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

《AKShare 源码解析》课程即将上线，可加入【知识星球-数据科学家】学习！应广大小伙伴的需求，特此开设 AKShare 源码解析课程，本课程会系统的给大家手把手讲解 AKShare 数据接口的源码及财经数据的网络数据采集知识！点击链接 查看课程信息

本次发布 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 查看使用指南。另外提供 awesome-data 方便各位小伙伴查询各种数据源

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

[](#overview)Overview

AKShare requires Python(64 bit) 3.7 or greater, aims to make fetch financial data as convenient as possible.

Write less, get more!

[](https://gitee.com/akshare/akshare#)

[](#installation)Installation

[](#general)General

pip install akshare --upgrade

[](#china)China

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

[](#pr)PR

Please check out documentation if you want to contribute to AKShare

[](#docker)Docker

[](#pull-images)Pull images

docker pull registry.cn-hangzhou.aliyuncs.com/akshare/akdocker

[](#run-akdocker)Run AKDocker

docker run -it registry.cn-hangzhou.aliyuncs.com/akshare/akdocker python

[](#test-akdocker)Test AKDocker

import akshare as ak
ak.__version__

[](#usage)Usage

[](#data)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='20210907', 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
... ... ... ... ... ... ... ... ...
1100 2021-09-01 17.48 17.88 17.92 ... 5.11 0.45 0.08 1.19
1101 2021-09-02 18.00 18.40 18.78 ... 5.48 2.91 0.52 1.25
1102 2021-09-03 18.50 18.04 18.50 ... 4.35 -1.96 -0.36 0.72
1103 2021-09-06 17.93 18.45 18.60 ... 4.55 2.27 0.41 0.78
1104 2021-09-07 18.60 19.24 19.56 ... 6.56 4.28 0.79 0.84
[1105 rows x 11 columns]

[](#plot)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[["open", "high", "low", "close", "volume"]]
stock_us_daily_df.columns = ["Open", "High", "Low", "Close", "Volume"]
stock_us_daily_df.index.name = "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

[](#communication)Communication

Pay attention to 数据科学家 Official Accounts to get more information about Quant, ML, DS and so on, please visit 数据科学家 for more information:

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

[](#features)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)Tutorials

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

[](#contribution)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)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)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:

Data: akshare

[](#citation)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)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 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 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 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 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 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 data provided by Currencyscoop 网站;

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

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

[](#backer-and-sponsor)Backer and Sponsor

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创建于: 2024-03-07 16:45:41
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