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Kursteilnehmer-Bewertung und -Feedback für Using Machine Learning in Trading and Finance von New York Institute of Finance

Über den Kurs

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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1 - 7 von 7 Bewertungen für Using Machine Learning in Trading and Finance

von 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.

von Chien-Fu L

Jan 19, 2020

really good course to capture most ideas in machine trading

von Samuel T

Jan 18, 2020

Great crouse, with very focused material.

von Marcos F

Jan 20, 2020

Very informative. I does not go too much in details but you get a lot of insight about trading and using ML in trading strategies

von Esteban Z

Jan 17, 2020

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

von Jiaheng Z

Jan 17, 2020

Hardly learned anything from this course, many lectures are not informative, fulfilled with wordy guidance and coding labs are not actually telling about any insights, just show me the codes...

Worst and most time-wasting courses after taking 13 courses here.

von Peixi Z

Jan 19, 2020

The contents are not organized at all the lab work has occasional bugs that are clearly due to oversight. Most importantly, the labs are not very closely related to the lectures. I would not recommend doing this series.