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https://github.com/akfamily/akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
https://github.com/akfamily/akshare

academic akshare asset-pricing bond currency data data-analysis data-science datasets economic-data economics finance finance-api financial-data fundamental futures option quant stock

Last synced: 3 days ago
JSON representation

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Host: GitHub
URL: https://github.com/akfamily/akshare
Owner: akfamily
License: mit
Created: 2019-10-01T07:34:12.000Z (about 5 years ago)
Default Branch: main
Last Pushed: 2024-12-02T08:01:56.000Z (10 days ago)
Last Synced: 2024-12-02T10:11:37.009Z (10 days ago)
Topics: academic, akshare, asset-pricing, bond, currency, data, data-analysis, data-science, datasets, economic-data, economics, finance, finance-api, financial-data, fundamental, futures, option, quant, stock
Language: Python
Homepage: https://akshare.akfamily.xyz
Size: 376 MB
Stars: 9,622
Watchers: 208
Forks: 1,921
Open Issues: 0
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

awesome-quant-cn - akshare - - 基于 Python 的财经数据接口库, 目的是实现对股票、期货、期权、基金、外汇、债券、指数、加密货币等金融产品的基本面数据、实时和历史行情数据、衍生数据从数据采集、数据清洗到数据落地的一套工具 (金融数据)
awesome-systematic-trading - AkShare - with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg) | (Data Sources / General)
awesome-python-resources - GitHub
my-awesome - akfamily/akshare - pricing,bond,currency,data,data-analysis,data-science,datasets,economic-data,economics,finance,finance-api,financial-data,fundamental,futures,option,quant,stock pushed_at:2024-12 star:9.7k fork:1.9k AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库 (Python)
awesome-systematic-trading - AkShare - commit/akfamily/akshare/main) |`Python`| - AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库 (Data Source / Stocks and General)

README

        **欢迎加入专注于财经数据和量化投资的知识社区，请点击[了解更多](https://akshare.akfamily.xyz/learn.html)**

**量化投研视频课程：《PyBroker-入门及实战》已经上架！《PyBroker-进阶及实战》正在更新！**

**更多视频教程已经发布：《AKShare-初阶-使用教学》、《AKShare-初阶-实战应用》、《AKShare-源码解析》、《开源项目巡礼》**，

详情请关注【数据科学实战】公众号，查看更多课程信息！

**AKQuant 量化教程请访问：[利用 PyBroker 进行量化投资](https://akquant.akfamily.xyz/)**

**本次发布 [AKTools](https://github.com/akfamily/aktools) 作为 AKShare 的 HTTP API 版本，

突破 Python 语言的限制，欢迎各位小伙伴试用并提出更好的意见或建议！

点击 [AKTools](https://github.com/akfamily/aktools) 查看使用指南。另外提供 [awesome-data](https://github.com/akfamily/awesome-data) 方便各位小伙伴查询各种数据源。**

![AKShare Logo](https://github.com/akfamily/akshare/blob/main/assets/images/akshare_logo.jpg)

[![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)](https://pepy.tech/project/akshare)

[![Documentation Status](https://readthedocs.org/projects/akshare/badge/?version=latest)](https://akshare.readthedocs.io/?badge=latest)

[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)

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

[![Actions Status](https://github.com/akfamily/akshare/actions/workflows/release_and_deploy.yml/badge.svg)](https://github.com/akfamily/akshare/actions)

[![MIT Licence](https://img.shields.io/badge/license-MIT-blue)](https://github.com/akfamily/akshare/blob/main/LICENSE)

[![](https://img.shields.io/github/forks/jindaxiang/akshare)](https://github.com/akfamily/akshare)

[![](https://img.shields.io/github/stars/jindaxiang/akshare)](https://github.com/akfamily/akshare)

[![](https://img.shields.io/github/issues/jindaxiang/akshare)](https://github.com/akfamily/akshare)

[![code style: prettier](https://img.shields.io/badge/code_style-prettier-ff69b4.svg?style=flat-square)](https://github.com/prettier/prettier)

## Overview

[AKShare](https://github.com/akfamily/akshare) requires Python(64 bit) 3.8 or higher and

aims to simplify the process of fetching financial data.

**Write less, get more!**

- Documentation: [中文文档](https://akshare.akfamily.xyz/)

## Installation

### General

```shell

pip install akshare --upgrade

```

### China

```shell

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

```

### PR

Please check out [Documentation](https://akshare.akfamily.xyz/contributing.html) if you

want to contribute to AKShare

### Docker

#### Pull images

```shell

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

```

#### Run Container

```shell

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

```

#### Test

```python

import akshare as ak

print(ak.__version__)

```

## Usage

### Data

Code:

```python

import akshare as ak

stock_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:

```python

import akshare as ak

import mplfinance as mpf  # Please install mplfinance as follows: pip install mplfinance

stock_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:

![KLine](https://jfds-1252952517.cos.ap-chengdu.myqcloud.com/akshare/readme/home/AAPL_candle.png)

## Communication

Welcome to join the **数据科学实战** knowledge planet to learn more about quantitative investment,

please visit [数据科学实战](https://akshare.akfamily.xyz/learn.html) for more information:



    



