Xtquant datafeed/pub interface.
Project description
VeighNa框架的迅投数据服务接口
说明
基于迅投XtQuant封装开发的实时行情和数据服务接口,支持以下中国金融市场的K线和Tick数据:
- 股票、基金、债券、ETF期权:
- SSE:上海证券交易所
- SZSE:深圳证券交易所
- 期货、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
安装
安装环境推荐基于4.0.0版本以上的【VeighNa Studio】。
直接使用pip命令:
pip install vnpy_xtdata
或者下载解压后在cmd中运行:
pip install .
使用
Token连接
- 连接前请先确保xtquant模块可以正常加载(在投研知识库下载xtquant的安装包,解压后放置xtquant包到自己使用的Python环境的site_packages文件夹下)。
- 登录迅投研服务平台,在【用户中心】-【个人设置】-【接口TOKEN】处获取Token。
- 在VeighNa Trader的【全局配置】处进行数据服务配置:
- datafeed.name:xt
- datafeed.username:token
- datafeed.password:填复制的Token
客户端连接
- 连接请先登录迅投极速交易终端,同时确保xtquant模块可以正常加载(点击【下载Python库】-【Python库下载】,下载完成后拷贝“Python库路径”下Lib\site-packages文件夹中的xtquant包到自己使用的Python环境的site_packages文件夹下)。
- 在Veighna Trader的【全局配置】处进行数据服务配置:
- datafeed.name:xt
- datafeed.username:client
- datafeed.password:留空
- 请注意以客户端方式连接时,需要保持迅投客户端的运行。
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
vnpy_xtdata-2.0.4.tar.gz
(15.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file vnpy_xtdata-2.0.4.tar.gz.
File metadata
- Download URL: vnpy_xtdata-2.0.4.tar.gz
- Upload date:
- Size: 15.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6fc907bf84fd5ff62df926f398d020c57275f347204d2e9b80bfaa8a0a8adbe7
|
|
| MD5 |
0907f28488cd68c3c15f746f234fc080
|
|
| BLAKE2b-256 |
8a78168a98858ef307809e5a141ee834eef56eac6c52dc9bc93a6dc4d1b2903d
|
File details
Details for the file vnpy_xtdata-2.0.4-py3-none-any.whl.
File metadata
- Download URL: vnpy_xtdata-2.0.4-py3-none-any.whl
- Upload date:
- Size: 14.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b3976a8ada3e80ffbf769ee994c56d01cf2ec53de9f598ddc94d2c35d9bf2934
|
|
| MD5 |
d33d02cef4800b7607eb5f5446e9be91
|
|
| BLAKE2b-256 |
dbd266a422114a19a5e3ffd8211b118cc81a984082326398b5965161560c4147
|