We love the tutorial series that Harrison wrote, so his tutorials are now available on the updated Quantopian Tutorials page. His tutorial, called Algorithmic Trading, can be found here. A copy of the notebook for parts 4-8 is attached to this post.
Python for Finance
The Python for Finance series starts off with an introduction to using Python, Pandas, and Matplotlib to get, visualize, and manipulate stock data from public sources.
The series then moves to Quantopian where Harrison walks through building, researching, and analyzing trading strategies using several tools in the Quantopian API: Pipeline, Alphalens, Pyfolio, Optimize, Research, and the IDE. Specifically, the tutorial focuses on building up to a strategy that combines fundamental factors with a factor built on the Sentdex news sentiment dataset.
Algorithmic Trading on Quantopian
The videos for the Quantopian section of the tutorial can now be found here on Quantopian. A copy of the notebook for parts 4-8 is attached to this post.
The written version can be found on pythonprogramming.net.
Introduction to Python, Pandas, and Matplotlib
The first part of the series that introduces Python, Pandas, and Matplotlib can also be found on pythonprogramming.net.
Full credit goes to Harrison for making this tutorial and for sharing it with the Quantopian community!