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Highest temperature in New Orleans on Jul 17, 2026?
kalshi

Highest temperature in New Orleans on Jul 17, 2026?

Volume:
$14,381

93° to 94°

 - Kalshi

93° to 94° - Kalshi

1W

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Positive

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Vol.

·

Resolved Jul 18, 2026

Closed: Jul 18, 2:00 AM EST

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

93° to 94°

View
100%
Yes 100¢No 0¢
100¢
N/A
$4,476
N/A
N/A
$3,267
Settled
Yes
kalshi

95° to 96°

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,667
N/A
N/A
$1,930
Settled
No
kalshi

92° or below

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,068
N/A
N/A
$1,657
Settled
No
kalshi

101° or above

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,751
N/A
N/A
$1,522
Settled
No
kalshi

97° to 98°

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,664
N/A
N/A
$1,002
Settled
No
kalshi

99° to 100°

View
0%
Yes 0¢No 100¢
100¢
N/A
$756
N/A
N/A
$656
Settled
No
Total markets: 6

Description

This market tracks the highest temperature recorded in New Orleans on July 17, 2026. The outcome will be determined by the official National Weather Service Climatological Report (Daily) for New Orleans, with resolution based on which temperature range the recorded high falls into.

Kalshi

Resolution is determined by the maximum temperature recorded at New Orleans, LA on July 17, 2026, according to the National Weather Service's Climatological Report (Daily). The official data source is accessed via the NWS New Orleans office website by navigating to the Observed Weather tab and selecting New Orleans, LA with Daily Climate Report. Traders should use the latest version of the data for the specified date, recognizing that different cities update their reports at varying frequencies. While preliminary NWS data and other weather sources like AccuWeather or Google Weather may provide guidance, the final resolution value is exclusively determined by the NWS Climatological Report (Daily). Preliminary NWS reporting and measurement methods may be subject to rounding and conversion nuances that traders should consider when interpreting data.