# VeighNa框架的万得Wind数据服务接口
<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-1.0.5-blueviolet.svg"/>
<img src ="https://img.shields.io/badge/platform-windows-yellow.svg"/>
<img src ="https://img.shields.io/badge/python-3.8|3.9|3.10|3.11|3.12-blue.svg" />
<img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>
## 说明
基于万得WindPy接口开发，支持以下中国金融市场的K线数据：
* 期货：
* CFFEX：中国金融期货交易所
* SHFE：上海期货交易所
* DCE：大连商品交易所
* CZCE：郑州商品交易所
* INE：国际能源交易中心
* GFEX：广州期货交易所
* 股票：
* SSE：上海证券交易所
* SZSE：深圳证券交易所
注意：需要购买[Wind金融终端](https://www.wind.com.cn)，并安装好Python版本数据接口（WindPy）。
## 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_wind
```
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-wind",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "quant,quantitative,investment,trading,algotrading",
"author": "Xiaoyou Chen",
"author_email": "xiaoyou.chen@mail.vnpy.com",
"download_url": "https://files.pythonhosted.org/packages/db/7e/806a3f41b96036e011c73330d45fe868775564ce806752c1d5c181a6d09d/vnpy_wind-1.0.5.tar.gz",
"platform": null,
"description": "# VeighNa\u6846\u67b6\u7684\u4e07\u5f97Wind\u6570\u636e\u670d\u52a1\u63a5\u53e3\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-1.0.5-blueviolet.svg\"/>\r\n <img src =\"https://img.shields.io/badge/platform-windows-yellow.svg\"/>\r\n <img src =\"https://img.shields.io/badge/python-3.8|3.9|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\u57fa\u4e8e\u4e07\u5f97WindPy\u63a5\u53e3\u5f00\u53d1\uff0c\u652f\u6301\u4ee5\u4e0b\u4e2d\u56fd\u91d1\u878d\u5e02\u573a\u7684K\u7ebf\u6570\u636e\uff1a\r\n\r\n* \u671f\u8d27\uff1a\r\n * CFFEX\uff1a\u4e2d\u56fd\u91d1\u878d\u671f\u8d27\u4ea4\u6613\u6240\r\n * SHFE\uff1a\u4e0a\u6d77\u671f\u8d27\u4ea4\u6613\u6240\r\n * DCE\uff1a\u5927\u8fde\u5546\u54c1\u4ea4\u6613\u6240\r\n * CZCE\uff1a\u90d1\u5dde\u5546\u54c1\u4ea4\u6613\u6240\r\n * INE\uff1a\u56fd\u9645\u80fd\u6e90\u4ea4\u6613\u4e2d\u5fc3\r\n * GFEX\uff1a\u5e7f\u5dde\u671f\u8d27\u4ea4\u6613\u6240\r\n* \u80a1\u7968\uff1a\r\n * SSE\uff1a\u4e0a\u6d77\u8bc1\u5238\u4ea4\u6613\u6240\r\n * SZSE\uff1a\u6df1\u5733\u8bc1\u5238\u4ea4\u6613\u6240\r\n\r\n\u6ce8\u610f\uff1a\u9700\u8981\u8d2d\u4e70[Wind\u91d1\u878d\u7ec8\u7aef](https://www.wind.com.cn)\uff0c\u5e76\u5b89\u88c5\u597dPython\u7248\u672c\u6570\u636e\u63a5\u53e3\uff08WindPy\uff09\u3002\r\n\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_wind\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": "Wind datafeed for VeighNa quant trading framework.",
"version": "1.0.5",
"project_urls": {
"Homepage": "https://www.vnpy.com"
},
"split_keywords": [
"quant",
"quantitative",
"investment",
"trading",
"algotrading"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "689480da329952ab328ee2c02bccaded65d85e6522e76ad190d19ec47f38bf64",
"md5": "1a976af7f042b58d4f3484a1b1c80801",
"sha256": "c5ccf5aa40f80a261210136171790d564db1d2a940ca3e41ea58484277863824"
},
"downloads": -1,
"filename": "vnpy_wind-1.0.5-py3-none-any.whl",
"has_sig": false,
"md5_digest": "1a976af7f042b58d4f3484a1b1c80801",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 6869,
"upload_time": "2023-12-08T08:03:02",
"upload_time_iso_8601": "2023-12-08T08:03:02.986756Z",
"url": "https://files.pythonhosted.org/packages/68/94/80da329952ab328ee2c02bccaded65d85e6522e76ad190d19ec47f38bf64/vnpy_wind-1.0.5-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "db7e806a3f41b96036e011c73330d45fe868775564ce806752c1d5c181a6d09d",
"md5": "3c5597e94b07b52331f426c4fe2e0525",
"sha256": "258ae5ecd5a5bb13949516abf583e70f3d96cb4514cedc47ddb817c7c27af537"
},
"downloads": -1,
"filename": "vnpy_wind-1.0.5.tar.gz",
"has_sig": false,
"md5_digest": "3c5597e94b07b52331f426c4fe2e0525",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 5573,
"upload_time": "2023-12-08T08:03:04",
"upload_time_iso_8601": "2023-12-08T08:03:04.713675Z",
"url": "https://files.pythonhosted.org/packages/db/7e/806a3f41b96036e011c73330d45fe868775564ce806752c1d5c181a6d09d/vnpy_wind-1.0.5.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-12-08 08:03:04",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "vnpy-wind"
}
JSON