- Artificial Neural Networks
- Reinforcement Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Time Series Analysis and Forecasting
- Portfolio Management
- Machine Learning
- Applied Machine Learning
- Deep Learning
- Financial Trading
- Financial Market
- Markov Model
Reinforcement Learning for Trading Strategies
Completed by Yevgeniya Li
June 13, 2021
12 hours (approximately)
Yevgeniya Li'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
