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Отзывы учащихся о курсе Using Machine Learning in Trading and Finance от партнера Нью-Йоркский институт финансов

3.9
звезд
Оценки: 218
Рецензии: 52

О курсе

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)....

Лучшие рецензии

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 из 52 отзывов о курсе Using Machine Learning in Trading and Finance

автор: 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.

автор: 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.

автор: 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.

автор: 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.

автор: 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.

автор: 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.

автор: Esteban Z

May 25, 2020

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

автор: 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.

автор: Lina T

Feb 09, 2020

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

автор: Chien-Fu L

Jan 19, 2020

really good course to capture most ideas in machine trading

автор: Samuel T

Jan 18, 2020

Great crouse, with very focused material.

автор: 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

автор: 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 :-(

автор: 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

автор: Colin E

Feb 11, 2020

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

автор: Dennis T

Jan 22, 2020

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

автор: Kumar S

Feb 08, 2020

Video lectures were good. Expected better material for lab

автор: Manfred R

Mar 08, 2020

very informative!!!!

автор: 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.

автор: 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"

автор: Esteban R F

Feb 28, 2020

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

автор: 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).

автор: 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.

автор: 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

автор: 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.