Reinforcement Learning for Trading Strategies
Completed by SHREEJIT VERMA
October 26, 2020
12 hours (approximately)
SHREEJIT VERMA'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: Portfolio Risk
- Category: Recurrent Neural Networks (RNNs)
- Category: Portfolio Management
- Category: Applied Machine Learning
- Category: Financial Trading
- Category: Markov Model
- Category: Reinforcement Learning
- Category: Financial Market
- Category: Time Series Analysis and Forecasting
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Deep Learning
- Category: Risk Management
