OKEX gateway for vn.py quant trading framework.
Project description
vnpy-okex-pro
获取交易产品历史K线数据改为使用OKX接口
GET /api/v5/market/history-candles
安装
安装需要基于2.2.0版本以上的VN Studio。
直接使用pip命令:
pip install vnpy_okex_pro
下载解压后在cmd中运行
python setup.py install
使用
以脚本方式启动(script/run.py):
import vnpy_crypto
vnpy_crypto.init()
from vnpy.event import EventEngine
from vnpy.trader.engine import MainEngine
from vnpy.trader.ui import MainWindow, create_qapp
# 上面固定不动
# ——————————————————————————————————————————————————
# Gateway
from vnpy_okex_pro import OkexGateway
# App
from vnpy_datamanager import DataManagerApp
def main():
"""主入口函数"""
qapp = create_qapp()
event_engine = EventEngine()
main_engine = MainEngine(event_engine)
# ——————————————————————————————————————————————————
# Gateway
main_engine.add_gateway(OkexGateway)
# App
main_engine.add_app(DataManagerApp)
# ——————————————————————————————————————————————————
main_window = MainWindow(main_engine, event_engine)
main_window.showMaximized()
qapp.exec()
if __name__ == "__main__":
main()
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-okex-pro-2023.4.14.4.tar.gz
(12.1 kB
view details)
Built Distribution
File details
Details for the file vnpy-okex-pro-2023.4.14.4.tar.gz
.
File metadata
- Download URL: vnpy-okex-pro-2023.4.14.4.tar.gz
- Upload date:
- Size: 12.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 278bcaefbd6a195340202df3524f1ed5d709ab4e23b5b963853ec1d44f8865b3 |
|
MD5 | aa905765dc88d3a822f1c30e45c534b2 |
|
BLAKE2b-256 | 2359e171829bdf3074e64ea8fde2322ac6ae58b0a0d52c95d4f471c2a572070d |
File details
Details for the file vnpy_okex_pro-2023.4.14.4-py3-none-any.whl
.
File metadata
- Download URL: vnpy_okex_pro-2023.4.14.4-py3-none-any.whl
- Upload date:
- Size: 12.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | de2278abb32726d3d48bd1093fb2d7ce382753cd4be8f5054e64a4abf677219f |
|
MD5 | 77f04614c2324469745cfa209490e9ec |
|
BLAKE2b-256 | 7d750f5498f4e55b9bf51a66f1c3de5c2f38444240d83a24d6c24db78205bd46 |