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

Related tags

Downloaderfinancedata-sciencedatacurrencyacademicstockeconomicsquantdata-analysisbondoptiondatasetsfuturesfinancial-datafundamentalasset-pricingtushareeconomic-datafinance-apiakshare
Overview

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

Overview

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

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-hangzhou.aliyuncs.com/akshare/akdocker

Run AkDocker

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

Test AkDocker

import akshare as ak
ak.__version__

Usage

Data

Code

import akshare as ak
hist_df = ak.stock_us_daily(symbol="AMZN")  # Get U.S. stock Amazon's price info
print(hist_df)

Output

               open       high        low      close     volume
date                                                           
1997-05-15    29.25    30.0000    23.1300    23.5000  6013000.0
1997-05-16    23.63    23.7500    20.5000    20.7500  1225000.0
1997-05-19    21.13    21.2500    19.5000    20.5000   508900.0
1997-05-20    20.75    21.0000    19.6300    19.6300   455600.0
1997-05-21    19.63    19.7500    16.5000    17.1300  1571100.0
             ...        ...        ...        ...        ...
2021-01-04  3270.00  3272.0000  3144.0200  3186.6299  4205801.0
2021-01-05  3166.01  3223.3799  3165.0601  3218.5100  2467255.0
2021-01-06  3146.48  3197.5090  3131.1599  3138.3799  4065357.0
2021-01-07  3157.00  3208.5420  3155.0000  3162.1599  3320882.0
2021-01-08  3180.00  3190.6399  3142.2000  3182.7000  3410288.0
[5951 rows x 5 columns]

Plot

Code

import akshare as ak
import mplfinance as mpf  # Please 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

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

Application to add AkShare-官方 QQ group and talk about AkShare issues, QQ group number: 772100249

AkShare-官方

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 Black 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

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/jindaxiang/akshare)

Using the badge in README.rst:

.. image:: https://img.shields.io/badge/Data%20Science-AkShare-green
    :target: https://github.com/jindaxiang/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/jindaxiang/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 生意社网站;

Thanks for the data provided by 奇货可查网站;

Thanks for the data provided by 智道智科网站;

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 交易法门网站;

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 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 猫眼电影网站;

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 data provided by 中国期货市场监控中心;

Thanks for the data provided by 宽客在线;

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

Backer and Sponsor

Comments
  • live data

    live data

    Hi,

    I noticed there are two functions that can possibly provide real-time data.

    1. stock_zh_a_spot
    2. stock_zh_a_tick

    I've questions/suggestions regarding both, respectively.

    1. Is it possible to provide a symbol argument to stock_zh_a_spot? eg. stock_zh_a_spot(symbol = '000001').
    2. Does stock_zh_a_tick provide live data during regular trade hours?
    3. I'm interested in symbol = 'sh204007' (GC007, repo rate). Can stock_zh_a_spot fetch this data?

    Thanks.

    opened by edwardsun 25
  • ak.stock_zh_a_daily 查询k线数据问题

    ak.stock_zh_a_daily 查询k线数据问题

    Python 3.9.2

    Traceback (most recent call last):
  File "/Users/cuijl/PycharmProjects/rqalpha/akshare_test/test.py", line 5, in <module>
    stock_zh_a_daily_qfq_df = ak.stock_zh_a_daily(symbol="sz000002", start_date="20101103", end_date="20201116",
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/akshare/stock/zh_stock_a_sina.py", line 181, in stock_zh_a_daily
    temp_df = pd.merge(
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/pandas/core/reshape/merge.py", line 89, in merge
    return op.get_result()
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/pandas/core/reshape/merge.py", line 684, in get_result
    join_index, left_indexer, right_indexer = self._get_join_info()
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/pandas/core/reshape/merge.py", line 896, in _get_join_info
    join_index, left_indexer, right_indexer = left_ax.join(
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/pandas/core/indexes/datetimelike.py", line 893, in join
    this, other = self._maybe_utc_convert(other)
  File "/Users/cuijl/PycharmProjects/rqalpha/venv/lib/python3.9/site-packages/pandas/core/indexes/datetimes.py", line 413, in _maybe_utc_convert
    raise TypeError("Cannot join tz-naive with tz-aware DatetimeIndex")
TypeError: Cannot join tz-naive with tz-aware DatetimeIndex
    bug 
    opened by mixbe 14
  • 开发者您好，stock_zh_a_hist该接口获取日K线数据，遇到停牌的股票会直接报错，使用版本1.5.91

