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DidierRLopes b3d9ef479c Improve menu UX (#532) 
* Improve bt menu

* minor typo

* improve ba menu

* improve brokers menu

* improve CA menu

* improve crypto menu

* improve disc menu

* improve dd menu

* improve econ menu

* improve etf menu

* improve EDA menu

* improve fx menu

* improve FA menu

* improve gov menu

* improve op menu

* improve mill menu

* improve pa menu

* improve pred menu

* improve res menu

* improve ra menu

* improve rc menu

* improve scr menu

* improve po menu

* improve ta menu

* improve main terminal menu
2021-07-05 09:17:24 +01:00
..
__init__.py
Refactor sentiment menu
2021-03-17 21:43:01 +00:00
ba_controller.py
Improve menu UX (#532)
2021-07-05 09:17:24 +01:00
finbrain_view.py
Fixing pylint errors and warnings
2021-04-20 22:25:29 -07:00
finnhub_view.py
fix line too long
2021-05-03 15:30:35 +01:00
google_view.py
fixed some typos
2021-04-13 05:25:39 -07:00
README.md
Changing NLP from Flair to VADER (#491)
2021-06-10 19:14:25 -04:00
reddit_view.py
Refactor main terminal code (#507)
2021-06-19 18:21:52 +01:00
stocktwits_view.py
Refactor sentiment menu
2021-03-17 21:43:01 +00:00
twitter_view.py
A bunch of bugfixes (#529)
2021-07-05 08:44:40 +01:00

README.md

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]

finbrain2

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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]

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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.
wsb

watchlist 

usage: watchlist [-l N_LIMIT]

Print other users watchlist. [Source: Reddit]

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

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.
popular

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_c

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.
spac

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.
sentiment

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.
messages

trending 

usage: trending

Stocks trending. [Source: Stocktwits]

trending

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.
stalker

TWITTER

Uses VADER sentiment. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media.

The output of VADER analysis :

The compound score is computed by summing the valence scores of each word in the lexicon, adjusted according to the
rules, and then normalized to be between -1 (most extreme negative) and +1 (most extreme positive). This is the most
useful metric if you want a single unidimensional measure of sentiment for a given sentence. Calling it a 'normalized,
 weighted composite score' is accurate.

A sample tweet is shown below along with what the VADER polarity scores are.

Have some $SENS  🚀🏆\n👉FDA approval coming very soon, 👉News is out, amazing test results. \n👉Very high short
interest rate. \n👉Major short squeeze coming. \n\n$amc $gme $nakd $ctrm $tsla $aapl $oeg $aht $bbby $bb $fsr $spce
 https://t.co/B0cPhufpA2'

This gives the following scores:

created_at                                  Thu Jun 03 20:37:54
text          Have some $SENS  🚀🏆\n👉FDA approval coming very...
sentiment                                                 0.872
positive                                                  0.177
negative                                                      0
neutral                                                   0.823

Note that both functions use twitters v2 endpoint, which only gives 7 days of historical data. It also requires at least 10 tweets be pulled.

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 theVADER model to make predictions.

  • -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 VADER model to make predictions.

  • -n : num of tweets to extract per hour. Default 15.
  • -d : num of days in the past to extract tweets. Default 6. Max 6

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.

gme

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.

regions

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.
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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.
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