VeighNa框架的国泰君安统一交易网关接口
说明
基于国泰君安证券的统一接入网关API接口封装开发。
安装
安装环境推荐基于3.4.0版本以上的【VeighNa Studio】。
直接使用pip命令:
pip install vnpy_hft
或者下载源代码后,解压后在cmd中运行:
pip install .
使用
以脚本方式启动(script/run.py):
from vnpy.event import EventEngine
from vnpy.trader.engine import MainEngine
from vnpy.trader.ui import MainWindow, create_qapp
from vnpy_hft import HftGateway
def main():
"""主入口函数"""
qapp = create_qapp()
event_engine = EventEngine()
main_engine = MainEngine(event_engine)
main_engine.add_gateway(HftGateway)
main_window = MainWindow(main_engine, event_engine)
main_window.showMaximized()
qapp.exec()
if __name__ == "__main__":
main()
Release files for vnpy-hft 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vnpy_hft-1.0.3.tar.gz | 3.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vnpy_hft-1.0.3-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details |
Total release size: 8.6 MB
Release files / vnpy_hft-1.0.3.tar.gz
| Download URL | vnpy_hft-1.0.3.tar.gz |
|---|---|
| Size | 3.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0df2318dfdd078e06be90c13f458e3236cb275546c0f662d8e7508e71a89272a
|
|
BLAKE2b-256 checksum How to use checksums |
92d729acb56d4a935089d80a5f5329f2340a4b1a75a04ba19974ac7ad2170148
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.8
|
Release files / vnpy_hft-1.0.3-cp310-cp310-win_amd64.whl
| Download URL | vnpy_hft-1.0.3-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 4.7 MB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
1124f0ec48966ecd1ef8ccfaa36c68a827b5f026a7b3b7045eede35cf5a40ef4
|
|
BLAKE2b-256 checksum How to use checksums |
2f97957e0a1cf9c9094df4ff6c9dbfc9d1d229c5ab800b2f381aa6abdb4f625d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.8
|