mirror of
https://github.com/wassname/catalyst.git
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Victor Grau Serrat
28 lines
1.4 KiB
ReStructuredText
28 lines
1.4 KiB
ReStructuredText
.. image:: https://s3.amazonaws.com/enigmaco-docs/enigma-catalyst.jpg
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Catalyst is a data-driven crypto investment platform. It supports both
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backtesting and live-trading in a number of different crypto-exchanges.
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Catalyst empowers users to share and curate data and build profitable,
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data-driven investment strategies.
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Features
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========
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- Ease of use: Catalyst tries to get out of your way so that you can
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focus on algorithm development. See
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`examples of trading strategies <https://github.com/enigmampc/catalyst/tree/master/catalyst/examples>`_
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provided.
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- Support for several of the top crypto-exchanges by trading volume:
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`Bitfinex <https://www.bitfinex.com>`_, `Bittrex <http://www.bittrex.com>`_,
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and `Poloniex <https://www.poloniex.com>`_.
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- Secure: You and only you have access to each exchange API keys for your accounts.
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- Input of historical pricing data of all crypto-assets by exchange,
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with daily and minute resolution. See
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`Catalyst Market Coverage Overview <https://www.enigma.co/catalyst/status>`_.
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- Backtesting and live-trading functionality, with a seamless transition
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between the two modes.
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- Output of performance statistics are based on Pandas DataFrames to
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integrate nicely into the existing PyData eco-system.
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- Statistic and machine learning libraries like matplotlib, scipy,
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statsmodels, and sklearn support development, analysis, and
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visualization of state-of-the-art trading systems. |