OpenBB/gamestonk_terminal/behavioural_analysis

BEHAVIOURAL ANALYSIS

This menu aims to extrapolate behavioural analysis regarding a pre-loaded ticker, and the usage of the following commands along with an example will be exploited below.

• finbrain
  • sentiment from 15+ major news headlines
• stats
  • sentiment stats including comparison with sector

REDDIT

• wsb
  • show what WSB gang is up to in subreddit wallstreetbets
• watchlist
  • show other users watchlist
• popular
  • show popular tickers
• spac_c
  • show other users spacs announcements from subreddit SPACs community
• spac
  • show other users spacs announcements from other subs

STOCKTWITS

• bullbear
  • estimate quick sentiment from last 30 messages on board
• messages
  • output up to the 30 last messages on the board
• trending
  • trending stocks
• stalker
  • stalk stocktwits user's last messages

TWITTER

• infer
  • infer about stock's sentiment from latest tweets
• sentiment
  • in-depth sentiment prediction from tweets over time

GOOGLE

• mentions
  • interest over time based on stock's mentions
• regions
  • regions that show highest interest in stock
• queries
  • top related queries with this stock
• rise
  • top rising related queries with stock

finbrain

usage: finbrain

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: See https://finbrain.tech]

stats

usage: stats

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]

REDDIT

wsb

usage: wsb [-l N_LIMIT] [-n]

Print what WSB gang are up to in subreddit wallstreetbets. [Source: Reddit]

• -l : limit of posts to print. Default 10.
• -n : new flag, if true the posts retrieved are based on being more recent rather than their score. Default False.

watchlist

usage: watchlist [-l N_LIMIT]

Print other users watchlist. [Source: Reddit]

• -l : limit of posts to print. Default 5.

popular

usage: popular [-l N_LIMIT] [-s S_SUBREDDIT] [-d N_DAYS]

Print latest popular tickers. [Source: Reddit]

• -l : limit of posts retrieved per sub reddit. Default 50.
• -s : subreddits to look for tickers, e.g. pennystocks,stocks. Default: pennystocks, RobinHoodPennyStocks, Daytrading, StockMarket, stocks, investing, wallstreetbets.

spac_c

usage: spac_c [-l N_LIMIT] [-p]

Print other users SPACs announcement under subreddit 'SPACs'. [Source: Reddit]

• -l : limit of posts with SPACs retrieved. Default 10.
• -p : popular flag, if true the posts retrieved are based on score rather than time. Default False.

spac

usage: spac [-h] [-l N_LIMIT] [-d N_DAYS]

Print other users SPACs announcement under subreddit 'SPACs'. [Source: Reddit]

• -l : limit of posts with SPACs retrieved. Default 5.

STOCKTWITS

bullbear

usage: bullbear [-t S_TICKER]

Print bullbear sentiment based on last 30 messages on the board. Also prints the watchlist_count. [Source: Stocktwits]

• -t : ticker to gather sentiment from.

messages

usage: messages [-t S_TICKER] [-l N_LIM]

Print up to 30 of the last messages on the board. [Source: Stocktwits]

• -t : get board messages from this ticker. Default pre-loaded.
• -l : limit messages shown. Default 30.

trending

usage: trending

Stocks trending. [Source: Stocktwits]

stalker

usage: stalker [-u S_USER] [-l N_LIM]

Print up to the last 30 messages of a user. [Source: Stocktwits]

• -u : username. Default newsfilter.
• -l : limit messages shown. Default 30.

TWITTER

infer

usage: infer [-n N_NUM]

Print quick sentiment inference from last tweets that contain the ticker. This model splits the text into character-level tokens and uses the DistilBERT model to make predictions. DistilBERT is a distilled version of the powerful BERT transformer model. Not only time period of these, but also frequency. Inspired by https://towardsdatascience.com/sentiment-analysis-for-stock-price-prediction-in-python-bed40c65d178. [Source: Twitter]

• -n : num of latest tweets to infer from. Default 100.

sentiment

usage: sentiment [-n N_NUM] [-d N_DAYS_PAST]

Plot in-depth sentiment extracted from tweets from last days that contain pre-defined ticker. This model splits the text into character-level tokens and uses the DistilBERT model to make predictions. DistilBERT is a distilled version of the powerful BERT transformer model. Note that a big num of tweets extracted per hour in conjunction with a high number of days in the past, will make the algorithm take a long period of time to estimate sentiment. Inspired by https://towardsdatascience.com/sentiment-analysis-for-stock-price-prediction-in-python-bed40c65d178. [Source: Twitter]

• -n : num of tweets to extract per hour. Default 100.
• -d : num of days in the past to extract tweets. Default 7.

Additional examples:

GOOGLE

mentions

usage: mentions [-s S_START]

Plot weekly bars of stock's interest over time. other users watchlist. [Source: Google]

• -s : starting date (format YYYY-MM-DD) from when we are interested in stock's mentions. Default: the one provided in main menu.

regions

usage: regions [-n N_NUM]

Plot bars of regions based on stock's interest. [Source: Google]

• -n : number of regions to plot that show highest interest. Default 10.

queries

usage: queries [-n N_NUM]

Print top related queries with this stock's query. [Source: Google]

• -n : number of top related queries to print. Default 10.

rise

usage: rise [-n N_NUM]

Print top rising related queries with this stock's query. [Source: Google]

• -n : number of top rising related queries to print. Default 10.