btgym

Provides a standardized RL environment interface, making it easy to integrate with existing RL algorithms and frameworks, as highlighted in the key features.

Built on Backtrader for scalable, realistic market simulations that support both discrete and continuous action spaces, enabling close-to-real-world trading scenarios.

Offers random, sequential, and sliding time-window sampling methods to combat non-stationarity and overfitting, as described in the data selection options.

Allows trading of multiple financial instruments with discrete or continuous portfolio optimization, though multi-asset setups are noted as buggy or incomplete in updates.