vnpy-algotrading


Namevnpy-algotrading JSON
Version 1.0.4 PyPI version JSON
download
home_pagehttps://www.vnpy.com
SummaryAlgorithm trading application for VeighNa quant trading framework.
upload_time2023-09-04 01:13:04
maintainer
docs_urlNone
authorXiaoyou Chen
requires_python
licenseMIT
keywords quant quantitative investment trading algotrading
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # VeighNa框架的算法交易模块

<p align="center">
  <img src ="https://vnpy.oss-cn-shanghai.aliyuncs.com/vnpy-logo.png"/>
</p>

<p align="center">
    <img src ="https://img.shields.io/badge/version-1.0.4-blueviolet.svg"/>
    <img src ="https://img.shields.io/badge/platform-windows|linux|macos-yellow.svg"/>
    <img src ="https://img.shields.io/badge/python-3.8|3.9|3.10-blue.svg" />
    <img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>

## 说明

AlgoTrading是用于算法交易执行的功能模块,提供多种常用的智能交易算法:TWAP、Sniper、Iceberg、BestLimit等,支持通过UI界面、CSV批量导入、外部模块访问等多种调用方式。

## 安装

安装环境推荐基于3.7.0版本以上的【[**VeighNa Studio**](https://www.vnpy.com)】。

直接使用pip命令:

```
pip install vnpy_algotrading
```


或者下载源代码后,解压后在cmd中运行:

```
pip install .
```

            

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    "description": "# VeighNa\u6846\u67b6\u7684\u7b97\u6cd5\u4ea4\u6613\u6a21\u5757\r\n\r\n<p align=\"center\">\r\n  <img src =\"https://vnpy.oss-cn-shanghai.aliyuncs.com/vnpy-logo.png\"/>\r\n</p>\r\n\r\n<p align=\"center\">\r\n    <img src =\"https://img.shields.io/badge/version-1.0.4-blueviolet.svg\"/>\r\n    <img src =\"https://img.shields.io/badge/platform-windows|linux|macos-yellow.svg\"/>\r\n    <img src =\"https://img.shields.io/badge/python-3.8|3.9|3.10-blue.svg\" />\r\n    <img src =\"https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange\"/>\r\n</p>\r\n\r\n## \u8bf4\u660e\r\n\r\nAlgoTrading\u662f\u7528\u4e8e\u7b97\u6cd5\u4ea4\u6613\u6267\u884c\u7684\u529f\u80fd\u6a21\u5757\uff0c\u63d0\u4f9b\u591a\u79cd\u5e38\u7528\u7684\u667a\u80fd\u4ea4\u6613\u7b97\u6cd5\uff1aTWAP\u3001Sniper\u3001Iceberg\u3001BestLimit\u7b49\uff0c\u652f\u6301\u901a\u8fc7UI\u754c\u9762\u3001CSV\u6279\u91cf\u5bfc\u5165\u3001\u5916\u90e8\u6a21\u5757\u8bbf\u95ee\u7b49\u591a\u79cd\u8c03\u7528\u65b9\u5f0f\u3002\r\n\r\n## \u5b89\u88c5\r\n\r\n\u5b89\u88c5\u73af\u5883\u63a8\u8350\u57fa\u4e8e3.7.0\u7248\u672c\u4ee5\u4e0a\u7684\u3010[**VeighNa Studio**](https://www.vnpy.com)\u3011\u3002\r\n\r\n\u76f4\u63a5\u4f7f\u7528pip\u547d\u4ee4\uff1a\r\n\r\n```\r\npip install vnpy_algotrading\r\n```\r\n\r\n\r\n\u6216\u8005\u4e0b\u8f7d\u6e90\u4ee3\u7801\u540e\uff0c\u89e3\u538b\u540e\u5728cmd\u4e2d\u8fd0\u884c\uff1a\r\n\r\n```\r\npip install .\r\n```\r\n",
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