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

3.6
stars
220 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

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51 - 64 of 64 Reviews for Reinforcement Learning for Trading Strategies

By Jair R

Jun 7, 2020

This content really is ahead of the Business As Usual.

Congrats!

By Sridhar S

Mar 9, 2021

Need more time to finish the ML model

By Edgar C C

Feb 23, 2021

Muy buen curso.!

By 李艳丹

Mar 25, 2020

perfect!

By Martin L

Jul 14, 2021

Provide the idea and method of RL for trading, but seems like less practice knowledge for the trading. hope can add more detail for for the trading build up. overall the course are good.

By Макс К

Oct 4, 2020

Great course, exactly what I was looking for! But there were some technical difficulties on practical tasks ...

By Gustav K F Y

Jul 1, 2022

I look forward to examples of integration of decision based on reinforcement learning and algo-trading logic

By RENATO V M S

Jul 13, 2021

A touhg and very advanced course, with an amazing Google Cloud Platform !!!!

By Deleted A

Apr 16, 2020

Nice with the RL classes, it is a bit random.

By Jakub K

Aug 28, 2020

I learned a few cool things. The main problem with this specialization is that the Machine Learning Stuff and Finance stuff are really separated (Google, NY univ). What I was looking for is the place where two concepts meets. Also i felt like ML stuff went too deeply too fast. Still... Cool Introduction.

By Aadam

Apr 2, 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.

By Oliver P

Aug 4, 2020

While there were a lot of interesting concepts in this course, I didn't feel that I learned a lot from it and certainly was nowhere near implementing what I wanted to. It pushes Google's cloud services so you're on your own if you want to program on your own computer. I've since completed a course by deeplearning.ai (not trading focussed) which I felt was a lot better, I learned a lot of theory to develop an understanding of what they're teaching as well as practical coding assignments that I felt I could actually take the code and apply to my own projects.

Google pushes its ability to learn from BigData but I really don't consider stock data to be BigData, at least if you're processing a single instrument/currency/stock at a time. If you're trying to go down to tick level data then you're going to have more problems with lag and execution making processing that amount of data a bit pointless... unless that's really really what you want/need to be doing.

To be fair to this course, it is good to know what is out there should it be suitable for your challenges and yeah, they can process a massive, huge, gigantic amount of data very quickly.

By David G

Jun 18, 2020

Few financial applications. RL is a complex notions. Exerices are too difficult.

By Noviyanti K

Jul 13, 2020

not really make me statisfied