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.
This course is part of the Machine Learning for Trading Specialization
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About this Course
Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will 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.
Skills you will gain
- Reinforcement Learning Model Development
- Reinforcement Learning Trading Algorithm Optimization
- Reinforcement Learning Trading Strategy Development
- Reinforcement Learning Trading Algo Development
Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSyllabus - What you will learn from this course
Introduction to Course and Reinforcement Learning
Neural Network Based Reinforcement Learning
Portfolio Optimization
Reviews
- 5 stars34.14%
- 4 stars25.36%
- 3 stars20%
- 2 stars7.80%
- 1 star12.68%
TOP REVIEWS FROM REINFORCEMENT LEARNING FOR TRADING STRATEGIES
Good course introducing concepts in RL. Wish course provided more examples of using RL in stock prediction.
The course covers broad and important topics on using AI for trading, but one will need to dig more quite extensively on alternative sources to deepen one's understanding
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.
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
About the Machine Learning for Trading Specialization

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