanation of Commands) and menus you can select. There are interactions in place between each menu. For example, when selecting a company within the stocks menu, the terminal will remember your selection when you visit the fa or options menu. See Introduction to Stocks for more information.\nExplanation of Commands Commands, depicted in Light Blue, execute an action or task. For example, the commands that you are able to use from any menu in the terminal (see Explanation of Menus) are as follows:\n cls: clears the screen, by executing this command you are left with an empty screen. help, h or ?: displays the menu that you are currently on. quit, q or ..: allows for navigation through the menu. E.g. if you type stocks press ENTER (⏎) and then use q and press ENTER (⏎) you return to where you started. Validate this by typing ? and pressing ENTER (⏎). support: allows you to submit bugs, questions and suggestions. Continuing with the example mentioned at quit, revisit the stocks menu and look at the commands. At the top you will see a command named load. To understand what this command can do, you can use load -h followed by ENTER (⏎). The -h stands for help and every command will have this feature. This will return the following:\n2022 May 19, 05:27 (🦋) /stocks/ $ load -h usage: load [-t TICKER] [-s START] [-e END] [-i {1,5,15,30,60}] [--source {yf,av,iex,polygon}] [-p] [-f FILEPATH] [-m] [-w] [-r {ytd,1y,2y,5y,6m}] [-h] Load stock ticker to perform analysis on. When the data source is yf (Yahoo Finance), an Indian ticker can be loaded by using '.NS'at the end, e.g. 'SBIN.NS'. See available market in https://help.yahoo.com/kb/exchanges-data-providers-yahoo-finance-sln2310.html. optional arguments: -t TICKER, --ticker TICKER Stock ticker (default: None) -s START, --start START The starting date (format YYYY-MM-DD) of the stock (default: 2019-05-15) -e END, --end END The ending date (format YYYY-MM-DD) of the stock (default: 2022-05-19) -i {1,5,15,30,60}, --interval {1,5,15,30,60} Intraday stock minutes (default: 1440) --source {yf,av,iex,polygon} Source of historical data. (default: yf) -p, --prepost Pre/After market hours. Only works for 'yf' source, and intraday data (default: False) -f FILEPATH, --file FILEPATH Path to load custom file. (default: None) -m, --monthly Load monthly data (default: False) -w, --weekly Load weekly data (default: False) -r {ytd,1y,2y,5y,6m}, --iexrange {ytd,1y,2y,5y,6m} Range for using the iexcloud api. Note that longer range requires more tokens in account (default: ytd) -h, --help show this help message (default: False) This shows you all arguments the command has. These are additional options you can provide to the command. Each default value is also displayed which is used when you do not select this option. For example, if I would use the stock ticker of Amazon (AMZN, which can also be found with search amazon), I can use load AMZN which will return the following:\n2022 May 19, 05:27 (🦋) /stocks/ $ load AMZN Loading Daily AMZN stock with starting period 2019-05-15 for analysis. Datetime: 2022 May 19 05:33 Timezone: America/New_York Currency: USD Market: OPEN Company: Amazon.com, Inc. AMZN Performance ┏━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ 1 Day ┃ 1 Week ┃ 1 Month ┃ 1 Year ┃ YTD ┃ Volatility (1Y) ┃ Volume (10D avg) ┃ Last Price ┃ ┡━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ -3.34 % │ 1.65 % │ -32.26 % │ -33.71 % │ -37.14 % │ 31.36 % │ 5.51 M │ 2142.25 │ └─────────┴────────┴──────────┴──────────┴──────────┴─────────────────┴──────────────────┴────────────┘ The default values you see within load -h have been inputted here. E.g. the starting period is 2019-05-15. I can decide to change these default values by calling the argument and inputting a different value. Let\u0026rsquo;s change the starting and ending period of the data that is being loaded in by doing the following:\n2022 May 19, 05:38 (🦋) /stocks/ $ load AMZN -s 2005-01-01 -e 2010-01-01 Loading Daily AMZN stock with starting period 2005-01-01 for analysis. Datetime: 2022 May 19 05:43 Timezone: America/New_York Currency: USD Market: OPEN Company: Amazon.com, Inc. AMZN Performance ┏━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ 1 Day ┃ 1 Week ┃ 1 Month ┃ 1 Year ┃ Period ┃ Volatility (1Y) ┃ Volume (10D avg) ┃ Last Price ┃ ┡━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ -3.51 % │ -3.18 % │ -2.87 % │ 162.32 % │ 203.73 % │ 49.78 % │ 8.53 M │ 134.52 │ └─────────┴─────────┴─────────┴──────────┴──────────┴─────────────────┴──────────────────┴────────────┘ We can check that this period has changed by looking into the candle chart with candle. This, again shares the same -h argument. This results in the following which indeed depicts our selected period.\n2022 May 19, 05:44 (🦋) /stocks/ $ candle \nAs mentioned in the Explanation of Menus, some information also transfers over to other menus and this includes the loaded market data from load. So, if you would visit the ta menu (which stands for Technical Analysis) you will see that, by running any command, the selected period above is depicted again. Return to the Stocks menu again by using q and use it again to return to the home screen which can be shown with ?.\nAccessing other sources of data via API keys Within this menu you can define your, often free, API key from various platforms like Alpha Vantage, FRED, IEX, Twitter, DeGiro, Binance and Coinglass. API keys are in essence a set of random characters that is unique to you.\nYou can access this menu from the homepage with keys which will open the menu as shown below:\n\nWithin this menu you are able to set your API keys to access the commands that require that key. You can do so by typing the command followed by the API key, for example: fred a215egade08a8d47cfd49c849658a2be. When you press ENTER (⏎) the terminal will test whether this API key works. If it does, you receive the message defined, test passed and if it does not, you receive the message defined, test failed.\nTo figure out where you can obtain the API key, you can enter the command (e.g. av) and press ENTER (⏎) or use the table below. We recommend that you gradually obtain and set keys whenever you wish to use features that require an API key. For example, if you are interested in viewing recent news about a company, you should set the API key from the \u0026lsquo;News API\u0026rsquo;.