Between April 26 and April 28, 2026, the Yes price for 28°C surged from 36.5c to 50c, as the official weather forecast increasingly locked onto 28°C as the expected maximum temperature for the day. Between April 26 and April 27, 2026, the Yes price for 25°C plummeted from 14c to under 1c, because short-term forecasts eliminated the possibility of such a low maximum temperature. The overall market has become more concentrated and stable as the target date arrives.

The title asks for the highest temperature in 'Seoul', but the resolution criteria strictly specify the data source as the 'Incheon Intl Airport Station'. Incheon Airport is coastal, and its temperatures often differ significantly from inland downtown Seoul. Bettors relying on generic Seoul weather forecasts face a substantial risk of being misled. Additionally, the rounding to whole degrees Celsius requires precision awareness at the boundaries.

April 26, 2026 - April 27, 2026, the price of the 16°C option climbed from 21.5c to 39.5c, as short-term weather forecasting models converged more strongly on this temperature range. April 26, 2026 - April 27, 2026, the price of the 15°C option fell from 27.5c to 17c, because as the date approached, forecasts indicated a higher probability that the actual high would break past 15°C. April 26, 2026 - April 26, 2026, the price of the 19°C or higher option plummeted from 30.5c to 3.5c, as meteorological data ruled out the possibility of an unusually warm front on that day.

Predicting the exact number of high-magnitude earthquakes globally within a specific week is highly random. It is a typical novelty and probability-driven market, as almost no one thinks about or tracks such specific short-term geological statistics before seeing the prompt.

April 24, 2026 - April 26, 2026, the prices of options 2, 3, 4, 5, and >5 plummeted significantly from the 30c-50c range to single digits or low teens (e.g., Option 2 dropped from 50c to 12.5c, Option 3 fell from 39c to under 4c). This was likely due to severe initial mispricing caused by extremely low liquidity when the market opened, which was later corrected by traders aligning prices with natural statistical probabilities.

Betting on the exact daily highest temperature of a specific city is uncommon and somewhat trivial for the general public, though it serves as a relatively standard and popular novelty market for niche prediction market participants.