TOTAL VOLUME:

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24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

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2,692

PLATFORM COVERAGE:

5

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Kalshi:

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Highest temperature in Oklahoma City on Aug 19, 2026?
kalshi

Highest temperature in Oklahoma City on Aug 19, 2026?

Volume:
$59,927

106° or below

 - Kalshi

106° or below - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 20, 2026

Closed: Aug 20, 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

106° or below

View
100%
94%
Yes 100¢No 0¢
100¢
N/A
$16,824
N/A
N/A
$9,700
Settled
Yes
kalshi

107° to 108°

0%
33%
Yes 0¢No 100¢
100¢
N/A
$20,708
N/A
N/A
$6,844
Settled
No
kalshi

109° to 110°

0%
59%
Yes 0¢No 100¢
100¢
N/A
$13,795
N/A
N/A
$4,307
Settled
No
kalshi

111° to 112°

0%
8%
Yes 0¢No 100¢
100¢
N/A
$7,082
N/A
N/A
$2,322
Settled
No
kalshi

113° to 114°

0%
1%
Yes 0¢No 100¢
100¢
N/A
$910
N/A
N/A
$863
Settled
No
kalshi

115° or above

0%
Yes 0¢No 100¢
100¢
N/A
$609
N/A
N/A
$608
Settled
No
Total markets: 6

Description

This event tracks the highest temperature reached in Oklahoma City on a specific date in 2026. It uses a trusted weather data provider to determine the outcome, ensuring consistency despite variations across different weather services. Participants can assess historical trends and seasonal forecasts to gauge potential temperature ranges.

Kalshi

The event resolves based on the maximum temperature recorded at Oklahoma City (CLIOKC) on August 19, 2026, as reported by The Weather Company. Six distinct temperature ranges define possible outcomes: less than 107°F, between 107°F and 108°F, between 109°F and 110°F, between 111°F and 112°F, between 113°F and 114°F, and greater than 114°F. Each range corresponds to a specific market resolution. While other weather services may provide similar data, The Weather Company’s report is the sole authority for determining the final outcome. This approach standardizes evaluation and eliminates ambiguity from discrepancies between different weather data sources.