Madrid's weather on April 27 is the subject of this aggregated prediction market page, which brings together three interconnected forecasts centered on that day's highest temperature. These markets are grouped because they all measure the same underlying event—the maximum temperature in Madrid—but from three distinct perspectives. The first market asks whether the high will remain at 21°C or below, a scenario that would suggest unusually cool spring conditions lingering into late April. The second explores the opposite: temperatures reaching 31°C or higher, signaling a shift toward heat typical of central Spain in late spring. The third market focuses on a specific moderate outcome: exactly 22°C. When examined together, the prices and spreads across these three markets reveal the market's consensus forecast. A higher price in the cool-weather market suggests the crowd expects lower temperatures, while elevated odds in the heat market indicate a lean toward warmth. The bid-ask spread on each market tells you something important too: tight spreads signal confidence in an outcome, while wider spreads reveal uncertainty about where the temperature will land. By comparing prices across all three markets simultaneously, you can infer the implied probability distribution of Madrid's temperature on April 27. This aggregated structure—where related outcomes are priced side by side—allows readers to spot imbalances between forecasts and understand the nuances of market sentiment in ways that a single binary forecast cannot convey.