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Reinforcement Learning for Trading Strategies

Reinforcement Learning for Trading Strategies

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8.1/10 (Our Score)
Product is rated as #250 in category Machine Learning

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).

Instructor Details

Jack specializes in training and consulting solutions for portfolio risk management, FX and interest rate derivatives and trading, equity index and volatility trading, equity derivatives and structured equity products, financial statement analysis and hedge accounting.

Specification: Reinforcement Learning for Trading Strategies

Duration

13 hours

Year

2020

Level

Intermediate

Certificate

Yes

Quizzes

Yes

8 reviews for Reinforcement Learning for Trading Strategies

3.0 out of 5
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  1. Nissim

    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.

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  2. Masa

    I do not recommend this course to my friends. Exercises are not prepared to help learners to understand ML for Trading.

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  3. Colin E

    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.

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  4. Mike S

    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.

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  5. Grigoriy S

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

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  6. Manfred R

    I learned new perspectives of trading great

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  7. Steve H C F

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

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  8. Brian M Y

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

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    Reinforcement Learning for Trading Strategies
    Reinforcement Learning for Trading Strategies

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