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Highest temperature in New Orleans on Aug 18, 2026?
kalshi

Highest temperature in New Orleans on Aug 18, 2026?

Volume:
$32,080

95° to 96°

 - Kalshi

95° to 96° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Aug 19, 2026

Closed: Aug 19, 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

95° to 96°

View
100%
41%
Yes 100¢No 0¢
100¢
N/A
$9,492
N/A
N/A
$5,676
Settled
Yes
kalshi

97° to 98°

View
0%
27%
Yes 0¢No 100¢
100¢
N/A
$9,772
N/A
N/A
$4,988
Settled
No
kalshi

94° or below

View
0%
36%
Yes 0¢No 100¢
100¢
N/A
$6,684
N/A
N/A
$4,494
Settled
No
kalshi

99° to 100°

View
0%
2%
Yes 0¢No 100¢
100¢
N/A
$2,776
N/A
N/A
$2,411
Settled
No
kalshi

103° or above

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,725
N/A
N/A
$2,694
Settled
No
kalshi

101° to 102°

View
0%
Yes 0¢No 100¢
100¢
N/A
$630
N/A
N/A
$630
Settled
No
Total markets: 6

Description

This event tracks the highest temperature reached in New Orleans on a specific date in the future, using data from a designated weather authority. It helps participants assess climate conditions and temperature trends for that exact day. The outcome depends solely on the official temperature recording from the chosen source.

Kalshi

The event determines the outcome based on the maximum temperature recorded in New Orleans (CLIMSY) on August 18, 2026, as reported by The Weather Company. Six distinct temperature ranges are defined, each corresponding to a specific market resolution. If the temperature falls within any of these ranges, the associated market resolves to Yes; otherwise, it resolves to No. All markets share the same data source and date, ensuring consistency. While other weather services may provide similar data, The Weather Company's report is the sole authority for resolving all markets, eliminating discrepancies from varying data sources. This structure allows participants to evaluate the likelihood of different temperature scenarios for the specified day.