\n Command Name URL av AlphaVantage https://www.alphavantage.co/support/#api-key fmp Financial Modelling Prep https://site.financialmodelingprep.com/developer/docs/ quandl Quandl https://www.quandl.com polygon Polygon https://polygon.io fred Federal Reserve Economic Database (FRED) https://fred.stlouisfed.org news News API https://newsapi.org/ tradier Tradier https://developer.tradier.com cmc CoinMarketCap https://coinmarketcap.com/ finnhub Finnhub https://finnhub.io/ iex IEX Cloud https://iexcloud.io/ reddit Reddit https://www.reddit.com/wiki/api twitter Twitter https://developer.twitter.com rh Robinhood https://robinhood.com/us/en/ degiro DeGiro https://www.degiro.com/ oanda Oanda https://developer.oanda.com binance Binance https://binance.com bitquery Bitquery https://bitquery.io/ si Sentiment Investor https://sentimentinvestor.com cb Coinbase https://help.coinbase.com/en/exchange/managing-my-account/how-to-create-an-api-key walert Whale Alert https://docs.whale-alert.io/ glassnode Glassnode https://docs.glassnode.com/basic-api/api-key#how-to-get-an-api-key/ coinglass Coinglass https://coinglass.github.io/API-Reference/#api-key ethplorer Ethplorer https://github.com/EverexIO/Ethplorer/wiki/Ethplorer-API smartstake Smartstake https://www.smartstake.io github GitHub https://docs.github.com/en/rest/guides/getting-started-with-the-rest-api Available menus within the OpenBB Terminal There is a large collection of (sub) menus available. Here, the asset class and other menus are described. To find a detailed description and explanation of its usage for each menu, click on the corresponding link to visit the introduction page.\nThe asset class menus are as follows:\n Introduction to Stocks: access historical pricing data, options, sector and industry analysis, and overall due diligence. Introduction to Crypto: dive into onchain data, tokenomics, circulation supply, nfts and more. Introduction to ETF: explore exchange traded funds, historical pricing, holdings and screeners. Introduction to Forex: see foreign exchanges, quotes, forward rates for currency pairs and Oanda integration. Introduction to Funds: discover mutual funds, general overviews, holdings and sector weights. The other menus are as follows:\n Introduction to Economy: explore global macroeconomic data including interest and inflation rates, GDP and its components, futures, yield curves and treasury rates. Introduction to Alternative: explore alternative datasets such as COVID and open source metrics. Introduction to Econometrics: perform (advanced) regression techniques and statistical tests on custom datasets to understand relationships for both time series and panel data. Introduction to Portfolio: understand how your portfolio evolved over time, what assets contributed the most to this performance, compare this to a benchmark and make adjustments via various portfolio optimization techniques. Introduction to Dashboards: see interactive dashboards using voila and jupyter notebooks. Introduction to Reports (Work in Progress): create customizable research reports through jupyter notebooks. To adjust the lay-out and settings of the OpenBB Terminal you can access the settings menu. This menu allows you to tweak how the terminal behaves. For example, you are able to define the coloring, interactive graphs and whether to use pretty tables.\nObtaining support and/or giving feedback Being an open source platform that wishes to tailor to the needs of any type of investor, we highly encourage anyone to share with us their experience and/or how we can further improve the OpenBB Terminal. This can be anything from a very small bug to a new feature to the implementation of a highly advanced Machine Learning model.\nYou are able to directly send us information about a bug or question/suggestion from inside the terminal by using the support command which is available everywhere in the terminal. Here you can select which command you want to report a bug, ask a question or make a suggestion on. When you press ENTER (⏎), you are taken to the Support form which is automatically filled with your input. You are only required to include the type (e.g. bug, suggestion or question) and message in the form although this can also be set directly from inside the terminal (see support -h).\n\nAlternatively, you can contact us via the following routes:\n If you notice that a feature is missing inside the terminal, please fill in the Request a Feature form. If you wish to report a bug, have a question/suggestion or anything else, please fill in the Support form. If you wish to speak to us directly, please contact us via Discord. "},{"id":751,"href":"/OpenBBTerminal/terminal/stocks/dark_pool_shorts/","title":"Introduction to Dark Pools \u0026 Short Data","parent":"Introduction to Stocks","content":"Dark Pools and short selling are both, controversial and mysterious, subjects. The lack of disclosure for short sales and dark pool trades makes a lot of guess-work. It is a good idea to read through some research on the topic available from the SEC:\n Alternative Trading Systems: Description of ATS Trading in National Market System Stocks Shedding Light on Dark Pools Staff Papers and Analyses The purpose of this menu is to provide the user with tools for gauging the level of short interest, FTD rate, and off-exchange volume in a NMS security. There are also commands for looking at market as a whole. Enter the submenu from the Stocks menu by typing, dps, and hitting ENTER (⏎).\n\nTo use every feature in the Dark Pools menu, an API key for Quandl must be obtained (for free) and authorized on the local installation. See the Getting Started Guide for help setting up the API keys in the OpenBB Terminal. The four commands at the bottom of the menu rely on a loaded ticker while the six above do not.\nHow to use The commands which are not ticker-specific provide screener-like utility. A list of the most-shorted stocks, according to Yahoo Finance, is displayed with the shorted command. It should be noted that this menu is only able to provide data for SEC-regulated equities.\n\nhsi is another source for the same list. There will be slight variations between the two.\n\nprom performs a linear regression to scan for tickers with growing trade activity on ATS tapes, reported to FINRA.\n(🦋) /stocks/dps/ $ prom -n 50 -l 5 -t T1 Processing Tier T1 ... Processing regression on 50 promising tickers ... \nTier 2 NMS Tickers:\n(🦋) /stocks/dps/ $ prom -n 50 -l 5 -t T2 Processing Tier T2 ... Processing regression on 50 promising tickers ... \nTier 3 OTCE Tickers:\n(🦋) /stocks/dps/ $ prom -n 50 -l 5 -t OTCE Processing Tier OTCE ... Processing regression on 50 promising tickers ... \npos provides a summary for the last reported trading day (information is updated in the early evening). Position represents a rolling twenty-day total and directional trends can be identified by watching the changes over time. Adding the -a flag will sort the list from the bottom up - the most negative - and creates a fuller picture when watching in tandom with the positive side of the ledger. Monitor the rate of change in position sizes, or a reversal in directional flow. This white paper, written by SqueezeMetrics, sheds some light on the trading activity reported here.\n(🦋) /stocks/dps/ $ pos -l 25 \nThe other end of the spectrum:\n(🦋) /stocks/dps/ $ pos -l 25 -a \nCall on the help dialogue for every command by attaching, -h to the command. The optional arguments give the user flexibility to sort the columns, print the raw data, or export to a file.\nExamples The cost-to-borrow is used as a proxy-measurement for an equity\u0026rsquo;s specialness. ctb shows the most expensive equities to short, and the number shares available to short, on Interactive Brokers.\n(🦋) /stocks/dps/ $ ctb \nHow many tickers have a borrow rate above 100%? Set the limit to a high number and export the data to a spreadsheet.