Predicting the exact daily high temperature of a specific city is a niche daily weather forecast market. While not absurd, it is less mainstream compared to standard political or economic topics, giving it a moderate novelty factor.

April 13, 2026 - April 14, 2026, the price of the '20°C or higher' option fluctuated drastically between 33c and 56c. This was due to divergence in weather models regarding cloud cover and precipitation probability as the resolution date approached, causing market debate over whether temperatures would break 20°C. April 13, 2026, the price of the '18°C' option surged from 12c to 24.5c. This was due to updated short-term weather forecasting models indicating that cloud cover or light precipitation might suppress the maximum temperature to around 18°C.

April 13, 2026 - April 14, 2026: The price of the 26°C option surged from 19c to 31.5c, the 25°C option rose from 22c to 29c, and the 24°C option fell from 31c to 14c. This was due to weather forecast models locking the expected high temperature into the 25°C-26°C range as the date approached, ruling out lower temperatures. April 13, 2026: The Yes price for 25°C surged from 22c to 36c, while the 28°C option plummeted from 17.5c to 6.5c. This was driven by updated weather forecast models which ruled out anomalous high temperatures and concentrated expectations around the 24°C-25°C range.

While daily weather forecasting is extremely common, establishing a prediction market for the exact high temperature of a specific inland city on a specific day down to the exact degree remains a somewhat niche and novelty topic.

April 13, 2026 - April 14, 2026: The price of the 22°C option steadily rose from 21.5c to a peak of 33.5c. This upward trend was driven by weather forecast models converging on 22°C as the most likely high temperature as the date approached. April 13, 2026 - April 14, 2026: The price of the 19°C option plummeted from 11.5c to 1.2c, and the 24°C option dropped from 19.5c to 9.5c. This occurred because the possibility of temperatures straying too far from the median was effectively ruled out by the highly accurate short-term meteorological forecasts.

April 13, 2026 - April 14, 2026, the price of '80°F or higher' surged from 77c to approximately 92.5c, while the prices for '76-77°F' and '78-79°F' plummeted by over 15c. The reason is that as the resolution date approaches, weather forecast models have highly converged, confirming that Austin's high temperature on April 15 will break the 80°F mark. On April 13, 2026, the prices of multiple lower temperature options (68-69°F, 70-71°F, 72-73°F, 74-75°F, 76-77°F) plummeted, with drops ranging from 12c to 17.5c. The reason is that as the target date approaches, weather forecast models updated and converged, confirming that the high temperature on April 15 will reach around 80°F, thereby eliminating the likelihood of lower temperatures.

Predicting the daily highest temperature of a specific city is a niche prediction market derived from everyday life. While weather forecasts are ubiquitous, treating a single city's daily temperature as a standalone financial prediction event retains a moderate level of novelty.

April 13, 2026 - April 14, 2026, the price of '30°C' surged from 18.5c to 36.5c, and '28°C' plummeted from 24.5c to 5.55c, as market participants engaged in speculation or misread data close to settlement, aggressively betting on anomalous heat. April 13, 2026, '24°C' dropped from 20.5c to 1.3c, '25°C' from 32.5c to 1.75c, '26°C' from 20.5c to 4.2c, and '27°C' from 20.5c to 7.0c, as weather forecasts confidently ruled out the likelihood of unusually low temperatures.

There is a severe divergence. The market is currently assigning the highest probabilities to 30°C (36.5c), 29°C (26.5c), and 31°C (20.5c), while pricing 28°C—the temperature most consistent with actual forecasts—at a mere 5.55c. Almost all authoritative weather platforms forecast a high of around 28°C for April 15. This extreme market deviation is likely due to irrational speculation or an incorrect extrapolation from past heat anomalies.