Auditing LLM Trading: Bridging Theory and Market Reality with the GT table in R (opens in new tab)

Introduction: The Laboratorial Illusion In quantitative finance, Large Language Model (LLM) multi-agent systems are frequently celebrated for their theoretical intelligence. Financial data scientists spend months refining prompt semantics, building complex reasoning frameworks, and engineering multi-turn debate loops between specialized agent nodes. On paper—and within simulated environments—these networks demonstrate flawless predictive capabilities, capturing theoretical alpha with […]