\n(🦋) /stocks/dps/ $ ctb -n 5000 --export xlsx Saved file: /exports/20220530_130058_stocks_dark_pool_shorts_cost_to_borrow.xlsx As of writing, there are 158 securities with a cost-to-borrow rate above 100%.\n\nCross reference that list with the sidtc command. Days-to-cover is the approximate number of days it would take to cover those shorts if the amount and proportion of volume were to remain constant. Use the optional arguments to sort the columns.\n\nLoad AAPL and request a 1-year chart of the net short volume and position. This provides the individual ticker data corresponding with the pos command.\n(🦋) /stocks/dps/ $ load AAPL Loading Daily AAPL stock with starting period 2019-05-28 for analysis. Datetime: 2022 May 30 14:59 Timezone: America/New_York Currency: USD Market: CLOSED Company: Apple Inc. (🦋) /stocks/dps/ $ spos \nProlonged periods where the net short volume is above 50% are notable.\n(🦋) /stocks/dps/ $ psi \nSee the aggregate sum total of fail-to-delivers, with the historical price, with the ftd command.\n(🦋) /stocks/dps/ $ ftd -s 2020-05-30 \nThe data from dpotc, statistics for individual NMS tickers, shows weekly OTC and ATS trade volume with the average lot size, which is reported on a lagging schedule.\n(🦋) /stocks/dps/ $ dpotc \nRun a live demo of these features by entering exe routines/darkpool_demo.openbb into the Terminal from the home screen.\n"},{"id":752,"href":"/OpenBBTerminal/terminal/portfolio/po/","title":"Introduction to Portfolio Optimization","parent":"Portfolio","content":"The Portfolio Optimization menu allows the user to apply advanced optimization techniques to a portfolio of any type and of any size. It does so by introducing a multitude of optimization techniques ranging from mean-variance optimization to risk parity models and hierarchical clustering models. By providing Excel templates, the user can make sense of the vast array of parameters that each command has. E.g. think of the historic period you wish to use or which of the more than 10 risk measures and covariance methods should be used? These are questions the templates make easier to answer.\nHow to use The portfolio optimization menu can be reached by visiting the portfolio menu and typing po (or alternatively, typing /portfolio/po from any location). This opens the following menu:\n\nThis menu requires the usage of the Excel templates to work properly. As there is a lot of complexity involved around these techniques, these templates allow the user to understand what values for each parameter are actually used and allow for an easy way to define the allocation.\nFor this there are two templates that need to be set:\n OpenBB Parameters Template: found in the OpenBB Terminal directory within OpenBB Terminal/OpenBB/portfolio/parameters OpenBB Portfolio Template: found in the OpenBB Terminal directory within OpenBB Terminal/OpenBB/portfolio/allocation If this location does not exist, use this link to download the most recent versions and place the contents inside a folder named portfolio within the OpenBB Terminal/OpenBB directory.\nOpenBB Parameters Template This template provides the user with the ability to set define values for each parameter based on the optimization technique that is deployed. E.g. if you select riskparity for the technique parameter, you will notice that some parameters turn grey. This means that the parameter is irrelevant for the selected method.\nThe OpenBB Terminal does, however, allow the user to run any model despite the technique you selected. Therefore, if you are interested in running multiple models, consider removing the value for technique. Do note that this makes it more difficult to understand which values are used for which model.\n\nOnce you have defined the parameters, save the template and load it inside the terminal by using the file command. If done correctly, the parameters file should show automatically after typing file and pressing SPACE. Then, by using the DOWN KEY (⌄) you can select the file by pressing ENTER (⏎) which will then be loaded into the terminal:\n2022 May 02, 06:51 (🦋) /portfolio/po/ $ file OpenBB_Parameters_Template v1.0.0.xlsx Parameters: historic_period : 3y log_returns : 0 return_frequency : d max_nan : 0.05 threshold_value : 0.3 nan_fill_method : time risk_free : 0.003 significance_level : 0.05 risk_measure : MV target_return : -1 target_risk : -1 expected_return : hist covariance : hist smoothing_factor_ewma : 0.94 long_allocation : 1 short_allocation : 0 OpenBB Portfolio Template This template hands the user a format to work with it to define the portfolio. Here, categorization is applied based on asset class, sector, industry, country and currency. By using the dropdown menus within this Excel, you are able to apply the proper categorization. This is based on the same methodology as found in other areas of the terminal.\n\nYou can load in the portfolio template by using the load command:\n2022 Apr 26, 01:35 (🦋) /portfolio/po/ $ load OpenBB_Portfolio_Template_v1.0.0.xlsx 2022 Apr 26, 02:15 (🦋) /portfolio/po/ $ show Current Portfolios: None Current Categories: ASSET_CLASS, SECTOR, INDUSTRY, COUNTRY, CURRENT_INVESTED_AMOUNT, CURRENCY Performing optimization Based on the parameters and allocation the user has set, the optimization process begins. What optimization technique is ideal depends entirely on the user\u0026rsquo;s risk profile and objectives. As an illustration, Risk Parity is presented below via the riskparity command:\n2022 May 30, 05:47 (🦋) /portfolio/po/ $ riskparity Optimization can take time. Please be patient... [3 Years] Risk parity portfolio based on risk budgeting approach using volatility as risk measure Weights ┏━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━━╇━━━━━━━━━━┩ │ AAPL │ 3.27 % │ ├───────┼──────────┤ │ AMZN │ 3.81 % │ ├───────┼──────────┤ │ APTV │ 2.17 % │ ├───────┼──────────┤ │ ASML │ 2.48 % │ ├───────┼──────────┤ │ BABA │ 3.42 % │ ├───────┼──────────┤ │ GOOGL │ 3.54 % │ ├───────┼──────────┤ │ HYG │ 9.40 % │ ├───────┼──────────┤ │ IYR │ 3.98 % │ ├───────┼──────────┤ │ NKE │ 3.66 % │ ├───────┼──────────┤ │ PEX │ 3.88 % │ ├───────┼──────────┤ │ PSP │ 3.49 % │ ├───────┼──────────┤ │ REZ │ 4.08 % │ ├───────┼──────────┤ │ TIP │ 26.61 % │ ├───────┼──────────┤ │ TLT │ 22.86 % │ ├───────┼──────────┤ │ TSM │ 3.35 % │ └───────┴──────────┘ Annual (by 252) expected return: 10.03% Annual (by √252) volatility: 11.62% Sharpe ratio: 0.8373 To understand how this portfolio differs from the original portfolio, the show command can be used. This also shows the allocations to each asset class, sector, industry and currency. Using the optimized portfolio, this generates the following results:\n2022 May 30, 05:47 (🦋) /portfolio/po/ $ show RP_0 Portfolio - RP_0 Category - Asset_Class ┏━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Asset_Class ┃ Current_Invested_Amount ┃ Current_Weights ┃ Value ┃ ┡━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩ │ USD │ FIXED INCOME │ 2,550,000 $ │ 30.03 % │ 58.87 % │ ├─────┼────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ PRIVATE EQUITY │ 850,000 $ │ 10.01 % │ 7.37 % │ ├─────┼────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ PUBLIC EQUITY │ 4,242,000 $ │ 49.95 % │ 25.69 % │ ├─────┼────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ REAL ESTATE │ 850,000 $ │ 10.01 % │ 8.07 % │ ├─────┼────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ TOTAL USD │ 8,492,000 $ │ 100.00 % │ 100.00 % │ └─────┴────────────────┴─────────────────────────┴─────────────────┴──────────┘ Category - Country ┏━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Country ┃ Current_Invested_Amount ┃ Current_Weights ┃ Value ┃ ┡━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩ │ USD │ CHINA │ 246,000 $ │ 2.90 % │ 3.42 % │ ├─────┼───────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ NETHERLANDS │ 920,000 $ │ 10.83 % │ 2.48 % │ ├─────┼───────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ TAIWAN │ 380,000 $ │ 4.47 % │ 3.35 % │ ├─────┼───────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ UNITED STATES │ 6,946,000 $ │ 81.79 % │ 90.76 % │ ├─────┼───────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ TOTAL USD │ 8,492,000 $ │ 100.00 % │ 100.00 % │ └─────┴───────────────┴─────────────────────────┴─────────────────┴──────────┘ Category - Sector ┏━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Sector ┃ Current_Invested_Amount ┃ Current_Weights ┃ Value ┃ ┡━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩ │ USD │ COMMUNICATION SERVICES │ 636,000 $ │ 7.49 % │ 3.54 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ CONSUMER CYCLICAL │ 1,926,000 $ │ 22.68 % │ 13.06 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ CORPORATE BOND │ 810,000 $ │ 9.54 % │ 9.40 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ FINANCIAL │ 850,000 $ │ 10.01 % │ 7.37 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ GOVERNMENT BOND │ 1,740,000 $ │ 20.49 % │ 49.47 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ REAL ESTATE │ 850,000 $ │ 10.01 % │ 8.07 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ TECHNOLOGY │ 1,680,000 $ │ 19.78 % │ 9.09 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ TOTAL USD │ 8,492,000 $ │ 100.00 % │ 100.00 % │ └─────┴────────────────────────┴─────────────────────────┴─────────────────┴──────────┘ Category - Industry ┏━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Industry ┃ Current_Invested_Amount ┃ Current_Weights ┃ Value ┃ ┡━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩ │ USD │ AUTO PARTS \u0026amp; EQUIPMENT │ 429,000 $ │ 5.05 % │ 2.17 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ FINANCIAL SERVICES │ 850,000 $ │ 10.01 % │ 7.37 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ FOOTWEAR \u0026amp; ACCESSORIES │ 505,000 $ │ 5.95 % │ 3.66 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ HIGH YIELD BOND │ 810,000 $ │ 9.54 % │ 9.40 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ INFLATION-PROTECTED BOND │ 890,000 $ │ 10.48 % │ 26.61 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ INTERACTIVE MEDIA \u0026amp; SERVICES │ 636,000 $ │ 7.49 % │ 3.54 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ INTERNET \u0026amp; DIRECT MARKETING RETAIL │ 992,000 $ │ 11.68 % │ 7.23 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ LONG GOVERNMENT │ 850,000 $ │ 10.01 % │ 22.86 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ RESIDENTIAL │ 280,000 $ │ 3.30 % │ 4.08 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ SEMICONDUCTORS │ 1,300,000 $ │ 15.31 % │ 5.82 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ TECHNOLOGY HARDWARE, STORAGE \u0026amp; PERIPHERALS │ 380,000 $ │ 4.47 % │ 3.27 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ TOTAL MARKET │ 570,000 $ │ 6.71 % │ 3.98 % │ ├─────┼────────────────────────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ TOTAL USD │ 8,492,000 $ │ 100.00 % │ 100.00 % │ └─────┴────────────────────────────────────────────┴─────────────────────────┴─────────────────┴──────────┘ It is possible to use the commands without loading in the parameters template or by using the parameters template but changing some arguments directly into the terminal. For example, using the same method as described above, the risk measure is changed to Conditional Value at Risk (CVaR) and the used historic period is increased to 10 years (keeping all other parameters unchanged):\n2022 May 30, 05:47 (🦋) /portfolio/po/ $ riskparity -rm CVaR -p 10y Optimization can take time. Please be patient... [10 Years] Risk parity portfolio based on risk budgeting approach using conditional value at risk (CVaR) as risk measure Weights ┏━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━━╇━━━━━━━━━━┩ │ AAPL │ 3.78 % │ ├───────┼──────────┤ │ AMZN │ 3.55 % │ ├───────┼──────────┤ │ APTV │ 3.06 % │ ├───────┼──────────┤ │ ASML │ 3.11 % │ ├───────┼──────────┤ │ GOOGL │ 3.80 % │ ├───────┼──────────┤ │ HYG │ 11.68 % │ ├───────┼──────────┤ │ IYR │ 4.68 % │ ├───────┼──────────┤ │ NKE │ 4.31 % │ ├───────┼──────────┤ │ PSP │ 4.54 % │ ├───────┼──────────┤ │ REZ │ 4.91 % │ ├───────┼──────────┤ │ TIP │ 29.23 % │ ├───────┼──────────┤ │ TLT │ 19.69 % │ ├───────┼──────────┤ │ TSM │ 3.66 % │ └───────┴──────────┘ Annual (by 252) expected return: 9.70% Annual (by √252) volatility: 8.34% Sharpe ratio: 1.1275 Annual (by √252) conditional value at risk (CVaR) : 19.84% Return / conditional value at risk (CVaR) ratio: 0.4738 Examples To demonstrate the capabilities of the Portfolio Optimization menu, the entire S\u0026amp;P 500 index (as of 30th of May 2022) is used and optimized and analysed in a variety of ways. Starting by loading in the dataset, which is visible when you type load as it resides in the same directory as the earlier mentioned template:\n\nIt is possible to load the parameters template here but this is not necessary as each parameter has a default value set regardless. However, because the Excel file provides a more structured way of presenting the choices, the template is loaded in:\n2022 May 30, 06:15 (🦋) /portfolio/po/ $ file OpenBB_Parameters_Template_v1.0.0.xlsx Parameters: historic_period : 3y log_returns : 0 return_frequency : d max_nan : 0.05 threshold_value : 0.3 nan_fill_method : time risk_free : 0.003 significance_level : 0.05 risk_measure : MV target_return : -1 target_risk : -1 expected_return : hist covariance : hist smoothing_factor_ewma : 0.94 long_allocation : 1 short_allocation : 0 Then, the Hierarchical Risk Parity technique is applied by running the hrp command. This results in the following (the result is edited, as it would show 500 tickers, to prevent flooding this page):\n2022 May 30, 06:22 (🦋) /portfolio/po/ $ hrp Optimization can take time. Please be patient... [3 Years] Hierarchical risk parity portfolio using pearson codependence, single linkage and volatility as risk measure Weights ┏━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Value ┃ ┡━━━━━━━╇━━━━━━━━━━┩ │ A │ 0.23 % │ ├───────┼──────────┤ │ AAL │ 0.04 % │ ├───────┼──────────┤ │ AAP │ 0.21 % │ ├───────┼──────────┤ │ AAPL │ 0.15 % │ ├───────┼──────────┤ │ ABBV │ 0.41 % │ ├───────┼──────────┤ │ ABC │ 0.18 % │ ├───────┼──────────┤ \u0026lt;continues\u0026gt; Annual (by 252) expected return: 19.65% Annual (by √252) volatility: 21.64% Sharpe ratio: 0.8943 This optimization process is then compared with the current holdings. To keep things manageable, only the sector allocations are compared between the unoptimized and optimized portfolio which