Toronto's high temperature on May 17 is the focus of this four-market event aggregator, where prediction participants forecast different temperature outcomes for the same day. Rather than a single binary outcome, these linked markets zoom in on specific temperature bands: one covering 17°C or below, and three isolating exact temperatures at 18°C, 19°C, and 20°C respectively. This structure allows you to observe the crowd's confidence not just in whether it will be warm or cool, but at which precise temperature point the probability concentrates. These markets are grouped together because they all hinge on the same underlying weather event—Toronto's May 17 high—but isolate different forecast bands. This creates natural relationships between prices: if the 17°C-or-below market is trading at 20%, and the 18°C market at 15%, you're seeing the crowd allocate a combined 35% chance to temperatures at or below 18°C, which implies a 15% isolated probability for exactly 18°C. By reading across all four markets simultaneously, you can reconstruct the implicit probability distribution the crowd is pricing in for that day's peak temperature. Price movements reveal real information flow. As weather models update, satellite data arrives, or seasonal patterns shift, market prices adjust to reflect new expectations. An uptick in the 20°C market and downtick in the 17°C market would signal growing crowd confidence that warmer temperatures are more likely. The gaps between consecutive market prices indicate forecast confidence: tight spreads suggest agreement on where the high will land; wider gaps suggest uncertainty. Whether you're a weather enthusiast, someone with temperature-sensitive operations, or exploring how collective forecasting works, these four interconnected markets offer a detailed snapshot of May 17's expected Toronto weather. Watch the prices across all four to see how the crowd consensus evolves.