Bachelorette Season 22 Winner
Culture|$2.4m Vol|
time211 days 0 hrs

Bachelorette Season 22 Winner - AI Found 31.4% APY

AI Signal Dashboard

Last updated: 1 hours ago
Top Undervalued
+42.6¢
Kevin Montero(No)
Arbitrage Opportunity
322¢
Arbitrage
31.4%
Annualized yield

Bachelorette Season 22 Winner AI analysis: • +42.6¢ undervalued • 31.4% arbitrage APY • Live Prediction Market fair value & mispricing alerts.

Arbitrage Plan:
Buy No shares for all 22 options. Since there will only be one winner (or none, resulting in all resolving to No), at least 21 options will resolve to No. The current sum of No prices for all options is ~1777.7c, while the payout is guaranteed to be at least 2100c (21 * 100c). Plan Description: The total cost for No shares is 1777.7c, with a guaranteed minimum payout of 2100c. This is a perfec...
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Undervalued Options Insights:
The market is still experiencing a severe pricing glitch or malicious manipulation (Yes sum > 400%),...
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Real-time High Yield Opportunities

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Highest temperature in Seoul on May 3?
Weather|$108.7k Vol|
time12 hrs 54 mins

Highest temperature in Seoul on May 3?

Top Undervalued
+3.6¢
17°C(Yes)
+1.5¢
14°C(Yes)
Undervalued Options Insights:
It is already the morning of May 3 in Seoul (Incheon Intl Airport), and current conditions involve r...
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Rule Risk
The market title asks for 'Seoul', but the rules explicitly state that resolution relies on the 'Incheon Intl Airport Station (RKSI)'. The airport is coastal and can have a significant temperature difference from downtown Seoul, posing a severe geographic trap for unwary traders. Additionally, it strictly relies on unrevised integer data from Wunderground.
Movers
May 1, 2026 - May 2, 2026: The price of the 15°C option surged from 25.5c to 41.5c, and the 14°C option rose from 14.5c to 21.5c. This occurred because as the expiration date approached, updated weather forecasts strongly confirmed rainy conditions, concentrating the predicted temperature in the 14-16°C range. April 29, 2026 - May 1, 2026: No price movement exceeding 10 cents was observed, indicating that the market pricing for all options remained relatively stable.
AI Analysis
Highest temperature in Buenos Aires on May 3?
Weather|$13.6k Vol|
time12 hrs 54 mins

Highest temperature in Buenos Aires on May 3?

Top Undervalued
+19¢
17°C(Yes)
+15¢
18°C(No)
Undervalued Options Insights:
According to the latest weather forecasts, the high temperature for Buenos Aires Ezeiza airport on M...
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Exotics
Predicting the exact highest temperature in a specific city on a given day to a precise whole degree is a relatively niche betting topic. While weather markets exist, it is not a mainstream event that the general public quantifies and closely monitors daily.
Divergence
Mainstream weather forecasts indicate that the highest temperature on May 3 will most likely be around 17°C, yet the market currently assigns the highest probability to 18°C (priced at 34.5c). This slight divergence may stem from traders relying on specific meteorological models that predict slight warming, or hedging against occasional unseasonable heat during the Argentine autumn.
AI Analysis
Highest temperature in Seattle on May 3?
Weather|$17.7k Vol|
time12 hrs 54 mins

Highest temperature in Seattle on May 3?

Top Undervalued
+37¢
80°F or higher(No)
+13.5¢
76-77°F(Yes)
Undervalued Options Insights:
Based on the latest weather forecasts, the high temperature in Seattle (KSEA) on May 3, 2026, is exp...
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Exotics
Predicting the exact high temperature on a specific day in a specific city is somewhat niche and not something the general public actively thinks about, though it is a relatively common topic in prediction markets or weather derivatives.
AI Analysis
All Outcomes
Market Price
AI Fair Value
Value Edge
Kevin Montero
YesNo
43.6¢
56.4¢
99¢
+42.6¢
Marcus Richardson
YesNo
41.7¢
58.3¢
99¢
+40.7¢

Expand to view all 22 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.
Movers
May 1, 2026 - May 2, 2026, Casey Hux's price fell from 47.45c to 35.35c, Malik Evans dropped from 45.45c to 34.25c, and several other top contenders saw 5-10c drops, as the market continued to correct the previous massive overpricing anomaly. April 30, 2026 - May 1, 2026, Lew Evans's price crashed from 47.1c to 26.4c, Marcus Richardson dropped from 45.15c to 36.2c, and Johnnie LaRossa fell from 48.65c to 40.15c, as some investors started to realize the extreme pricing glitch or manipulation and sold off overinflated positions. April 28, 2026 - April 30, 2026, the prices for the top 10 candidates remained highly elevated at 42c-49c, continuing the previous anomalous surge and indicating the manipulation or glitch remained unresolved. April 28, 2026 - April 29, 2026, the prices for the top 10 candidates collectively skyrocketed from under 2c (Matt Carroll from 26.8c) to 46c-49c. The reason is a severe trading glitch or malicious market manipulation, causing the total probability of mutually exclusive outcomes to breach 500%. April 26, 2026 - April 27, 2026, Matt Carroll's price skyrocketed from 0.85c to 27.95c, likely due to a new major spoiler resurfacing his name as a primary contender. April 21, 2026 - April 22, 2026, Richard Van De Water's price crashed from 16.4c to 1.95c, likely due to new spoilers ruling out his chances. April 20, 2026 - April 21, 2026, Clayton Johnson's price crashed from 25.1c to 7.0c, likely because new spoilers debunked recent theories of his victory. April 19, 2026 - April 20, 2026, Clayton Johnson's price skyrocketed from 1.75c to 25.1c, and Richard Van De Water's price surged from 1.65c to 16.15c, due to new reversing evidence in the spoiler community. April 18, 2026 - April 19, 2026, Matt Carroll's price crashed from 33.45c to 0.85c, due to definitive spoilers revealing he did not win, causing a complete market collapse.
Divergence
The sum of probabilities for mutually exclusive events must not exceed 100%. Currently, the implied sum of Yes probabilities across all candidates exceeds 420%, creating an extreme divergence from basic mathematical logic and real-world outcomes. This reflects a breakdown in market mechanics rather than an opinion-based divergence.

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