Chevron Left
Back to Reinforcement Learning for Trading Strategies

Learner Reviews & Feedback for Reinforcement Learning for Trading Strategies by New York Institute of Finance

3.7
stars
195 ratings

About the Course

In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You will learn how RL has been integrated with neural networks and review LSTMs and how they can be applied to time series data. By the end of the course, you will be able to build trading strategies using reinforcement learning, differentiate between actor-based policies and value-based policies, and incorporate RL into a momentum trading strategy. 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)....

Top reviews

MS

Mar 5, 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.

RA

Feb 2, 2021

After the first two courses, this one grabs you into the reinforcement learning spectrum. This topic has been revealing to me and its applications to trading

Filter by:

1 - 25 of 55 Reviews for Reinforcement Learning for Trading Strategies

By Yutong X

Apr 27, 2020

By Jiaheng Z

May 3, 2020

By Nissims s

Feb 20, 2020

By Brian M Y

Mar 23, 2020

By Masa

Feb 22, 2020

By Colin E

Mar 1, 2020

By Abhinandan T N

Apr 16, 2020

By Jonathan G

Jul 6, 2020

By Josef K

Jul 10, 2020

By Vlasov V

Feb 18, 2021

By Chaojun L

May 17, 2020

By Mike S

Mar 6, 2020

By Manfred R

Mar 8, 2020

By Paolo D

Jul 17, 2021

By DeWitt G

May 23, 2020

By Yun Z L

Apr 12, 2020

By Grigoriy S

Mar 7, 2020

By David M

Sep 16, 2020

By J A M

Jul 19, 2020

By Steve H C F

Mar 15, 2020

By Mohammad A S ( S

Apr 7, 2020

By Biagio B

May 30, 2020

By Tony H

Oct 24, 2020

By Antony J

Nov 24, 2020

By Rene J R A

Feb 3, 2021