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: May 28, 2:00 AM EST
Kalshi
On May 27, 2026, the National Weather Service will record the overnight low temperature in Austin, Texas. This event captures the full range of possible minimum temperatures that could occur that day.
Prediction market odds on Kalshi aggregate real-time trader expectations about Austin's minimum temperature on May 27, 2026, often reflecting a crowd-sourced consensus that can differ from traditional meteorological forecasts. While weather analysts rely on numerical models and historical climate data, prediction markets incorporate trader beliefs about model accuracy, potential weather pattern shifts, and seasonal trends. The market's current pricing suggests strong conviction about temperature thresholds. Comparing market odds to National Weather Service seasonal outlooks or climate normals for late May in Austin can reveal where traders expect conditions to deviate from historical averages.
The Lowest temperature in Austin on May 27, 2026 market resolves on May 28, 2026, after the date in question has passed and official temperature data is recorded. Resolution is determined by the actual minimum temperature recorded in Austin on May 27, 2026, as reported by the designated weather authority. Once the official low temperature is confirmed, the market settles based on whether it meets or exceeds the specified threshold outlined in the contract terms. Traders holding shares in the winning outcome receive their payout, while losing shares expire worthless.
Several factors could shift market pricing for Austin's May 27, 2026 low temperature. Major weather pattern changes—such as shifts in jet stream position, development of high or low pressure systems, or tropical activity—can alter seasonal forecasts weeks in advance. Updated climate outlooks from NOAA or other meteorological agencies may signal warmer or cooler than normal conditions for late May. Historical analog years and El Niño or La Niña patterns influence long-range expectations. As May approaches, deterministic weather models become more reliable, potentially triggering sharp repricing. Unusual spring heat waves or cold snaps in preceding weeks could also shift trader sentiment about Austin's temperature trajectory.