Reinforcement Learning for Trading Strategies
Completed by Chawit Chaijirawiwat
March 20, 2024
12 hours (approximately)
Chawit Chaijirawiwat'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: Recurrent Neural Networks (RNNs)
- Category: Markov Model
- Category: Financial Trading
- Category: Machine Learning Software
- Category: Portfolio Management
- Category: Model Training
- Category: Reinforcement Learning
- Category: Model Deployment
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Securities Trading
- Category: Model Optimization
