Highest temperature in Amsterdam on June 25?

Prediction market odds often diverge from traditional meteorological forecasts because traders incorporate real-time information, historical patterns, and their own risk assessments into prices. While weather analysts publish point estimates and confidence intervals based on numerical models, this market aggregates the collective judgment of many participants betting real capital on the outcome. Comparing the implied probability here to official forecasts from national weather services can reveal where traders see upside or downside risk relative to expert consensus.

On Polymarket, traders set prices by buying and selling outcome shares in an automated market maker, with each contract representing a specific temperature range. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current odds reflect the balance between bullish and bearish positions; as new information arrives—such as updated seasonal forecasts or atmospheric patterns—traders adjust their positions, moving prices continuously. Liquidity and trading volume directly influence how efficiently prices respond to new signals.

This market resolves around Jun 25, 2026, at which point the outcome is confirmed once the highest temperature recorded in Amsterdam on June 25 is verifiable from credible public sources. The winning outcome contract is determined by the actual peak temperature reading on that date, and all other contracts expire worthless. Traders holding the correct outcome share receive their payout based on the final odds at which they entered their position.

Major weather pattern shifts, updated seasonal forecasts, and atmospheric anomalies—such as heat waves or cold fronts—can significantly move prices. El Niño or La Niña developments, changes in solar activity, and historical temperature records for early summer in the Netherlands all serve as key signals traders monitor. Additionally, real-time weather model updates and unexpected climate events in adjacent regions may prompt traders to reassess their positions and adjust the implied probabilities.