    开发者您好，stock_zh_a_hist该接口获取日K线数据，遇到停牌的股票会直接报错，使用版本1.5.91

    比如 吉林化纤 000420 这个股票 使用stock_zh_a_hist接口，参数设置为period="daily"的时候，遇到这个停牌的股票，直接报错，无法继续执行下去，其他股票能正常拉取数据，今天更新到1.5.91版本后，出现这个问题，上周五5月20日使用1.5.82版本的时候，正常 还请开发者能帮忙看看修复下，谢谢~

    opened by tzmdaming 9
  • AKShare 接口问题报告

    AKShare 接口问题报告

    遇到任何问题，请先确认您的 AKShare 版本是最新的

    pip install akshare --upgrade  # Python 版本需要大于 3.7

    描述遇到的问题

    1. 操作系统版本 Windows 11 22H2
    2. Python 版本 Python 3.11.0
    3. AKShare 版本 1.7.90
    4. 接口的名称和代码 fund_portfolio_hold_em ak.fund_portfolio_hold_em(symbol=code, date="2022")
    5. 接口报错的截图或代码 image 看起来页面解析的结果key是“占净值 比例”，“持股数 （万股）”， “ 持仓市值 （万元）”，--key中包含空格。 而代码是按照“占净值比例”，“持股数（万股）”， “ 持仓市值（万元）”处理的。
    6. 期望获得的正确结果
    bug 
    opened by jqAtNJ 7
  • currency_hist报错

    currency_hist报错

    遇到任何问题，请先确认您的 AKShare 版本是最新的

    pip install akshare --upgrade  # Python 版本需要大于 3.7

    描述遇到的问题

    1. 操作系统版本: ubuntu 20.04
    2. Python 版本: 3.8.10
    3. AKShare 版本: 最新版本，测试前刚刚升级过akshare
    4. 接口的名称和代码: currency_hist
    5. 接口报错的截图或代码
    >>> import akshare as ak
>>> currency_hist_df = ak.currency_hist(symbol="usd-jpy", start_date="20050101", end_date="20200117")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/dean/work/pyenv/quantopianPython/lib/python3.8/site-packages/akshare/fx/currency_investing.py", line 57, in currency_hist
    title = soup.find("h2", attrs={"class": "float_lang_base_1"}).get_text()
AttributeError: 'NoneType' object has no attribute 'get_text'
    1. 期望获得的正确结果 之前工作正常，最近两天突然报错。
    bug 
    opened by csfreebird 7
  • AKShare 接口问题报告 currency_hist

    AKShare 接口问题报告 currency_hist

    描述遇到的问题

    1. 操作系统版本
    2. Python 版本
    3. AKShare 版本 8-18 最新版
    4. 接口的名称和代码 currency_hist
    5. 接口报错的截图或代码

    这是 文档里面的示例，跑不通：T.T

    ak.currency_hist(symbol="usd-jpy", period="每日", start_date="20050101", end_date="20220808")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.9/site-packages/akshare/fx/currency_investing.py", line 85, in currency_hist
    code = currency_hist_area_index_name_code(symbol)
  File "/usr/local/lib/python3.9/site-packages/akshare/fx/currency_investing.py", line 56, in currency_hist_area_index_name_code
    data_text = soup.find("script", attrs={"id": "__NEXT_DATA__"}).text
AttributeError: 'NoneType' object has no attribute 'text'
    1. 期望获得的正确结果
    bug 
    opened by h2y 6
  • AKShare 接口问题报告

    AKShare 接口问题报告

    遇到任何问题，请先确认您的 AKShare 版本是最新的

    pip install akshare --upgrade  # Python 版本需要大于 3.7

    描述遇到的问题

    1. 操作系统版本：MAC OS 11.6

    2. Python 版本：3.8

    3. AKShare 版本：1.1.17

    4. 接口的名称和代码：stock_fund_flow_industry & stock_fund_flow_concept

    5. 接口报错的截图或代码：即时返回行业涨跌幅度和领涨股返回空值 image

    6. 期望获得的正确结果

    bug 
    opened by xnw176 6
  • AKShare 接口问题报告 问财热股数据无法下载

    AKShare 接口问题报告 问财热股数据无法下载

    遇到任何问题，请先确认您的 AKShare 版本是最新的

    pip install akshare --upgrade  # Python 版本需要大于 3.7

    描述遇到的问题

    1. 操作系统版本 Mac OS 10.13
    2. Python 版本 3.8.5
    3. AKShare 版本
    4. 接口的名称和代码 stock_wc_hot_rank(date="20210908")
    5. 接口报错的截图或代码

    Error in py_call_impl(callable, dots$args, dots$keywords) : IndexError: list index out of range

    Detailed traceback: File "/opt/anaconda3/envs/queen/lib/python3.8/site-packages/akshare/stock_feature/stock_wencai.py", line 87, in stock_wc_hot_rank rank_date_str = temp_df.columns[2].split("[")[1].strip("]")

