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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

pip install akshare --upgrade

China

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

PR

Please check out Documentation if you want to contribute to AKShare

Docker

Pull images

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

Run Container

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

Test

importakshareasakprint(ak.__version__)

Usage

Data

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 0.21
1 2017-03-02 9.51 9.43 9.54 ... 1.26 -0.63 -0.06 0.24
2 2017-03-03 9.41 9.40 9.43 ... 0.74 -0.32 -0.03 0.20
3 2017-03-06 9.40 9.45 9.46 ... 0.74 0.53 0.05 0.24
4 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 0.26
1611 2023-10-17 11.01 11.02 11.05 ... 0.82 0.09 0.01 0.25
1612 2023-10-18 10.99 10.95 11.02 ... 1.00 -0.64 -0.07 0.34
1613 2023-10-19 10.91 10.60 10.92 ... 3.01 -3.20 -0.35 0.61
1614 2023-10-20 10.55 10.60 10.67 ... 1.51 0.00 0.00 0.27
[1615 rows x 11 columns]

Plot

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:

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

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 Ruff to format the code

Statement

1. All data provided by AKShare is just for academic research purpose;
2. The data provided by AKShare is for reference only and does not constitute any investment proposal;
3. Any investor based on AKShare 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 in AKShare may be removed;
6. Please follow the relevant open-source protocol used by AKShare;
7. Provide HTTP API for the person who uses other program language: AKTools.

Show your style

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:

Citation

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

@misc{akshare,
author = {Albert King and Yaojie Zhang},
title = {AKShare},
year = {2022},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/akfamily/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 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;