Stock Market Analysis and Prediction

The project focuses on leveraging an LSTM neural network to predict stock market behaviour, addressing the challenges posed by market volatility and complexity. LSTM’s capability to handle long-term dependencies make it suitable for analysing historical stock prices and forecasting future trends. The model’s effectiveness is assessed through its accuracy and ability to generalize across various stocks and market conditions. Initial results indicate that the LSTM model can identify significant trends and patterns, though its accuracy is influenced by the quality of input data. Future enhancements could include incorporating additional market indicators and news sentiment to improve predictive performance and provide deeper insights for investors.