
zillionare
量化资源和教程请访问 ke.quantide.cn 和公众号🫶Quantide
Stars: 220

This repository contains a collection of articles and tutorials on quantitative finance, including topics such as machine learning, statistical arbitrage, and risk management. The articles are written in a clear and concise style, and they are suitable for both beginners and experienced practitioners. The repository also includes a number of Jupyter notebooks that demonstrate how to use Python for quantitative finance.
README:
I'm a software developer, quantitative trader and entrepreneur。 Teaching machine learning, trading and software development. Author of 'Best Practices for Python'.
我是一名软件工程师、量化交易人和创业者。《Python高效编程最佳实践指南》的作者。我也是一系列开源软件的开发者或者维护者。
[!tip] 我们教授《匡醍.量化24课》、《匡醍.因子分析与机器学习策略》和《匡醍.量化人的Numpy和Pandas》等系列课程,帮助你从入门到精通,完全掌握量化交易。课程都配有视频、在线运行的Notebook、习题和答疑。请前往公众号 Quantide 咨询
内容摘要:
涨时重势,跌时重质。本文实战演示如何结合Parquet高性能缓存机制来获取并存储股息率数据,并且运用 moonshot 回测证明了股息率因子的有效性。
发表于 2025-08-28 人气 934 点击阅读
内容摘要:
本篇聚焦月线策略回测的『数据难题』,揭秘如何通过 tushare 高效获取、复权行情数据并实现本地缓存,彻底解决Alphalens在月线回测上的短板。跟随实战案例,掌握复权原理与缓存技巧,为复杂研报复现打下坚实基础。
发表于 2025-08-15 人气 198 点击阅读
更多精彩好文,请访问匡醍量化
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