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$134.2b

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2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

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events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

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Highest temperature in Oklahoma City on May 27, 2026?
kalshi

Highest temperature in Oklahoma City on May 27, 2026?

Volume:
$29,304

77° to 78°

 - Kalshi

77° to 78° - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved May 28, 2026

Closed: May 28, 2:00 AM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

77° to 78°

View
100%
Yes 100¢No 0¢
100¢
N/A
$6,369
N/A
N/A
$4,754
Settled
Yes
kalshi

75° to 76°

0%
Yes 0¢No 100¢
100¢
N/A
$6,276
N/A
N/A
$5,108
Settled
No
kalshi

83° or above

0%
Yes 0¢No 100¢
100¢
N/A
$5,349
N/A
N/A
$3,891
Settled
No
kalshi

74° or below

0%
Yes 0¢No 100¢
100¢
N/A
$4,231
N/A
N/A
$3,102
Settled
No
kalshi

79° to 80°

0%
Yes 0¢No 100¢
100¢
N/A
$4,083
N/A
N/A
$1,988
Settled
No
kalshi

81° to 82°

0%
Yes 0¢No 100¢
100¢
N/A
$2,996
N/A
N/A
$2,223
Settled
No
Total markets: 6

Description

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.

Frequently asked questions

The dashboard tracks real-time odds and trading activity for the highest temperature prediction in Oklahoma City on May 27, 2026, on Kalshi. It displays current market prices, historical price movements, and live 24-hour trading volume of $22,159. The interface shows the top outcome and its implied probability, allowing traders to monitor how the market reprices as new weather data and forecasts emerge. Total group volume stands at $29,304, reflecting sustained trader interest in this late-spring temperature event.

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.