Deep Reinforcement Learning for Stock Price Prediction

This project focuses on applying Deep Reinforcement Learning (DRL) to the problem of stock price prediction. The DRL model trains itself through interactions with market data, learning an optimal strategy for trading stocks by maximizing long-term rewards. This project explores using real-time market changes to buy, sell, or hold stocks based on predicted future prices, optimizing for the best possible return.