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

3.9
stars
341 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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51 - 75 of 97 Reviews for Using Machine Learning in Trading and Finance

By Nikitin A

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Jan 2, 2022

Such a great course, the introduction(first part in specialization) was kinda useless for me, but this one is amazing.

By Edgar C C

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Apr 7, 2021

Excelente curso. Se entiende el uso del Machine Learning en Trading y Finanza..!

By Guilherme S S C

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Apr 10, 2020

Very Good! Basic strategies explored in depth and applied in coding labs.

By Martin L

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Jul 14, 2021

Great course for the trading, clear structure and easy to understand.

By Sridhar S

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Feb 24, 2021

In GCP getting error while importing the data from Yahoo finance.

By Nicolas M

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Mar 18, 2020

Very good course. Applications are very useful and understandable

By Karthikeyan J

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Feb 27, 2021

good explanation of concepts and application of concepts

By Branderson A

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Nov 8, 2021

Excelente curso muy interactivo y explica muy bien

By MOUAFEK A

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Mar 21, 2021

Thank you for this amazing content =)

By Ghazi H

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Mar 21, 2024

Really informative

By Andree M I A D l C

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Apr 29, 2021

LOVEEEEEE IT!!

By Emma A

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Feb 4, 2021

Thanks! - Emma

By belachkar a

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Apr 19, 2020

Great content

By Muhammad Z H

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Jul 26, 2020

Thank

By Rishika S

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Jul 6, 2020

Great

By Paolo D

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Jul 17, 2021

I've found this course quite interesting because it makes you apply the theory explained in the lessons in the various labs both in the trading part and the Deep Learning part. Having been exposed to PyTorch previously I found Tensorflow and Keras intuitive and easy to use. The APIs are fairly similar. Even though the part about the trading strategies was treated not in-depth, I've enjoyed the labs and learned a lot from it, and got lots of inputs for future possible strategies. One downside of this course is the library used for backtesting, I wasn't able to download the data using the library, maybe because the notebooks weren't up to date with the library or the library has an undiscovered bug. Despite this little hindrance, the notebooks are really valuable!

By Matthew S

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Mar 4, 2020

I found this course to be valuable. The tour into pairs trading, PCA, and scree plots was especially good. This course offers a guided tour of machine learning in finance, which is exactly what I sought. The Week 3 lab needs to be improved. I just completed it, and found it to be the worse lab of the two courses I have taken for this specialization. I left a full review about that lab. Unfortunately, with this lab in place, this course only deserves 4 starts.

By tsvi l

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Oct 10, 2020

The combination of GCP+Tensorflow+Keras+Auquan+Theory is very attractive, but it is too much to cram into a single course. I thought it would be much deeper on the financial theory side. The Auquan part is directly useful as one needs a good backtesting tool and this is probably the best/only one. But I do not necessarily need Keras/TF and I definitely do not need GCP details so much, as I may end up using a different cloud and ML library.

By Umendra C

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Apr 5, 2020

There are some good trading strategy concepts introduced in this course. However, the link between trading strategy and ML is superficial. Maybe, if the course part related to ML and GCP is taken out, this course would be a sure 5-start worth.

By Andrey P

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Jul 7, 2021

It's not deep enough to understand how to implement ML in algorithmic trading, but the course explains some helpful concepts like pairs trading and Kalmar filter.

By Gustav K F Y

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Jun 28, 2022

Although the often glitches in the Google Cloud platform prevented me to complete the exercises, the course material is very useful.

By David C C R

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Apr 19, 2020

Useful for people who have previous knowledge of coding and trading basics. I get a lot of ideas from this course. I will recommend.

By RENATO V M S

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Jul 10, 2021

The concepts and algorithms are great. Unfortunately, the last 4 Jupyter Notebooks of the course did not work !!!!!

By Oleksii K

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Nov 15, 2021

If that unrelated Google Cloud part were thrown away, it would be a decent course.

By Alex n

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Sep 16, 2023

Issues with the lab coursers and practices must be resolve they are not updated