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Victor Grau Serrat
27 lines
1.3 KiB
ReStructuredText
27 lines
1.3 KiB
ReStructuredText
Resources
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=========
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- `Catalyst Whitepaper <https://www.enigma.co/enigma_catalyst.pdf>`_
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Related 3rd Party APIs
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^^^^^^^^^^^^^^^^^^^^^^
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- `Zipline <http://www.zipline.io/appendix.html>`_ is a Pythonic Algorithmic
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Trading Library, and the project Catalyst forked off in the spring of 2017.
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- `Quantopian <https://www.quantopian.com/help>`_ provides a platform for
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freelance quantitative analysts develop, test, and use trading algorithms to
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buy and sell securities. They aim to create a crowd-sourced hedge fund by
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fostering their community of freelance traders. Quantopian's backtesting and
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live-trading engine is powered by *Zipline*.
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- `Pandas <https://pandas.pydata.org/pandas-docs/stable/api.html>`_ is a Python
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library providing high-performance, easy-to-use data structures and data
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analysis tools. Catalyst relies heavily on pandas, and many API functions
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return data as Pandas dataframes.
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- `Numpy <https://docs.scipy.org/doc/numpy/reference/>`_ is the fundamental
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package for scientific computing with Python. Some of the data computation
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that your algorithms will need, will be optimized leveraging Numpy.
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- `Matplotlib <https://matplotlib.org/1.5.3/api/index.html>`_ is a Python 2D
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plotting library that many of examples rely on to plot the performance of
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trading algorithms
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