Reinforcement Learning for Trading Strategies
Completed by Pedro Pablo Severin Honorato
April 5, 2020
12 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: Portfolio Management
- Category: Machine Learning Software
- Category: Markov Model
- Category: Deep Learning
- Category: Model Training
- Category: Reinforcement Learning
- Category: Financial Trading
- Category: Applied Machine Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Artificial Neural Networks
