Quantopian Summer Lecture: The Good, the Bad, and the Correlated

Finding things that have moved similarly in the past can be a key part of predicting how things will move in the future. However, like most analysis techniques, correlation can fail when certain underlying conditions are not met. This lecture will cover correlation, how it is used in finance, and how you can use it to improve trading algorithms.

This is part of Quantopian’s Summer Lecture Series. We are currently developing a quant finance curriculum and will be releasing clone-able notebooks and algorithms to go along with this lecture.

As always, we will be serving pizza and cold beer.

Speaker Details

Delaney Granizo-Mackenzie will be presenting. Delaney is an engineer at Quantopian whose focus is on how Quantopian can be used as a teaching tool. After studying computer science at Princeton, Delaney joined Quantopian in 2014. Since then he has led successful course integrations at MIT Sloan and Stanford, and is planning on expanding to many more schools this fall. Delaney’s background includes 7 years of academic research at a bioinformatics lab, and a strong focus on statistics and machine learning.

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