On April 27, 2026, Chongqing's weather will unfold as one of countless real-world events that prediction market participants are pricing in real time on Polymarket. This event aggregator bundles three interrelated prediction markets that all hinge on the same underlying question: what will be the highest temperature recorded in Chongqing on that day? Rather than offering a single forecast, these three markets divide the outcome into distinct price points—one tracking temperatures of 15°C or below, another for exactly 16°C, and a third for exactly 17°C. When viewed together, you're witnessing multiple independent forecasts for overlapping temperature ranges, each price derived from hundreds of traders analyzing weather models, historical climate data, and real-time conditions. These markets function as a decentralized aggregator of collective judgment, pooling thousands of individual assessments into real-time probabilities. As you examine the current prices, look for which temperature the markets perceive as most likely. Markets priced high—where the YES side sits near $0.70 or higher—signal strong consensus around that specific outcome. Conversely, prices near $0.10 suggest traders view that scenario as unlikely. The spacing between adjacent markets reveals something about certainty: if the 16°C market sits at $0.55 while the 17°C market is priced at $0.35, that spread reflects real disagreement about whether temperatures will trend toward the cooler or warmer end of the range. Volume and order-book depth also matter—heavily traded markets typically feature tighter spreads and represent broader consensus, while lighter activity can introduce noise. Whether you're a meteorology enthusiast, a data analyst interested in forecasting, or simply curious about how decentralized networks aggregate predictions, these markets offer a transparent view into how collective intelligence assesses future outcomes.