Python quantitative trading and investment platform
- Project Introduction
- Participation
- Installation
- Development Environment
- Architecture Diagram
- Todo List
EliteQuant is an open source forever free unified quant trading platform built by quant traders, for quant traders. It is dual listed on both github and gitee.
The word unified carries two features.
- First it’s unified across backtesting and live trading. Just switch the data source to play with real money.
- Second it’s consistent across platforms written in their native langugages. It becomes easy to communicate with peer traders on strategies, ideas, and replicate performances, sparing language details.
Related projects include
- A list of online resources on quantitative modeling, trading, and investment
- C++
- Python
- Matlab
- R
- C#
- Excel
- Java
- Scala
- Go
- Julia
Please feel free to report issues, fork the branch, and create pull requests. Any kind of contributions are welcomed and appreciated. Through shared code architecture, it also helps traders using other languges.
No installation is needed, it's ready for use out of box. Just download the code and enjoy.
Below is the environment we are using
- Anaconda Python 3.6
- PyCharm Community version 2017.2.4
