Gym Trading Env is an Gymnasium environment for simulating stocks and training Reinforcement Learning (RL) trading agents. It was designed to be fast and customizable for easy RL trading algorithms implementation.
| Documentation |
This package aims to greatly simplify the research phase by offering :
Gym Trading Env supports Python 3.9+ on Windows, Mac, and Linux. You can install it using pip:
pip install gym-trading-env
Or using git :
git clone https://github.com/ClementPerroud/Gym-Trading-Env
FAQs
A simple, easy, customizable Open IA Gym environments for trading.
We found that gym-trading-env demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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