Reinforcement Learning for Trading Strategies
Completed by Yang Li
December 15, 2024
12 hours (approximately)
Yang Li'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: Reinforcement Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Optimization
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Financial Trading
- Category: Markov Model
- Category: Model Deployment
- Category: Machine Learning Methods
- Category: Portfolio Management
- Category: Applied Machine Learning
- Category: Machine Learning Software
