Reinforcement Learning for Trading Strategies
Completed by Federico Martin Rodriguez
July 15, 2024
12 hours (approximately)
Federico Martin Rodriguez'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: Deep Learning
- Category: Model Optimization
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Markov Model
- Category: Financial Trading
- Category: Portfolio Management
- Category: Securities Trading
- Category: Applied Machine Learning
- Category: Machine Learning Software
- Category: Artificial Neural Networks
- Category: Risk Management
