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AKShare requires Python(64 bit) 3.9 or higher andaims to simplify the process of fetching financial data.

Write less, get more!

• Documentation:中文文档

pip install akshare --upgrade

pip install akshare -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com  --upgrade

Please check outDocumentation if youwant to contribute to AKShare

docker pull registry.cn-shanghai.aliyuncs.com/akfamily/aktools:jupyter

docker run -it registry.cn-shanghai.aliyuncs.com/akfamily/aktools:jupyter python

importakshareasakprint(ak.__version__)

Code:

importakshareasakstock_zh_a_hist_df=ak.stock_zh_a_hist(symbol="000001",period="daily",start_date="20170301",end_date='20231022',adjust="")print(stock_zh_a_hist_df)

Output:

      日期          开盘   收盘    最高  ...  振幅   涨跌幅  涨跌额  换手率0     2017-03-01   9.49   9.49   9.55  ...  0.84  0.11  0.01  0.211     2017-03-02   9.51   9.43   9.54  ...  1.26 -0.63 -0.06  0.242     2017-03-03   9.41   9.40   9.43  ...  0.74 -0.32 -0.03  0.203     2017-03-06   9.40   9.45   9.46  ...  0.74  0.53  0.05  0.244     2017-03-07   9.44   9.45   9.46  ...  0.63  0.00  0.00  0.17          ...    ...    ...    ...  ...   ...   ...   ...   ...1610  2023-10-16  11.00  11.01  11.03  ...  0.73  0.09  0.01  0.261611  2023-10-17  11.01  11.02  11.05  ...  0.82  0.09  0.01  0.251612  2023-10-18  10.99  10.95  11.02  ...  1.00 -0.64 -0.07  0.341613  2023-10-19  10.91  10.60  10.92  ...  3.01 -3.20 -0.35  0.611614  2023-10-20  10.55  10.60  10.67  ...  1.51  0.00  0.00  0.27[1615 rows x 11 columns]

Code:

importakshareasakimportmplfinanceasmpf# Please install mplfinance as follows: pip install mplfinancestock_us_daily_df=ak.stock_us_daily(symbol="AAPL",adjust="qfq")stock_us_daily_df=stock_us_daily_df.set_index(["date"])stock_us_daily_df=stock_us_daily_df["2020-04-01":"2020-04-29"]mpf.plot(stock_us_daily_df,type="candle",mav=(3,6,9),volume=True,show_nontrading=False)

Output:

• Easy of use: Just one line code to fetch the data;
• Extensible: Easy to customize your own code with other application;
• Powerful: Python ecosystem.

1. Overview
2. Installation
3. Tutorial
4. Data Dict
5. Subjects

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 useRuff to format the code

1. All data provided byAKShare is just for academic research purpose;
2. The data provided byAKShare is for reference only and does not constitute any investment proposal;
3. Any investor based onAKShare research should pay more attention to data risk;
4. AKShare will insist on providing open-source financial data;
5. Based on some uncontrollable factors, some data interfaces inAKShare may be removed;
6. Please follow the relevant open-source protocol used byAKShare;
7. Provide HTTP API for the person who uses other program language:AKTools.

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

[![Data: akshare](https://img.shields.io/badge/Data%20Science-AKShare-green)](https://github.com/akfamily/akshare)

Using the badge in README.rst:

.. image:: https://img.shields.io/badge/Data%20Science-AKShare-green    :target: https://github.com/akfamily/akshare

Looks like this:

Please use thisbibtex 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/akfamily/akshare}},}

Special thanksFuShare for the opportunity of learning from the project;

Special thanksTuShare 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 by99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 byDACHENG-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 byTimeanddate 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 byEconomic 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 byExpatistan 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 byCurrencyscoop 网站;

Thanks for the data provided by新加坡交易所网站;