Seoul's weather on May 5, 2026 is the subject of this event-aggregator page, where prediction markets divide the temperature spectrum into discrete bands: 10°C or below, 11°C, 12°C, 13°C, 14°C, and higher ranges. This structure allows market participants to express precise forecasts about the day's high temperature. Reading the prices across these consecutive temperature ranges reveals what the collective market believes about the likely distribution of outcomes. A market priced at 45¢ for a particular temperature band indicates the market assigns a 45% probability to that outcome, while comparing adjacent markets shows whether conviction clusters around specific temperatures or spreads broadly. This type of event clustering is valuable for understanding how prediction markets quantify specific, measurable real-world outcomes. By examining the prices across all related markets, you can identify which temperature range has the strongest consensus support, where uncertainty exists, and how confident market participants are overall. Each market reflects independent trading activity, yet together they form a complete picture of what the prediction market expects Seoul's weather will be. This approach to bundling related outcomes is common in prediction markets, especially for weather, elections, and other events with multiple possible results across a measurable spectrum.