How many days will Denver be above 90°F?

Comparing prediction market odds to analyst forecasts reveals how collective intelligence differs from expert opinions. Currently, it's important to note that this market reflects the aggregated predictions of individuals trading on Kalshi. Traditional weather analysts may offer probabilistic forecasts based on models and historical data, but these can differ significantly from the wisdom of the crowd. If analysts predict a higher or lower probability of sustained heat than is reflected in this market, it could indicate disagreement about the influence of specific weather patterns or the accuracy of forecasting models.

On Kalshi, this market is priced using a continuous double auction, meaning traders buy and sell contracts representing potential outcomes. The price of a contract reflects the market's implied probability of that outcome occurring. As more traders participate and new information becomes available, the price adjusts accordingly. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price indicates what percentage of the contract's face value a trader must pay to hold it, with lower prices suggesting a higher perceived probability of the event happening. This dynamic pricing mechanism allows the market to efficiently aggregate information and reflect evolving expectations.

This market resolves around Oct 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on the average daily temperature in Denver during the week of September 28, 2026, as reported by a recognized meteorological source. The market will determine if there were consecutive days where the average temperature exceeded 90°F. The outcome will be determined by publicly available data, ensuring a transparent and objective resolution process for this market.

Several signals or events could significantly move this market before Oct 6, 2026. Long-range weather forecasts released by organizations like the National Weather Service will be closely watched. Unexpected shifts in climate patterns, such as the development of a high-pressure system over the region, could increase the probability of sustained heat. Additionally, any news regarding El Niño or La Niña conditions, which can influence weather patterns, could impact trading activity. Finally, major changes in seasonal outlooks from meteorological experts may also cause shifts in the market’s pricing.