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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Lowest temperature in New Orleans on Aug 31, 2026?
kalshi

Lowest temperature in New Orleans on Aug 31, 2026?

Volume:
$8,776

74° to 75°

 - Kalshi

74° to 75° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 1, 2026

Closed: Sep 1, 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

74° to 75°

View
100%
11%
Yes 100¢No 0¢
100¢
N/A
$3,637
N/A
N/A
$2,378
Settled
Yes
kalshi

78° to 79°

0%
1%
Yes 0¢No 100¢
100¢
N/A
$1,635
N/A
N/A
$1,518
Settled
No
kalshi

76° to 77°

0%
1%
Yes 0¢No 100¢
100¢
N/A
$1,047
N/A
N/A
$913
Settled
No
kalshi

80° or above

0%
1%
Yes 0¢No 100¢
100¢
N/A
$1,027
N/A
N/A
$653
Settled
No
kalshi

72° to 73°

0%
2%
Yes 0¢No 100¢
100¢
N/A
$720
N/A
N/A
$490
Settled
No
kalshi

71° or below

0%
1%
Yes 0¢No 100¢
100¢
N/A
$711
N/A
N/A
$444
Settled
No
Total markets: 6

Description

This event tracks the lowest temperature recorded in New Orleans on a specific date in the future. The outcome depends on how cold it gets during that night, with different ranges determining the result. It offers a way to speculate on future weather conditions based on official meteorological data.

Kalshi

The event resolves based on the minimum temperature recorded at New Orleans (CLIMSY) on August 31, 2026, as reported by The Weather Company. Six distinct temperature ranges are defined, each corresponding to a different market outcome. If the minimum temperature falls within a specific range, that market resolves to Yes; all others resolve to No. The Weather Company serves as the sole source for official temperature data, and users should exercise caution with preliminary readings due to potential rounding or conversion discrepancies. The final reported value, regardless of preliminary variations, determines the resolution. This structure ensures clarity and consistency in evaluating future weather conditions against predefined thresholds.