Displaying 1 to 15 from 15 results

QUANTAXIS - QUANTAXIS 从数据爬取-清洗存储-分析回测-可视化-交易复盘的本地一站式解决方案

  •    Python

QUANTAXIS 从数据爬取-清洗存储-分析回测-可视化-交易复盘的本地一站式解决方案

hikyuu - Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架

  •    C++

Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架




squant - SQuant是使用scala语言编写的量化开发工具箱,提供开箱即用的A股股票数据和外汇数据(docker镜像),以及高效的回测框架与交易模块。方便Java/Scala爱好者进行量化投资研究。 QQ群:281599099

  •    Scala

SQuant是使用scala语言编写的量化开发工具箱,提供开箱即用的A股股票数据和外汇数据(docker镜像),以及高效的回测框架与交易模块。方便Java/Scala爱好者进行量化投资研究。 QQ群:281599099

pylivetrader - Python live trade execution library with zipline interface.

  •    Python

pylivetrader is a simple python live trading framework with zipline interface. The main purpose is to run algorithms developed in the Quantopian platform in live trading via broker API. In order to convert your algorithm for pylivetrader, please read the migration document. Here is the example dual moving average algorithm (by quantopian/zipline). We provide mostly the same API interfaces with zipline.

tqk - 한국 주식 데이터를 위한 R 패키지

  •    R

tidyquant의 설명서 일부를 번역하고 tqk를 적용하여 한국 주식을 예로 든 문서를 준비 했습니다.


QADemo - QUANTAXIS 的示例demo

  •    Jupyter

QUANTAXIS 的示例demo

QUANTAXISWEB - QUANTAXIS Python WEB BACKEND With TORNADO

  •    Python

QUANTAXIS Python WEB BACKEND With TORNADO

quant - 代码迁移到 https://github.com/yutiansut/quantaxis

  •    Python

QUANTAXIS量化金融策略框架,是一个面向中小型策略团队的量化分析解决方案. 我们通过高度解耦的模块化以及标准化协议,可以快速的实现面向场景的定制化解决方案.QUANTAXIS是一个渐进式的开放式框架,你可以根据自己的需要,引入自己的数据,分析方案,可视化过程等,也可以通过RESTful接口,快速实现多人局域网/广域网内的协作. QUANTAXIS与国内很多优秀的量化平台的区别在于,QA更多关注的是用户体验和实际情景,对于用户需求会有较多的优化.所以会更加注重开放性,引入自定义的便捷性,以及团队协作的细节处理.好比如自定义的数据引入,自定义的策略图表对比,自定义的风险和策略组合管理等等.

QUANTAXIS_SPIDER - QUANTAXIS 爬虫mod python/javascript/mongodb

  •    Python

QUANTAXIS 爬虫mod python/javascript/mongodb

QUANTAXIS_Strategy - QUANTAXIS 策略文档中心

  •    Python

菲阿里四价策略是一种通道突破方法,用过计算四个核心价格作为两条通道线的支撑,前一交易日最低价,前一交易日最高价,前一交易日收盘价和当前开盘价. 横盘是指价格波动幅度较小,没有明显的上涨或者下跌趋势,这时候市场的多空力量大致均衡.当出现横盘突破,及多空力量被打破的时候,表示一方动能较强,后市价格继续朝突破方向运动的趋势性更强.

Trady - Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading

  •    CSharp

Trady is a handy library for computing technical indicators, and targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0. This library is a hobby project, and would probably making breaking changes, use with care when in production.