.. image:: https://s3.amazonaws.com/enigmaco-docs/enigma-catalyst.jpg
|
Catalyst is a data-driven crypto investment platform. It supports both 
backtesting and live-trading in a number of different crypto-exchanges. 
Catalyst empowers users to share and curate data and build profitable, 
data-driven investment strategies.

Features
========

-  Ease of use: Catalyst tries to get out of your way so that you can 
   focus on algorithm development. See 
   `examples of trading strategies <https://github.com/enigmampc/catalyst/tree/master/catalyst/examples>`_ 
   provided.
-  Support for several of the top crypto-exchanges by trading volume:
   `Bitfinex <https://www.bitfinex.com>`_, `Bittrex <http://www.bittrex.com>`_,
   and `Poloniex <https://www.poloniex.com>`_. 
-  Secure: You and only you have access to each exchange API keys for your accounts.
-  Input of historical pricing data of all crypto-assets by exchange, 
   with daily and minute resolution. See 
   `Catalyst Market Coverage Overview <https://www.enigma.co/catalyst/status>`_.
-  Backtesting and live-trading functionality, with a seamless transition
   between the two modes.
-  Output of performance statistics are based on Pandas DataFrames to 
   integrate nicely into the existing PyData eco-system.
-  Statistic and machine learning libraries like matplotlib, scipy, 
   statsmodels, and sklearn support development, analysis, and 
   visualization of state-of-the-art trading systems.