is done with the show command:\n2022 May 31, 03:31 (🦋) /portfolio/po/ $ show HRP_0 -ct SECTOR Category - Sector ┏━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓ ┃ ┃ Sector ┃ Current_Invested_Amount ┃ Current_Weights ┃ Value ┃ ┡━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩ │ USD │ COMMUNICATION SERVICES │ 14,934,743 $ │ 5.89 % │ 6.07 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ CONSUMER DISCRETIONARY │ 31,210,119 $ │ 12.31 % │ 9.58 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ CONSUMER STAPLES │ 15,957,911 $ │ 6.29 % │ 11.93 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ ENERGY │ 9,582,634 $ │ 3.78 % │ 1.97 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ FINANCIALS │ 30,165,029 $ │ 11.89 % │ 8.93 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ HEALTH CARE │ 31,802,164 $ │ 12.54 % │ 17.35 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ INDUSTRIALS │ 38,183,932 $ │ 15.06 % │ 14.04 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ INFORMATION TECHNOLOGY │ 37,669,554 $ │ 14.85 % │ 12.95 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ MATERIALS │ 14,155,430 $ │ 5.58 % │ 5.49 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ REAL ESTATE │ 17,137,343 $ │ 6.76 % │ 4.82 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ UTILITIES │ 12,808,749 $ │ 5.05 % │ 6.87 % │ ├─────┼────────────────────────┼─────────────────────────┼─────────────────┼──────────┤ │ USD │ TOTAL USD │ 253,607,608 $ │ 100.00 % │ 100.00 % │ └─────┴────────────────────────┴─────────────────────────┴─────────────────┴──────────┘ This table shows how the portfolio changed and how much is allocated to each sector. It is possible to delve further into these findings with the plot command. This gives the ability to visually depict allocations, e.g. below the sector allocation is visually depicted.\n2022 May 31, 03:39 (🦋) /portfolio/po/ $ plot HRP_0 -ct SECTOR -pi \nFurther analysis can be done by looking at the portfolio\u0026rsquo;s returns histogram which also includes a variety of risk measures as well as the portfolio\u0026rsquo;s drawdowns.\n2022 May 31, 03:39 (🦋) /portfolio/po/ $ plot HRP_0 -ct SECTOR -hi -dd \nNext to that, to delve deeper in the underlying conclusions the HRP method has drawn. Here, a closer look can be given to the assets cluster map, which links certain categories to each other. The linkage process is done per asset basis but here it is grouped per sector. Based on these results, the user can identify whether the optimization techniques also logically makes sense.\n2022 May 31, 03:45 (🦋) /portfolio/po/ $ plot HRP_0 -ct SECTOR -rc -he \n"},{"id":753,"href":"/OpenBBTerminal/terminal/stocks/","title":"Introduction to Stocks","parent":"OpenBB Terminal","content":"The Stocks menu enables you to perform an evaluation of a particular company, a sector or a market as whole by performing various techniques including fundamental, technical and behavioural analysis. It does so by handing you tools to (among other things) evaluate company news (news), display historic quarterly results (income), determine future cash flows (dcf), show analyst recommendations (pt), evaluate an entire sector or industry (sia), and show the historical prices, correlations and sentiment between similar companies (correlation).\nHow to use The Stocks menu is called upon by typing stocks which opens the following menu:\nYou have the ability to search a stock based on a search criteria, country, sector or industry. An example:\n2022 May 17, 08:45 (🦋) /stocks/ $ search facebook Companies found on term facebook ┏━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ ┃ Name ┃ Country ┃ Sector ┃ Industry ┃ Exchange ┃ ┡━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ FB.BA │ Facebook, Inc. │ United States │ Communication Services │ Internet Content \u0026amp; Information │ Argentina │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ FB.MI │ Facebook, Inc. │ United States │ Communication Services │ Internet Content \u0026amp; Information │ Italy │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ FB.MX │ Facebook, Inc. │ United States │ Communication Services │ Internet Content \u0026amp; Information │ Mexico │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ FB │ Facebook, Inc. │ United States │ Communication Services │ Internet Content \u0026amp; Information │ USA │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ FB.SN │ Facebook, Inc. │ United States │ │ │ Chile │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ FB.VI │ Facebook, Inc. │ United States │ Communication Services │ Internet Content \u0026amp; Information │ Austria │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ FB2.L │ Leverage Shares 2x Facebook ETC A │ None │ None │ None │ United-Kingdom │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ FB2A.DE │ Facebook, Inc. │ United States │ Communication Services │ Internet Content \u0026amp; Information │ Germany │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ FB2A.F │ Facebook, Inc. │ United States │ Communication Services │ Internet Content \u0026amp; Information │ Germany │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ FB3.L │ Leverage Shares 3x Facebook ETC │ None │ None │ None │ United-Kingdom │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ FBOK34.SA │ Facebook, Inc. │ United States │ Communication Services │ Internet Content \u0026amp; Information │ Brazil │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ FBS.L │ Leverage Shares -1x Facebook ETC │ None │ None │ None │ United-Kingdom │ ├───────────┼───────────────────────────────────┼───────────────┼────────────────────────┼────────────────────────────────┼────────────────┤ │ SFB.L │ Leverage Shares -1x Facebook ETC │ None │ None │ None │ United-Kingdom │ └───────────┴───────────────────────────────────┴───────────────┴────────────────────────┴────────────────────────────────┴────────────────┘ This results in a selection of stock tickers and their corresponding exchange. With this information, you can load in one of the stock tickers into the menu. This can be done with load. See the following example:\n2022 May 17, 08:46 (🦋) /stocks/ $ load FB Loading Daily FB stock with starting period 2019-05-13 for analysis. Datetime: 2022 May 17 08:49 Timezone: America/New_York Currency: USD Market: OPEN Company: Meta Platforms, Inc. FB Performance ┏━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ 1 Day ┃ 1 Week ┃ 1 Month ┃ 1 Year ┃ YTD ┃ Volatility (1Y) ┃ Volume (10D avg) ┃ Last Price ┃ ┡━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ 4.6 % │ 1.95 % │ -4.82 % │ -36.59 % │ -40.91 % │ 38.04 % │ 39.8 M │ 200.04 │ └───────┴────────┴─────────┴──────────┴──────────┴─────────────────┴──────────────────┴────────────┘ To then view the stock chart, you can call candle which shows a candle chart for the defined period:\nBy calling ? or help the stocks menu re-appears. Here you can see that multiple menus have turned blue. Because of loading a stock ticker, these menus can now be used in combination with the chosen stock.