TOTAL VOLUME:
$134.2b
24H VOL:
$129,159,707
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,442,132,418
404,744
Markets across
30,489
events
MATCHED EVENTS:
2,691
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 Dallas, Texas. This event captures the full range of possible minimum temperatures that could occur that day.
Prediction market odds on Kalshi reflect real-time aggregated trader beliefs about Dallas's minimum temperature on May 27, 2026, often incorporating meteorological models and historical patterns faster than traditional analyst forecasts. While weather analysts typically issue deterministic point estimates or narrow ranges, prediction markets price in uncertainty and tail risks across a spectrum of outcomes. Market odds tend to converge toward consensus when high-confidence signals emerge, but may diverge when traders disagree on model reliability or weighting. Comparing market probabilities to seasonal climate normals and numerical weather prediction ensembles can reveal where traders see upside or downside surprises relative to baseline expectations.
The Lowest temperature in Dallas on May 27, 2026 market resolves on May 28, 2026. Resolution is determined by the actual minimum temperature recorded in Dallas on May 27, 2026, which is matched against the temperature ranges defined in each contract. The outcome is established once official temperature data becomes available and is verified against the specified source. Traders holding contracts aligned with the realized temperature range receive payouts, while mismatched positions expire worthless. The resolution process ensures that market prices reflect genuine expectations about a measurable, objective meteorological event.
Several factors could shift odds for Dallas's May 27 minimum temperature. Major weather pattern changes—such as a cold front, high-pressure system, or tropical moisture intrusion—would alter model consensus and trader positioning. Updated seasonal forecasts, El Niño or La Niña evolution, and anomalies in upper-level atmospheric circulation could signal cooler or warmer conditions. Real-time model runs from the National Weather Service and European Centre for Medium-Range Weather Forecasts will become increasingly precise as May approaches. Historical analogs and analogous years with similar atmospheric setups may influence trader behavior. Finally, any significant climate or weather events in late April or early May could reshape expectations for late-month Dallas temperatures.