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

3.9
stars
322 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

BY

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.

MM

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!

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76 - 89 of 89 Reviews for Using Machine Learning in Trading and Finance

By Ilia K

Feb 24, 2023

The labs are junk. Half of them are broken, some of them are missing. Those that are working, are not good enough.

By Nitin K

Nov 10, 2020

One of the instructor from Google Cloud just reads the slide instead of giving much insight.

By David G

Jun 21, 2022

This quite a low effort course. Some labs are just copy/pastes of blog posts. The "QwikLabs" are slow and painful to use, and most of them don't work anymore because they use Python packages that haven't been updated in many years.

And at no point do they actually demonstrate a strategy that shows any promise in the real world. Just vague talk of "hedging market risk" without evidence of anything performing better than chance. I have a funny feeling this is all an exercise in being fooled by randomness.

By Chris C

Mar 17, 2021

I understand that this course is not about building the world's best high frequency trading model. On the other hand, it should at least be about making a serious attempt to build a trading model, which is something the series of courses has so far neglected to even attempt.

By Brendan K

Jul 25, 2022

You should stop offering this course if you are not going to fix that Auquan no longer works. The code fix you suggested for the Yahoo Finance changes no longer works. Please see the discussion boards because this is true for many people.

By masoud g

Feb 16, 2021

It was not as practical as I thought.

In this course, complete contents are not expressed and it is necessary to search for topics.

Access to the lab is difficult to code. And coding exercises are not purposeful

By Andrew H

Apr 19, 2020

Needs actual exercises. All of the programming examples are pre-written or copy/paste. No real hand on learning opportunities.

By Souvik D

Jan 14, 2023

Almost all of the code that uses Auquan doesn't work. This course is deprecated.

By Vinayak T

Sep 3, 2021

This is a commercial for using the Google cloud platform.

By Novi 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 William L

May 25, 2022

terrible enviroment settings

By Red R

Nov 10, 2022

Labs Malfunction

By Alexander R

Jun 7, 2020

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