TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 29, 8:00 AM EST
Polymarket
This market tracks whether the highest temperature recorded at Amsterdam Airport Schiphol Station on May 29, 2026 will fall within specific degree ranges. On Polymarket, the leading outcome—a high of 28°C—stands at 35.5%, while a high of 27°C holds 29.5% probability. Resolution will be determined by historical temperature data from Weather Underground. Watch the actual weather conditions as May 29, 2026 approaches to gauge whether Amsterdam experiences the warmer or cooler scenario priced into the market.
Prediction market odds on Polymarket reflect real-time trader conviction and aggregate information from thousands of participants, often diverging from traditional meteorological forecasts. While weather analysts rely on numerical models and historical patterns, prediction markets incorporate breaking news, model updates, and market dynamics. For the May 29 Amsterdam temperature event, comparing the market's implied probability to official forecasts from national weather services or climate analysts can reveal whether traders are pricing in more or less extreme heat than experts currently expect. This comparison highlights how decentralized markets may discount or amplify official guidance.
The market resolves on May 29, 2026, after the highest temperature in Amsterdam on May 29 is recorded and finalized. Resolution hinges on official temperature data for that date, with the outcome determined by whether the daily high meets or exceeds the specified threshold. Once the event occurs and data is confirmed, the market settles and traders receive payouts based on their positions. The precise resolution criteria and data source are documented in the market's terms to ensure clarity and prevent disputes.
Several factors could shift odds for Amsterdam's May 29 high temperature. Updated weather models from European meteorological centers, particularly 7–14 day forecasts as the date approaches, often trigger significant repricing. High-pressure systems, heat waves affecting Western Europe, or unexpected cold fronts would alter trader expectations. Real-time atmospheric data, sea-surface temperatures, and solar activity may also influence positioning. News of climate anomalies or seasonal pattern shifts could prompt reassessment. As May 29 draws closer, forecast confidence typically increases, narrowing the range of plausible outcomes and potentially concentrating trading volume around the most likely temperature bands.