MarketsTechnologyPerfect score achieved by an AI model in the Inter
🤖 TechnologyKalshi55/100 confidence

Perfect score achieved by an AI model in the International Math Olympiad (IMO) 2026?

Forecasting market: Perfect score achieved by an AI model in the International Math Olympiad (IMO) 2026?

Alpha Opportunity

40/100
Market Price64%Kalshi
Analyst Estimate30%Analyst research
=
Your Edge+34.0%Bet sell
RecommendedNO0% APY
Trade on Kalshi

Alpha Thesis

📊 Dr. Sarah Chen⚖️ James Kowalski🔬 Dr. Aisha Patel🧠 Marcus WebbUpdated 2026-03-16
55/100
📊Free Summary

We believe the Manifold contract for AI achieving a perfect IMO score (42/42) in 2026 is overvalued at 64%, with our estimate at 30%. In 2025, the best AI systems scored 35/42 (gold medal level) — solving 5 of 6 problems. A perfect score requires solving ALL 6 problems, including Problem 6, which is traditionally the hardest and often goes unsolved by most gold medalists. Going from 5/6 to 6/6 is disproportionately harder than from 4/6 to 5/6.

📐Key Metrics

1
35/42 (2025)The Current BestAI scored 35/42 in 2025 — gold medal level but 7 points short of perfect. The missing problem is typically the hardest.
2
Problem 6The Final BossIMO Problem 6 is traditionally the hardest. Even gold medalists often score 0-3/7 on it. AI must solve it perfectly.
3
64% vs. 30%The 6/6 TrapThe market treats 5/6→6/6 as a small step. It's actually a massive leap in difficulty.

Key Findings

  • 5/6 ≠ 6/6 — Solving the 6th (hardest) problem is qualitatively different from solving the easiest 5. Problem 6 often requires deep insight.
  • Only 5 Humans Got 42/42 in 2025 — Out of hundreds of contestants. A perfect score is rare even for the best humans.
  • IMO 2026 Is in Shanghai — July 15-16, 2026. Only 4 months away. AI systems need to be ready.
  • AI Must Generate Formal Proofs — The IMO requires written proofs, not just answers. AI must produce rigorous, correct mathematical arguments.
  • 30% Is Generous — Given that the gap between gold (35/42) and perfect (42/42) has historically taken humans years to close.
🔒

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Alpha Quality Factors

Criteria that determine how exploitable this mispricing is

Edge Magnitude+34.0% raw edge — Strong mispricing
100
Liquidity Health$10K available — Thinner market, size carefully
0
Volume Activity$1K 24h volume — Lower activity, watch for stale pricing
0
Time ValueExpires in 12 months — Longer horizon, more uncertainty
40
Analyst Confidence55/100 confidence — Moderate conviction
60

Human Bias Detected

Cognitive biases creating this alpha opportunity

🧠
Information Asymmetry

The crowd may lack specialized knowledge that narrows the true probability range.

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Market Data

Liquidity$10K
24h Volume$1K
Expected Return0.0%
Annualized APY0%
Time to Expiry12 months
Risk Levelmedium

Position Sizing

Kelly Criterion (per $1,000 bankroll)

Full Kelly$19119.1%
½ Kelly ★$969.6%
¼ Kelly$484.8%

Payoff Scenarios

InvestWinLose
$100+$178-$100
$250+$444-$250
$500+$889-$500
$1000+$1778-$1000

Analysis Team

📊
Dr. Sarah ChenLead Quantitative Analyst
⚖️
James KowalskiRisk & Position Strategist
🔬
Dr. Aisha PatelDomain Research Lead
🧠
Marcus WebbBehavioral Finance Specialist