Reinforcement Learning for Trading Strategies
Completed by CHARLES EDOUARD COHEN
February 8, 2021
12 hours (approximately)
CHARLES EDOUARD COHEN'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: Machine Learning Software
- Category: Markov Model
- Category: Reinforcement Learning
- Category: Model Evaluation
- Category: Deep Learning
- Category: Portfolio Management
- Category: Machine Learning Methods
- Category: Recurrent Neural Networks (RNNs)
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Financial Trading
- Category: Model Training
