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Highest temperature in Denver on Jul 17, 2026?
kalshi

Highest temperature in Denver on Jul 17, 2026?

Volume:
$36,453

92° to 93°

 - Kalshi

92° to 93° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 18, 2026

Closed: Jul 18, 2:59 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

92° to 93°

View
100%
Yes 100¢No 0¢
100¢
N/A
$11,710
N/A
N/A
$7,913
Settled
Yes
kalshi

90° to 91°

View
0%
Yes 0¢No 100¢
100¢
N/A
$11,862
N/A
N/A
$5,450
Settled
No
kalshi

94° to 95°

View
0%
Yes 0¢No 100¢
100¢
N/A
$6,513
N/A
N/A
$4,115
Settled
No
kalshi

96° to 97°

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,810
N/A
N/A
$3,344
Settled
No
kalshi

89° or below

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,978
N/A
N/A
$1,900
Settled
No
kalshi

98° or above

View
0%
Yes 0¢No 100¢
100¢
N/A
$579
N/A
N/A
$579
Settled
No
Total markets: 6

Description

This event tracks the highest temperature recorded in Denver, Colorado on July 17, 2026. The outcome will be determined by the National Weather Service's official Climatological Report (Daily) for that date, with temperature ranges spanning from 89°F or below up to 98°F or above.

Kalshi

Resolution is based on the highest temperature recorded in Denver, Colorado on July 17, 2026, as reported in the National Weather Service's Climatological Report (Daily). The temperature is divided into six distinct ranges: 89°F or below, 90–91°F, 92–93°F, 94–95°F, 96–97°F, and 98°F or above. Each range corresponds to a separate market outcome that resolves to Yes if the recorded temperature falls within that range. The NWS Climatological Report (Daily) serves as the sole authoritative source for resolution; preliminary NWS data and alternative weather services such as AccuWeather or Google Weather may be consulted for guidance but are not binding. Traders should be aware that preliminary NWS reporting and measurement methods may involve rounding and conversion nuances that could affect interpretation of data.