Reinforcement Learning for Trading Strategies
Completed by Jing Ming
March 18, 2024
12 hours (approximately)
Jing Ming'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: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Markov Model
- Category: Financial Trading
- Category: Securities Trading
- Category: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Risk Management
- Category: Portfolio Management
- Category: Model Optimization
- Category: Deep Learning
- Category: Machine Learning Software
