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<div class="section" id="resources">
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<h1>Resources<a class="headerlink" href="#resources" title="Permalink to this headline">¶</a></h1>
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<ul class="simple">
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<li><a class="reference external" href="https://www.enigma.co/enigma_catalyst.pdf">Catalyst Whitepaper</a></li>
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<div class="section" id="related-3rd-party-apis">
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<h2>Related 3rd Party APIs<a class="headerlink" href="#related-3rd-party-apis" title="Permalink to this headline">¶</a></h2>
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<ul class="simple">
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<li><a class="reference external" href="http://www.zipline.io/appendix.html">Zipline</a> is a Pythonic Algorithmic
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Trading Library, and the project Catalyst forked off in the spring of 2017.</li>
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<li><a class="reference external" href="https://www.quantopian.com/help">Quantopian</a> 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 <em>Zipline</em>.</li>
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<li><a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/api.html">Pandas</a> 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.</li>
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<li><a class="reference external" href="https://docs.scipy.org/doc/numpy/reference/">Numpy</a> 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.</li>
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<li><a class="reference external" href="https://matplotlib.org/1.5.3/api/index.html">Matplotlib</a> 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</li>
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</ul>
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© Copyright 2018, Enigma MPC, Inc..
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