\nSub-menus available The Stock menu has an extensive list of available sub-menus ranging from fundamental analysis to sector analysis to advanced prediction techniques. To find more information about each menu, click on one of the following:\n Introduction to Trading Hours: discover exchanges that are currently open or closed for a specified ticker. Also find relevant information about each exchange. Introduction to Options: look into available options, option spreads, open interest and binomial valuation models. Introduction to Stock Discovery: discover trending stocks based on return metrics, revenue and earnings growth, penny stocks and based on upcoming earnings release dates. Introduction to Sector \u0026amp; Industry Analysis: analyse companies that reside in the same industry, sector and/or country and share a similar market cap to determine potential under- and out performance of each company. Introduction to Dark Pools: discover companies that have enormous shorting pressure, obtain information about dark pool positions and find out about shares that failed to deliver. Introduction to Stock Screener: provides the ability to screen companies that share a similar characteristic, for example unusual volumes, overbought or that include analyst upgrades, and be able to compare valuations and performance. Introduction to Insider Trading: explains what large insiders, e.g. a CEO of a company, is buying the chosen company and insider trading activity for the chosen company. Introduction to Government: gives insights in what the House of Congress is trading and the corporate lobbying that is performed. Introduction to Behavioural Analysis: gives the abilities to discover how different social media platforms view the chosen company and what is written about them. Introduction to Comparison Analysis: have the ability to compare companies based on, among other things, correlation, financial statements, sentiment, valuations and performance. Introduction to Fundamental Analysis: look into the fundamentals of a chosen company including financial statements, SEC filings, investing scores, discounted cash flow analysis (DCF), sustainability scores and key ratios. Introduction to Due Diligence: explore analyst recommendations, ratings over time, price targets and quarterly and yearly earnings estimates. Introduction to Strategy Backtesting: explore back testing strategies based on technical indicators. Introduction to Technical Analysis: analysis the chosen company\u0026rsquo;s historical data extensively with moving averages and momentum, trend, volatility and volume indicators. Introduction to Quantitative Analysis: delve deeper in the historical data with quantitative methods including cumulative distribution function (CDF), (conditional) Value at Risk and rolling ratios. Introduction to Prediction Techniques: apply advanced AI and Machine Learning models to form prediction of future stock prices including Recurrent Neural Network (RNN), Autoregressive Integrated Moving Average (ARIMA) and Monte Carlo forecasting. Examples If we want to a look at the historical data and fundamentals of Microsoft, we can do the following, starting from the stocks menu:\nFirst, load in the ticker of Microsoft, this is MSFT and can be found with the search command:\n2022 May 18, 05:32 (🦋) /stocks/ $ search microsoft Companies found on term microsoft ┏━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓ ┃ ┃ Name ┃ Country ┃ Sector ┃ Industry ┃ Exchange ┃ ┡━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩ │ MSF.BR │ Microsoft Corporation │ United States │ Technology │ Software - Infrastructure │ Belgium │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ MSF.DE │ Microsoft Corporation │ United States │ Technology │ Software - Infrastructure │ Germany │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ MSF.F │ Microsoft Corporation │ United States │ Technology │ Software - Infrastructure │ Germany │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ MSF2.L │ Leverage Shares 2x Microsoft ETC A │ None │ None │ None │ United-Kingdom │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ MSF3.L │ Leverage Shares 3x Microsoft ETC │ None │ None │ None │ United-Kingdom │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ MSFS.L │ Leverage Shares -1x Microsoft ETC │ None │ None │ None │ United-Kingdom │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ MSFT.BA │ Microsoft Corporation │ United States │ Technology │ Software - Infrastructure │ Argentina │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ MSFT.MX │ Microsoft Corporation │ United States │ Technology │ Software - Infrastructure │ Mexico │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ MSFT │ Microsoft Corporation │ United States │ Technology │ Software - Infrastructure │ USA │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ MSFT.SN │ Microsoft Corporation │ United States │ Technology │ Software - Infrastructure │ Chile │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ MSFT.VI │ Microsoft Corporation │ United States │ Technology │ Software - Infrastructure │ Austria │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ MSFT34.SA │ Microsoft Corporation │ United States │ Technology │ Software - Infrastructure │ Brazil │ ├───────────┼────────────────────────────────────┼───────────────┼────────────┼───────────────────────────┼────────────────┤ │ SMSF.L │ Leverage Shares -1x Microsoft ETC │ None │ None │ None │ United-Kingdom │ └───────────┴────────────────────────────────────┴───────────────┴────────────┴───────────────────────────┴────────────────┘ Then, load in the historical data of the company by using the load. We also choose a different starting period by using -s as shown in the documentation:\n2022 May 18, 05:43 (🦋) /stocks/ $ load MSFT -s 2021-01-01 Loading Daily MSFT stock with starting period 2021-01-01 for analysis. Datetime: 2022 May 18 05:43 Timezone: America/New_York Currency: USD Market: OPEN Company: Microsoft Corporation MSFT Performance ┏━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ 1 Day ┃ 1 Week ┃ 1 Month ┃ 1 Year ┃ YTD ┃ Volatility (1Y) ┃ Volume (10D avg) ┃ Last Price ┃ ┡━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ 2.18 % │ -0.99 % │ -4.88 % │ 10.66 % │ -20.13 % │ 24.31 % │ 39.77 M │ 266.82 │ └────────┴─────────┴─────────┴─────────┴──────────┴─────────────────┴──────────────────┴────────────┘ We can now plot the corresponding stock chart with candle which shows the company\u0026rsquo;s historical data from 2021-01-01 until the current date. We are also adding in the 20 and 30 day moving averages (MA).\n2022 May 18, 05:44 (🦋) /stocks/ $ candle --ma 20,30 Now we can go ahead and enter the Fundamental Analysis menu by typing fa. Please see Introduction to Fundamental Analysis for a more detailed guide on this menu. This will open the following:\nWithin this menu, I am now able to present the quarterly income statements over the last 3 years (or any other period) by using income.