Signature models

Signature models are analytical tools used to identify specific characteristic patterns within complex data sets, such as financial markets or biological systems. They rely on predefined patterns or "signatures" to recognize anomalies, predict behavior, or classify data points. Think of them as specialized filters that detect unique features or signals consistent with certain conditions or outcomes. These models help analysts quickly interpret large or intricate data by highlighting relevant patterns, aiding informed decision-making without requiring manual, detailed examination of every detail.