vnpy-rqdata


Namevnpy-rqdata JSON
Version 3.0.2.1 PyPI version JSON
download
home_pagehttps://www.vnpy.com
SummaryRQData datafeed for VeighNa quant trading framework.
upload_time2024-03-22 05:49:39
maintainerNone
docs_urlNone
authorXiaoyou Chen
requires_pythonNone
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RQData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-3.0.2.1-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|3.11|3.12-blue.svg" />
    <img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>

## 说明

基于米筐rqdatac模块的2.10.14版本开发,支持以下中国金融市场的K线和Tick数据:

* 期货和期货期权:
  * 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:上海国际能源交易中心
  * GFEX:广州期货交易所
* 贵金属现货:
  * SGE:上海黄金交易所
* 股票和ETF期权:
  * SSE:上海证券交易所
  * SZSE:深圳证券交易所

注意:需要购买相应的数据服务权限,可以通过[该页面](https://www.ricequant.com/welcome/purchase?utm_source=vnpy)申请试用。


## 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_rqdata
```


或者下载源代码后,解压后在cmd中运行:

```
pip install .
```


## 使用

在VeighNa中使用米筐RQData时,需要在全局配置中填写以下字段信息:

|名称|含义|必填|举例|
|---------|----|---|---|
|datafeed.name|名称|是|rqdata|
|datafeed.username|用户名|是|license|
|datafeed.password|密码|是|(请填写购买或申请试用RQData后,RQData提供的token)|

            

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