On May 17, 2026, Hong Kong will experience a particular low temperature—a single measurable outcome that prediction market participants worldwide are actively forecasting through these interconnected markets. The five linked markets displayed below represent different possible temperature thresholds: 24°C, 25°C, 26°C, 27°C, and 28°C or higher. Rather than asking a simple yes-or-no question, this temperature-band structure allows traders to express nuanced views across a continuous spectrum, each representing a meaningful climate boundary for the city. These five markets are grouped together because they all settle against the same underlying event: the official lowest temperature recorded in Hong Kong on May 17. The prices you see reflected here represent the collective probability assessment of thousands of traders worldwide, weighted by their capital commitments and trading positions. As new information emerges—whether updated weather forecasts, unfolding atmospheric patterns, or relevant historical climate data—the market prices adjust in real time to reflect the latest consensus forecast. When comparing the odds across the five temperature thresholds, keep in mind that exactly one outcome will materialize. If the recorded low temperature is 25.3°C, for example, the 25°C market and the 28°C-or-higher market both resolve to NO, as do the others—only the threshold markets that bound that outcome will show activity. The probabilities you observe should be internally consistent: if the market collectively assigns a 60% probability to "28°C or higher," the combined probability of the four cooler scenarios should approximate 40%, though real-world trading dynamics and bid-ask spreads may create small variations. As settlement approaches, watch for shifting prices across the temperature bands. Widening spreads between adjacent thresholds often signal genuine uncertainty among traders about where the outcome will land, while tightening spreads suggest market participants are converging toward a specific outcome as meteorological data crystallize.