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

4.0
звезд
Оценки: 280
Рецензии: 72

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

BY
16 дек. 2020 г.

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.

MM
30 апр. 2020 г.

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!

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1–25 из 75 отзывов о курсе Using Machine Learning in Trading and Finance

автор: Saulo D S e R

14 янв. 2020 г.

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

17 янв. 2020 г.

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: Loo T T

26 мар. 2020 г.

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: Dewald O

13 февр. 2020 г.

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

18 янв. 2020 г.

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: Esteban Z

25 мая 2020 г.

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

автор: John N

3 февр. 2020 г.

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: Rodney F

2 февр. 2020 г.

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

9 февр. 2020 г.

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

автор: dick l

19 янв. 2020 г.

really good course to capture most ideas in machine trading

автор: Samuel T

17 янв. 2020 г.

Great crouse, with very focused material.

автор: ThemisZ

4 февр. 2020 г.

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: Nissims s

27 янв. 2020 г.

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

20 янв. 2020 г.

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

11 февр. 2020 г.

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

автор: Dennis T

21 янв. 2020 г.

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

автор: Kumar S

8 февр. 2020 г.

Video lectures were good. Expected better material for lab

автор: Manfred R

8 мар. 2020 г.

very informative!!!!

автор: DeWitt G

18 мая 2020 г.

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.

автор: Hmei D

31 мая 2020 г.

It is an Excellent course with concise financial trading strategies and fit-for-purpose python programming. Really enjoyed it. Thank you Instructors for the professional teaching and guide. Would surely recommend.

автор: betty y

17 дек. 2020 г.

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.

автор: Mike M

1 мая 2020 г.

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!

автор: Patrick L

29 февр. 2020 г.

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

10 апр. 2020 г.

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

28 февр. 2020 г.

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