TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 28, 2:00 AM EST
Kalshi
This market tracks whether the highest temperature in San Antonio on May 27, 2026, will fall within the 84-85° Fahrenheit range. On Kalshi, the leading outcome—a high of 84-85°—stands at 99.0%, while temperatures below 82° carry just 1.0% probability. Resolution will be determined by the National Weather Service's Climatological Report (Daily) for San Antonio on May 27, 2026. Watch the actual temperature reading from the National Weather Service on May 28, 2026, when the official daily maximum is recorded and reported.
Prediction market odds on Kalshi reflect aggregated trader expectations and can be compared against traditional weather forecasts from meteorological agencies and climate analysts. While meteorologists rely on atmospheric models and historical data, prediction markets incorporate real-time information and financial incentives for accuracy. Comparing the implied probability from Kalshi to official National Weather Service forecasts or seasonal climate outlooks can reveal whether traders are pricing in more optimistic or pessimistic temperature scenarios than expert consensus.
The market resolves on May 28, 2026. Resolution is determined by the official recorded maximum temperature in San Antonio on May 27, 2026, typically sourced from National Weather Service data or equivalent meteorological authorities. The outcome will be compared against the contract's specified temperature threshold to determine which side of the binary contract is correct. Traders should monitor official weather station reports and any announcements from the resolution authority as the event date approaches.
Several factors could shift odds for San Antonio's May 27 high temperature. Seasonal weather pattern updates, such as shifts in high-pressure systems or tropical activity, can alter trader expectations. Long-range forecast model consensus changes in spring months will influence pricing. El Niño or La Niña conditions, jet stream positioning, and historical temperature anomalies for late May in Texas all serve as signals. As May 2026 approaches, near-term weather forecasts will become increasingly accurate and drive final price convergence toward the actual outcome.