TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 4, 8:00 AM EST
Polymarket
This market will resolve to the temperature range that contains the highest temperature recorded at the Singapore Changi Airport Station in degrees Celsius on 4 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 Singapore Changi Airport Station, available here: https://www.wunderground.com/history/daily/sg/singapore/WSSS. 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 4, 2026, after the highest temperature in Singapore on June 4 has been recorded and verified. Resolution depends on official temperature data from Singapore's meteorological authority or designated weather station. The actual peak temperature recorded on that date determines which outcome share wins. Once the data is confirmed and the market settles, traders holding winning shares receive their payout based on the final odds at which they held their position.
Several factors can shift odds for Singapore's highest temperature on June 4. Major weather pattern changes—such as monsoon onset, tropical storm activity, or shifts in regional pressure systems—will influence trader expectations. Updated seasonal forecasts from meteorological agencies can trigger repricing. Unusual atmospheric conditions weeks before the event, such as El Niño or La Niña effects, may alter baseline temperature expectations. As June 4 approaches, short-term weather models become more reliable, typically causing odds to converge around more precise forecasts. Real-time atmospheric data and any extreme weather alerts will also drive market movement.