This tool is used to parse all of the comments on WSB in the past X time. Counts the tickers and their occurrence count, then presents if WSB is bullish or bearish or neutral on said ticker. (Using a custom version of VaderSentiment)
- Improve VADER Sentiment
- Add Changelog
- Create Web App
- Create setup.py
- Add init SQL scripts
- Handle "MoreComments"
- Add Award Count
- Add comments to database
- What submissions should I go throgh?
- New/Hot/Top/Controversial/Guilded
- Potential for multiple tickers within comments.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
- Docker-compose
- Python 3.8.3
cd wsb-scraper
pip install -r requirements.txt
# Starts MySQL DB and Node server
docker-compose up --build
# Run Scraper in other terminal window
cd wsb-scraper
python main.py
- Future : VaderSentiment - Used to determine if comment of ticker is Bullish or Bearish. (Tweaked with personal rules)
- MySQL
Fork this repo and merge into master.
Will update contributing rules once versioning is decided
TBD
- Jetemple - Sole work
See also the list of contributors who participated in this project.