- Financial Trading
- Artificial Neural Networks
- Artificial Intelligence and Machine Learning (AI/ML)
- Portfolio Risk
- Portfolio Management
- Deep Learning
- Applied Machine Learning
- Risk Management
- Time Series Analysis and Forecasting
- Reinforcement Learning
- Recurrent Neural Networks (RNNs)
- Markov Model
Reinforcement Learning for Trading Strategies
Completed by Alvar Laureano Sosa Iturriaga
September 5, 2020
12 hours (approximately)
Alvar Laureano Sosa Iturriaga'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
