Reinforcement Learning for Trading Strategies
Completed by Matias Zepeda Vega
May 30, 2024
12 hours (approximately)
Matias Zepeda Vega'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: Securities Trading
- Category: Model Optimization
- Category: Deep Learning
- Category: Reinforcement Learning
- Category: Model Deployment
- Category: Model Training
- Category: Portfolio Management
- Category: Applied Machine Learning
- Category: Risk Management
