Google Cloud
Reinforcement Learning for Trading Strategies
Google Cloud

Reinforcement Learning for Trading Strategies

This course is part of Machine Learning for Trading Specialization

Taught in English

Some content may not be translated

Jack Farmer

Instructor: Jack Farmer

16,759 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

3.6

(221 reviews)

Intermediate level

Recommended experience

12 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the structure and techniques used in reinforcement learning (RL) strategies.

  • Understand the benefits of using RL vs. other learning methods.

  • Describe the steps required to develop and test an RL trading strategy.

  • Describe the methods used to optimize an RL trading strategy.

Details to know

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Course

Gain insight into a topic and learn the fundamentals

3.6

(221 reviews)

Intermediate level

Recommended experience

12 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Machine Learning for Trading Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

In this module, reinforcement learning is introduced at a high level. The history and evolution of reinforcement learning is presented, including key concepts like value and policy iteration. Also, the benefits and examples of using reinforcement learning in trading strategies is described. We also introduce LSTM and AutoML as additional tools in your toolkit to use in implementing trading strategies.

What's included

10 videos1 reading1 app item

In the previous module, reinforcement learning was discussed before neural networks were introduced. In this module, we look at how reinforcement learning has been integrated with neural networks. We also look at LSTMs and how they can be applied to time series data.

What's included

9 videos2 app items

In this module we discuss the practical steps required to create a reinforcement learning trading system. Also, we introduce AutoML, a powerful service on Google Cloud Platform for training machine learning models with minimal coding.

What's included

10 videos1 app item

Instructor

Instructor ratings
4.0 (32 ratings)
Jack Farmer
New York Institute of Finance
13 Courses115,655 learners

Offered by

Google Cloud

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3.6

221 reviews

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    14.93%

RA
5

Reviewed on Feb 2, 2021

SA
4

Reviewed on Mar 10, 2020

GS
5

Reviewed on Mar 6, 2020

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