Reinforcement Learning for Trading Strategies
Completed by Eugen Tiganu
January 28, 2024
12 hours (approximately)
Eugen Tiganu'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: Machine Learning Software
- Category: Applied Machine Learning
- Category: Markov Model
- Category: Financial Trading
- Category: Recurrent Neural Networks (RNNs)
- Category: Risk Management
- Category: Artificial Neural Networks
- Category: Portfolio Management
- Category: Securities Trading
- Category: Model Optimization
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
