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Using Machine Learning in Trading and Finance に戻る

ニューヨーク金融金融研究所 による Using Machine Learning in Trading and Finance の受講者のレビューおよびフィードバック



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)....




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.



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!


Using Machine Learning in Trading and Finance: 76 - 83 / 83 レビュー

by Brendan K


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


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


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

by Vinayak T


This is a commercial for using the Google cloud platform.

by Novi K


idk why the code on notebook always get error

by Russell K


almost nothing to do with machine learning

by William L


terrible enviroment settings

by Alexander R