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Отзывы учащихся о курсе Reinforcement Learning for Trading Strategies от партнера ???-???????? ???????? ????????

3.8
звезд
Оценки: 43
Рецензии: 10

О курсе

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: - Understand what reinforcement learning is and how trading is an RL problem - Build Trading Strategies Using Reinforcement Learning (RL) - Understand the benefits of using RL vs. other learning methods - Differentiate between actor-based policies and value-based policies - Incorporate RL into a momentum trading strategy 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)....

Лучшие рецензии

MS

Mar 06, 2020

It was easy to follow but not easy. I learned a lot and I now have the confidence to implement Reinforcement learning to my own FX trading strategies. Thank you so much.

GS

Mar 07, 2020

Great introduction to some very interesting concepts. Lots of hands on examples, and plenty to learn

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1–10 из 10 отзывов о курсе Reinforcement Learning for Trading Strategies

автор: Mike S

Mar 06, 2020

It was easy to follow but not easy. I learned a lot and I now have the confidence to implement Reinforcement learning to my own FX trading strategies. Thank you so much.

автор: Manfred R

Mar 08, 2020

I learned new perspectives of trading - great

автор: Grigoriy S

Mar 07, 2020

Great introduction to some very interesting concepts. Lots of hands on examples, and plenty to learn

автор: Steve H C F

Mar 15, 2020

Good course introducing concepts in RL. Wish course provided more examples of using RL in stock prediction.

автор: Colin E

Mar 01, 2020

It was ... OK. The lectures by the NYIF guy were immediately relevant to me, worth taking the course for. They should just have removed the Google stuff entirely and just started with an assumption of a basic knowledge of ML - just focus on the financial applications. So, bottom line: the good content is good, but mixed with a bunch of generic, time-wasting junk... that at least can be skipped over.

автор: Nissim

Feb 20, 2020

Disapponting.

Last project week 3 does not have any connection to the topic.

Most of week 3 lessons are hand waving general recommendations, not real teaching or discussions

I feel deceived.

автор: Masa

Feb 22, 2020

I do not recommend this course to my friends.

Exercises are not prepared to help learners to understand ML for Trading.

автор: 李艳丹

Mar 25, 2020

perfect!

автор: Aadam

Apr 02, 2020

It is geared more towards people who already have an understanding of the stock market and its lingo. Not much information about stock market lingo for a beginner.

автор: Brian M Y

Mar 23, 2020

Really general level concepts and does not go deep into the code of reinforcement models. The labs are scarce and not helpful at all.