Reinforcement Learning for Trading Strategies
Completed by Mikhail Oksenenko
April 5, 2020
12 hours (approximately)
Mikhail Oksenenko'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: Artificial Neural Networks
- Category: Markov Model
- Category: Financial Trading
- Category: Portfolio Management
- Category: Reinforcement Learning
- Category: Model Deployment
- Category: Machine Learning Methods
- Category: Recurrent Neural Networks (RNNs)
- Category: Risk Management
- Category: Machine Learning Software
- Category: Model Training
- Category: Applied Machine Learning
