TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
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 LaGuardia Airport Station in degrees Fahrenheit 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 LaGuardia Airport Station, available here: https://www.wunderground.com/history/daily/us/ny/new-york-city/KLGA. 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 Fahrenheit (eg, 21°F). 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 LaGuardia Airport Station in degrees Fahrenheit 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 LaGuardia Airport Station, available here: https://www.wunderground.com/history/daily/us/ny/new-york-city/KLGA. 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 Fahrenheit (eg, 21°F). 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 reflect real-money bets from traders worldwide, often incorporating meteorological forecasts, historical patterns, and emerging weather models. Unlike traditional analyst predictions, this market aggregates decentralized opinion through price discovery. When meteorologists issue their June 25 temperature forecasts, you can compare their point estimates directly against the odds implied by this market. Traders who believe official forecasts underestimate or overestimate the likelihood of cooler or warmer conditions will adjust positions accordingly, creating a dynamic benchmark for how the crowd views the outcome relative to expert consensus.
This market resolves around Jun 25, 2026, once June 25 has passed and the day's highest temperature can be verified. The outcome is determined by comparing the actual peak temperature recorded in New York City against the threshold specified in the market contract. Once credible public reporting confirms the final temperature, the market settles automatically, and traders' positions are paid out according to whether their prediction was correct. Resolution typically occurs within hours of the close of the trading day.
Major weather model updates and seasonal forecasts from meteorological agencies can significantly shift odds as new data becomes available. Unusual atmospheric patterns, jet stream positioning, or tropical systems developing weeks in advance may alter long-range temperature expectations. As June 25 approaches, daily forecasts become more precise, typically narrowing uncertainty and sharpening the market's pricing. Real-time weather alerts, heat waves affecting the Northeast, or sudden pattern changes in the days before the event can trigger sharp moves. Traders monitor these signals closely and adjust positions, making the odds a dynamic reflection of evolving weather intelligence.