GitHub - 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 (original) (raw)

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PyPI - Python Version PyPI Downloads Documentation Status Ruff akshare Actions Status MIT Licence code style: prettier

Overview

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

Write less, get more!

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

import akshare as ak

print(ak.version)

Usage

Data

Code:

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:

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

Features

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:

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

Using the badge in README.rst:

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

Looks like this:

Data: akshare

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/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;

Backer and Sponsor

JetBrains logo.