- Portfolio Management
- Artificial Neural Networks
- Financial Trading
- Reinforcement Learning
- Portfolio Risk
- Recurrent Neural Networks (RNNs)
- Markov Model
- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Risk Management
- Financial Market
Reinforcement Learning for Trading Strategies
Completed by Aniket Kumar
March 30, 2020
12 hours (approximately)
Aniket Kumar'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
