- Financial Trading
- Reinforcement Learning
- Risk Management
- Artificial Neural Networks
- Deep Learning
- Applied Machine Learning
- Recurrent Neural Networks (RNNs)
- Portfolio Management
- Portfolio Risk
- Markov Model
- Financial Market
- Time Series Analysis and Forecasting
Reinforcement Learning for Trading Strategies
Completed by Gustavo Alvarado
April 18, 2020
12 hours (approximately)
Gustavo Alvarado'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
