From 3a48bbf1bee5b616f2873496b36095f5c2f216d7 Mon Sep 17 00:00:00 2001 From: Zhe Wang Date: Sat, 11 Dec 2021 23:09:24 +0000 Subject: [PATCH] add Rob Carver book code --- Readme.md | 1 + 1 file changed, 1 insertion(+) diff --git a/Readme.md b/Readme.md index 4cc90ef..4cf5b66 100644 --- a/Readme.md +++ b/Readme.md @@ -56,6 +56,7 @@ Please raise a PR if you found some good fit projects for this repo or remove so - [QuantConnect](https://github.com/QuantConnect/Lean) | `C#`, `.NET` | - Lean Algorithmic Trading Engine by QuantConnect (Python, C#) - [QUANTAXIS](https://github.com/QUANTAXIS/QUANTAXIS) | `Python` | - QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案 - [Rqalpha](https://github.com/ricequant/rqalpha) | `Python` | - A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities +- [pysystemtrade](https://github.com/robcarver17/pysystemtrade) | `Python` | - Systematic Trading in python from book by Rob Carver - [vectorbt](https://github.com/polakowo/vectorbt) | `Python`, `numba` | - vectorbt takes a novel approach to backtesting: it operates entirely on pandas and NumPy objects, and is accelerated by Numba to analyze any data at speed and scale. This allows for testing of many thousands of strategies in seconds. - [vnpy](https://github.com/vnpy/vnpy) | `Python`, `Stock`, `Futures`, `Crypto` | - Python-based open source quantitative trading system development framework, officially released in January 2015, has grown step by step into a full-featured quantitative trading platform - [zvt](https://github.com/zvtvz/zvt) | `Python`, `Stock`, `Backtest` | - Modular quant framework