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README
Apache-2.0

RQAlpha

https://raw.githubusercontent.com/ricequant/rqalpha/master/docs/source/_static/logo.jpg Build https://coveralls.io/repos/github/ricequant/rqalpha/badge.svg?branch=master Documentation Status PyPI Version License Python Version Support

RQAlpha 从数据获取、算法交易、回测引擎,实盘模拟,实盘交易到数据分析,为程序化交易者提供了全套解决方案。RQAlpha 具有灵活的配置方式,强大的扩展性,用户可以非常容易地定制专属于自己的程序化交易系统。

RQAlpha 所有的策略都可以直接在 Ricequant 上进行回测和实盘模拟,并且可以通过微信和邮件实时推送您的交易信号。

Ricequant 是一个开放的量化算法交易社区,为程序化交易者提供免费的回测和实盘模拟环境,并且会不间断举行实盘资金投入的量化比赛。

特点

  • 易于使用: RQAlpha让您集中于策略的开发,一行简单的命令就可以执行您的策略。
  • 完善的文档: 您可以直接访问 RQAlpha 文档 或者 Ricequant 文档 来获取您需要的信息。
  • 活跃的社区: 您可以通过访问 Ricequant 社区 获取和询问有关 RQAlpha 的一切问题,有很多优秀的童鞋会解答您的问题。
  • 稳定的环境: 每天都有会大量的算法交易在 Ricequant 上运行,无论是 RQAlpha,还是数据,我们能会做到问题秒处理,秒解决。
  • 灵活的配置: RQAlpha 提供了一系列的配置选项,用户可以通过简单的配置来构建适合自己的交易系统。
  • 强大的扩展性: RQAlpha 定义了一系列的 Mod Hook 接口,开发者可以基于 Mod 的开发模式,扩展 RQAlpha,无论是做实时监控,还是归因分析,RQAlpha 都可以通过扩展来实现。

快速指引

RQAlpha API

机构版

https://raw.githubusercontent.com/ricequant/rqalpha/master/docs/source/_static/rqalpha_plus.png

目前 RQAlpha 开源版仅开放了日级别的历史数据和日回测功能,如果您是机构用户,需要做算法交易亦或是量化研究,都可以联系我们的机构端产品销售获得机构端产品功能支持。「销售电话」:0755-33967716 「QQ」:4848371

机构端产品功能:

  •   可以本地部署,使用pycharm、anaconda等工具做本地策略研发、模拟以及实盘交易,效率大大加强,本地管理自己的策略提高保密性
  •   极速调取经过清洗处理的历史数据接口服务,包括了:400多项指标的财务数据,股票、期货、ETF、LOF、分级基金等等10年+的日和分钟、tick级别的历史数据以及每日更新,股票、期货的实时数据支持,指数以及构成,板块分类,股本、换手率、融资融券等,天猫等电商销量数据,公募基金数据,舆情、公告类
  • 股票、期货的实盘交易订单管理系统以及实盘下单支持,从回测到实盘交易的一条龙系统以及服务支持
  • 策略的管理以及实盘的收益、风险计算等
  • 交易数据的保存以及提取分析
  • 业绩分析和风险管理系统
  • 技术支持及定制化开发

加入开发

其他

获取帮助

关于RQAlpha的任何问题可以通过以下途径来获取帮助

  • 查看 FAQ 页面找寻常见问题及解答
  • 可以通过 索引 或者使用搜索功能来查找特定问题
  • Github Issue 中提交issue
  • RQAlpha 交流群「487188429」
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简介

RQAlpha是一个中国市场领先的股票和期货的回测引擎,具备日级别的历史数据回测,并且具有很强的可拓展性。由Ricequant米筐科技开源。 展开 收起
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