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btgym
Python

btgym

Scalable, event-driven, deep-learning-friendly backtesting library

by Kismuz · GitHub
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a3cadvantage-actor-criticalgorithmic-trading-libraryLGPL-3.0Python
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In plain words

Run reinforcement learning experiments in algorithmic trading using a library that integrates with popular trading and gym environments.

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1 0331 032
2026-07-202026-08-31
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📄 About

Scalable, event-driven, deep-learning-friendly backtesting library

btgym has 1k stars on GitHub. It has been forked 258 times. btgym is written mainly in Python. It has been in active development since 2017. btgym is available under the LGPL-3.0 license. Its main topics are a3c, advantage-actor-critic, algorithmic-trading-library, algoritmic-trading.

Frequently asked questions

What is btgym?

Scalable, event-driven, deep-learning-friendly backtesting library

Is btgym open source?

btgym is an open-source project. It is released under the LGPL-3.0 license.

Is btgym free?

Yes. btgym is free and open source — you can use, modify and self-host it. Its LGPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does btgym use?

btgym is available under the LGPL-3.0 license.

What language is btgym written in?

btgym is written mainly in Python.

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