TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 24, 12:59 AM EST
Kalshi
This event tracks whether New Orleans will experience consecutive days of high temperatures during a specific week. It focuses on the number of days in a row where the average temperature exceeds a set threshold, reflecting potential heatwave conditions.
The event evaluates multiple thresholds of consecutive days with average temperatures strictly above 90°F at KMSY in New Orleans from August 18 to August 24, 2026. For any market to resolve as Yes, the specified number of consecutive days (ranging from 2 to 6 days) must all meet the temperature requirement. Each day's average temperature is calculated as the mean of hourly values reported by The Weather Company from midnight to midnight local time, rounded to the nearest whole degree. Data is locked at the expiration time, and later revisions are ignored. A day with exactly 90°F does not count, and any day with fewer than 18 hourly reports breaks the streak, preventing it from contributing to the consecutive count. Only days within the specified date range are considered for streaks toward any outcome.
This market resolves around Aug 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, official meteorological records for New Orleans will be examined for the week of August 18, 2026, to determine whether consecutive days met the 90°F average threshold. The result is binary — either the streak occurred or it did not — and is settled based on publicly available data.
Between now and resolution, this market could shift based on medium-term weather outlooks from agencies like the National Weather Service, which may update probability maps for extreme heat in the Gulf Coast. Sudden shifts in atmospheric patterns, such as the development of a high-pressure ridge or an early tropical system, would also influence trader sentiment. Additionally, any significant change in seasonal climate forecasts — for instance, from NOAA’s Climate Prediction Center — may cause volatility as participants reassess the likelihood of sustained heat.