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Science and Technology
Highest temperature in New York City on Aug 29, 2026?
kalshi

Highest temperature in New York City on Aug 29, 2026?

Volume:
$97,029

78° or below

 - Kalshi

78° or below - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 30, 2026

Closed: Aug 30, 1:00 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

78° or below

View
100%
35%
Yes 100¢No 0¢
100¢
N/A
$36,943
N/A
N/A
$18,059
Settled
Yes
kalshi

79° to 80°

View
0%
31%
Yes 0¢No 100¢
100¢
N/A
$29,967
N/A
N/A
$16,163
Settled
No
kalshi

81° to 82°

View
0%
6%
Yes 0¢No 100¢
100¢
N/A
$18,222
N/A
N/A
$12,259
Settled
No
kalshi

85° to 86°

View
0%
Yes 0¢No 100¢
100¢
N/A
$4,832
N/A
N/A
$4,409
Settled
No
kalshi

83° to 84°

View
0%
1%
Yes 0¢No 100¢
100¢
N/A
$4,670
N/A
N/A
$3,377
Settled
No
kalshi

87° or above

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,395
N/A
N/A
$2,395
Settled
No
Total markets: 6

Description

This event tracks the highest temperature reached in New York City on a specific date in the future. It categorizes possible temperature outcomes into distinct ranges, each corresponding to a different market resolution. The outcome depends solely on the official temperature recording from a designated weather authority.

Kalshi

The event resolves based on the maximum temperature recorded in New York City (CLINYC) on August 29, 2026, as reported by The Weather Company. Six distinct temperature ranges are defined, each corresponding to a specific market outcome. If the temperature falls within the range of 78°F or below, the first market resolves to Yes. If it falls between 79°F and 80°F, the second market resolves to Yes, and this pattern continues for subsequent ranges up to 85°F to 86°F. For any temperature above 86°F, the final market resolves to Yes. All outcomes are determined exclusively by The Weather Company's official reporting, and users should exercise caution with preliminary data due to potential rounding or conversion discrepancies.