TOTAL VOLUME:

$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

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in Philadelphia on Jul 14, 2026?
kalshi

Highest temperature in Philadelphia on Jul 14, 2026?

Volume:
$40,797

91° to 92°

 - Kalshi

91° to 92° - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jul 15, 2026

Closed: Jul 15, 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

91° to 92°

View
100%
Yes 100¢No 0¢
100¢
N/A
$19,343
N/A
N/A
$13,427
Settled
Yes
kalshi

93° to 94°

0%
Yes 0¢No 100¢
100¢
N/A
$7,680
N/A
N/A
$4,575
Settled
No
kalshi

89° to 90°

0%
Yes 0¢No 100¢
100¢
N/A
$5,409
N/A
N/A
$3,915
Settled
No
kalshi

95° to 96°

0%
Yes 0¢No 100¢
100¢
N/A
$4,348
N/A
N/A
$3,305
Settled
No
kalshi

97° or above

0%
Yes 0¢No 100¢
100¢
N/A
$2,282
N/A
N/A
$1,634
Settled
No
kalshi

88° or below

0%
Yes 0¢No 100¢
100¢
N/A
$1,734
N/A
N/A
$1,508
Settled
No
Total markets: 6

Description

This event predicts the highest temperature recorded at Philadelphia International Airport on July 14, 2026. The outcome will be determined by the official National Weather Service Climatological Report (Daily) for that date, with temperature ranges spanning from 88°F or below to 97°F or above.

Kalshi

Resolution is based on the highest temperature recorded at Philadelphia International Airport on July 14, 2026, as reported in the National Weather Service's Climatological Report (Daily). Temperature ranges are divided into six brackets: 88°F or below, 89-90°F, 91-92°F, 93-94°F, 95-96°F, and 97°F or above. Each bracket corresponds to a distinct market outcome. The final official NWS Climatological Report (Daily) value takes precedence over other weather data sources such as AccuWeather or Google Weather. Preliminary NWS reporting and measurement methods may be subject to underlying rounding and conversion nuances.