Reinforcement Learning for Trading Strategies
Completed by Michael Kane
March 24, 2020
12 hours (approximately)
Michael Kane'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: Portfolio Management
- Category: Model Optimization
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Recurrent Neural Networks (RNNs)
- Category: Financial Trading
- Category: Model Training
- Category: Machine Learning Software
- Category: Markov Model
- Category: Reinforcement Learning
- Category: Model Deployment
- Category: Machine Learning Methods
