Reinforcement Learning for Trading Strategies
Completed by David Celestino Colás Romanos
May 17, 2020
9 hours (approximately)
David Celestino Colás Romanos'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: Portfolio Management
- Category: Machine Learning Methods
- Category: Model Evaluation
- Category: Reinforcement Learning
- Category: Model Deployment
- Category: Markov Model
- Category: Financial Trading
- Category: Model Training
- Category: Time Series Analysis and Forecasting
- Category: Recurrent Neural Networks (RNNs)
- Category: Financial Market
