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💬 Want to read this in ** english** ? Go [ ** here** ] ( README_ENG.md )
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<p align =" center " >
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- <img src ="https://img.shields.io/badge/version-3.9.2 -blueviolet.svg"/>
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+ <img src ="https://img.shields.io/badge/version-3.9.3 -blueviolet.svg"/>
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<img src ="https://img.shields.io/badge/platform-windows|linux|macos-yellow.svg"/>
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<img src ="https://img.shields.io/badge/python-3.10|3.11.|3.12-blue.svg" />
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<img src ="https://img.shields.io/github/actions/workflow/status/vnpy/vnpy/pythonapp.yml?branch=master"/>
@@ -199,7 +199,7 @@ VeighNa是一套基于Python的开源量化交易系统开发框架,在开源
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## 环境准备
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- * 推荐使用VeighNa团队为量化交易专门打造的Python发行版[ VeighNa Studio-3.9.2 ] ( https://download.vnpy.com/veighna_studio-3.9.2 .exe ) ,集成内置了VeighNa框架以及VeighNa Station量化管理平台,无需手动安装
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+ * 推荐使用VeighNa团队为量化交易专门打造的Python发行版[ VeighNa Studio-3.9.3 ] ( https://download.vnpy.com/veighna_studio-3.9.3 .exe ) ,集成内置了VeighNa框架以及VeighNa Station量化管理平台,无需手动安装
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* 支持的系统版本:Windows 11以上 / Windows Server 2019以上 / Ubuntu 22.04 LTS以上
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* 支持的Python版本:Python 3.10以上(64位),** 推荐使用Python 3.10**
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</p >
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<p align =" center " >
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- <img src ="https://img.shields.io/badge/version-3.9.2 -blueviolet.svg"/>
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<img src ="https://img.shields.io/badge/platform-windows|linux|macos-yellow.svg"/>
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<img src ="https://img.shields.io/badge/python-3.10|3.11|3.12-blue.svg" />
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<img src ="https://img.shields.io/github/actions/workflow/status/vnpy/vnpy/pythonapp.yml?branch=master"/>
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