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Using Machine Learning in Trading and Finance に戻る

New York Institute of Finance 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

コースについて

This course is for finance professionals, investment management professionals, and traders. Alternatively, this Specialization can be for machine learning professionals who seek to apply their craft to trading strategies. At the end of the course you will be able to do the following: - Design basic quantitative trading strategies - Use Keras and Tensorflow to build machine learning models - Build a pair trading strategy prediction model and back test it - Build a momentum-based trading model and back test it To be successful in this course, you should have a basic competency in Python programming and familiarity with the Scikit Learn, Statsmodels and Pandas library. 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)....
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Using Machine Learning in Trading and Finance: 1 - 2 / 2 レビュー

by Saulo D S e R

Jan 14, 2020

You will learn concepts of trading and machine learning. But you will not implement strategies to learn how to transpose concepts between trading and ML. You'll be given ready codes, that barely uses what is thought in courses. In fact, the grading exercise for week three doesn't use in a clear way the concepts presented, and to be solved you'll need a new concept presented at the notebook. Do not waste you money in it.

by Esteban Z

Jan 17, 2020

One could basically get a very high grade just copying, pasting and clicking SHIFT + ENTER