- Time Series Analysis and Forecasting
- Risk Management
- Deep Learning
- Recurrent Neural Networks (RNNs)
- Reinforcement Learning
- Financial Market
- Financial Trading
- Portfolio Management
- Artificial Neural Networks
- Applied Machine Learning
- Portfolio Risk
- Markov Model
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
