{"repo":"LHanLi/FreeBack","free":true,"listed":false,"github":"https://github.com/LHanLi/FreeBack","clone":"git clone https://github.com/LHanLi/FreeBack.git","description":"高性能并行、事件驱动量化回测框架 high performance backtest，factor investing, portfiolio analysis","language":"Jupyter Notebook","stars":23,"topics":["backtesting","backtesting-frameworks","finance","investment","quantitive-finance"],"license":"GPL-3.0","category":"trading","readme_excerpt":"backtest，stock, option, future，factor investing, portfiolio analyis -----------------------Module------------------------ alpha ：截面因子测试 signal ：时序信号测试 strat ： 基于并行的择股和择时策略的回测 barbybar ：逐k线，逐笔成交的事件驱动回测 opt ：投资组合优化 post ： 后处理模块 display ： 可视化模块 my pd ：pandas常用操作 event ：事件信号测试 -----------------------INSTALL------------------------- 从pypi安装: pip install FreeBack 从github安装： pip3 install --upgrade --user git+https://github.com/LHanLi/FreeBack.git python setup.py develop ----------------------Hello world----------------------- -------------------- 联系作者 --------------------- 对于回测框架难以满足的个性化回测需求，可以联系作者。","default_branch":null,"files":null,"tree":[],"storefront":"/r/LHanLi","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/LHanLi/FreeBack/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}