Pay attention to **数据科学实战** WeChat Official Accounts to get the [AKShare](https://github.com/akfamily/akshare) updated info:



    



## 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](https://akshare.akfamily.xyz/introduction.html)

2. [Installation](https://akshare.akfamily.xyz/installation.html)

3. [Tutorial](https://akshare.akfamily.xyz/tutorial.html)

4. [Data Dict](https://akshare.akfamily.xyz/data/index.html)

5. [Subjects](https://akshare.akfamily.xyz/topic/index.html)

## Contribution

[AKShare](https://github.com/akfamily/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](https://github.com/astral-sh/ruff) to format the code

## Statement

1. All data provided by [AKShare](https://github.com/akfamily/akshare) is just for academic research purpose;

2. The data provided by [AKShare](https://github.com/akfamily/akshare) is for reference only and does not constitute any investment proposal;

3. Any investor based on [AKShare](https://github.com/akfamily/akshare) research should pay more attention to data risk;

4. [AKShare](https://github.com/akfamily/akshare) will insist on providing open-source financial data;

5. Based on some uncontrollable factors, some data interfaces in [AKShare](https://github.com/akfamily/akshare) may be removed;

6. Please follow the relevant open-source protocol used by [AKShare](https://github.com/akfamily/akshare);

7. Provide HTTP API for the person who uses other program language: [AKTools](https://aktools.readthedocs.io/).

## Show your style

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

```markdown

[![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:

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

## Citation

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

```markdown

@misc{akshare,

    author = {Albert King},

    title = {AKShare},

    year = {2019},

    publisher = {GitHub},

    journal = {GitHub repository},

    howpublished = {\url{https://github.com/akfamily/akshare}},

}

```

## Acknowledgement

Special thanks [FuShare](https://github.com/LowinLi/fushare) for the opportunity of learning from the project;

Special thanks [TuShare](https://github.com/waditu/tushare) for the opportunity of learning from the project;

Thanks for the data provided by [生意社网站](http://www.100ppi.com/);

Thanks for the data provided by [中国银行间市场交易商协会网站](http://www.nafmii.org.cn/);

Thanks for the data provided by [99期货网站](http://www.99qh.com/);

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](http://www.chinamoney.com.cn/chinese/);

Thanks for the data provided by [金十数据网站](https://www.jin10.com/);

Thanks for the data provided by [和讯财经网站](http://www.hexun.com/);

Thanks for the data provided by [新浪财经网站](https://finance.sina.com.cn/);

Thanks for the data provided by [DACHENG-XIU 网站](https://dachxiu.chicagobooth.edu/);

Thanks for the data provided by [上海证券交易所网站](http://www.sse.com.cn/assortment/options/price/);

Thanks for the data provided by [深证证券交易所网站](http://www.szse.cn/);

Thanks for the data provided by [北京证券交易所网站](http://www.bse.cn/);

Thanks for the data provided by [中国金融期货交易所网站](http://www.cffex.com.cn/);

Thanks for the data provided by [上海期货交易所网站](http://www.shfe.com.cn/);

Thanks for the data provided by [大连商品交易所网站](http://www.dce.com.cn/);

Thanks for the data provided by [郑州商品交易所网站](http://www.czce.com.cn/);

Thanks for the data provided by [上海国际能源交易中心网站](http://www.ine.com.cn/);

Thanks for the data provided by [Timeanddate 网站](https://www.timeanddate.com/);

Thanks for the data provided by [河北省空气质量预报信息发布系统网站](http://110.249.223.67/publish/);

Thanks for the data provided by [南华期货网站](http://www.nanhua.net/nhzc/varietytrend.html);

Thanks for the data provided by [Economic Policy Uncertainty 网站](http://www.nanhua.net/nhzc/varietytrend.html);

Thanks for the data provided by [申万指数网站](http://www.swsindex.com/idx0120.aspx?columnid=8832);

Thanks for the data provided by [真气网网站](https://www.zq12369.com/);

Thanks for the data provided by [财富网站](http://www.fortunechina.com/);

Thanks for the data provided by [中国证券投资基金业协会网站](http://gs.amac.org.cn/);

Thanks for the data provided by [Expatistan 网站](https://www.expatistan.com/cost-of-living);

Thanks for the data provided by [北京市碳排放权电子交易平台网站](https://www.bjets.com.cn/article/jyxx/);

Thanks for the data provided by [国家金融与发展实验室网站](http://www.nifd.cn/);

Thanks for the data provided by [东方财富网站](http://data.eastmoney.com/jgdy/);

Thanks for the data provided by [义乌小商品指数网站](http://www.ywindex.com/Home/Product/index/);

Thanks for the data provided by [百度迁徙网站](https://qianxi.baidu.com/?from=shoubai#city=0);

Thanks for the data provided by [思知网站](https://www.ownthink.com/);

Thanks for the data provided by [Currencyscoop 网站](https://currencyscoop.com/);

Thanks for the data provided by [新加坡交易所网站](https://www.sgx.com/zh-hans/research-education/derivatives);

Thanks for the tutorials provided by [微信公众号: Python大咖谈](https://upload-images.jianshu.io/upload_images/3240514-61004f2c71be4a0b.png).

## Backer and Sponsor