Deep learning has been the hottest ML topic of the last several years with plenty of potential for trading due to its ability to extract signals from alternative data like images and text. This category addresses questions and discussions around the topics covered in Part 4, including:
- Deep Learning for Trading
- CNN for Financial Time Series and Satellite Images
- RNN for Multivariate Time Series and Sentiment Analysis
- Autoencoders for Conditional Risk Factors and Asset Pricing
- Generative Adversarial Nets for Synthetic Time Series Data
- Deep Reinforcement Learning: Building a Trading Agent