tensortrade-org/tensortrade

Health v2 · maintenance only

Adoption not part of the score

7067 stars · 1316 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

TensorTrade is an open-source Python framework for building, training, and evaluating reinforcement learning agents for algorithmic trading. It provides composable components such as environments, action schemes, reward functions, and data feeds that can be combined to create custom trading systems.

Use cases

• train RL agents to trade stocks or crypto
• backtest reinforcement learning trading strategies
• compare trading agents against buy-and-hold
• build custom trading environments with reward functions
• tune hyperparameters of trading agents with Optuna
• deploy robust algorithmic trading agents

When to choose

• you want to apply reinforcement learning to trading with a composable Python framework
• you need prebuilt trading environments, action schemes, and reward schemes
• you plan to train agents with Ray RLlib and Optuna

When to avoid

• you need a production-ready trading bot with guaranteed profits
• you want a simple backtesting library without RL
• you need a framework in a language other than Python

Facets

framework · maturity active

reinforcement-learning machine-learning trading data-science machine-learning reinforcement-learning fintech data-science python cross-platform algorithmic-trading trading-agents ray-rllib optuna financial-markets

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tensortrade-org/tensortrade")