AminHP/gym-anytrading

Health v2 · maintenance only

Adoption not part of the score

2386 stars · 479 forks observed · 2026-08-28

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

gym-anytrading is a collection of OpenAI Gym environments for developing and testing reinforcement learning-based trading algorithms in FOREX and stock markets. It provides an abstract TradingEnv plus concrete ForexEnv and StocksEnv with simplified buy/sell actions and positions.

Use cases

• train an RL agent to trade stocks
• backtest a DQN trading strategy
• build a q-learning forex trading bot
• gym environment for algorithmic trading research
• simulate trading positions and rewards for reinforcement learning
• benchmark RL trading algorithms

When to choose

• you want a simple, ready-made Gym environment for RL trading experiments
• you are prototyping DQN or Q-learning agents on stock or forex price data
• you need a flexible base class to extend with custom trading environments

When to avoid

• you need a full production trading system with money management and multiple markets
• you require realistic broker execution, fees, and order types
• you expect an RL agent to handle all trading decisions like hold, budget, and portfolio allocation

Facets

library · maturity stable

reinforcement-learning simulation machine-learning reinforcement-learning fintech machine-learning python cross-platform openai-gym trading-environment forex stocks q-learning dqn rl-environments algorithms

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