On May 5, 2026, Ankara will experience a specific high temperature, providing a clear test of how accurately various forecasting methods predicted the outcome. This page aggregates five related prediction markets focused on that day's maximum temperature in Turkey's capital, with outcomes spanning from 3°C or below through 8°C. The granularity of these markets—covering distinct but overlapping temperature bands—reflects an approach that forecasters have long recognized as valuable: rather than committing to a single point prediction, this framework allows observers to express their conviction about where the true value will fall. Prices across these markets collectively form a probability distribution that reveals where informed participants expect the high temperature to land. As May 5 approaches, new meteorological data from various weather models will feed into the forecasting ecosystem, and prices across these five outcomes will adjust accordingly, demonstrating how forecasting systems incorporate fresh information. The prices displayed below represent the current probability estimates: the percentage chance, assessed by the market, that Ankara's high will correspond to each outcome. Observing these price movements offers insight into the dynamics of prediction—how consensus forms, where uncertainty persists, and which outcomes command the strongest conviction. Research on forecasting accuracy has consistently shown that when distributed predictions are aggregated across granular outcomes, they often capture the true probability distribution more accurately than institutional point forecasts. For those interested in weather systems, forecasting methodologies, or how prediction markets process information, tracking these five related markets offers a window into both the science of weather and the mechanics of collective estimation. Whether conditions prove warm or cold on May 5, the prices and trading patterns across these outcomes will reflect what participants worldwide believed was most likely.