Personalized Chain-of-Thought Summarization of Financial News for Investor Decision Support

Abstract: Financial advisors and investors struggle with information overload from financial news, where irrelevant content and noise obscure key market signals and hinder timely investment decisions. To address this, we propose a novel Chain-of-Thought (CoT) summarization framework that condenses financial news into concise, event-driven summaries. The framework integrates user-specified keywords to generate personalized outputs, ensuring that only the most relevant contexts are highlighted. These personalized summaries provide an intermediate layer that supports LLMs in producing investor-focused narratives, bridging the gap between raw news and actionable insights.