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/investing Subreddit Sort Mode: 'hot' Scraping 200 most recent posts
| Symbol: Number of Mentions | Bullish % | Bearish % | Neutral % |
|---|---|---|---|
| SPY: 54 | 48 | 31 | 20 |
| HD: 39 | 74 | 12 | 12 |
| AAL: 31 | 54 | 38 | 6 |
| BABA: 31 | 61 | 29 | 9 |
| FB: 27 | 59 | 22 | 18 |
| QQQ: 23 | 60 | 26 | 13 |
| TSLA: 20 | 70 | 10 | 20 |
| LK: 19 | 42 | 47 | 10 |
| VTI: 19 | 68 | 10 | 21 |
| VOO: 18 | 77 | 11 | 11 |
| GM: 18 | 66 | 27 | 5 |
| MSFT: 18 | 66 | 16 | 16 |
| CCP: 17 | 41 | 58 | 0 |
| GE: 13 | 53 | 38 | 7 |
| JPM: 13 | 53 | 23 | 23 |
| AMZN: 10 | 80 | 10 | 10 |
| BA: 10 | 60 | 30 | 10 |
| DAL: 10 | 80 | 20 | 0 |
Analysis finished successfully at 2020-05-23 20:26:32.133890.
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.
Consider donating a singular tendy before your next options trade to help me develop better models and eventually a website to track data perpetually over time: https://ko-fi.com/anujsaharan
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 May 23, 2020 at 08:26PM by AnujSaharan https://ift.tt/3bZRB8C
