DOC: Resources page

docs/source/index.rst

@@ -12,6 +12,7 @@ Table of Contents
    live-trading
    naming-convention
    videos
+   resources
    development-guidelines
    releases
 ..   bundles

docs/source/resources.rst

@@ -0,0 +1,26 @@
+Resources
+=========
+
+-  `Catalyst Whitepaper <https://www.enigma.co/enigma_catalyst.pdf>`_ 
+
+
+Related 3rd Party APIs
+^^^^^^^^^^^^^^^^^^^^^^
+
+- `Zipline <http://www.zipline.io/appendix.html>`_ is a Pythonic Algorithmic 
+  Trading Library, and the project Catalyst forked off in the spring of 2017.
+- `Quantopian <https://www.quantopian.com/help>`_ provides a platform for 
+  freelance quantitative analysts develop, test, and use trading algorithms to 
+  buy and sell securities. They aim to create a crowd-sourced hedge fund by
+  fostering their community of freelance traders. Quantopian's backtesting and 
+  live-trading engine is powered by *Zipline*.
+- `Pandas <https://pandas.pydata.org/pandas-docs/stable/api.html>`_ is a Python
+  library providing high-performance, easy-to-use data structures and data 
+  analysis tools. Catalyst relies heavily on pandas, and many API functions 
+  return data as Pandas dataframes.
+- `Numpy <https://docs.scipy.org/doc/numpy/reference/>`_ is the fundamental 
+  package for scientific computing with Python. Some of the data computation 
+  that your algorithms will need, will be optimized leveraging Numpy.
+- `Matplotlib <https://matplotlib.org/1.5.3/api/index.html>`_ is a Python 2D 
+  plotting library that many of examples rely on to plot the performance of 
+  trading algorithms