ClementPerroud/Gym-Trading-Env
A Gymnasium RL environment for training algorithmic trading agents on simulated stock market data.

Gym Trading Env provides a simulation environment for stocks and trading that integrates with the Gymnasium RL framework. It enables researchers and developers to train, test, and visualize reinforcement learning agents for algorithmic trading strategies. The environment supports complex operations like short selling and margin trading, with high-performance rendering capable of displaying hundreds of thousands of candles. It also includes data downloading capabilities from multiple exchanges for easy experimental setup.