\n2022 May 18, 05:52 (🦋) /stocks/fa/ $ income -q -l 12 MSFT Income Statement ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━┓ ┃ ┃ 2019-06-30 ┃ 2019-09-30 ┃ 2019-12-31 ┃ 2020-03-31 ┃ 2020-06-30 ┃ 2020-09-30 ┃ 2020-12-31 ┃ 2021-03-31 ┃ 2021-06-30 ┃ 2021-09-30 ┃ 2021-12-31 ┃ 2022-03-31 ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━┩ │ Reported Currency │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ USD │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Gross Profit │ 23.305 B │ 22.649 B │ 24.548 B │ 24.046 B │ 25.694 B │ 26.152 B │ 28.882 B │ 28.661 B │ 32.161 B │ 31.671 B │ 34.768 B │ 33.745 B │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Total Revenue │ 33.717 B │ 32.428 B │ 36.322 B │ 34.315 B │ 38.033 B │ 36.724 B │ 42.558 B │ 41.059 B │ 45.595 B │ 44.743 B │ 51.228 B │ 48.732 B │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Cost Of Revenue │ 17.199 B │ 16.363 B │ 18.986 B │ 17.650 B │ 20.161 B │ 16.941 B │ 20.907 B │ 20.070 B │ 22.025 B │ 20.145 B │ 24.433 B │ 23.481 B │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Costof Goods And Services │ 10.412 B │ 10.406 B │ 12.358 B │ 10.975 B │ 12.339 B │ 11.002 B │ 14.194 B │ 13.045 B │ 13.991 B │ 13.646 B │ 16.960 B │ 15.615 B │ │ Sold │ │ │ │ │ │ │ │ │ │ │ │ │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Operating Income │ 12.405 B │ 12.686 B │ 13.891 B │ 12.975 B │ 13.407 B │ 15.876 B │ 17.897 B │ 17.048 B │ 19.095 B │ 20.238 B │ 22.247 B │ 20.364 B │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Selling General And │ 6.387 B │ 5.398 B │ 6.054 B │ 6.184 B │ 7.073 B │ 5.350 B │ 6.086 B │ 6.409 B │ 7.379 B │ 5.834 B │ 6.763 B │ 7.075 B │ │ Administrative │ │ │ │ │ │ │ │ │ │ │ │ │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Research And Development │ 4.513 B │ 4.565 B │ 4.603 B │ 4.887 B │ 5.214 B │ 4.926 B │ 4.899 B │ 5.204 B │ 5.687 B │ 5.599 B │ 5.758 B │ 6.306 B │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Operating Expenses │ 11.300 B │ 10.522 B │ 11.231 B │ 11.562 B │ 13.036 B │ 10.865 B │ 11.612 B │ 12.229 B │ 13.721 B │ 12.098 B │ 13.231 B │ 14.172 B │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Investment Income Net │ 709 M │ 724 M │ 688 M │ 673 M │ 595 M │ 570 M │ 545 M │ 519 M │ 497 M │ 520 M │ 503 M │ 519 M │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Net Interest Income │ -669 M │ -637 M │ -654 M │ -614 M │ -686 M │ -589 M │ -571 M │ -633 M │ -553 M │ -539 M │ -525 M │ -503 M │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Interest Income │ 321 M │ -139 M │ 281 M │ -153 M │ None │ None │ 545 M │ 519 M │ 497 M │ 520 M │ 503 M │ 519 M │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Interest Expense │ 669 M │ 637 M │ 654 M │ 614 M │ 686 M │ 589 M │ 571 M │ 633 M │ 553 M │ 539 M │ 525 M │ 503 M │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Non Interest Income │ 33.717 B │ 33.065 B │ 36.976 B │ 34.929 B │ 38.033 B │ 37.313 B │ 43.129 B │ 41.692 B │ 46.148 B │ 45.282 B │ 51.753 B │ 49.235 B │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Other Non Operating Income │ -121 M │ -18 M │ -19 M │ -3 M │ 0 │ 0 │ 70 M │ 6 M │ 22 M │ 6 M │ -4 M │ -11 M │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Depreciation │ None │ None │ None │ None │ None │ None │ None │ None │ None │ None │ None │ None │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Depreciation And │ 400 M │ 559 M │ 574 M │ 491 M │ 588 M │ 589 M │ 627 M │ 616 M │ 655 M │ 665 M │ 710 M │ 791 M │ │ Amortization │ │ │ │ │ │ │ │ │ │ │ │ │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Income Before Tax │ 12.596 B │ 12.686 B │ 14.085 B │ 12.843 B │ 13.422 B │ 16.124 B │ 18.337 B │ 17.236 B │ 19.405 B │ 20.524 B │ 22.515 B │ 20.190 B │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Income Tax Expense │ -591 M │ 2.008 B │ 2.436 B │ 2.091 B │ 2.220 B │ 2.231 B │ 2.874 B │ 1.779 B │ 2.947 B │ 19 M │ 3.750 B │ 3.462 B │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Interest And Debt Expense │ 669 M │ 637 M │ 654 M │ 614 M │ 686 M │ 589 M │ 571 M │ 633 M │ 553 M │ 539 M │ 525 M │ 503 M │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Net Income From Continuing │ 12.405 B │ 10.678 B │ 11.649 B │ 10.752 B │ 13.407 B │ 13.893 B │ 15.463 B │ 15.457 B │ 16.458 B │ 20.505 B │ 18.765 B │ 16.728 B │ │ Operations │ │ │ │ │ │ │ │ │ │ │ │ │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Comprehensive Income Net │ 14.112 B │ 10.957 B │ 11.455 B │ 13.683 B │ 11.712 B │ 13.807 B │ 15.720 B │ 13.552 B │ 16.818 B │ 19.966 B │ 17.919 B │ 13.815 B │ │ Of Tax │ │ │ │ │ │ │ │ │ │ │ │ │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Ebit │ 13.265 B │ 13.323 B │ 14.739 B │ 13.457 B │ 14.108 B │ 16.713 B │ 18.908 B │ 17.869 B │ 19.958 B │ 21.063 B │ 23.040 B │ 20.693 B │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Ebitda │ 13.665 B │ 13.882 B │ 15.313 B │ 13.948 B │ 14.696 B │ 17.302 B │ 19.535 B │ 18.485 B │ 20.613 B │ 21.728 B │ 23.750 B │ 21.484 B │ ├────────────────────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┼────────────┤ │ Net Income │ 13.187 B │ 10.678 B │ 11.649 B │ 10.752 B │ 11.202 B │ 13.893 B │ 15.463 B │ 15.457 B │ 16.458 B │ 20.505 B │ 18.765 B │ 16.728 B │ └────────────────────────────┴────────────┴────────────┴────────────┴────────────┴────────────┴────────────┴────────────┴────────────┴────────────┴────────────┴────────────┴────────────┘ "},{"id":754,"href":"/OpenBBTerminal/bots/","title":"OpenBB Bots","parent":"Getting Started","content":"The purpose of the Financial Chatting bots are to remove the need of you and your group of friends /colleagues migrating to any chatting tool to use the terminal capabilities. Instead, our OpenBB Terminal Bot will seamlessly integrate with your already existing conversations/chats/servers.\nPlatforms: Discord Dd Analyst Arktrades Borrowed Customer Est Pt Sec Supplier Disc Fidelity Tops Ugs Dps Dpotc Ftd Hsi Pos Psi Shorted Sidtc Spos Econ Cpi Currencies Energy Futures Glbonds Grains Indices Meats Metals Overview Performance Repo Softs Usbonds Valuation Etf Disc Tops Holdings by Etf Holdings by Ticker Gov Contracts Gtrades Histcont Lastcontracts Lasttrades Lobbying Qtrcontracts Topbuys Index. Topsells Misc Earnings Futures Ins Last Megashill Moon Options Chain Grhist Hist Info Oi Overview Smile Unu Vol Vsurf Price Btc Candle Eth Quote Sol Screener Financial Overview Ownership Performance Presets Custom Presets Default Technical Valuation Sia Cpic Cps Metrics Ta Ad Adosc Adx Aroon Bbands Cci Cg Donchian Fib Fisher Kc Ma Macd Obv Recom Rsi Stoch Summary View Groupme Slack Telegram Discord, Telegram, Slack and GroupMe integration The only cross-platform financial chatting bot to accommodate for your already existing groups/chats/servers. We will go in detail regarding the commands within Discord Bot. However, for the other chatting platforms, we will just list the main differences as the commands are expected to be invoked in the same manner. Investment data should be OS agnostic This bot will allow to access the terminal features using any type of device. From mobile phone to tablet and computer. Use bot for your own investment research If you don\u0026rsquo;t want to engage with the bot in an open-server setting, you can message the bot directly and interact with data on a more private setting. Customize the bot to your needs The bot also benefits from an MIT Open Source license, which means that you can customize it according to your needs and include proprietary features. "},{"id":755,"href":"/OpenBBTerminal/api/","title":"OpenBB Python API","parent":"Getting Started","content":"The OpenBB Python API was created to enable usage of the terminal functionality in python scripts and IPython Notebooks (Jupyter). The API wraps the functionality of the terminal in a way that the Python commands follow the same convention as the terminal.