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$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

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Kalshi:

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Highest temperature in Denver on Aug 1, 2026?
kalshi

Highest temperature in Denver on Aug 1, 2026?

Volume:
$61,923

94° to 95°

 - Kalshi

94° to 95° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 2, 2026

Closed: Aug 2, 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

94° to 95°

View
100%
Yes 100¢No 0¢
100¢
N/A
$27,549
N/A
N/A
$8,263
Settled
Yes
kalshi

92° to 93°

0%
Yes 0¢No 100¢
100¢
N/A
$23,603
N/A
N/A
$10,992
Settled
No
kalshi

96° or above

0%
Yes 0¢No 100¢
100¢
N/A
$6,104
N/A
N/A
$4,763
Settled
No
kalshi

90° to 91°

0%
Yes 0¢No 100¢
100¢
N/A
$2,686
N/A
N/A
$1,979
Settled
No
kalshi

88° to 89°

0%
Yes 0¢No 100¢
100¢
N/A
$1,035
N/A
N/A
$1,029
Settled
No
kalshi

87° or below

0%
Yes 0¢No 100¢
100¢
N/A
$947
N/A
N/A
$891
Settled
No
Total markets: 6

Description

This event tracks whether Denver, CO will experience specific temperature ranges on August 1, 2026. The outcome depends on the official National Weather Service report for that day, reflecting how weather conditions might influence local climate patterns and expectations.

Kalshi

The event determines the outcome based on the highest temperature recorded in Denver, CO on August 1, 2026, as officially reported by the National Weather Service's Climatological Report (Daily). Six distinct temperature ranges are defined, each corresponding to a separate market that resolves to Yes if the recorded high falls within that range. The official data source is critical, as preliminary or third-party weather reports may differ due to rounding or conversion nuances. Traders must rely solely on the NWS report to avoid discrepancies. The structure ensures precise categorization of temperature outcomes, allowing participants to assess probabilities across incremental temperature bands.