TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 28, 8:00 AM EST
Polymarket
This market tracks whether the highest temperature recorded at Amsterdam Airport Schiphol Station will reach 25°C on May 28, 2026. On Polymarket, the 25°C outcome is priced at 100.0%, while the 24°C outcome stands at 0.1%. Resolution will be determined by historical temperature data from Weather Underground. Watch for the actual weather conditions on May 28, 2026, as the recorded high temperature at Schiphol will directly determine the market outcome.
Prediction market odds on Polymarket reflect real-money trader conviction and often diverge from traditional meteorological forecasts. While weather analysts issue point estimates and confidence intervals based on climate models, prediction markets aggregate dispersed information through price discovery. Traders incorporate latest satellite data, atmospheric patterns, and seasonal trends into their bids. Market odds tend to update faster than official forecasts when new signals emerge, making them a complementary data source for assessing temperature probability distributions on May 28 in Amsterdam.
The market resolves on May 28, 2026, after the highest temperature in Amsterdam on May 28 has been recorded and verified. Resolution depends on official meteorological data from authoritative weather stations in or near Amsterdam. The outcome is determined by the single highest temperature reading observed during the specified calendar day, measured in degrees Celsius. Once the data is confirmed and published by the relevant weather authority, the market settles to the corresponding outcome contract, and traders receive payouts based on their positions.
Major weather pattern shifts, including changes to jet stream positioning, high-pressure system development, and Atlantic storm activity, will drive odds movements. Updated seasonal forecasts from meteorological agencies and ensemble model consensus changes significantly influence trader positioning. Cloud cover, wind patterns, and soil moisture anomalies in the weeks leading to May 28 can shift temperature expectations. Real-time weather alerts, heat wave watches, or cold fronts issued closer to the date will trigger sharp repricing. Historical temperature records and climate oscillations like the North Atlantic Oscillation also inform market adjustments.