\nFor example stocks/load aapl becomes openbb.stocks.load(\u0026quot;aapl\u0026quot;).\n\nTable of Contents Python environment setup Understanding the API functions Usage examples External matplotlib axes support Python environment setup Import the GST API into your python script or notebook with\nfrom openbb_terminal import api as openbb Understanding the API functions To understand the parameters of an API function the simplest way is to refer to the docstring. Docstrings can be viewed using the code introspection tools of your text/notebook editor or the built-in python help command. Docstrings contain both the description of the functionality and the overview of the parameters.\nAs an example this is the docstring of openbb.economy.bigmac:\nDisplay Big Mac Index for given countries Parameters ---------- country_codes : List[str] List of country codes to get for raw : bool, optional Flag to display raw data, by default False export : str, optional Format data, by default \u0026#34;\u0026#34; external_axes : Optional[List[plt.Axes]], optional External axes (3 axes are expected in the list), by default None Usage examples Load stock data into a dataframe:\naapl_data = openbb.stocks.load( ticker=\u0026#34;aapl\u0026#34;, start=\u0026#34;2021-06-10\u0026#34;, ) aapl_data = openbb.stocks.process_candle(aapl_data) Plot candle chart\nopenbb.stocks.candle(\u0026#34;AAPL\u0026#34;, aapl_data, True) Call the \u0026ldquo;What if\u0026rdquo; command of the backtesting menu\nopenbb.stocks.bt.whatif(\u0026#34;aapl\u0026#34;, 10, datetime.strptime(\u0026#34;2012-03-03\u0026#34;, \u0026#34;%Y-%m-%d\u0026#34;)) Get sentiment for a list of tickers\nopenbb.stocks.ca.models.finbrain.get_sentiments(tickers=[\u0026#34;aapl\u0026#34;]) Print key fundamental metrics for past 2 years\nopenbb.stocks.fa.fmp.metrics(ticker=\u0026#34;AAPL\u0026#34;, number=2) Get fundamental metrics for past 3 years as a pandas dataframe\nopenbb.stocks.fa.fmp.models.fmp.get_key_metrics(ticker=\u0026#34;AAPL\u0026#34;, number=3) Perform an OLS regression on multiple custom datasets\nopenbb.econometrics.ols( regression_variables=[ \u0026#39;close-tsla\u0026#39;, \u0026#39;volume-aapl\u0026#39; ], data={\u0026#34;aapl\u0026#34;:aapl_data,\u0026#34;tsla\u0026#34;:tsla_data}, datasets={ \u0026#34;close-tsla\u0026#34;:{\u0026#34;Close\u0026#34;: None, \u0026#34;tsla\u0026#34;: None}, \u0026#34;volume-aapl\u0026#34;:{\u0026#34;Volume\u0026#34;: None, \u0026#34;aapl\u0026#34;: None} } ) External matplotlib axes support Most of the functions of the terminal that generate matplotlib charts support passing external axes into them. This is very handy when you want a chart that is generated by GST to appear in another chart that you are creating in a notebook.\nExample:\n# Load stock data ticker = \u0026#34;AAPL\u0026#34; stock_data = openbb.stocks.load(ticker=\u0026#34;aapl\u0026#34;) # Create a matplotlib figure fig, axes = plt.subplots(3, 1, figsize=(10, 7)) # Use GST to add charts to the axes of the created figure openbb.stocks.ta.macd(s_ticker=ticker, series=aapl[\u0026#34;Close\u0026#34;], external_axes=axes[0:2]) openbb.stocks.options.voi_yf( ticker=ticker, expiry=\u0026#34;2022-03-11\u0026#34;, min_sp=110, max_sp=210, min_vol=0.3, external_axes=[axes[2]], ) # Show the figure with charts fig.show() "},{"id":756,"href":"/OpenBBTerminal/terminal/","title":"OpenBB Terminal","parent":"Getting Started","content":"OpenBB is a leading open source investment analysis company. We represent millions of investors who want to leverage state-of-the-art data science and machine learning technologies to make sense of raw unrefined data. Our mission is to make investment research effective, powerful and accessible to everyone.\nAll our products are Free and Open-Source (FOSS).\n \nWhy Python? Python is one of the most used programming languages due to its simplified syntax and shallow learning curve. On top of this, it is highly used in data science and academia world (particularly on finance, economics or business related degrees). This is very important, as it is the first time in history that users - regardless of their background - can so easily add features to an investment research platform. Why Open Source? An open source product allows for higher quality, greater reproducibility, lower costs, more transparency, and faster go-to-market due to the strong community created. In addition, users can adapt the platform to their needs or even build proprietary features on top of our infrastructure - which ultimately can result in a marketplace. Importing and Exporting data The terminal allows for users to import their own proprietary datasets to use on our econometrics menu. In addition, users are allowed to export any type of data to any type of format whether that is raw data in Excel or an image in PNG. This is also ideal for finance content creation. Automatic notebook reports Create notebook templates (through papermill) which can be run on different tickers. This level of automation allows speeding up the development of your investment thesis and reduce human error. OpenBB API and Customizable notebook reports Use our OpenBB Terminal environment to access raw data through a Jupyter Notebook and play with it accordingly. Or just create customizable notebook reports for your colleagues and friends doing research on a particular asset or a macroeconomic event impact on said asset. The possibilities are endless. Advanced user and routines Navigate through 750+ terminal features using fast shortcuts and leverage auto-complete functionality. Jump from looking into your portfolio to comparing the financials of those companies in a few seconds. Leverage our routines implementation to run analysis while you drink your coffee or tea. "},{"id":757,"href":"/OpenBBTerminal/terminal/stocks/sia/","title":"Sector \u0026 Industry Analysis (SIA)","parent":"Introduction to Stocks","content":"A sector analysis is a study of the economic and financial state and prospects of a certain economic sector. An investor can use sector analysis to make a prediction about how well companies in the sector will perform. Investors that specialize in a specific sector or who utilize a top-down or sector rotation approach to investing generally use sector analysis.\nThe most promising sectors are chosen first under the top-down strategy, and then the investor evaluates stocks within that sector to choose which ones will be purchased. Investing in specific equities or using sector-based exchange-traded funds can be used to implement a sector rotation strategy (ETFs).\nAvailable commands Clear Country Cpci Cpcs Cpic Cpis Cps Exchange Industry Load Metric Mktcap Period Sama Satma Sector Vis "},{"id":758,"href":"/OpenBBTerminal/tags/","title":"Tags","parent":"Getting Started","content":""}]
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