Reinforcement Learning for Trading Strategies
Completed by Yu Wang
March 20, 2020
12 hours (approximately)
Yu Wang'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: Model Training
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Reinforcement Learning
- Category: Markov Model
- Category: Financial Trading
- Category: Machine Learning Software
- Category: Artificial Neural Networks
- Category: Portfolio Management
- Category: Applied Machine Learning
