Reinforcement Learning for Trading Strategies
Completed by Salvador Santos Enriquez
March 7, 2020
12 hours (approximately)
Salvador Santos Enriquez'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: Machine Learning Software
- Category: Model Optimization
- Category: Markov Model
- Category: Financial Trading
- Category: Artificial Neural Networks
- Category: Risk Management
- Category: Securities Trading
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Portfolio Management
