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Science and Technology
Highest temperature in Philadelphia on Jul 22, 2026?
kalshi

Highest temperature in Philadelphia on Jul 22, 2026?

Volume:
$31,864

90° or above

 - Kalshi

90° or above - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 23, 2026

Closed: Jul 23, 12:59 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

90° or above

View
100%
Yes 100¢No 0¢
100¢
N/A
$9,741
N/A
N/A
$5,083
Settled
Yes
kalshi

88° to 89°

View
0%
Yes 0¢No 100¢
100¢
N/A
$11,771
N/A
N/A
$6,246
Settled
No
kalshi

86° to 87°

View
0%
Yes 0¢No 100¢
100¢
N/A
$5,307
N/A
N/A
$3,034
Settled
No
kalshi

84° to 85°

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,087
N/A
N/A
$2,281
Settled
No
kalshi

82° to 83°

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,466
N/A
N/A
$1,449
Settled
No
kalshi

81° or below

View
0%
Yes 0¢No 100¢
100¢
N/A
$494
N/A
N/A
$477
Settled
No
Total markets: 6

Description

This event tracks the highest temperature recorded at Philadelphia International Airport on July 22, 2026. The temperature will be measured and reported by the National Weather Service's official Climatological Report (Daily), which serves as the authoritative source for resolution.

Kalshi

Resolution is determined by the highest temperature recorded at Philadelphia International Airport on July 22, 2026, as reported in the National Weather Service's Climatological Report (Daily). The temperature is divided into six distinct ranges: 81°F or below, 82–83°F, 84–85°F, 86–87°F, 88–89°F, and 90°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) is the official and final source for temperature determination. While preliminary NWS data and third-party weather services like AccuWeather or Google Weather may provide guidance, traders should note that preliminary reporting and measurement methods may involve rounding and conversion nuances that could affect interpretation of the data.