Reinforcement Learning for Trading Strategies
Completed by JOSEF KERNER
July 9, 2020
9 hours (approximately)
JOSEF KERNER'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: Model Deployment
- Category: Model Training
- Category: Time Series Analysis and Forecasting
- Category: Portfolio Management
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Artificial Neural Networks
- Category: Markov Model
- Category: Financial Trading
- Category: Applied Machine Learning
- Category: Recurrent Neural Networks (RNNs)
