Beijing's weather on May 17, 2026, is the subject of three closely related prediction markets that collectively reveal how traders estimate the city's daily high temperature. These three markets—asking whether Beijing's highest temperature will reach 15°C, 16°C, or 17°C on May 17—form a connected spectrum of adjacent outcomes. When viewed together, they create a probability distribution across a narrow range, showing whether the crowd expects a cooler day around 15°C, a mild scenario near 16°C, or a warmer outcome at 17°C. Rather than binary yes-or-no questions, these temperature-specific markets allow participants to express more granular forecasting beliefs about how May weather in the Chinese capital will unfold. By grouping these three markets, you can observe how confidence shifts across adjacent temperature thresholds. If the 16°C market is deeply liquid while 15°C and 17°C see lighter trading, that reveals strong consensus around the middle scenario. Conversely, if probabilities are distributed relatively evenly across all three markets, the crowd is genuinely uncertain about the precise high. The prices you see below reflect real-time trading activity, where participants stake capital on their weather assessments. Higher prices (approaching 100¢) indicate stronger collective belief that an outcome will occur; lower prices suggest skepticism. Comparing prices across the three markets shows the marginal difference in conviction between adjacent temperature scenarios. These markets serve journalists, climate researchers, and weather enthusiasts interested in how public prediction markets assess short-term weather dynamics. Scroll through the individual market cards below to examine current odds, recent price movements, and trading volume for each temperature threshold.