This program goes through reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.

subs = [] sub-reddit to search post_flairs = {} posts flairs to search || None flair is automatically considered goodAuth = {} authors whom comments are allowed more than once uniqueCmt = True allow one comment per author per symbol ignoreAuthP = {} authors to ignore for posts ignoreAuthC = {} authors to ignore for comment upvoteRatio = float upvote ratio for post to be considered, 0.70 = 70% ups = int define # of upvotes, post is considered if upvotes exceed this # limit = int define the limit, comments 'replace more' limit upvotes = int define # of upvotes, comment is considered if upvotes exceed this # picks = int define # of picks here, prints as "Top ## picks are:" picks_ayz = int define # of picks for sentiment analysis

It took 1574.61 seconds to analyze 14236 comments in 8 posts in 1 subreddits.

Posts analyzed saved in titles

10 most mentioned picks: GME: 764 SPCE: 183 PLTR: 89 TSLA: 71 MVIS: 42 NVDA: 34 AMD: 30 F: 29 TLRY: 29 AAPL: 26

Sentiment analysis of top 5 picks: Bearish Neutral Bullish Total/Compound GME 0.087 0.707 1.548 0.030 SPCE 0.119 0.645 1.618 0.027 PLTR 0.073 0.649 1.751 0.032 TSLA 0.088 0.650 1.543 0.049 MVIS 0.155 0.698 1.714 -0.020

Includes US stocks with market cap > 100 Million, and price above $3. It doesn't include penny stocks. You can download data from here: Source (US stocks): https://www.nasdaq.com/market-activity/stocks/screener?exchange=nasdaq&letter=0&render=download\

This project is licensed under the MIT License - see the LICENSE.md file for details.