Reinforcement Learning for Trading Strategies
Completed by Pedro Pablo Severin Honorato
April 5, 2020
9 hours (approximately)
Pedro Pablo Severin Honorato's account is verified. Coursera certifies their successful completion of Reinforcement Learning for Trading Strategies
What 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
- Category: Model Training
- Category: Reinforcement Learning
- Category: Artificial Neural Networks
- Category: Financial Trading
- Category: Markov Model
- Category: Deep Learning
- Category: Portfolio Management
- Category: Applied Machine Learning
- Category: Machine Learning Software
- Category: Recurrent Neural Networks (RNNs)
