Reinforcement Learning for Trading Strategies
Completed by Yuan Hsiao
March 16, 2025
12 hours (approximately)
Yuan Hsiao'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: Markov Model
- Category: Financial Trading
- Category: Recurrent Neural Networks (RNNs)
- Category: Model Training
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Model Optimization
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Reinforcement Learning
- Category: Model Deployment
- Category: Machine Learning Methods
