Update README from .rst to .md

Author: ClementPerroud

.gitignore

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 __pycache__
+.vscode
 dist
 .ipynbcheckpoints
 render_logs

README.md

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+
+<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">
+   </a>
+   <a href="https://pypi.org/project/gym-trading-env/">
+      <img src="https://img.shields.io/badge/pypi-v1.1.3-brightgreen.svg"
+         alt="PyPI">
+   </a>
+   <a href="https://github.com/ClementPerroud/Gym-Trading-Env/blob/main/LICENSE.txt">
+   <img src="https://img.shields.io/badge/license-MIT%202.0%20Clause-green"
+         alt="Apache 2.0 with Commons Clause">
+   </a>
+   <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' />
+   </a>
+   <a href="https://github.com/ClementPerroud/Gym-Trading-Env">
+      <img src="https://img.shields.io/github/stars/ClementPerroud/gym-trading-env?style=social" alt="Github stars">
+   </a>
+</section>
+  
+Cryto Trading Env is an OpenAI Gym environment for simulating stocks and train Reinforcement Learning (RL) trading agents.
+It was designed to be fast and customizable for easy RL trading algorythms implementation.
+
+
+| [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 king 
+
+.. image:: https://raw.githubusercontent.com/ClementPerroud/Gym-Trading-Env/main/docs/source/images/render.gif
+
+Installation
+---------------
+
+Crypto Trading Env supports Python 3.9+ on Windows, Mac, and Linux. You can install it using pip:
+
+```bash
+pip install gym-trading-env
+```
+
+Or using git :
+
+```bash
+git clone https://github.com/ClementPerroud/Gym-Trading-Env
+```
+
+
+[Documentation available here](https://gym-trading-env.readthedocs.io/en/latest/index.html)
+-----------------------------------------------------------------------------------------------

README.rst

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "gym-trading-env"
-version = "0.1.16"
+version = "0.2.2"
 license = {file = "LICENSE.txt"}
 authors = [
   { name="Clement Perroud", email="clement.perroud.pro@gmail.com" },