Here are 22 public repositories matching this topic...
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Updated Dec 1, 2025 Python A股自动选股程序,实现了海龟交易法则、缠中说禅牛市买点,以及其他若干种技术形态
Updated Aug 14, 2024 Python AKTools is an elegant and simple HTTP API library for AKShare, built for AKSharers!
Updated Oct 29, 2025 Python 量化资源和教程请访问 ke.quantide.cn 和公众号🫶Quantide
Updated Dec 1, 2025 Jupyter Notebook 📈 提供股票、加密货币的数据查询和分析功能MCP服务器
Updated Nov 17, 2025 Python Stock Backtrader Web App 是一个基于 Python 的项目,旨在简化股票回测和分析的过程。通过集成四个强大的库——Streamlit、AkShare、Backtrader 和 Pyecharts,本应用为用户提供了一个综合性的工具集,支持股票数据获取、回测模拟和结果可视化,且所有功能都在一个直观的 Web 界面内完成。
Updated Apr 25, 2025 Python cnvar.cn及个人微信公众号【QuantInvest】里面提及的编程代码, 对股票各种研究和折腾分析A股市场的各种现象和投资机会,涉及编程、股票模型、分析研究、杂谈等,代码是python,以jupyter notebook展示。
Updated Dec 21, 2024 Jupyter Notebook AKQuant is a project about Quantitative Investment
Updated Apr 15, 2024 Python MCP server that provides access to Chinese stock market data using akshare-one
Updated Dec 1, 2025 Python 专业的金融市场数据 MCP 服务器 - 支持A股/美股/加密货币,原生 MCP 协议,AI Agent 友好
Updated Dec 1, 2025 Python K线数据获取-量化回测-数据分析-策略选股(A股、港股、美股)
Updated Nov 23, 2025 Python Updated Jul 10, 2020 Python akshare-gpt 是一个开源工具,旨在将 Akshare 集成到 GPT 的工具中,实现自然语言问答。
Updated Sep 4, 2024 Python Updated Jun 5, 2025 Python 基于 Youtu-Agent 框架构建的Nexus财务智能体,专为A股市场设计。
Updated Nov 20, 2025 Python Quantitative analysis of the Chinese stock market, strategy-based stock selection return analysis
Updated Feb 27, 2025 Python 基于Akshare金融数据API的MCP服务器,提供港股、美股、A股历史行情数据的工具接口。(还没开发完,目前就是这三个工具,主要是akshare的数据接口太不友好了,很多接口非常不适合开发成MCP)
Updated Jul 17, 2025 Python A Python-based stock analysis tool that detects KDJ and MACD golden cross patterns, and dividend information, filtering stocks with cutomized conditions. Eventually export Excel reports and png pictures.
Updated Jul 30, 2025 Jupyter Notebook AKRacer is a third-party extension library for py_mini_racer
Updated Sep 10, 2025 Python (WIP) Port of akshare to Rust for performance and portability
Updated Aug 23, 2025 Jupyter Notebook Improve this page Add a description, image, and links to the akshare topic page so that developers can more easily learn about it.
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