On May 19, 2026, Karachi's high temperature will reflect the monsoon season's prevailing patterns, and prediction markets offer one window into collective expectations for how warm the day will be. The four markets grouped here—tracking whether the highest temperature will reach 28°C, remain at 27°C or below, hit 29°C, or climb to 30°C—span a range of outcomes that together capture the likely weather scenarios meteorologists and market participants are considering for the day. These outcomes form overlapping and mutually exclusive possibilities: every day's temperature falls into exactly one category, yet the prices across these contracts reveal how market participants assess the probability of each scenario. When reading the prices shown below, you're observing a real-time snapshot of distributed opinion about which outcome is most likely, continuously updated as new weather forecasts, satellite imagery, and seasonal data become available. The relative prices between contracts offer insight into fine-grained distinctions: a significant price gap between the 28°C and 29°C markets, for example, signals that traders see a meaningful probability difference between a moderately warm day and a notably hotter one. As May 19 approaches, price movements often intensify when meteorological updates arrive, revealing how rapidly new information reshapes expectations. By observing both the current prices and their evolution over time, you can track how collective forecasts shift and which temperature scenarios the market increasingly prices as most probable or least likely. Beyond analytical interest, these granular weather predictions serve researchers, climate analysts, and planners seeking to understand how probabilistic expectations form around near-term weather extremes.