用于EagleEye3.0 规则集漏报和误报测试的示例项目,项目收集于github和gitee
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Welcome to StarQuant
==================
<p align="left">
<img src ="https://img.shields.io/badge/language-c%2B%2B%7Cpython-orange.svg"/>
<img src ="https://img.shields.io/badge/c%2B%2B-%3E11-blue.svg"/>
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[中文](README.md)
**StarQuant** is light-weighted, integrated algo-backtest/trade system/platform for individual trader, it is mainly used for future trading at present, stock and other commodity will be included in future.
## Features
* decoupled module design, namely strategy, marketdatafeed, trade run by different processes, communicate by message queue(nanomsg), low-latency(30 -100 microsenconds);
* event-driven based backtest system(same as vnpy), strategy bactested in python, run directly in live;support multiple data source, i.e. data can be loaded from MongoDB, CSV file; support multiple timescale data such as tick ,1min bar, 1h bar;
* support strategy parameter optimization through multi-process or genetic algorithm;
* marketdata record;
* simulated trading(paper brokerage);
* support multiple API and accounts, autoconnect/logout/reset, working in 7*24h;support self-defined instructions, such as cancel all; support local stop orders;
* strategy can be dynamically managed, i.e. init/start/stop/edit/remove at will;
* pyQt5 based GUI interface for monitoring and manual control;
* risk manage, flow control;
* realtime message notify through wechat(itchat) ...
## Architecture
C++ 11 based, client-server, event-driven, decoupled module design.
## Development Environment
Manjaro(arch,Linux 4.14),python 3.7.2,gcc 8.2, anaconda 5.2
**third party softwares:**
* boost 1.69
* nanomsg
* log4cplus
* yamlcpp
* libmongoc-1.0
* ...
**python modules:**
* pandas-datareader
* psutil
* pyyaml
* pyqt
* qdarkstyle
* tushare
* pyfolio
* itchat
* ...
## How to Run
compile files in cppsrc:
```
$ cd cppsrc
$ mkdir build
$ cd build
$ cmake ..
$ make
$ cp StarQuant/apiserver.exe ../../
```
start apiserver and gui, strategy, recorder:
```
$ ./apiserver
```
```
$ python gui.py
$ python strategy.py
$ python recorder.py
```
## User Guide
To be continued
## Demo
![ ](demos/livepro.png "trade mode")
![](demos/bt3.png "backtest mode")
![ ](demos/btpro2.png "backtest results ")
## Current State
Currently StarQuant is under test, v1.0-alpha version has been released.