DOC: Features

This commit is contained in:
Victor Grau Serrat
2017-10-20 08:27:36 -06:00
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.. include:: welcome.rst
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Table of Contents
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.. toctree::
:maxdepth: 1
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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 provided.
- Support for several of the top crypto-exchanges by trading volume.
- Input of historical pricing data of all crypto-assets by exchange,
with daily and minute resolution.
- 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.