More talks in the program:
11:30 - 12:30
We describe in detail how a deep learning algorithm works and how it can be applied to financial time series analysis. Presenting our four-step procedure of auto-encoding, calibration, validation, and verification, we solve examples from index replication and portfolio creation. We also discuss some of the detail to be kept in mind when creating a machine learning based systematic trading strategy.