Metadata-Version: 2.4
Name: gym-trading-env-continuous
Version: 1.0.3
Summary: A simple, easy, customizable Gymnasium environment for trading.
Author-email: Remy Chaput <rchaput.pro@gmail.com>, Clement Perroud <clement.perroud.pro@gmail.com>
License: MIT License
        
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Project-URL: Homepage, https://github.com/rchaput/gym-trading-env-continuous
Project-URL: Bug Tracker, https://github.com/rchaput/gym-trading-env-continuous/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: pandas>=1.5.3
Requires-Dist: numpy>=1.21.1
Requires-Dist: gymnasium>=0.28.1
Requires-Dist: flask>=2.2.3
Requires-Dist: pyecharts>=2.0.2
Requires-Dist: ccxt==3.0.59
Requires-Dist: nest_asyncio
Dynamic: license-file


<h1 align='center'>
   <img src = 'https://github.com/ClementPerroud/Gym-Trading-Env/raw/main/docs/source/images/logo_light-bg.png' width='500'>
</h1>

<section class="shields" align="center">
   <a href="https://www.python.org/">
      <img src="https://img.shields.io/badge/python-v3-brightgreen.svg"
         alt="python">
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   <a href="https://pypi.org/project/gym-trading-env/">
      <img src="https://img.shields.io/badge/pypi-v1.1.3-brightgreen.svg"
         alt="PyPI">
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   <a href='https://gym-trading-env.readthedocs.io/en/latest/?badge=latest'>
         <img src='https://readthedocs.org/projects/gym-trading-env/badge/?version=latest' alt='Documentation Status' />
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      <img src="https://img.shields.io/github/stars/ClementPerroud/gym-trading-env?style=social" alt="Github stars">
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</section>
  
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.

*Gym Trading Env Continuous* is a fork that uses continuous actions by default;
it includes a wrapper that allows using discrete actions exactly as in the
original Gym Trading Env. Everything else should work the same, and the original
documentation should be useful as well.


| [Documentation](https://gym-trading-env.readthedocs.io/en/latest/index.html) |


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 

![Render animated image](https://raw.githubusercontent.com/ClementPerroud/Gym-Trading-Env/main/docs/source/images/render.gif)

Installation
---------------

Gym Trading Env supports Python 3.9+ on Windows, Mac, and Linux. You can install it using pip:

```bash
pip install gym-trading-env-continuous
```

Or using git :

```bash
git clone https://github.com/rchaput/gym-trading-env-continuous
```


[Documentation available here](https://gym-trading-env.readthedocs.io/en/latest/index.html)
-----------------------------------------------------------------------------------------------
