On April 28, London's weather will determine three distinct prediction markets that together form a comprehensive view of how market participants anticipate that day's highest temperature. The markets ask whether London will record a high of exactly 10°C, whether it will reach 9°C or below, or whether it will hit exactly 13°C. These specific thresholds span the plausible range of late-April outcomes in the British capital, creating a framework through which traders can express granular forecasts about local conditions. Examining the prices across these three markets simultaneously reveals how the aggregate market is distributing its expectations across different temperature scenarios. Local weather forecasting carries inherent uncertainty. Outcomes depend on atmospheric pressure systems, seasonal patterns, moisture content, and other variables that shift unpredictably. London in late April typically sees highs ranging from single digits to the mid-teens Celsius, making the difference between 9°C, 10°C, and 13°C meaningful in the context of the season. The prediction markets here represent real-time crystallizations of informed forecasts on these specific outcomes. As you review the prices, look for internal consistency: if the probability for 10°C is high, the prices for both the colder (9°C-or-below) and warmer (13°C) scenarios should reflect complementary expectations. Any apparent disconnects across the three markets might signal where consensus breaks down or where participants disagree about tail risks. The relative valuations reveal which temperature ranges traders view as most probable, least probable, or genuinely contentious.