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A augorithmic trading platform including backtesting, indicators
This project forked from javagg/rta
A augorithmic trading platform including backtesting, indicators
____ _____ _ _ _ _ _ _ | _ \_ _|/ \ / \ | | __ _ ___ _ __(_) |_| |__ _ __ ___ | |_) || | / _ \ _____ / _ \ | |/ _` |/ _ \| '__| | __| '_ \| '_ ` _ \ | _ < | |/ ___ \ |_____| / ___ \| | (_| | (_) | | | | |_| | | | | | | | | |_| \_\|_/_/ \_\ /_/ \_\_|\__, |\___/|_| |_|\__|_| |_|_| |_| |_| |___/ --------------------------------------------------------------------------------------- Goals ------------ This is an algorithmic trading platform for professional traders. It providers technical analysis of 200+ popular indicators and trading signals. You can program your trading strategies and backtest them against historical data. Technology stack ---------------- 1. Flask for back-end api Python is known for its ease of use and best ecosystem in scientific field. It really shines when u use Numpy, Pandas and Pytables for large computational work. I see python a perfect fit in financial world. 2. client-side MVC: Backbone.js and Brunch Node and client-side MVC framework have become popular over the recent years. so i thought of giving it a try ( which is excellent till now. ). Brunch is used for automatic compiling of coffeescript files and serve them in dev mode. How to Run: 1. start mongodb 2. $] cd js && brunch watch $] python manage.py runserver $] open http://localhost:3000
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