Metadata-Version: 2.4
Name: vnpy_okx
Version: 2025.10.29
Summary: OKX trading gateway for VeighNa.
Project-URL: Homepage, https://www.github.com/veighna-global
Project-URL: Source, https://www.github.com/veighna-global
Author-email: VeighNa Global <veighna@hotmail.com>
License: MIT
License-File: LICENSE
Keywords: algotrading,btc,crypto,investment,okx,quant,quantitative,trading
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Office/Business :: Financial :: Investment
Requires-Python: >=3.10
Requires-Dist: vnpy-rest
Requires-Dist: vnpy-websocket
Description-Content-Type: text/markdown

# OKX trading gateway for VeighNa Evo

<p align="center">
    <img src ="https://github.com/veighna-global/vnpy_evo/blob/dev/logo.png" width="300" height="300"/>
</p>

<p align="center">
    <img src ="https://img.shields.io/badge/version-2025.10.29-blueviolet.svg"/>
    <img src ="https://img.shields.io/badge/platform-windows|linux|macos-yellow.svg"/>
    <img src ="https://img.shields.io/badge/python-3.10|3.11|3.12|3.13-blue.svg" />
    <img src ="https://img.shields.io/github/license/veighna-global/vnpy_okx.svg?color=orange"/>
</p>

## Introduction

This gateway is developed based on OKX's V5 REST and Websocket API, and supports spot, linear contract and inverse contract trading.

**For derivatives contract trading, please notice:**

1. Only supports one-way position mode.

## Install

Users can easily install ``vnpy_okx`` by pip according to the following command.

```
pip install vnpy_okx
```

Also, users can install ``vnpy_okx`` using the source code. Clone the repository and install as follows:

```
git clone https://github.com/veighna-global/vnpy_okx.git && cd vnpy_okx

python setup.py install
```

## A Simple Example

Save this as run.py.

```
from vnpy.event import EventEngine
from vnpy.trader.engine import MainEngine
from vnpy.trader.ui import MainWindow, create_qapp

from vnpy_okx import OkxGateway


def main() -> None:
    """main entry"""
    qapp = create_qapp()

    event_engine = EventEngine()
    main_engine = MainEngine(event_engine)
    main_engine.add_gateway(OkxGateway)

    main_window = MainWindow(main_engine, event_engine)
    main_window.showMaximized()

    qapp.exec()


if __name__ == "__main__":
    main()

```
