TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 30, 8:00 AM EST
Polymarket
This market tracks the peak daily temperature expected in Milan on May 30, 2026. On Polymarket, the leading outcome—a high of 31°C—stands at 38.5%, while a high of 30°C carries 31.5% probability. Resolution will be determined by the highest temperature recorded at Milan's Malpensa International Airport Station according to Weather Underground historical data. Watch the actual temperature reading on May 30, 2026, as seasonal weather patterns and any late-spring heat systems moving through northern Italy will determine the final settlement.
Prediction market odds on Polymarket reflect real-time consensus from traders betting on Milan's May 30 high temperature, while meteorological analyst forecasts are based on numerical weather models and historical climate data. Markets often incorporate analyst predictions but also price in uncertainty, geopolitical factors, and trader sentiment. Comparing the two reveals whether markets are pricing in more optimism or caution than official forecasts suggest. Both sources are valuable: analysts provide scientific grounding, while markets aggregate distributed information from many participants.
The market resolves on May 30, 2026, after the highest temperature in Milan on May 30 has been officially recorded. Resolution is determined by verified meteorological data from a designated weather authority or data provider specified in the contract terms. Once the actual high temperature is confirmed, the outcome is settled and winning positions are paid out. The resolution process is automated to ensure accuracy and fairness based on objective, publicly available temperature records.
Major weather pattern shifts, updated seasonal forecasts, and atmospheric pressure systems over Europe can significantly move odds for Milan's May 30 high. El Niño or La Niña conditions, jet stream positioning, and proximity to heat waves or cold fronts are key catalysts. Real-time meteorological model updates released by European weather services will influence trader positioning. Urban heat island effects, local pollution levels, and even solar activity forecasts may be priced in. As May approaches, short-range forecasts become more reliable, typically causing odds to converge toward the most probable outcome.