Stock Price Forecasting using LSTM and Time Series Clustering

This project leverages LSTM to forecast stock prices, combined with time-series clustering techniques to identify similar patterns in historical data. By grouping stocks with similar behavior, the model improves prediction accuracy for individual stocks, ensuring that price movements are forecasted more reliably based on shared trends in market behavior.