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Comentários e feedback de alunos de Using Machine Learning in Trading and Finance da instituição New York Institute of Finance

294 classificações
76 avaliações

Sobre o curso

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)....

Melhores avaliações


16 de dez de 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.


30 de abr de 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!

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76 — 80 de 80 Avaliações para o Using Machine Learning in Trading and Finance

por Vinayak T

3 de set de 2021

This is a commercial for using the Google cloud platform.

por Novi K

26 de jun de 2020

idk why the code on notebook always get error

por Russell K

19 de jun de 2020

almost nothing to do with machine learning

por William L

25 de mai de 2022

terrible enviroment settings

por Alexander R

7 de jun de 2020