This project leverages deep learning techniques, specifically using PyTorch and GRU models, to analyze and forecast stock market trends. It includes data from major companies like Google, Microsoft, IBM, and Amazon. The analysis covers trends, cyclical fluctuations, and seasonality in stock prices, providing insights into historical performance and future predictions. The forecasting uses GRU models to predict stock prices based on historical data, aiming to provide a robust tool for market analysis.