I got into stock trading last summer and found a stock subreddit call wallstreetbets that I visit often. I got curious to know how the sentiment reflects the market performance
Scrapes the daily discussion threads of r/wallstreetbet and uses keywords in comments to estimate the sentiment for that day. The sentiment goes from -1 to 1, where -1 is extremely bearish, and 1 is extremely bullish (0 is neutral). Uploads the data to a google spreadsheet
Code made in python and run on the google cloud compute engine
Challenges:
- Was hard to figure out how to get google spreadsheets to work (a bunch of issues with authentication)
- I'm inexperienced in python so I had to learn
Accomplishments that I'm proud of
- Successfully able to convert reddit posts into data!
What I learned
- a little python
- how to make a reddit bot
- google cloud compute, google sheets api
What's next for wallstreetbets sentiment indicator
- considers emojis, buy, sell, moon/drill w/o spy, also use QQQ and DIA.
- maybe use natural language (could be an issue with reddit)
