Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data
Fund2Persona, a framework that builds financial-advisor personas from real-world fund disclosures and refines them through an actor-scorer-patcher loop, is proposed, suggesting that real fund data can bring manager-specific investment expertise to LLM advisors rather than merely changing an LLM's surface style.