TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 30, 11:59 PM EST
Kalshi
This event tracks whether San Diego will experience consecutive days of high temperatures during a specific week. It focuses on the frequency and duration of periods where daily average temperatures exceed a set threshold, reflecting potential impacts on local climate patterns and daily life.
The event evaluates whether San Diego experiences consecutive days with average temperatures strictly above 90°F during the week of August 24–30, 2026. Multiple markets within the event require varying minimum lengths of consecutive days—ranging from two to six days—to resolve to Yes. For any day to count, the average temperature must be calculated as the mean of hourly temperatures reported by The Weather Company for KSAN from midnight to midnight local time, rounded to the nearest whole degree. Exactly 90°F does not meet the condition. Only days within the specified week contribute to a streak, and any day with fewer than 18 reported hourly values invalidates the streak, resetting the count. All data used for resolution will be as published at the expiration time, with later revisions disregarded.
This market resolves around Sep 1, 2026, with the outcome confirmed once official temperature recordings from recognized meteorological agencies are verified against the required consecutive days above 90°F in San Diego for the specified week. The process relies on publicly available climate data sources to establish the final result.
Key signals include updated seasonal climate forecasts from national weather services, abrupt shifts in atmospheric pressure systems affecting Southern California, and emerging reports of unusual thermal patterns over the Pacific Ocean. Any significant deviation in predicted highs or prolonged dry spells could cause traders to adjust positions, moving this market toward or away from higher probability levels as new information arrives.