Stock Price Prediction using LSTM and Multi-Task Learning

This project extends the LSTM model to multi-task learning for stock price prediction. In addition to predicting stock prices, the model also predicts other financial metrics, such as trading volume, market sentiment, or volatility. Multi-task learning allows the model to share representations across related tasks, improving prediction accuracy for each individual task. The repository includes code for data preprocessing, model architecture, and training pipelines.