Reinforcement Learning for Trading Strategies
Completed by King Hang Wong
May 14, 2023
12 hours (approximately)
King Hang 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: Markov Model
- Category: Financial Trading
- Category: Recurrent Neural Networks (RNNs)
- Category: Securities Trading
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Machine Learning Software
- Category: Artificial Neural Networks
- Category: Risk Management
- Category: Portfolio Management
- Category: Reinforcement Learning
- Category: Model Deployment
