Chevron Left
Back to Using Machine Learning in Trading and Finance

Learner Reviews & Feedback for Using Machine Learning in Trading and Finance by New York Institute of Finance

319 ratings

About the Course

This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading. By the end of the course, you will be able to design basic quantitative trading strategies, build machine learning models using Keras and TensorFlow, build a pair trading strategy prediction model and back test it, and build a momentum-based trading model and back test it. To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL is recommended. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging)....

Top reviews


Dec 16, 2020

This the best online course I've ever joined, very practical, and could be able to implement in the real world with your own thoughts plus the hints from the course.


Apr 30, 2020

This course was great!!! I think they skipped over a lot so it takes a lot of time to learn the details of the skills. But it definitely gives you the tools needed!

Filter by:

1 - 25 of 87 Reviews for Using Machine Learning in Trading and Finance

By Saulo D S R

Jan 14, 2020

By Jiaheng Z

Jan 17, 2020

By Loo T T

Mar 26, 2020

By Dewald O

Feb 13, 2020

By Peixi Z

Jan 18, 2020

By Esteban Z

May 25, 2020

By John N

Feb 3, 2020

By Rodney F

Feb 2, 2020

By Lina T

Feb 9, 2020

By dick l

Jan 19, 2020

By Samuel T

Jan 17, 2020

By ThemisZ

Feb 4, 2020

By Nissims s

Jan 27, 2020

By Marcos F

Jan 20, 2020

By Colin E

Feb 11, 2020

By Dennis T

Jan 21, 2020

By Kumar S

Feb 8, 2020

By Manfred R

Mar 8, 2020

By DeWitt G

May 18, 2020

By Hmei D

May 31, 2020

By betty y

Dec 17, 2020

By Mike M

May 1, 2020

By Patrick L

Feb 29, 2020

By Yun Z L

Apr 10, 2020

By Esteban R F

Feb 28, 2020