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 daytime high temperature in Oklahoma City, Oklahoma. This event captures the full range of possible maximum temperatures that could occur that day.
Prediction market odds on Kalshi reflect real-time aggregation of trader beliefs about May 27 temperatures in Oklahoma City, often incorporating meteorological models and historical climate patterns faster than traditional analyst forecasts. While weather analysts typically issue point estimates or ranges based on ensemble models, prediction markets price uncertainty continuously as new data arrives. The market's implied probability can diverge from analyst consensus when traders anticipate unusual atmospheric conditions, late-season heat waves, or anomalies that models may underweight. This dynamic pricing often provides an alternative gauge of temperature likelihood.
Several factors could shift market odds for Oklahoma City's May 27 high temperature. Major weather pattern changes—such as an early heat dome, cold front, or tropical moisture influx—would reprrice expectations significantly. Updated seasonal forecasts, El Niño or La Niña developments, and real-time atmospheric indices (jet stream position, upper-level ridging) influence trader positioning. As May approaches, high-resolution numerical weather models become more reliable, often triggering sharp repricing. Additionally, historical analogues to similar late-May weather patterns and any unusual solar or volcanic activity could move the market. Traders typically increase activity as the event date nears and model consensus solidifies.