Project

Overview

This program predicts tomorrow's Apple stock price (AAPL) using historical data. These data are downloaded using the yfinance package and cleaned up using pandas to be used for machine learning. Then, a random forest model is trained and predictions are made using backtesting. Lastly, additional predictors are added to the model to improve the model.