Reinforcement Learning for Trading Strategies
Completed by Mangalam Sankupellay
August 8, 2020
12 hours (approximately)
Mangalam Sankupellay'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: Securities Trading
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Optimization
- Category: Deep Learning
- Category: Markov Model
- Category: Machine Learning Methods
- Category: Portfolio Management
- Category: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Risk Management
- Category: Model Training
