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: Jul 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 Jul '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.
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 Jul '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.
Prediction market odds and traditional weather forecasts serve complementary roles. While meteorological agencies issue deterministic temperature ranges based on atmospheric models, this market distills trader expectations into a single probability. Prediction markets often incorporate analyst forecasts as one input, but also reflect real-time sentiment, historical accuracy, and risk appetite among participants. If professional forecasters and traders converge on similar outcomes, odds tend to stabilize; divergence may signal either new information or differing confidence levels. Comparing the two can reveal where market participants see upside or downside risk relative to official guidance.
This market resolves around Jul 4, 2026, once the highest temperature recorded in Singapore on July 4 is verifiable from credible public sources. The outcome is determined by comparing the final temperature reading against the specified threshold in the market's terms. Resolution typically occurs within hours or a day after the event concludes, allowing traders to settle their positions based on the confirmed data. Until that point, prices may fluctuate as traders adjust their bets based on intraday weather developments and forecaster updates.
Several factors can shift odds before Jul 4, 2026. Updated weather models from meteorological agencies—particularly those issued days or hours before July 4—often trigger repricing as traders incorporate new atmospheric data. Seasonal climate patterns, historical temperature records for that date, and any unusual weather systems approaching the region can all influence trader positioning. Real-time conditions on the day itself, such as cloud cover, wind patterns, or unexpected weather events, may cause sharp moves as traders react to live observations. Major weather alerts or forecaster revisions typically generate the most significant trading activity and price swings.