Towards Accurate Short-Term Stock Price Prediction using Advanced Machine Learning Techniques

Developed advanced machine learning models, including LSTM with a specialized Rabbit optimizer and SVMs, to enhance the accuracy of short-term stock price forecasts. Explored the challenges of fading gradients in LSTM models and proposed potential solutions. Evaluated model performance using known indicators and visualized learning dynamics. This project aimed to advance stock price prediction techniques and empower investors and financial institutions to make informed decisions in a dynamic market.