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