Will Madison fall below 30°F before November 2026?

Comparing the odds in this market to traditional analyst forecasts reveals how collective prediction differs from expert opinion. While analysts might rely on long-range weather models and historical data, this market represents the wisdom of the crowd, incorporating a wider range of information and perspectives. If analysts generally predict a higher or lower chance of the temperature dropping below 30°F than what’s reflected in the current price, it suggests a potential disagreement between expert forecasts and the market’s assessment. This difference can be insightful for understanding the range of possible outcomes.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing a ‘yes’ or ‘no’ outcome to the question of whether Madison will fall below 30°F before November 2026. The price of these contracts directly reflects the market’s implied probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price adjusts to reflect the evolving consensus. A higher price for the ‘yes’ contract indicates a greater belief that the temperature will drop below 30°F, while a lower price suggests the opposite.

This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will depend on whether the recorded temperature in Madison, Wisconsin, falls below 30°F at any point before that date. Data from reputable weather sources will be used to determine if the condition has been met. The final price of the contracts will then reflect whether the ‘yes’ or ‘no’ outcome prevailed, and traders will be paid out accordingly.

Several signals and events could significantly influence the price of this market. Long-range weather forecasts, particularly those predicting unusually cold winters, would likely increase the price of ‘yes’ contracts. Conversely, forecasts indicating milder-than-average temperatures could push the price down. Major shifts in climate patterns or unexpected weather events, such as early-season snowstorms, could also have a substantial impact. News reports about energy prices and heating demand might also indirectly affect trading activity and the market’s overall sentiment.