Reinforcement Learning for Trading Strategies
Completed by Kaya Celebi
February 13, 2024
12 hours (approximately)
Kaya Celebi'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: Model Optimization
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Securities Trading
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Software
- Category: Applied Machine Learning
- Category: Model Training
- Category: Portfolio Management
- Category: Reinforcement Learning
