Reinforcement Learning for Trading Strategies
Completed by Zhiyi Chen
September 2, 2024
12 hours (approximately)
Zhiyi Chen'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: Markov Model
- Category: Financial Trading
- Category: Artificial Neural Networks
- Category: Model Training
- Category: Model Optimization
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Risk Management
- Category: Machine Learning Methods
- Category: Machine Learning Software
