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Opiniones y comentarios de aprendices correspondientes a Using Machine Learning in Trading and Finance por parte de Instituto de Finanzas de Nueva York

3.9
estrellas
172 calificaciones
45 revisiones

Acerca del Curso

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)....

Principales revisiones

MM

May 01, 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!

PL

Feb 29, 2020

The course is inspiring. It gave me another perspective of learning trading not just for Machine Learning also for day to day trading algorithm.

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1 - 25 de 45 revisiones para Using Machine Learning in Trading and Finance

por 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.

por 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.

por Dewald O

Feb 13, 2020

The course content for financial terms and explanation behind them and strategies are fine. When it comes to the grading tools these are FAR below par. Zero explanation on what the code means and zero implementation of the actual strategies discussed during the course content. The videos explaining the grading tools are also about 5 years old and have been recycled.

por 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.

por John N

Feb 03, 2020

Good introduction to trading concepts, but the quality of the labs is poor. Week 3 was the worst where the labs feel disconnected from the lessons.

por Esteban Z

May 25, 2020

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

por Rodney F

Feb 03, 2020

A lot of great examples. Thanks for the introduction and access to all of the Auquan tutorials. This class's major feature is that it introduces to the wealth of information available and points the way to study more.

por Lina T

Feb 09, 2020

Very interesting course with integrated notebooks to learn concepts of how to apply machine learning to trading and finance

por Chien-Fu L

Jan 19, 2020

really good course to capture most ideas in machine trading

por Samuel T

Jan 18, 2020

Great crouse, with very focused material.

por ThemisZ

Feb 04, 2020

The lectures and labs were very good, thanks to all the Google and NYI of Finance folks who worked on them

-1 star for not making ppt/pdf notes available (or did I miss the links???) , I think most of us want to learn AND then come back for refreshers/reference in future. Wouldnt want to go through all the video lectures all the time, its time wasting

por Nissim

Jan 27, 2020

I enjoyed the course. Well organized, Good topics.

I miss more projects, higher challenge in the projects. (more TODO)

There was no practice of Kalman filters.

links on the slides are not accessible :-(

por 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

por Colin E

Feb 11, 2020

The material is immediately useful and highly practical for people already in financial services.

por Dennis T

Jan 22, 2020

Lots of material in a very short time, especially on momentum trading.

por Kumar S

Feb 08, 2020

Video lectures were good. Expected better material for lab

por Manfred R

Mar 08, 2020

very informative!!!!

por Loo T T

Mar 27, 2020

The content is fine, but the lab does not demonstrate any of the concepts in the lectures. E.g. in pairs trading they talked about hierarchical clustering and PCA but both of these were not discussed at all in the lab.

First module talked about Tensorflow Estimator API, but does not show how they are applied in subsequent modules. They just don't flow together as a course at all. At some point, it seems to be videos taken from different places to form a course. This collaboration was not well planned at all. The course should also be accompanied with more detailed readings.

2 labs in pairs trading and momentum trading are taken directly from Auquan. They would be better off just reading directly from Auquan instead of paying for this course.

por Patrick L

Feb 29, 2020

The course is inspiring. It gave me another perspective of learning trading not just for Machine Learning also for day to day trading algorithm.

por Yun Z L

Apr 11, 2020

The theories are good and very insightful. However, the labs fall short by far. Instead of step by step instructions with hands-on TODOs, it's just a clone of auquan tutorials in github and tell you to "have a go"

por Esteban R F

Feb 28, 2020

Very interesting insights and new tools learned to improve trading algos and make smarter quantitative strategies

por Kris B

Mar 17, 2020

Some confusions in the quiz questions. Maybe it would be worth to review/ reformulate questions to make them clearer and more understandable. Some parts in the training are long “monologues”. It would be nice to add mode explicative slides concerning the discussed topic (less boring and better memorization for students).

por Piero R

May 14, 2020

Labs are not updated and some codes doesnt work, making the whole practical part USELESS. otherwise the course gives you good theorical knowledge.

por Naren T

Mar 26, 2020

The audio for every lecture is horrible. Especially the coding solution lectures. The lab assignments are not engaging and poorly executed. A very disappointing course

por DeWitt G

May 18, 2020

Really appreciate the learning and knowledge around the strategies and theory. I do wish I could see these strategies performing in the market and see how they actually interface with trading APIs and trade in a live market.