Reinforcement Learning for Trading Strategies
Completed by Hung Wing Wong
February 29, 2020
12 hours (approximately)
Hung Wing Wong'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 Optimization
- Category: Financial Trading
- Category: Machine Learning Software
- Category: Recurrent Neural Networks (RNNs)
- Category: Machine Learning Methods
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Securities Trading
- Category: Portfolio Management
- Category: Reinforcement Learning
- Category: Model Deployment
- Category: Model Training
