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r/wallstreetbets comments reasoner for tickers using VADER scores.
The algorithm consists of two parts.
- The 'schedule_upload.py' runs every 30 minutes and loads the most available comments which then gets pre-processed, analyzed, and uploaded to the user's database. Tickers list for searching is from AlphaVantage. Analysis performed using VADER scoring from nltk package. Scores and comments uploaded to users' database (MongoDB).
- The 'streamlit_visuals.py' is a Streamlit python file that is used for creating dashboards.
Clone the project and run miniconda/anaconda.
Set credentials in settings.py for MongoDB and AlphaVantage.
conda env create -f conda_requirements.yml
conda activate WSB-reasoner
# For data loading and VADER analysis
python scheduled_upload.py
# For visualization of data
streamlit run streamlit_visuals.py
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.