I wrote a script to scrape all posts and comments from this Subreddit and ran each one of them through a lexicon and rule based sentiment analysis model that's also sensitive to slang, emoji, sarcasm, and qualitative modifiers.

The list goes in decreasing order of how many times the stock was mentioned on this Subreddit and percentages are calculated with respect to the total number of mentions. Enjoy, you madlads! Reddit Stock Sentiment Scraper v1.1 Subreddit: r/stocks Subreddit Sort Mode: 'hot' Scraping 169 most recent posts

Symbol: Number of Mentions Bullish % Bearish % Neutral %
MSFT: 92 69 11 18
AMD: 68 69 16 14
DIS: 49 69 10 20
DKNG: 46 65 6 28
VOO: 45 75 6 17
TSLA: 42 71 11 16
SPY: 39 69 7 23
AAPL: 37 67 5 27
QQQ: 36 61 13 25
RTX: 27 62 7 29
NVDA: 26 61 19 19
ERI: 26 73 3 23
FB: 26 69 15 15
USO: 25 68 20 12
BA: 25 92 4 4
DAL: 24 83 8 8
MA: 24 66 4 29
BABA: 23 56 17 26
VTIQ: 23 69 0 30
PENN: 22 72 13 13
AMZN: 20 70 5 25
ENPH: 19 57 10 31
CCL: 18 83 5 11
XOM: 18 77 16 5
SHOP: 18 77 5 16

Analysis finished successfully at 2020-05-24 19:24:01.698933.

I can theoretically post updates every 5 seconds and analyze incoming posts and comments live but in the interest of not spamming, I plan to post this pre-market daily on trading days and some random time on the weekends.

Here's 19 megabytes of pure JSON if you want access to the raw data from which this post was generated: https://gofile.io/d/hIqcQU

submitted by /u/AnujSaharan
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