TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 25, 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 25 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.
This market will resolve to the temperature range that contains the highest temperature recorded at the Singapore Changi Airport Station in degrees Celsius on 25 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.
Prediction market odds often diverge from traditional meteorological forecasts because they incorporate real-time trader positioning and risk appetite alongside expert models. While meteorologists publish deterministic or probabilistic temperature ranges based on atmospheric science, this market aggregates the collective judgment of traders betting real capital on the outcome. Comparing the current odds to published forecasts from Singapore's Meteorological Service or regional weather agencies can reveal whether traders are pricing in tail risks, model uncertainty, or recent data shifts that analysts may not yet have fully reflected. This divergence itself is valuable signal.
This market resolves around Jun 25, 2026, once June 25 has passed and the highest temperature recorded in Singapore that day is confirmed. The outcome is determined by verifying the actual temperature against credible public sources, such as official meteorological records or established weather databases. Once the data is finalized and verified, the market settles automatically, and traders' positions are credited or debited based on whether their chosen outcome matched the realized temperature. Resolution typically occurs within hours of the market end time.
Major weather pattern shifts, updated seasonal forecasts, or tropical system developments could significantly move odds in this market. Real-time atmospheric data releases, changes in sea surface temperatures, or monsoon intensity updates may prompt traders to reassess their positions. Historical temperature records for late June in Singapore, combined with current climate anomalies, also influence pricing. Additionally, any revision to regional weather models or unexpected atmospheric events—such as volcanic aerosol effects or sudden pressure systems—could trigger rapid repricing. Traders monitor meteorological bulletins and satellite imagery closely leading up to the resolution date.