Yvictor/TradingGym

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1910 stars · 370 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TradingGym is an OpenAI Gym-style Python toolkit providing trading environments for training reinforcement learning agents and backtesting rule-based or RL trading strategies. It supports tick data and OHLC data with configurable fees, position limits, and feature columns.

Use cases

• train a reinforcement learning agent for trading
• backtest trading strategies in python
• simulate trading on tick data
• gym environment for financial trading
• test rule-based trading algorithms
• backtest strategies on ohlc data

When to choose

• you want an OpenAI Gym-style environment for trading RL research
• you need to backtest on tick-level or OHLC market data
• you want configurable fees and position limits in a trading simulator

When to avoid

• you need production live trading with broker integration
• you want a maintained framework with active development
• you need built-in RL training algorithms, which are still work-in-progress

Facets

library · maturity maintenance

reinforcement-learning simulation trading benchmarking reinforcement-learning fintech machine-learning simulation python cross-platform openai-gym backtesting trading-environment tick-data rl-environment

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Yvictor/TradingGym")