This project presents a machine learning approach aimed at developing a predictive trading strategy for the stock market. Utilizing historical stock data from Yahoo Finance for Apple and Google between 2020 and 2024, our models are designed to predict the optimal trading action for the next day.
- Logistic Regression
- Feed Forward Neural Network
- Transformer Neural Network
- Bidirectional Recurrent Neural Network with Long Short Term Memory
- Daily indicators: Open, Close, High, Low, Volume, Date
- Technical indicators:
- RSI (Relative Strength Index)
- MACD (Moving Average Convergence Divergence)
- Bollinger Bands
- ATR (Average True Range)