On May 19, Seattle residents and weather forecasters will want to know exactly how warm it will get. This event-aggregator page bundles seven prediction markets that collectively map out the likely temperature range for Seattle's high temperature that day. Each market covers a specific temperature band—from 39°F or below, through 40-41°F, 42-43°F, 44-45°F, and 46-47°F—allowing you to see not just whether it will be cold or mild, but precisely where probability concentrates. These markets are grouped together because they represent a complete picture of a single measurable outcome. Rather than asking "Will it be warm?" (too vague), prediction markets here break the forecast into discrete, testable ranges. By comparing the odds across all seven bands, you can identify which temperature scenario the market considers most probable. A high probability on the 46-47°F range, for instance, suggests consensus toward milder conditions; concentrated probability in the 40-41°F band points to cooler weather instead. When reading the prices below, think of them as a probability distribution. Each market's price reflects what traders collectively believe is the likelihood of that specific temperature outcome occurring. If you sum the implied probabilities across all seven markets, you'll see where the aggregate forecast leans. Markets with higher prices indicate outcomes considered more probable; lower prices suggest less likely scenarios. Watch for clusters—if several adjacent ranges carry similar odds, the forecast is highly uncertain; if one band stands out significantly, it signals stronger consensus on what to expect. The real value comes from the collective signal. Weather forecasting is inherently uncertain, but by observing how traders allocate capital across these buckets, you gain insight into the full range of outcomes the market anticipates. This granular breakdown helps you understand not just the central forecast, but the risk of variance—how much hotter or colder conditions might actually be than expected.