AI Signal Dashboard
Last updated: 16 hours ago
Top Undervalued
+16.5¢
23°C or below(Yes)
+15.5¢
26°C(No)
+11¢
24°C(Yes)
Highest temperature in Buenos Aires on March 24? AI analysis: • +16.5¢ undervalued • Live Prediction Market fair value & mispricing alerts.
Undervalued Options Insights:
While the local authority (SMN) forecasts a high of 21°C (falling into '23°C or below') for March 24...
Log in to see more
Real-time High Yield Opportunities
View MoreAll
Outcomes
Market
Price
AI Fair
Value
Value
Edge
23°C or below
YesNo
8.5¢
91.5¢
25¢
75¢
+16.5¢
0¢
26°C
YesNo
25.5¢
74.5¢
10¢
90¢
0¢
+15.5¢
Expand to view all 11 options
⚠️ 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.
Exotics
For local residents of Buenos Aires or meteorology enthusiasts, this is a routine question. However, for a general global audience, predicting the exact high temperature (down to specific numerical ranges) for a specific city on a specific date falls into a relatively niche and granular category, unlike elections or major sporting events with universal appeal.
Movers
March 22, 2026 - March 23, 2026, the price of '23°C or below' crashed from 47.5c to 11c (rebounding to 18.5c). The reason is that the resolution source Wunderground's short-term forecast showed warming (reaching 25°C on Monday), causing fears that the previously bet 'cold front (21°C)' thesis would fail at the resolution source level, triggering panic selling and capital flight toward the 24°C and 25°C options.
Divergence
Significant data source divergence exists. Argentina's National Meteorological Service (SMN) and local media explicitly forecast a high of 21°C for March 24 (favoring '23°C or below'). However, the resolution source Wunderground and associated US global models (GFS/AccuWeather) predict higher temperatures around 24°C-25°C. The market is currently repricing based on the resolution source's warmer bias, diverging from the local ground-truth forecast.