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Science and Technology
Highest temperature in Philadelphia on Aug 30, 2026?
kalshi

Highest temperature in Philadelphia on Aug 30, 2026?

Volume:
$40,250

86° to 87°

 - Kalshi

86° to 87° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 31, 2026

Closed: Aug 31, 1:00 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

86° to 87°

View
100%
47%
Yes 100¢No 0¢
100¢
N/A
$8,353
N/A
N/A
$4,826
Settled
Yes
kalshi

83° or below

View
0%
7%
Yes 0¢No 100¢
100¢
N/A
$11,841
N/A
N/A
$10,554
Settled
No
kalshi

84° to 85°

View
0%
10%
Yes 0¢No 100¢
100¢
N/A
$11,061
N/A
N/A
$9,666
Settled
No
kalshi

88° to 89°

View
0%
28%
Yes 0¢No 100¢
100¢
N/A
$6,810
N/A
N/A
$3,304
Settled
No
kalshi

90° to 91°

View
0%
3%
Yes 0¢No 100¢
100¢
N/A
$1,290
N/A
N/A
$1,202
Settled
No
kalshi

92° or above

View
0%
Yes 0¢No 100¢
100¢
N/A
$894
N/A
N/A
$756
Settled
No
Total markets: 6

Description

This event tracks the highest temperature reached in Philadelphia on a specific date in the future. It uses a single authoritative weather source to determine the outcome, ensuring consistency despite variations in other weather reports. The event is designed to test predictions about weather conditions on that particular day.

Kalshi

The event determines whether the maximum temperature recorded at Philadelphia (CLIPHL) on August 30, 2026, falls within specific Fahrenheit ranges as reported by The Weather Company. Six distinct temperature ranges are defined: less than 84°F, between 84°F and 85°F, between 86°F and 87°F, between 88°F and 89°F, between 90°F and 91°F, and greater than 91°F. If the recorded maximum temperature matches any of these ranges, the corresponding market resolves to Yes. All outcomes rely exclusively on The Weather Company's official reporting, with users advised that preliminary data may vary due to rounding or conversion differences. This singular source approach eliminates ambiguity from conflicting weather data across platforms.