TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 27, 8:00 AM EST
Polymarket
This market will resolve to the temperature range that contains the lowest temperature recorded at the Incheon Intl Airport Station in degrees Celsius on 27 Jun '26. The resolution source for this market will be information from Wunderground, specifically the lowest temperature recorded for all times on this day for the Incheon Intl Airport Station, available here: https://www.wunderground.com/history/daily/kr/incheon/RKSI. 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 lowest temperature recorded at the Incheon Intl Airport Station in degrees Celsius on 27 Jun '26. The resolution source for this market will be information from Wunderground, specifically the lowest temperature recorded for all times on this day for the Incheon Intl Airport Station, available here: https://www.wunderground.com/history/daily/kr/incheon/RKSI. 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 weather analyst forecasts because traders incorporate real-time data, model updates, and market sentiment into prices. While meteorologists publish deterministic or probabilistic forecasts based on numerical weather models, this market aggregates the collective judgment of traders betting on the actual outcome. Analyst forecasts tend to be more conservative and updated on fixed schedules, whereas market odds shift continuously as new information arrives. Comparing the two can reveal where traders see value relative to official predictions, though both approaches have distinct strengths in capturing uncertainty about Seoul's June 27 low temperature.
This market resolves around Jun 27, 2026, once June 27 has passed and the lowest temperature in Seoul can be verified. The outcome is confirmed against credible public sources that record the actual low temperature for that date. Traders holding positions on the correct outcome receive their winnings, while incorrect positions expire worthless. Resolution typically occurs within hours of the market end time, once official temperature data is published and validated. The specificity of the outcome—whether it matches a particular temperature threshold—determines which traders are correct.
Weather model updates are the primary driver of price movement in this market, as meteorological forecasts become more refined as June 27 approaches. Major weather systems, seasonal pattern shifts, or unexpected atmospheric conditions could alter expectations significantly. Real-time satellite imagery and ground observations in the days leading up to the event will influence trader positioning. Additionally, historical temperature anomalies or climate data releases may prompt reassessment of baseline expectations. As the date draws closer, any revision to official forecasts or emerging weather alerts could trigger sharp repricing, making this market sensitive to both incremental model changes and sudden meteorological developments.