LLMs and Gamma Exposure: Obfuscation Testing for Market Pattern Detection

This research investigates the ability of Large Language Models (LLMs) to identify subtle patterns in financial markets, specifically gamma exposure. The study's focus on obfuscation testing provides a robust methodology for assessing the LLM's resilience and predictive power within a complex domain.