- Artificial Neural Networks
- Deep Learning
- Time Series Analysis and Forecasting
- Financial Market
- Recurrent Neural Networks (RNNs)
- Risk Management
- Reinforcement Learning
- Financial Trading
- Markov Model
- Portfolio Management
- Artificial Intelligence and Machine Learning (AI/ML)
- Portfolio Risk
Reinforcement Learning for Trading Strategies
Completed by Vishal Budree
May 2, 2020
12 hours (approximately)
Vishal Budree'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