    1. 期望获得的正确结果 从2021年9月8日开始无法下载当日数据，但是历史数据可以正常下载。
    bug 
    opened by quanplex 6
  • ak.epidemic_baidu(indicator=

    ak.epidemic_baidu(indicator="历史") not working for two days

    epidemic_baidu_df = ak.epidemic_baidu(indicator="历史") print(epidemic_baidu_df)

    Fetching historic data from epidemic[email protected]... Traceback (most recent call last): File "", line 8, in File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/akshare/event/sos.py", line 278, in epidemic_baidu json_data = json.loads(r.text[r.text.find("V.conf = ") + 9: r.text.find("V.bsData") - 1]) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/json/init.py", line 357, in loads return _default_decoder.decode(s) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/json/decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/json/decoder.py", line 355, in raw_decode raise JSONDecodeError("Expecting value", s, err.value) from None json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

    Successfully installed akshare-0.4.1

    bug 
    opened by ericqianli 6
  • epidemic_163 not returning data in expected format

    epidemic_163 not returning data in expected format

    According to the documentation, calling history indicator on epidemic_163 should return data grouped by area. But in fact it is not.

    Query import akshare as ak epidemic_163_df = ak.epidemic_163(indicator="实时") print(epidemic_163_df)

    Expected Result day time country area dead confirm suspect heal city district 0 1.12 中国 湖北武汉 1 41 0 NaN None None 1 1.13 中国 湖北武汉 1 41 0 NaN None None 2 1.14 中国 湖北武汉 1 41 0 NaN None None 3 1.15 中国 湖北武汉 2 41 0 NaN None None 4 1.16 中国 湖北武汉 2 45 0 NaN None None .. ... ... ... ... ... ... ... ... ... ... 220 1.26 09:00 中国 台湾 0 3 0 0.0
    221 1.26 09:00 中国 新疆 0 4 0 0.0
    222 1.26 09:00 中国 澳门 0 5 0 0.0
    223 1.26 09:00 中国 内蒙古 0 7 0 0.0
    224 1.26 09:00 中国 青海 0 4 0 0.0

    Actual Result date confirm suspect dead heal 0 01.21 440 37 9 25 1 01.13 41 0 1 0 2 01.14 41 0 1 0 3 01.15 41 0 2 5 4 01.16 45 0 2 8 .. ... ... ... ... ... 11 01.20 291 54 6 25 12 01.25 1429 1965 42 38 13 01.26 2081 2684 56 49 14 01.27 2858 5794 82 58 15 01.28 4599 6973 106 68

    opened by ericqianli 6
  • 可转债实时数据参数需求

    可转债实时数据参数需求

    我想根据我的需求提两个建议： 一、我认为在可转债实时数据的获取中，获取该支转债的昨日收盘价是有必要的，可以用于量化参考； 二、增加以1分钟为尺度的成交量的数据会更加方便，现有的volume显示的是当天过去时间段所有的成交量，如果有每分钟的成交量，则可以更灵活的适应更多的需求。 以上两点建议望采纳，谢谢

    opened by balan123332 5
  • AKShare 接口问题报告

    AKShare 接口问题报告

    遇到任何问题，请先确认您的 AKShare 版本是最新的

    pip install akshare --upgrade  # Python 版本需要大于 3.7

    描述遇到的问题

    1. 操作系统版本：windows
    2. Python 版本：3.9.12
    3. AKShare 版本：最新
    4. 接口的名称和代码：获取展期收益率的接口get_roll_yield_bar
    5. 接口报错的截图或代码：KeyError: 'variety'。
    6. 期望获得的正确结果
    bug 
    opened by yinlinzhan 3
Releases(release-v1.8.45)
Owner
Albert King
Courage is more than a force
Albert King
GitHub Repository https://www.akshare.xyz
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Hartawan Bahari M. 1 Dec 29, 2021
DYA ( Ditch YouTube API ) is a package created to power the user with YouTube Data API functionality without any API Key

Ditch YouTubeAPI (BETA) DYA ( Ditch YouTube API ) is a package created to power the user with YouTube Data API functionality without any API Key Detai

Sougata Jana 23 Dec 22, 2022
Download YOUR files, documents from vk.

vk-documents-downloader Кароч эта симпл херня качает все ВАШИ документы с вк. Или я еблан, но в гх и тмб гугле я подобного не нашел. py main.py Login:

4 Jun 10, 2022
Smule Video Downloader

Smule Video Downloader Using Requests,Re & Urllib Installation - apt install git (for vps) or pkg install git (for termux)

Hansen Gianto 4 Aug 31, 2022