As spring weather patterns develop across Eastern Europe, Moscow's temperature on May 19, 2026, has emerged as a focal point for weather-related prediction markets. The four markets grouped here represent distinct temperature scenarios — whether the city's high will remain at 22°C or below, settle at 23°C, reach 24°C, or climb to 25°C. These granular thresholds are bundled together because they form a continuous spectrum of outcomes for a single meteorological variable: Moscow's daily high on that specific date. Rather than broad categorical forecasts, these markets enable participants to express precise views about the exact temperature range most likely to occur. Understanding these prices requires attention to the meteorological context. Early May in Moscow typically features variable spring conditions, with the region transitioning deeper into seasonal warming. Predictions at this level of granularity blend historical climate patterns with real-time atmospheric modeling from multiple forecasting centers. The prices below represent aggregated expectations from many independent forecasters about which temperature band is most probable. Uniform odds across scenarios suggest genuine predictive uncertainty; concentrated odds indicate forecaster consensus around a particular outcome. These markets function as real-time information aggregators, surfacing what informed observers believe about Moscow's weather trajectory. As May 19 approaches, price movements will likely reflect updated numerical weather models, recent meteorological data, and refined forecaster expectations. By comparing odds across all four scenarios, you gain insight not only into what forecasters expect, but how confidently they hold that view. This transparency illustrates how prediction markets distill collective intelligence into probabilistic forecasts about concrete events.