akfamily / akshare

**资源分享**：对于想了解更多财经数据与量化投研的小伙伴，推荐一个专注于财经数据和量化研究的知识社区。 该社区提供相关文档和视频学习资源，汇集了各类财经数据源和量化投研工具的使用经验。 有兴趣深入学习的朋友可点此了解更多，也推荐大家关注微信公众号【数据科学实战】。 **重磅推荐**：AKQuant 是一款专为 **量化投研 (Quantitative Research)** 打造的高性能量化回测框架。它以 Rust 铸造极速撮合内核， 以 Python 链接数据与 AI 生态，旨在为量化投资者提供可靠高效的量化投研解决方案。参见AKQuant **工具推荐**：期魔方是一款本地化期货量化分析工具，适合数据分析爱好者使用。无需复杂部署，支持数据分析和机器学习功能，研究功能免费开放。 如需了解更多信息可访问期魔方。 Overview AKShare requires Python(64 bit) 3.9 or higher and aims to simplify the process of fetching financial data. **Write less, get more!** • Documentation: 中文文档 Installation General China PR Please check out Documentation if you want to contribute to AKShare Docker Pull images Run Container Test Usage Data Code: Output: Plot Code: Output: Features • **Easy of use**: Just one line code to fetch the data; • **Extensible**: Easy to customize your own code with other application; • **Powerful**: Python ecosystem. Tutorials • Overview • Installation • Tutorial • Data Dict • Subjects Contribution AKShare is still under developing, feel free to open issues and pull requests: • Report or fix bugs • Require or publish interface • Write or fix documentation • Add test cases > Notice: We use Ruff to format the code Statement • All data provided by AKShare is just for academic research purpose; • The data provided by AKShare is for reference only and does not constitute any investment proposal; • Any investor based on AKShare research should pay more attention to data risk; • AKShare will insist on providing open-source financial data; • Based on some uncontrollable factors, some data interfaces in AKShare may be removed; • Please follow the relevant open-source protocol used by AKShare; • Provide HTTP API for the person who uses other program language: AKTools. Show your style Use the badge in your project's README.md: Using the badge in README.rst: Looks like this: Citation Please use this **bibtex** if you want to cite this repository in your publications: Acknowledgement Special thanks FuShare for the opportunity of learning from the project; Special thanks TuShare for the opportunity of learning from the project; Thanks for the data provided by 东方财富网站; Thanks for the data provided by 新浪财经网站; Thanks for the data provided by 金十数据网站; Thanks for the data provided by 生意社网站; Thanks for the data provided by 中国银行间市场交易商协会网站; Thanks for the data provided by 99期货网站; Thanks for the data provided by 中国外汇交易中心暨全国银行间同业拆借中心网站; Thanks for the data provided by 和讯财经网站; Thanks for the data provided by DACHENG-XIU 网站; Thanks for the data provided by 上海证券交易所网站; Thanks for the data provided by 深证证券交易所网站; Thanks for the data provided by 北京证券交易所网站; Thanks for the data provided by 中国金融期货交易所网站; Thanks for the data provided by 上海期货交易所网站; Thanks for the data provided by 大连商品交易所网站; Thanks for the data provided by 郑州商品交易所网站; Thanks for the data provided by 上海国际能源交易中心网站; Thanks for the data provided by Timeanddate 网站; Thanks for the data provided by 河北省空气质量预报信息发布系统网站; Thanks for the data provided by Economic Policy Uncertainty 网站; Thanks for the data provided by 申万指数网站; Thanks for the data provided by 真气网网站; Thanks for the data provided by 财富网站; Thanks for the data provided by 中国证券投资基金业协会网站; Thanks for the data provided by Expatistan 网站; Thanks for the data provided by 北京市碳排放权电子交易平台网站; Thanks for the data provided by 国家金融与发展实验室网站; Thanks for the data provided by 义乌小商品指数网站; Thanks for the data provided by 百度迁徙网站; Thanks for the data provided by 思知网站; Thanks for the data provided by Currencyscoop 网站; Thanks for the data provided by 新加坡交易所网站;