On May 18, 2026, Paris will experience a specific maximum temperature, and prediction market participants are actively pricing their expectations for that outcome. This event aggregator brings together three related markets—forecasts for exactly 10°C, exactly 11°C, and 19°C or higher—that collectively capture how traders view the likely temperature range for that day. Rather than viewing these forecasts in isolation, examining them as a group reveals important patterns about market consensus and uncertainty. The spacing between discrete-temperature markets shows how traders weigh narrower outcomes, while the broader threshold market captures expectations around warmer scenarios. By comparing prices across all three simultaneously, you can identify which specific temperatures the market considers most probable and spot any gaps that suggest disagreement among participants. Weather prediction involves inherent uncertainty—meteorologists themselves adjust continuously as conditions evolve—so it's instructive to observe how markets price that uncertainty in real time. When prices heavily favor one temperature, it signals strong agreement; when distributed more evenly, it reflects genuine ambiguity about the outcome. This market-aggregated view serves as a snapshot of collective intelligence about a tangible, observable event that will resolve within days. Whether you're interested in meteorological forecasting, market mechanisms, or simply curious what the broader market expects for Paris's weather, these markets offer transparent, real-time insight into how probabilistic thinking translates into actual prices.