| Name | byquant JSON |
| Version |
3.12.76.0
JSON |
| download |
| home_page | None |
| Summary | byquant库由ByQuant.com 提供支持，可以回测及策略交易。ByQuant.com官网提供系列策略课程《量化策略百战案例》；ByQuant智能策略决策系统提供通过客户端方式调用该库功能！ |
| upload_time | 2025-11-02 11:45:31 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | GPL |
| keywords |
quant
strategy
algorithmic
algotrading
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
ByQuant.com
安装:
pip install byquant==*
Windows:
ByQuant 3.12.x.0 仅支持 Python 3.12.n
对于其他系统或Python版本的库请联系获取！
专业版本功能支持请访问: https://byquant.com/
Raw data
{
"_id": null,
"home_page": null,
"name": "byquant",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "quant, strategy, algorithmic, algotrading",
"author": null,
"author_email": "ByQuant <info@byquant.com>",
"download_url": "https://files.pythonhosted.org/packages/a3/51/20cc4a5716d29ea219b6aaa3d4a934dbf447858507a063dc71855369a1f1/byquant-3.12.76.0.tar.gz",
"platform": null,
"description": "ByQuant.com\r\n\r\n\u5b89\u88c5:\r\npip install byquant==*\r\n\r\nWindows:\r\nByQuant 3.12.x.0 \u4ec5\u652f\u6301 Python 3.12.n\r\n\r\n\u5bf9\u4e8e\u5176\u4ed6\u7cfb\u7edf\u6216Python\u7248\u672c\u7684\u5e93\u8bf7\u8054\u7cfb\u83b7\u53d6\uff01\r\n\r\n\u4e13\u4e1a\u7248\u672c\u529f\u80fd\u652f\u6301\u8bf7\u8bbf\u95ee: https://byquant.com/\r\n",
"bugtrack_url": null,
"license": "GPL",
"summary": "byquant\u5e93\u7531ByQuant.com \u63d0\u4f9b\u652f\u6301\uff0c\u53ef\u4ee5\u56de\u6d4b\u53ca\u7b56\u7565\u4ea4\u6613\u3002ByQuant.com\u5b98\u7f51\u63d0\u4f9b\u7cfb\u5217\u7b56\u7565\u8bfe\u7a0b\u300a\u91cf\u5316\u7b56\u7565\u767e\u6218\u6848\u4f8b\u300b\uff1bByQuant\u667a\u80fd\u7b56\u7565\u51b3\u7b56\u7cfb\u7edf\u63d0\u4f9b\u901a\u8fc7\u5ba2\u6237\u7aef\u65b9\u5f0f\u8c03\u7528\u8be5\u5e93\u529f\u80fd\uff01",
"version": "3.12.76.0",
"project_urls": {
"Homepage": "https://byquant.com"
},
"split_keywords": [
"quant",
" strategy",
" algorithmic",
" algotrading"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "8380625c3eaa71f2c65e0a306ea7f26c51db39bea2ae89c9d92290c5d0e2a3f4",
"md5": "2e52524177740df5a00acb0a3947a156",
"sha256": "b8fe109f44520bf0d94693535ddc821598bd0f74a411bf63fa12d28f179b25f6"
},
"downloads": -1,
"filename": "byquant-3.12.76.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "2e52524177740df5a00acb0a3947a156",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 5337117,
"upload_time": "2025-11-02T11:45:25",
"upload_time_iso_8601": "2025-11-02T11:45:25.348798Z",
"url": "https://files.pythonhosted.org/packages/83/80/625c3eaa71f2c65e0a306ea7f26c51db39bea2ae89c9d92290c5d0e2a3f4/byquant-3.12.76.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "a35120cc4a5716d29ea219b6aaa3d4a934dbf447858507a063dc71855369a1f1",
"md5": "9e71033d7e677a5cfe36ec11520d33f8",
"sha256": "7097fa3fe79f8f350f4cdaedc4439ea829d3eab4b339df19d4a8395a2cd53d21"
},
"downloads": -1,
"filename": "byquant-3.12.76.0.tar.gz",
"has_sig": false,
"md5_digest": "9e71033d7e677a5cfe36ec11520d33f8",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 4638188,
"upload_time": "2025-11-02T11:45:31",
"upload_time_iso_8601": "2025-11-02T11:45:31.553145Z",
"url": "https://files.pythonhosted.org/packages/a3/51/20cc4a5716d29ea219b6aaa3d4a934dbf447858507a063dc71855369a1f1/byquant-3.12.76.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-11-02 11:45:31",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "byquant"
}
