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A tool for downloading financial data!

Project description

PyPI - Python Version PyPI Downloads Documentation Status

Overview

AkShare is an , written with Python-3.7.3, aims to make fetch financial data as convenient as possible.

Write less, get more:

Features

  • Easy: Powered by Python
  • Fast: Powered by Python
  • Extensible: Powered by Python
  • Powerful: Python support

Installation

# For Linux & Mac
pip install akshare --upgrade

# For Windows
pip install akshare --upgrade

# New features
pip install akshare --upgrade

Tutorials

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

TODO

  • Uniform interface;
  • Support more data;

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 AutoPep8 to format the code

Thanks

特别感谢 FuShare, TuShare 项目提供借鉴学习的机会;

感谢生意社网站提供的商品基差及相关数据;

感谢奇货可查网站提供的奇货指数及相关数据;

感谢智道智科网站提供的私募指数数据;

感谢中国银行间市场交易商协会网站提供的银行间市场债券基本面数据;

感谢99期货网站提供的大宗商品库存数据;

感谢英为财情网站提供的全球股指与期货指数数据, 全球政府债券行情与收益率数据;

感谢中国外汇交易中心暨全国银行间同业拆借中心网站提供的外汇和债券相关数据;

感谢金十数据网站提供的全球宏观数据数据;

感谢交易法门网站提供的期货-仓单有效期数据;

感谢和讯财经网站提供的相关数据;

感谢新浪财经网站提供的相关数据;

感谢Oxford-Man Institute of Quantitative Finance Realized Library 网站提供的相关数据;

感谢DACHENG XIU网站提供的相关数据;

感谢上海证券交易所提供的相关数据;

感谢中国金融期货交易所网站提供的相关数据;

感谢上海期货交易所网站提供的相关数据;

感谢大连商品交易所网站提供的相关数据;

感谢郑州商品交易所网站提供的相关数据;

感谢上海国际能源交易中心网站提供的相关数据.

感谢Python大咖谈公众号提供的Pandas教程

交流

欢迎加 QQ 群交流: 326900231

您可以扫码或者点击群二维码申请加入, 请放心点击:

AkShare官方

声明

  1. AkShare 提供的数据仅供参考, 不构成任何投资建议;
  2. 任何基于 AkShare 进行研究的投资者请注意数据风险;
  3. AkShare 坚持提供开源金融数据, 请放心使用;
  4. AkShare 的使用请遵循相关开源协议;

Project details


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