semvec/pypi-packages huggingface dataset:
gym-trading 0.0.2
Trading environments for Gymnasium
License: MIT License
Requires Python: >=3.10
Keywords: nbdev jupyter notebook python

# gym-trading


<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

This file will become your README and also the index of your
documentation.

## Developer Guide

If you are new to using `nbdev` here are some useful pointers to get you
started.

### Install gym_trading in Development mode

``` sh
# make sure gym_trading package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to gym_trading
$ nbdev_prepare
```

## Usage

### Installation

Install latest from the GitHub
[repository](https://github.com/neurion-ai/gym-trading):

``` sh
$ pip install git+https://github.com/neurion-ai/gym-trading.git
```

or from [conda](https://anaconda.org/neurion-ai/gym-trading)

``` sh
$ conda install -c neurion-ai gym_trading
```

or from [pypi](https://pypi.org/project/gym-trading/)

``` sh
$ pip install gym_trading
```

### Documentation

Documentation can be found hosted on this GitHub
[repository](https://github.com/neurion-ai/gym-trading)’s
[pages](https://neurion-ai.github.io/gym-trading/). Additionally you can
find package manager specific guidelines on
[conda](https://anaconda.org/neurion-ai/gym-trading) and
[pypi](https://pypi.org/project/gym-trading/) respectively.

## How to use

Fill me in please! Don’t forget code examples:

``` python
1+1
```

    2