We’re excited to share that LinqAlpha won first place at Alphathon 2025, Agentic AI in Investment, organized by the Society of Quantitative Analysts (SQA) at Fordham University.

Our project, “Can LLMs Hit Moving Targets? Tracking Evolving Signals in Corporate Disclosures,” tackled the “Moving Targets” challenge sponsored by Principal Financial Group, earning top recognition among 60+ teams and 120+ participants.

The research explores how large language models can detect and quantify evolving corporate narratives, revealing shifts in business priorities before markets react. By transforming qualitative disclosures into measurable signals, our approach bridges the gap between quantitative and discretionary investing, allowing both quants and fundamental analysts to act on story-driven insights.

Our work highlights how agentic AI can make evolving corporate stories more transparent and actionable, reshaping how investors track company fundamentals.

We’re excited to continue advancing our multi-agent research platform to make the language of markets more transparent, queryable, and actionable, thus empowering investors to understand corporate evolution in real time.

For more information about our platform or upcoming work, reach out at support@linqalpha.com or visit linqalpha.com