Toronto's weather on May 5 presents a natural forecasting challenge, and these prediction markets capture the temperature scenarios market participants expect with real capital. When weather predictions are published hours before an event, meaningful uncertainty remains about the precise daily high—whether it will settle at 7°C, 8°C, 9°C, 11°C, or elsewhere. These four markets isolate specific temperature thresholds, allowing participants to calibrate confidence in distinct outcomes rather than broad ranges. The grouping reveals how probability shifts across one-degree intervals: a market trading at 35% for "8°C exactly" tells a very different story than one at 12% for "11°C," suggesting the prediction community concentrates its view on mid-range temperatures. This is prediction markets at their core—by requiring real capital commitments, prices reflect collective expectations more precisely than opinion polls or casual forecasts. As May 5 approaches and weather models update, these prices will shift in real time, potentially moving several percentage points with each new meteorological observation. For anyone tracking Toronto's weather forecast, these markets provide a quantitative snapshot of current consensus on what would otherwise be a routine weather event. Unlike a single weather forecast offering a point estimate or broad range, prediction markets decompose uncertainty into explicit probability statements for each scenario. By observing which outcomes attract the most trading activity and carry the highest implied probabilities, you extract valuable signal about which scenarios the broader market views as most likely—and which represent higher-risk positions for contrarian views. Temperature outcomes this precise offer a clear test of forecasting accuracy once May 5 arrives.