- Reinforcement Learning
- Markov Model
- Deep Learning
- Risk Management
- Artificial Neural Networks
- Time Series Analysis and Forecasting
- Artificial Intelligence and Machine Learning (AI/ML)
- Portfolio Risk
- Recurrent Neural Networks (RNNs)
- Financial Trading
- Applied Machine Learning
- Portfolio Management
Reinforcement Learning for Trading Strategies
Completed by Valentin Kiechle
May 2, 2021
12 hours (approximately)
Valentin Kiechle'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
