vnpy-spreadtrading


Namevnpy-spreadtrading JSON
Version 1.2.5 PyPI version JSON
download
home_pagehttps://www.vnpy.com
SummarySpread trading application for VeighNa quant trading framework.
upload_time2024-10-10 05:22:18
maintainerNone
docs_urlNone
authorXiaoyou Chen
requires_python>=3.10
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框架的价差交易模块

<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-1.2.5-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-blue.svg" />
    <img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>

## 说明

针对多条合约腿价差交易设计的应用模块,覆盖价差盘口计算、价差算法执行、价差策略开发的全流程业务功能。

## 注意

不支持使用交易所套利单组成的价差交易合约。

## 安装

安装环境推荐基于3.9.0版本以上的【[**VeighNa Studio**](https://www.vnpy.com)】。

直接使用pip命令:

```
pip install vnpy_spreadtrading
```


或者下载源代码后,解压后在cmd中运行:

```
pip install .
```

            

Raw data

            {
    "_id": null,
    "home_page": "https://www.vnpy.com",
    "name": "vnpy-spreadtrading",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.10",
    "maintainer_email": null,
    "keywords": "quant, quantitative, investment, trading, algotrading",
    "author": "Xiaoyou Chen",
    "author_email": "xiaoyou.chen@mail.vnpy.com",
    "download_url": "https://files.pythonhosted.org/packages/36/ba/91bfb8806e0544db800963c2d32b97a458b6313e80b4bfa85cc8ea4b35b0/vnpy_spreadtrading-1.2.5.tar.gz",
    "platform": null,
    "description": "# VeighNa\u6846\u67b6\u7684\u4ef7\u5dee\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-1.2.5-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-3.10|3.11|3.12-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\n\u9488\u5bf9\u591a\u6761\u5408\u7ea6\u817f\u4ef7\u5dee\u4ea4\u6613\u8bbe\u8ba1\u7684\u5e94\u7528\u6a21\u5757\uff0c\u8986\u76d6\u4ef7\u5dee\u76d8\u53e3\u8ba1\u7b97\u3001\u4ef7\u5dee\u7b97\u6cd5\u6267\u884c\u3001\u4ef7\u5dee\u7b56\u7565\u5f00\u53d1\u7684\u5168\u6d41\u7a0b\u4e1a\u52a1\u529f\u80fd\u3002\r\n\r\n## \u6ce8\u610f\r\n\r\n\u4e0d\u652f\u6301\u4f7f\u7528\u4ea4\u6613\u6240\u5957\u5229\u5355\u7ec4\u6210\u7684\u4ef7\u5dee\u4ea4\u6613\u5408\u7ea6\u3002\r\n\r\n## \u5b89\u88c5\r\n\r\n\u5b89\u88c5\u73af\u5883\u63a8\u8350\u57fa\u4e8e3.9.0\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_spreadtrading\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",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Spread trading application for VeighNa quant trading framework.",
    "version": "1.2.5",
    "project_urls": {
        "Homepage": "https://www.vnpy.com"
    },
    "split_keywords": [
        "quant",
        " quantitative",
        " investment",
        " trading",
        " algotrading"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "f036d88e694d1c480d341a86547e3dc903888b8b0721a5ca183f95b023bef63f",
                "md5": "e5df395bbc25f7d8110c30b3c30df13f",
                "sha256": "8b1297d9f8fca0ba2736e1b1487290a32f47344b8b85addf97fa76d9e5bc79d5"
            },
            "downloads": -1,
            "filename": "vnpy_spreadtrading-1.2.5-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "e5df395bbc25f7d8110c30b3c30df13f",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.10",
            "size": 40411,
            "upload_time": "2024-10-10T05:22:16",
            "upload_time_iso_8601": "2024-10-10T05:22:16.858249Z",
            "url": "https://files.pythonhosted.org/packages/f0/36/d88e694d1c480d341a86547e3dc903888b8b0721a5ca183f95b023bef63f/vnpy_spreadtrading-1.2.5-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "36ba91bfb8806e0544db800963c2d32b97a458b6313e80b4bfa85cc8ea4b35b0",
                "md5": "1500bbf111213939de74207c49e3fbab",
                "sha256": "1953c02fefefe5ce0782745a51555f4e3d40420282ceee3155cf51556bb59ee0"
            },
            "downloads": -1,
            "filename": "vnpy_spreadtrading-1.2.5.tar.gz",
            "has_sig": false,
            "md5_digest": "1500bbf111213939de74207c49e3fbab",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.10",
            "size": 37115,
            "upload_time": "2024-10-10T05:22:18",
            "upload_time_iso_8601": "2024-10-10T05:22:18.890218Z",
            "url": "https://files.pythonhosted.org/packages/36/ba/91bfb8806e0544db800963c2d32b97a458b6313e80b4bfa85cc8ea4b35b0/vnpy_spreadtrading-1.2.5.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-10-10 05:22:18",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "vnpy-spreadtrading"
}
        
Elapsed time: 0.51566s