Reinforcement Learning for Trading Strategies
Completed by Arnaud Laroche
April 18, 2022
12 hours (approximately)
Arnaud Laroche'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: Recurrent Neural Networks (RNNs)
- Category: Securities Trading
- Category: Markov Model
- Category: Financial Trading
- Category: Machine Learning Methods
- Category: Machine Learning Software
- Category: Applied Machine Learning
- Category: Model Training
- Category: Reinforcement Learning
- Category: Model Deployment
- Category: Portfolio Management
- Category: Artificial Neural Networks
