TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 7, 8:00 AM EST
Polymarket
This market will resolve to the temperature range that contains the highest temperature recorded at the Kuala Lumpur Intl Airport Station in degrees Celsius on 7 Jun '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Kuala Lumpur Intl Airport Station, available here: https://www.wunderground.com/history/daily/my/sepang-district/WMKK. To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C. This market can not resolve until the first data point for the following date has been published on the resolution source. The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market. Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
The market resolves on Jun 7, 2026, after the highest temperature for June 7 in Kuala Lumpur is officially recorded. Resolution is determined by comparing the actual maximum temperature recorded on that date against the predefined outcome thresholds embedded in the contract. Official meteorological data from recognized weather stations or agencies in Kuala Lumpur serves as the authoritative source for settlement, ensuring objective and verifiable outcome determination.
Temperature predictions for Kuala Lumpur on June 7 can shift based on updated weather forecasts, monsoon patterns, atmospheric pressure systems, and seasonal climate anomalies. Major weather events such as tropical storms, unusual wind patterns, or shifts in the Inter-monsoon period could alter expected highs. Real-time meteorological updates from regional weather services, changes in long-range climate models, and trader reactions to new forecast data will drive odds adjustments as the event date approaches, reflecting evolving expectations for that specific day.