Sofia Marchetti

Sofia Marchetti

AI Methods & Market Context

Sofia researches how language models and hybrid agents fit crypto markets—what they extract well, where they fail as oracles, and how to keep them behind schemas and risk rails.

Signal Desk 2 articles AI Methods

Biography

Sofia Marchetti covers AI methods and market context at Signal Desk. She focuses on large language models as research and risk sensors, tool-using agent patterns, and the practical boundary between classic trading bots and adaptive agents.

She is skeptical of “GPT as fund manager” narratives and interested in structured extraction, validators, cost/latency reality, and evaluation that isolates the language component from full-stack PnL theater.

Sofia writes Signal Desk’s work on LLMs for crypto market analysis and agent-versus-bot comparisons.

Writing

Articles by Sofia