GitHub - so-called-quant/RTA: An algorithmic trading platform including backtesting, indicators

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An algorithmic trading platform including backtesting, indicators

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Name		Name	Last commit message	Last commit date
Latest commit History 51 Commits
bin		bin
data		data
docs		docs
js		js
rta		rta
tests		tests
web		web
.gitignore		.gitignore
README		README
manage.py		manage.py
requirements.txt		requirements.txt
setup.py		setup.py

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  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