- Risk Management
- Artificial Neural Networks
- Recurrent Neural Networks (RNNs)
- Financial Trading
- Time Series Analysis and Forecasting
- Financial Market
- Deep Learning
- Applied Machine Learning
- Reinforcement Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Portfolio Management
- Markov Model
Reinforcement Learning for Trading Strategies
Completed by Pruthul Raj
October 5, 2021
12 hours (approximately)
Pruthul Raj'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
