{"repo":"namoshizun/TradePy","free":true,"listed":false,"github":"https://github.com/namoshizun/TradePy","clone":"git clone https://github.com/namoshizun/TradePy.git","description":"Backtesting & Tradebot by the programmer, for the programmer. 一款温柔地对待程序员的量化框架 🤟","language":"Python","stars":51,"topics":["algotrading","fintech","quantitative-trading","trading"],"license":"MIT","category":"trading","readme_excerpt":"TradePy TradePy是一个面向证券交易的量化策略开发 + 实盘交易框架，实现了数据下载、策略回测、寻参优化以及实盘交易等量化交易全链路功能。🚧 当前正在施工 V2 版本 🚧，V1版请见 legacy/v1 分支。新版本自底向上整体重写，在保留原功能的基础上: - 🚀 全面替换Pandas为Polars, 大幅提升性能与优化内存占用 - 🚀 实现Polars友好的指标计算，预转译开平仓逻辑，核心链路高度向量化 - 相较V1性能提升60-100倍 - 4秒完成1000万根日K回测，包含指标计算、行情回放、策略执行、统计评估 - 📈 使用Tushare获取市场数据。近年来由于东财升级了反爬措施，已不适合使用Akshare作为主要获取手段 - 🛠️ 使用更现代化的开发工具链 - 💪 优化整体架构, 优化API设计, 全面加强类型安全 - 🤗 实现看板前端UI 🧑‍💻 古法编程为主, AI介入为辅, 不整虚的 待办事项 : - [x] 数据采集: 日K, 估值, 复权因子, 行业分类, 股票列表 - [x] 策略开发 - [x] 回测框架 - [ ] 策略评估 - [ ] 更新文档 - [ ] 实盘交易 在线文档 (v1) : https://tradepy.lu-d.com","default_branch":null,"files":null,"tree":[],"storefront":"/r/namoshizun","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/namoshizun/TradePy/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}