- Reinforcement Learning
- Risk Management
- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Financial Trading
- Portfolio Management
- Artificial Neural Networks
- Financial Market
- Portfolio Risk
- Applied Machine Learning
- Recurrent Neural Networks (RNNs)
- Time Series Analysis and Forecasting
Reinforcement Learning for Trading Strategies
Completed by SEYED ALI HOSSEINI
April 27, 2023
12 hours (approximately)
SEYED ALI HOSSEINI'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
