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 1, 8:00 AM EST
Polymarket
This market will resolve to the temperature range that contains the lowest temperature recorded at the Tokyo Haneda Airport Station in degrees Celsius on 1 Jul '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 Tokyo Haneda Airport Station, available here: https://www.wunderground.com/history/daily/jp/tokyo/RJTT. 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 Tokyo Haneda Airport Station in degrees Celsius on 1 Jul '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 Tokyo Haneda Airport Station, available here: https://www.wunderground.com/history/daily/jp/tokyo/RJTT. 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 reflect real-money incentives and crowd wisdom rather than model-based projections alone. While weather analysts rely on atmospheric data and historical patterns, traders in this market incorporate broader information—including long-range climate trends, seasonal anomalies, and recent temperature swings. The odds can shift rapidly as new data emerges, sometimes leading or lagging official forecasts. Comparing the two reveals whether the market is pricing in more optimism or caution than the expert consensus, making it a useful cross-check for understanding temperature expectations.
This market resolves around Jul 1, 2026, once the lowest temperature recorded in Tokyo on July 1 becomes verifiable from credible public sources. The outcome is determined by comparing actual meteorological data against the contract's specified threshold, with no ambiguity in measurement. Resolution typically occurs within hours of the market end date, allowing traders to settle their positions quickly. The event itself is objective and independently observable, making disputes rare.
Several factors could shift odds significantly before resolution. Extended weather forecasts showing heat waves or cooler patterns will influence trader positioning, as will real-time atmospheric data and seasonal climate updates. Major weather systems—tropical storms, high-pressure domes, or unusual jet stream behavior—can trigger sharp repricing. Historical temperature records for early July in Tokyo also serve as anchors; traders may adjust if comparable years are cited in media or forecasts. As the date approaches, intraday weather models become more precise, often triggering final volatility spikes as the market converges on the actual outcome.