vn.py
vn.py is a tool shared on X. It is ranked #4268 on the Dev Radar, in Other, first seen 34 days ago and shared in 3 posts (9.4k views).
What people said about vn.py on X
想入门系统化交易，别急着到处找资料，先收藏一份分类清单。 Awesome Systematic Trading 把量化交易相关资源集中到一个仓库，涵盖回测与实盘框架、策略论文、书籍、课程、访谈和技术博客，方便按需查找。 常见工具如 Backtrader、Zipline、http://vn.py 都能找到。不过，部分框架已经停止维护，使用前最好确认项目现状和兼容性。 仓库还收录了部分论文策略的历史复现结果，但回测表现不代表未来收益，更不能直接当作实盘依据。 适合刚接触量化交易、想系统整理学习路线的人。 🔗…
— @bkdgiffug, 4 days ago · 60 likes · see the post
系统化交易入门，先收藏这份资源清单。 Awesome Systematic Trading 把量化交易相关资料集中整理，按类别检索更方便： 📊 回测与实盘框架 📚 论文策略、书籍和课程 🎙️ 访谈、技术博客与研究资料 Backtrader、Zipline、http://vn.py 等项目都能找到。注意，Backtrader 和 Zipline 已被标注为停更，使用前记得核对维护状态。 仓库中的策略复现数据也只是历史样本结果，不代表未来收益。 🔗 https://github.com/paperswithbacktest/awesome-systematic-trading
— @bkdgiffug, 7 days ago · 9 likes · see the post
想用 Python 搭建量化交易系统？开源项目 VeighNa（http://vn.py） 值得关注。 它覆盖从策略研究到实盘交易的多个环节，适合量化开发者按需扩展。 ① 基于 Python，便于编写和测试交易策略 ② 支持 CTP、Interactive Brokers（IB）等交易接口 ③ 提供行情接入、策略运行及交易管理等组件 ④ 4.0 版本加入 AI 量化相关模块 vnpy.alpha 它的优势在于模块化架构，能根据自己的交易流程组合工具。不过，接口可用性取决于券商、账户和环境配置，AI 模块也不代表策略必然盈利。 🔗 https://github.com/vnpy/vnpy
— @bkdgiffug, 19 days ago · 0 likes · see the post
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vn.py in numbers
- Rank on the Dev Radar: #4268 of 8798
- Shared in 3 posts by 1 account: @bkdgiffug
- 9.4k views on those posts
- First seen 34 days ago, last shared 4 days ago
- Pricing seen by AGK Intelligence: open source
- Market: Other
FAQ
What is vn.py?
It was first shared on X 34 days ago and is ranked #4268 on the Dev Radar.
Is vn.py free?
It is open source.
Who shared vn.py?
1 account on X, including @bkdgiffug, in 3 posts totalling 9.4k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 31.2k posts from 5k X accounts over the last 21 days, 8.8k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-10-30 20:22 UTC. Full method.