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 New York City on Aug 18, 2026?
kalshi

Highest temperature in New York City on Aug 18, 2026?

Volume:
$141,320

85° to 86°

 - Kalshi

85° to 86° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 19, 2026

Closed: Aug 19, 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

85° to 86°

View
100%
81%
Yes 100¢No 0¢
100¢
N/A
$34,279
N/A
N/A
$19,117
Settled
Yes
kalshi

84° or below

0%
81%
Yes 0¢No 100¢
100¢
N/A
$53,271
N/A
N/A
$31,549
Settled
No
kalshi

87° to 88°

0%
4%
Yes 0¢No 100¢
100¢
N/A
$44,157
N/A
N/A
$23,495
Settled
No
kalshi

89° to 90°

0%
1%
Yes 0¢No 100¢
100¢
N/A
$4,225
N/A
N/A
$4,225
Settled
No
kalshi

93° or above

0%
Yes 0¢No 100¢
100¢
N/A
$3,541
N/A
N/A
$3,541
Settled
No
kalshi

91° to 92°

0%
Yes 0¢No 100¢
100¢
N/A
$1,848
N/A
N/A
$1,847
Settled
No
Total markets: 6

Description

This event tracks the highest temperature recorded in New York City on a specific date in the future. It categorizes possible temperature outcomes into distinct ranges, each corresponding to a different resolution condition. The official data source determines the final result.

Kalshi

The event resolves based on the maximum temperature recorded in New York City (CLINYC) on August 18, 2026, as reported by The Weather Company. Six temperature ranges are defined: 84°F or below, 85-86°F, 87-88°F, 89-90°F, 91-92°F, and 93°F or above. If the recorded temperature falls within any of these ranges, the corresponding market resolves to Yes. All markets except the relevant one resolve to No. While other weather sources may provide guidance, The Weather Company’s data is the sole authority for determining the outcome. This structure ensures precise categorization of temperature outcomes for that specific date and location.