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Lowest temperature in New Orleans on Oct 26, 2026?
kalshi

Lowest temperature in New Orleans on Oct 26, 2026?

Volume:
$2,728

63° or above

 - Kalshi

63° or above - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 27, 2026

Closed: Oct 27, 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

63° or above

View
100%
16%
Yes 100¢No 0¢
—
N/A
$1,227
N/A
N/A
$956
Settled
Yes
kalshi

61° to 62°

View
0%
25%
Yes 0¢No 100¢
—
N/A
$599
N/A
N/A
$454
Settled
No
kalshi

55° to 56°

View
0%
1%
Yes 0¢No 100¢
—
N/A
$331
N/A
N/A
$331
Settled
No
kalshi

59° to 60°

View
0%
40%
Yes 0¢No 100¢
—
N/A
$258
N/A
N/A
$226
Settled
No
kalshi

57° to 58°

View
0%
1%
Yes 0¢No 100¢
—
N/A
$227
N/A
N/A
$203
Settled
No
kalshi

54° or below

View
0%
1%
Yes 0¢No 100¢
—
N/A
$85
N/A
N/A
$85
Settled
No
Total markets: 6

Description

This event tracks the lowest temperature recorded in New Orleans on a specific future date, using data from a designated weather provider. The outcome depends entirely on how cold it gets during that night, with different markets covering various temperature ranges.

Kalshi

All markets resolve based solely on the minimum temperature recorded at New Orleans (CLIMSY) on October 26, 2026, as reported by The Weather Company. Each market covers a specific temperature range: 54°F or below, 55-56°F, 57-58°F, 59-60°F, 61-62°F, or above 62°F. The Exchange may delay resolution if it identifies material errors in the initial data publication, extending until a corrected version appears or the expiration date passes. If data remains unavailable by expiration, all markets resolve at the last fair price determined by the Exchange. While other weather sources may show different values, only The Weather Company's official report determines outcomes. Preliminary readings may differ from final values due to rounding or conversion issues, so participants should exercise caution when interpreting early data.