How many days will Houston exceed 90°F?

Currently, it’s difficult to directly compare this market to specific analyst forecasts, as those haven’t been widely published for this timeframe. However, prediction markets often aggregate diverse opinions and can provide a different perspective than traditional forecasts. If analysts predict a high probability of a heat wave, we would expect to see the price of ‘yes’ outcomes increase, reflecting greater confidence in that scenario. Conversely, if analysts anticipate a cooler week, the price of ‘no’ outcomes would likely rise. It's a dynamic comparison that evolves as new information emerges.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing different outcomes – in this case, whether there will be consecutive days above 90°F. The price of a contract reflects the market’s collective assessment of the probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price moves based on supply and demand; if more people buy contracts for a particular outcome, the price increases, and vice versa. This creates a real-time estimate of the likelihood of a Houston heat wave next September.

This market resolves around Sep 15, 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 Houston, Texas, during the week of September 7, 2026. Data will be sourced from established meteorological organizations to determine if there were consecutive days where the average temperature exceeded 90°F. The final outcome will be a simple ‘yes’ or ‘no’ based on whether this condition was met.

Several factors could influence trading in this market. Long-range weather forecasts released in the coming months will be key drivers, especially those from reputable sources like the National Weather Service. Any significant changes in climate patterns, such as the development of a strong El Niño or La Niña event, could also shift expectations. Additionally, news reports about potential heat mitigation strategies or infrastructure improvements in Houston might impact trader sentiment. Finally, general public discussion and awareness of climate change and extreme weather events could indirectly affect trading volume and price.