This program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
WSB is a subreddit community on Reddit where participants discuss stock and options trading. It's aggressive trading strategies revolve around highly speculative, leveraged options trading. Some of the members tend to use borrowed capital, like student loans or margin.
It took 350.54 seconds to analyze 7085 comments in 16 posts.
Posts analyzed:
Weekend Discussion Thread for the Weekend of January 01, 2021
How I'm making money while I lose money
Nio has just been orbiting earth to build up momentum to sling shot to the moon🚀🚀🚀🚀
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[Includes the title of all the posts analyzed (16 posts in this example)]
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Bloomberg Getting In On Our Lingo
10 most mentioned picks:
GME: 134
PLTR: 119
NIO: 101
TSLA: 96
BABA: 41
AAPL: 28
SQ: 23
RIOT: 19
U: 14
PSTH: 14
Sentiment analysis of top 5 picks:
Bearish Neutral Bullish Total/Compound
GME 0.057 0.856 0.087 0.055
PLTR 0.071 0.847 0.082 -0.035
NIO 0.044 0.849 0.106 0.148
TSLA 0.068 0.829 0.103 0.175
BABA 0.069 0.862 0.070 0.077
Includes US stocks with market cap > 100 Million, and price above $3. As wsb doesn't allow penny stocks discussions.
Source: https://www.nasdaq.com/market-activity/stocks/screener?exchange=nasdaq&letter=0&render=download
Implementation: I am using sets to compare that if the ticker is valid, sets time complexity for "x in s" is O(1) compare to list: O(n).
Limitations: It depends mainly on the defined parameters for current implementation: It completely ignores the heavily downvoted comments, and there can be a time when the most mentioned ticker is heavily downvoted, but you can change that in upvotes variable.