A simple, easy, customizable Open IA Gym environments for trading.

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  • License: MIT License (MIT License Copyright (c) [year] [fullname] Permission is hereby granted, free of charge, to any p...)
  • Author: Clement Perroud
  • Requires: Python >=3.7
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Project description

python PyPI Apache 2.0 with Commons Clause Documentation Status Github stars

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.

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Key features

This package aims to greatly simplify the research phase by offering :

  • Easy and quick download technical data on several exchanges
  • A simple and fast environment for the user and the AI, but which allows complex operations (Short, Margin trading).
  • A high performance rendering (can display several hundred thousand candles simultaneously), customizable to visualize the actions of its agent and its results.
  • (Coming soon) An easy way to backtest any RL-Agents or any kind

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Installation

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

Documentation available here

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ClementPerroud from gravatar.com ClementPerroud

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License Copyright (c) [year] [fullname] Permission is hereby granted, free of charge, to any p...)
  • Author: Clement Perroud
  • Requires: Python >=3.7
Classifiers

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