Christos Koutsoyannis
Chief Investment Officer, Atlas Ridge Capital
Adjunct Professor, NYU Courant
Executive Advisory Board, Columbia Business School, Program for Financial Studies
Agenthon
More Information Coming Soon
A Quantitative Finance Competition
About Agenthon 2026
A NeurIPS 2026 Competition.
Organized by the SQA and CEWIT at Stony Brook University.
Submission
Docker agent
Admissibility
g0-g3 gates
Ranking
Track metrics
NeurIPS 2026 Competition Track
Verifiable AI for quantitative finance.
Welcome to Agenthon 2026! The SQA is thrilled to announce #Agenthon2026, organized jointly by the Society of Quantitative Analysts (SQA), the oldest and most prestigious quant organization in New York, and the Center of Excellence in Wireless and Information Technology (CEWIT) at Stony Brook University.
Agenthon 2026 is a NeurIPS 2026 Competition Track on verifiable AI for quantitative finance — a four-track competition testing whether AI agents can produce finance outputs that survive automated, leakage-controlled, cheat-resistant evaluation.
Agenthon extends the Alphathon program into its first NeurIPS edition, keeping the four-track structure and hard finance setting while adding sealed held-out data, automated leakage controls, reproducible reruns, and public leaderboards. See Alphathon 2025 and Alphathon 2024 under Past Events for the program's history.
Question Partners
Real problems from real desks.
Agenthon Questions and Tasks are of real relevance to hedge funds and asset managers, spanning alpha forecasting, portfolio optimization, computational statistics, machine learning, and AI. Questions are provided jointly by the SQA, CEWIT and our Question Partners.
See Questions 2025 for last year's questions and a feel for Agenthon priorities.
Our Supporters
Sponsor Agenthon 2026.
A number of sponsorship tiers and opportunities are available, including monetary and awards sponsorship, event space, data, infrastructure, and compute.
Organizing Committee
Thank you from the organizers.
Lead Organizers
Pawel Polak
Assistant Professor, Department of Applied Mathematics and Statistics, Stony Brook University
Vice President, Society of Quantitative Analysts
Industry Co-Organizers
David Rosenberg
Head of Machine Learning Strategy, CTO Office
Bloomberg, Toronto, Canada
Gary Kazantsev
Head of Quant Technology Strategy, Office of the CTO
Bloomberg, New York, USA
Ioana Boier
Global Head of Capital Markets Strategy
NVIDIA Corporation, USA
Track Leads
T1 · Coding
Quant-finance coding agents
Zhikang Dong
Track Lead T1
Independent Researcher
T2 · Forecasting
Reasoning-augmented time series
Ruolan Sun
Track Lead T2
Ph.D. Student, Stony Brook University
T3 · Simulation
Accelerated market simulation
Haohan Xu
Track Lead T3
Ph.D. Student, Stony Brook University
T4 · Tabular
Evidence-grounded prediction
Mathew Thiel
Track Lead T4
Quant Research Analyst, validityBase