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Learner Reviews & Feedback for Using Machine Learning in Trading and Finance by New York Institute of Finance
358 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
PL
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The course is inspiring. It gave me another perspective of learning trading not just for Machine Learning also for day to day trading algorithm.
CE
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The material is immediately useful and highly practical for people already in financial services.
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101 - 107 of 107 Reviews for Using Machine Learning in Trading and Finance
By Noviyanti K
•Jun 26, 2020
idk why the code on notebook always get error
By Russell K
•Jun 19, 2020
almost nothing to do with machine learning
By Philipp L
•Mar 6, 2024
Notebooks are outdated and don't run!
By William L
•May 25, 2022
terrible enviroment settings
By KG
•Apr 9, 2024
lab 3 and 4 don't work
By Red R
•Nov 10, 2022
Labs Malfunction
By Alexander R
•Jun 7, 2020
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