Reinforcement Learning for Trading Strategies
Completed by AINI ZHANG
June 5, 2020
12 hours (approximately)
AINI ZHANG'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
- Category: Artificial Neural Networks
- Category: Portfolio Risk
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Financial Trading
- Category: Markov Model
- Category: Applied Machine Learning
- Category: Portfolio Management
- Category: Recurrent Neural Networks (RNNs)
- Category: Time Series Analysis and Forecasting
- Category: Reinforcement Learning
- Category: Risk Management
- Category: Financial Market
