The Winners
 
          
         
      Question 1
A Real-Time Streaming Application Using
              
                CSP
            
            by
              
                Point72 /
              
                Cubist Systematic Strategies
            
🥇 Winner
              Team 63: OffTheTape
              Streaming Insights from the 2024 Election
              Gregory Sharma, NYU Courant
              David Lupea, Stanford University
              Anush Musthyala, AQR Capital Management
            
Question 2
Edgar + LLMs = Alpha
        by
          
            AllianceBernstein (AB)
        
🥇 Winner
              Team 27: S.A.B.
              Diagnostic Signal Fusion: An LLM-Based Framework for Equity Research Analysis
              Benjamin Loller, Brown University
              August Gilmartin, Brown University
              Sayid Achilov, Brown University
            
Question 3
Moving Targets: Detecting Shifts in Corporate Performance Narratives via LLMs
        by
        
            Principal Financial Group
        
🥇 Winner
              Team 9: LinqAlpha
              Can LLMs Hit Moving Targets? 
Tracking Evolving Signals in Corporate Disclosures
              Jacob Chanyeol Choi, LinqAlpha
              Minjae Kim, LinqAlpha
              Jihoon Kwon, LinqAlpha
            
Question 4
Microstucture, Market Impact and Scaling Active Equity Strategies: 
From Millions to Billions
        by
        
          Northfield Information Services
        
        
🥇 Joint Winners 🥇
🥇 Winner
              Team 24: Mathew Thiel
              Scaling from $20 Million to $20 Billion; 
Path-dependent Constraints, Burn-in and Inertia
              Mathew Thiel, Stony Brook University
            
🥇 Winner
              Team 52: DST Squad
              Microstructure, Market Impact and Scaling Active Equity Strategies: 
From Millions to Billions
              Shunwei (David) Du, NYU Courant
              Luchen (Tom) Shi, NYU Courant
              Fengrui (Sam) Tian, NYU Courant
            
These projects all created innovative, robust research and applications, used large data, statistical techniques, machine learning methodologies and great insight, and addressed real issues for the world of investment!
See the SQA LinkedIn Alphathon 2025 Winners Announcement!
Congratulations to all the Winners!
The Finalists
Here are the Alphathon 2025 Finalists per Question!Question 1 Finalists
A Real-Time Streaming Application Using
            
              CSP
          
          by
            
              Point72 /
            
              Cubist 
          
 
              
            Congratulations to the Q1 Finalists:
              
              Team 59: Vege
              Real-Time Multi-Ticker Cryptocurrency Market Monitoring and Risk Analytics Platform
              Ziyu Lu, Rockefeller University
              
              Team 63: OffTheTape
              Streaming Insights from the 2024 Election
              Gregory Sharma, NYU Courant
              David Lupea, Stanford University
              Anush Musthyala, AQR Capital Management
              
              See the SQA LinkedIn Alphathon 2025
              
               Q1 Finalists Announcement!
            
Question 2 Finalists
Edgar + LLMs = Alpha
          by
            
              AllianceBernstein (AB)
          
 
              
            Congratulations to the Q2 Finalists:
              
              Team 27: S.A.B.
              Diagnostic Signal Fusion: 
An LLM-Based Framework for Equity Research Analysis
              Benjamin Loller, Brown University
              August Gilmartin, Brown University
              Sayid Achilov, Brown University
              
              Team 59: Vege
              Edgar + LLMs = Alpha: 
Evaluating Large Language Models for Enhanced Stock Return Prediction
              Ziyu Lu, Rockefeller University
              
              Team 60: juniorquant!
              Extracting Predictive Signals from 10-K Disclosures Using LLM Sentiment
              Alexandra Pinedo, BlackRock
              
              See the SQA LinkedIn Alphathon 2025
              
              Q2 Finalists Announcement!
            
Question 3 Finalists
Moving Targets: Detecting Shifts in Corporate Performance Narratives via LLMs
          by
          
              Principal Financial Group
          
 
              
            Congratulations to the Q3 Finalists:
              
              Team 9: LinqAlpha
              Can LLMs Hit Moving Targets? 
Tracking Evolving Signals in Corporate Disclosures
              Jacob Chanyeol Choi, LinqAlpha
              Minjae Kim, LinqAlpha
              Jihoon Kwon, LinqAlpha
              
              Team 41: Neverender
              Moving Targets with LLMs
              Sarvesh Sakhare, Cornell University
              Atharwa Pandey, Cornell University
              Qi Wang, Cornell University
              
              Team 46: Eigenvector
              Shifting Stories, Shifting Returns
              Komal Niraula, NYU Tandon
              
              See the SQA LinkedIn Alphathon 2025
              
              Q3 Finalists Announcement!
            
Question 4 Finalists
Microstucture, Market Impact and Scaling Active Equity Strategies: 
From Millions to Billions
          by
          
          Northfield Information Services
          
 
              
            Congratulations to the Q4 Finalists:
              
              Team 24: Mathew Thiel
              Scaling from $20 Million to $20 Billion; 
Path-dependent Constraints, Burn-in and Inertia
              Mathew Thiel, Stony Brook University
              
              Team 52: DST Squad
              Microstructure, Market Impact and Scaling Active Equity Strategies: 
From Millions to Billions
              Shunwei (David) Du, NYU Courant
              Luchen (Tom) Shi, NYU Courant
              Fengrui (Sam) Tian, NYU Courant
              
              See the SQA LinkedIn Alphathon 2025
              
              Q4 Finalists Announcement!
            
 
                
              