AI Signal Dashboard
Last updated: 04.13 03:53
Top Undervalued
+3.7¢
December 31, 2026(No)
AI bubble burst by...? AI analysis: • +3.7¢ undervalued • Live Prediction Market fair value & mispricing alerts.
Undervalued Options Insights:
With about 261 days remaining until the end of 2026, triggering resolution requires three extreme co...
🔓 Unlock Mispricing Insights (Pro)
Real-time High Yield Opportunities
View MoreAll
Outcomes
Market
Price
AI Fair
Value
Value
Edge
December 31, 2026
YesNo
15.7¢
84.3¢
12¢
88¢
0¢
+3.7¢
⚠️ Risk Warning: Live data may lag! Prices can shift instantly due to news or low liquidity. Before trading, use AI Chat for [Live Recalculate], [Check Liquidity], [Trollbox Radar], or review [Fair Value Logic] to verify.
Rule Risk
There is a significant logical conflict in the rules. The clause 'within 90 days of this market's specified timeframe' literally implies the events must occur in the 90-day window leading up to the expiration date (Q4 2026). However, the 'resolve immediately' clause suggests an early settlement is possible, which contradicts the requirement for proximity to the specific end date. If a crash occurs in 2025, it is highly ambiguous whether it satisfies the 'within timeframe' condition.
Hedging
Nasdaq 100
SMCI
TSM
NVDA
MSFT
This market directly correlates with the core risk of global tech stocks. If NVDA drops 50% and the AI industry enters a downturn, it would cause a structural shock to the Nasdaq 100. NVDA is the direct underlying asset, TSM and SMCI are key hardware suppliers, and MSFT faces significant exposure via OpenAI. This serves as an excellent tail-risk hedge against a tech sector collapse.
Divergence
The market currently assigns a roughly 17% probability to an 'AI bubble burst', which significantly diverges from mainstream institutional and analyst views. Mainstream consensus largely maintains that while the AI sector may face valuation corrections or specific company shakeouts, the probability of a systemic collapse triggering three catastrophic events (e.g., NVDA and chip stocks halving, top AI firms going bankrupt) simultaneously in under a year is microscopically low (typically assessed under 1-5%), given strong underlying compute demand and accelerating LLM commercialization. This high pricing divergence stems from a concentrated influx of hedging capital in the prediction market rather than a true estimation of fundamental likelihood.