- Financial Market
- Financial Trading
- Applied Machine Learning
- Reinforcement Learning
- Markov Model
- Portfolio Management
- Deep Learning
- Artificial Neural Networks
- Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Time Series Analysis and Forecasting
Reinforcement Learning for Trading Strategies
Completed by Eduardo Enciso
June 3, 2021
12 hours (approximately)
Eduardo Enciso'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
