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🌱 React and redux based, lightweight and elm-style framework. (Inspired by elm and choo)

License: MIT License

JavaScript 94.17% CSS 1.87% HTML 0.79% Shell 3.17%

dva's Introduction

SixQuant

PyPI Version Build Status Wheel Status Coverage report Powered by SixQuant

Overview

A quick and stable data source for finance data.

提供快速稳定的金融(主要是股票)相关数据,包括实时和历史数据,数据会尽可能缓存在本地,以便提高性能同时减少服务器压力。同时,也提供了一些常用的金融辅助函数画图函数等。将来接口会全面兼容使用 RQAlpha 的 RiceQuant 和 TuShare 等常用相关库,方便用户移植代码!

  • 如果觉得本项目值得期待或有价值,感谢点这里GitHub stars给我们加star鼓励,多谢!!!
  • 如果你有任何疑问或需求想要实现,欢迎点这里GitHub issues提交您的需求。

Install

Install sixquant

$ pip3 install sixquant

Upgrade sixquant

$ pip3 install sixquant --upgrade

Quick Start

import sixquant as sq

print(rq.__version__)

df = sq.get_day_today_quote(dropna=True)
print(len(df))
print(df.head())

Docs

基本使用

Reference

Contributing contributions welcome

开发环境

Todo

  • ......

Change Logs

  • 0.0.1 2017-11-03
    • 初始版本

License

MIT

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