Weather prediction markets offer a dynamic way to understand how informed participants assess the probability of specific climate outcomes. On May 18, 2026, Beijing's weather will be the focus of three linked prediction markets, each exploring a different temperature scenario for the city's daily high. These markets collectively map the probability distribution across the entire range of possible temperatures—from cooler conditions at 22°C or below, through a precise midpoint at 31°C, to warmer outcomes at 32°C and above. By examining the odds across all three markets simultaneously, readers can gauge the consensus view on Beijing's weather trajectory and identify where market participants see the greatest uncertainty or confidence. The three markets are structurally interdependent: only one outcome across the group can occur on any given day. When you examine the prices, watch for how the probabilities distribute across these scenarios. If the 32°C+ market is trading at high odds while the 22°C or below market is low, it signals expectation of warmer conditions. Conversely, tight clustering of odds across all three suggests genuine uncertainty about which temperature band will prevail. Seasonal patterns, weather forecasts from meteorological agencies, and historical May weather data for Beijing all influence how markets price these outcomes. These aggregated markets serve both as a forecast tool and a barometer of collective judgment. Rather than relying on a single prediction source, examining multiple related markets reveals nuance—where forecasters agree, where they differ, and which scenarios the market considers most likely. Readers interested in Beijing's weather, climate analysis, or curious about how prediction markets function will find value in comparing these prices and understanding what the odds reveal about May 18's forecast.