TorchTrade/torchtrade
Modular reinforcement learning framework for algorithmic trading
This framework helps quantitative traders and financial researchers develop and deploy algorithmic trading strategies. You can input historical market data or connect directly to live exchanges like Binance or Alpaca. It generates trading signals and executes trades based on sophisticated machine learning models, including reinforcement learning and large language models, allowing you to backtest ideas and automate live trading.
Use this if you are a quantitative trader, financial researcher, or anyone looking to build, test, and deploy advanced AI-driven trading algorithms for single assets across multiple timeframes.
Not ideal if you are looking for multi-asset portfolio optimization or cross-asset trading strategies, as the current version focuses on single-asset environments.
Stars
69
Forks
6
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
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