TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in New York City on Sep 2, 2026?
kalshi

Highest temperature in New York City on Sep 2, 2026?

Volume:
$70,523

74° or below

 - Kalshi

74° or below - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 3, 2026

Closed: Sep 3, 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

74° or below

View
100%
12%
Yes 100¢No 0¢
100¢
N/A
$27,007
N/A
N/A
$14,854
Settled
Yes
kalshi

75° to 76°

0%
13%
Yes 0¢No 100¢
100¢
N/A
$23,358
N/A
N/A
$13,257
Settled
No
kalshi

77° to 78°

0%
3%
Yes 0¢No 100¢
100¢
N/A
$11,785
N/A
N/A
$5,357
Settled
No
kalshi

79° to 80°

0%
1%
Yes 0¢No 100¢
100¢
N/A
$3,878
N/A
N/A
$2,006
Settled
No
kalshi

83° or above

0%
Yes 0¢No 100¢
100¢
N/A
$2,626
N/A
N/A
$2,565
Settled
No
kalshi

81° to 82°

0%
Yes 0¢No 100¢
100¢
N/A
$1,869
N/A
N/A
$1,531
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 uses a single authoritative source to determine the outcome, ensuring consistency despite variations in how different services might report the data. Participants can assess likelihood based on historical trends and climate projections.

Kalshi

The event resolves based on the maximum temperature recorded in New York City (CLINYC) on September 2, 2026, as reported by The Weather Company. Six separate temperature ranges define the possible outcomes, each triggering a 'Yes' resolution for its corresponding market if the recorded high falls within that range. All markets share identical secondary rules emphasizing that The Weather Company’s official report is definitive, even if other services show different values. Participants should exercise caution with preliminary readings, as rounding or conversion discrepancies may occur before the final data is published.