- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Machine Learning
- Portfolio Management
- Reinforcement Learning
- Time Series Analysis and Forecasting
- Artificial Neural Networks
- Markov Model
- Financial Market
- Financial Trading
Reinforcement Learning for Trading Strategies
Completed by Mark Grizaard
March 22, 2020
12 hours (approximately)
Mark Grizaard'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
