TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

events

MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in New Orleans on Aug 10, 2026?
kalshi

Highest temperature in New Orleans on Aug 10, 2026?

Volume:
$33,467

93° to 94°

 - Kalshi

93° to 94° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 11, 2026

Closed: Aug 11, 2:00 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

93° to 94°

View
100%
74%
Yes 100¢No 0¢
100¢
N/A
$10,011
N/A
N/A
$6,321
Settled
Yes
kalshi

91° to 92°

0%
49%
Yes 0¢No 100¢
100¢
N/A
$9,575
N/A
N/A
$5,392
Settled
No
kalshi

89° to 90°

0%
20%
Yes 0¢No 100¢
100¢
N/A
$7,328
N/A
N/A
$5,263
Settled
No
kalshi

95° or above

0%
2%
Yes 0¢No 100¢
100¢
N/A
$4,538
N/A
N/A
$3,405
Settled
No
kalshi

87° to 88°

0%
Yes 0¢No 100¢
100¢
N/A
$1,135
N/A
N/A
$1,092
Settled
No
kalshi

86° or below

0%
Yes 0¢No 100¢
100¢
N/A
$880
N/A
N/A
$875
Settled
No
Total markets: 6

Description

This event tracks the highest temperature recorded in New Orleans on a specific date in the future, using official government data. Participants assess weather conditions and historical trends to predict temperature ranges, with outcomes determined by verified meteorological reports.

Kalshi

All markets resolve based solely on the maximum temperature recorded in New Orleans on August 10, 2026, as reported by the National Weather Service's Climatological Report (Daily). Each market corresponds to a specific temperature range: 86°F or below, 87-88°F, 89-90°F, 91-92°F, 93-94°F, or 95°F and above. The official data must be accessed via the provided NWS URL, navigating to the 'Observed Weather' tab for New Orleans, LA, using the Daily Climate Report. Traders should rely only on the final NWS report, as preliminary data may contain rounding or conversion discrepancies. All outcomes depend on the exact temperature value falling within the defined range for each market, with no consideration for alternative weather sources.