TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in Philadelphia on Jul 13, 2026?
kalshi

Highest temperature in Philadelphia on Jul 13, 2026?

Volume:
$28,293

85° to 86°

 - Kalshi

85° to 86° - Kalshi

1W

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Vol.

·

Resolved Jul 14, 2026

Closed: Jul 14, 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

85° to 86°

View
100%
Yes 100¢No 0¢
100¢
N/A
$8,937
N/A
N/A
$4,785
Settled
Yes
kalshi

83° to 84°

0%
Yes 0¢No 100¢
100¢
N/A
$6,799
N/A
N/A
$6,338
Settled
No
kalshi

87° to 88°

0%
Yes 0¢No 100¢
100¢
N/A
$6,597
N/A
N/A
$4,474
Settled
No
kalshi

89° to 90°

0%
Yes 0¢No 100¢
100¢
N/A
$2,958
N/A
N/A
$2,491
Settled
No
kalshi

91° or above

0%
Yes 0¢No 100¢
100¢
N/A
$2,009
N/A
N/A
$1,574
Settled
No
kalshi

82° or below

0%
Yes 0¢No 100¢
100¢
N/A
$993
N/A
N/A
$911
Settled
No
Total markets: 6

Description

This market predicts the highest temperature that will be recorded at Philadelphia International Airport on July 13, 2026. The outcome will be determined by the official National Weather Service Climatological Report (Daily) for that date, with temperature ranges spanning from 82°F or below to 91°F or above.

Kalshi

Resolution is based on the highest temperature recorded at Philadelphia International Airport on July 13, 2026, as reported in the National Weather Service's Climatological Report (Daily). Temperature ranges are divided into six brackets: 82°F or below, 83-84°F, 85-86°F, 87-88°F, 89-90°F, and 91°F or above. Each bracket corresponds to a distinct market outcome. The official final value from the NWS Climatological Report (Daily) takes precedence over other weather data sources such as AccuWeather or Google Weather. Traders should exercise caution when interpreting preliminary NWS data, as measurement methods may be subject to underlying rounding and conversion nuances.