Reinforcement Learning for Trading Strategies
Completed by Geoffrey MacDonald
January 17, 2024
12 hours (approximately)
Geoffrey MacDonald'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: Applied Machine Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Machine Learning Software
- Category: Model Optimization
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Securities Trading
- Category: Model Deployment
- Category: Portfolio Management
- Category: Artificial Neural Networks
- Category: Risk Management
- Category: Markov Model
