akshare 0.4.22

A tool for downloading financial data!

Overview

AkShare support Python 3.6+, aims to make fetch financial data as convenient as possible.

Write less, get more!

• Documentation: 中文文档
• Documentation: English Forthcoming

Installation

pip install akshare

Usage

Code

import akshare as ak
hist_df = ak.stock_us_daily(symbol="AMZN")  # Get U.S. stock Amazon's price info
print(hist_df)

Output

               open     high      low    close   volume
date                                                   
1997-05-15    29.25    30.00    23.13    23.50  6013000
1997-05-16    23.63    23.75    20.50    20.75  1225000
1997-05-19    21.13    21.25    19.50    20.50   508900
1997-05-20    20.75    21.00    19.63    19.63   455600
1997-05-21    19.63    19.75    16.50    17.13  1571100
             ...      ...      ...      ...      ...
2020-02-24  2003.18  2039.30  1987.97  2009.29  6546997
2020-02-25  2026.42  2034.60  1958.42  1972.74  6219094
2020-02-26  1970.28  2014.67  1960.45  1979.59  5240402
2020-02-27  1934.38  1975.00  1882.76  1884.30  8143993
2020-02-28  1814.63  1889.76  1811.13  1883.75  9493797
[5731 rows x 5 columns]

Communication

Pay attention to 数据科学实战 WeChat Official Accounts to get the AkShare updated info:

Application to add AkShare-官方 QQ group and talk about AkShare issues, QQ group number: 326900231

Features

• Easy: Just one line to fetch the data;
• Fast: Just copy and paste;
• Extensible: Easy to customize your own code;
• Powerful: Python ecosystem.

Tutorials

1. Overview
2. Installation
3. Tutorial
4. Data Dict
5. 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 Black to format the code

Statement

1. The data provided by AkShare is for reference only and does not constitute any investment proposal;

2. Any investor based on AkShare research should pay more attention to data risk;

3. AkShare will insist on providing open-source financial data;

4. Based on some uncontrollable factors, some data interfaces in AkShare may be removed;

5. Please follow the relevant open-source protocol used by AkShare

Show your style

Use the badge in your project's README.md:

[![Data: akshare](https://img.shields.io/badge/data-akshare-000345.svg)](https://github.com/jindaxiang/akshare)

Using the badge in README.rst:

.. image:: https://img.shields.io/badge/data-akshare-000150.svg
    :target: https://github.com/jindaxiang/akshare

Looks like this:

Citation

Please use this bibtex if you want to cite this repository in your publications:

@misc{akshare,
    author = {Albert King},
    title = {AkShare},
    year = {2019},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/jindaxiang/akshare}},
}

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 生意社网站

Thanks for the data provided by 奇货可查网站;

Thanks for the data provided by 智道智科网站;

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 英为财情网站;

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 金十数据网站;

Thanks for the data provided by 交易法门网站;

Thanks for the data provided by 和讯财经网站;

Thanks for the data provided by 新浪财经网站;

Thanks for the data provided by Oxford-Man Institute 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 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 南华期货网站;

Thanks for the data provided by Economic Policy Uncertainty 网站;

Thanks for the data provided by 微博指数网站;

Thanks for the data provided by 百度指数网站;

Thanks for the data provided by 谷歌指数网站;

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 猫眼电影网站;

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 IT桔子网站;

Thanks for the data provided by 东方财富网站;

Thanks for the data provided by 义乌小商品指数网站;

Thanks for the data provided by 中国国家发展和改革委员会网站;

Thanks for the data provided by 163网站;

Thanks for the data provided by 丁香园网站;

Thanks for the data provided by 百度新型肺炎网站;

Thanks for the data provided by 百度迁徙网站;

Thanks for the data provided by 新型肺炎-相同行程查询工具网站;

Thanks for the data provided by 新型肺炎-小区查询网站;

Thanks for the data provided by 商业特许经营信息管理网站;

Thanks for the data provided by 慈善中国网站;

Thanks for the data provided by 思知网站;

Thanks for the tutorial provided by 微信公众号: Python大咖谈;

Thanks for the tutorial provided by 微信公众号: Python大咖谈.