- Download most recent statuses from Elon's twitter
- Align tweets with the increase / drop in Tesla stock
- Train a machine learning model to determine if Elon is having a nervous breakdown
- ????
- Lose all your money because you trusted a crappy python script you found on Github
- 50.65% Precision... that's better than random, right?
- The model uses XGBoost and makes decisions based on the occurrence of certain words or phrases in a tweet. This really isnt how you should use XGBoost but whatever.
- Add better keywords for binary classification
- Use better method for processing tweets than indicating if keywords are present
- Use different types of machine learning algorithms
- Use larger datasets of stocks and Elon tweets to train and test on
Don't Doubt Your Vibe