Metadata-Version: 2.1
Name: akshare
Version: 0.2.41
Summary: A tool for downloading financial data!
Home-page: https://github.com/jindaxiang/akshare
Author: Albert King
Author-email: jindaxiang@163.com
License: MIT
Description: <h1 align=center>
        <img src="https://jfds-1252952517.cos.ap-chengdu.myqcloud.com/akshare/icon/images.jpg" width='120px' height='120px'>
        </h1>
        
        [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/akshare.svg)](https://pypi.org/project/akshare/) 
        [![PyPI](https://img.shields.io/pypi/v/akshare.svg)](https://pypi.org/project/akshare/) 
        [![Downloads](https://pepy.tech/badge/akshare/month)](https://pepy.tech/project/akshare/month)
        
        # ![](https://jfds-1252952517.cos.ap-chengdu.myqcloud.com/akshare/readme/home/akshare_home.png)
        
        ## Overview
        
        AkShare is an , written with `Python-3.7.3`, aims to make fetch financial data as convenient as possible.
        
        **Write less, get more**:
        
        -   Documentation: [中文文档](https://akshare.readthedocs.io/zh_CN/latest/)
        
        ## Features
        
        -   **Easy**: Powered by Python
        -   **Fast**: Powered by Python
        -   **Extensible**: Powered by Python
        -   **Powerful**: Python support
        
        ## Installation
        
        ``` shell
        # For Linux & Mac
        pip install akshare --upgrade
        
        # For Windows
        pip install akshare --upgrade
        
        # New features
        pip install akshare --upgrade
        ```
        
        ## Tutorials
        
        1.  [Overview](https://akshare.readthedocs.io/zh_CN/latest/akshare/ak-introduction.html)
        2.  [Installation](https://akshare.readthedocs.io/zh_CN/latest/akshare/ak-installation.html)
        3.  [Tutorial](https://akshare.readthedocs.io/zh_CN/latest/akshare/ak-tutorial.html)
        4.  [Data Dict](https://akshare.readthedocs.io/zh_CN/latest/README.html)
        5.  [Subjects](https://akshare.readthedocs.io/zh_CN/latest/subjects/index.html)
        
        ## TODO
        
        -   Uniform interface;
        -   Support more data;
        
        ## 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 [AutoPep8](https://github.com/hhatto/autopep8) to format the code
        
        ## Thanks
        
        特别感谢 [FuShare](https://github.com/jindaxiang/fushare), [TuShare](https://github.com/waditu/tushare) 项目提供借鉴学习的机会;
        
        感谢[生意社网站](http://www.100ppi.com/)提供的商品基差及相关数据;
        
        感谢[奇货可查网站](https://qhkch.com/)提供的奇货指数及相关数据;
        
        感谢[智道智科网站](https://www.ziasset.com/)提供的私募指数数据;
        
        感谢[中国银行间市场交易商协会网站](http://www.nafmii.org.cn/)提供的银行间市场债券基本面数据;
        
        感谢[99期货网站](http://www.99qh.com/)提供的大宗商品库存数据;
        
        感谢[英为财情网站](https://cn.investing.com/)提供的全球股指与期货指数数据, 全球政府债券行情与收益率数据;
        
        感谢[中国外汇交易中心暨全国银行间同业拆借中心网站](http://www.chinamoney.com.cn/chinese/)提供的外汇和债券相关数据;
        
        感谢[金十数据网站](https://www.jin10.com/)提供的全球宏观数据数据;
        
        感谢[交易法门网站](https://www.jiaoyifamen.com/)提供的期货-仓单有效期数据;
        
        感谢[和讯财经网站](http://www.hexun.com/)提供的相关数据;
        
        感谢[新浪财经网站](https://finance.sina.com.cn/)提供的相关数据;
        
        感谢[Oxford-Man Institute of Quantitative Finance Realized Library 网站](https://realized.oxford-man.ox.ac.uk/)提供的相关数据;
        
        感谢[DACHENG XIU网站](https://dachxiu.chicagobooth.edu/)提供的相关数据;
        
        感谢[上海证券交易所](http://www.sse.com.cn/assortment/options/price/)提供的相关数据;
        
        感谢[中国金融期货交易所网站](http://www.cffex.com.cn/)提供的相关数据;
        
        感谢[上海期货交易所网站](http://www.shfe.com.cn/)提供的相关数据;
        
        感谢[大连商品交易所网站](http://www.dce.com.cn/)提供的相关数据;
        
        感谢[郑州商品交易所网站](http://www.czce.com.cn/)提供的相关数据;
        
        感谢[上海国际能源交易中心网站](http://www.ine.com.cn/)提供的相关数据.
        
        感谢[Python大咖谈公众号](https://upload-images.jianshu.io/upload_images/3240514-61004f2c71be4a0b.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)提供的Pandas教程
        
        
        ## 交流
        
        欢迎加 QQ 群交流: 326900231
        
        您可以扫码或者点击群二维码申请加入, 请放心点击:
        
        <a target="_blank" href="https://shang.qq.com/wpa/qunwpa?idkey=aacb87089dd5ecb8c6620ce391de15b92310cfb65e3b37f37eb465769e3fc1a3"><img border="0" src="https://jfds-1252952517.cos.ap-chengdu.myqcloud.com/akshare/qq/akshare_md_fold_1569925684166.png" alt="AkShare官方" title="AkShare官方"></a>
        
        
        ## 声明
        
        1. [AkShare](https://github.com/jindaxiang/akshare) 提供的数据仅供参考, 不构成任何投资建议;
        2. 任何基于 [AkShare](https://github.com/jindaxiang/akshare) 进行研究的投资者请注意数据风险;
        3. [AkShare](https://github.com/jindaxiang/akshare) 坚持提供开源金融数据, 请放心使用;
        4. [AkShare](https://github.com/jindaxiang/akshare) 的使用请遵循相关开源协议;
        
Keywords: stock option futures finance spider quant quantitative investment trading algotrading
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7.3
Description-Content-Type: text/markdown
