- Portfolio Risk
- Markov Model
- Time Series Analysis and Forecasting
- Portfolio Management
- Recurrent Neural Networks (RNNs)
- Applied Machine Learning
- Reinforcement Learning
- Financial Market
- Artificial Intelligence and Machine Learning (AI/ML)
- Financial Trading
- Risk Management
- Deep Learning
Reinforcement Learning for Trading Strategies
Completed by Frithjof Wittling
October 2, 2020
12 hours (approximately)
Frithjof Wittling'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
