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 24, 12:59 AM EST
Kalshi
This event tracks daily average temperatures in San Antonio during a specific week to determine if temperatures exceed a set threshold for consecutive days. The focus is on identifying patterns of high temperatures over a short period, reflecting potential heatwave conditions.
The event evaluates whether San Antonio experiences consecutive days with average temperatures strictly above 90°F during the week of August 18–24, 2026, based on data from KSAT. Each market requires a different minimum number of consecutive qualifying days (from two to six days). A qualifying day is calculated as the arithmetic mean of hourly temperatures reported by The Weather Company from 12:00 AM to 11:59 PM local time, rounded to the nearest whole degree. An average of exactly 90°F does not qualify. Any day with fewer than 18 reported hourly values invalidates that day and breaks the streak. All data used for resolution is taken from the published values at the expiration time, with later revisions disregarded. The outcome depends on whether the recorded temperatures meet or exceed the consecutive-day thresholds specified for each market.
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 San Antonio will be examined to determine if the required number of consecutive days achieved an average temperature above 90°F during the targeted week. No subjective judgment is involved — the result is binary and based solely on published data.
Between now and resolution, this market could shift based on medium- to long-range weather outlooks issued by recognized services, sudden changes in atmospheric patterns, or emerging climate narratives influencing trader sentiment. For example, an early heat wave or a cooler-than-expected forecast might adjust probability estimates. Additionally, any surge in trading volume — especially near Aug 25, 2026 — often signals new information entering the market, causing rapid price adjustments as participants reassess their positions.