TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

Markets across

30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Highest temperature in Los Angeles on Sep 1, 2026?
kalshi

Highest temperature in Los Angeles on Sep 1, 2026?

Volume:
$583,950

76° to 77°

 - Kalshi

76° to 77° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 2, 2026

Closed: Sep 2, 4:00 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

76° to 77°

View
100%
47%
Yes 100¢No 0¢
100¢
N/A
$108,609
N/A
N/A
$45,542
Settled
Yes
kalshi

75° or below

0%
41%
Yes 0¢No 100¢
100¢
N/A
$181,887
N/A
N/A
$92,487
Settled
No
kalshi

80° to 81°

0%
2%
Yes 0¢No 100¢
100¢
N/A
$96,067
N/A
N/A
$74,679
Settled
No
kalshi

78° to 79°

0%
9%
Yes 0¢No 100¢
100¢
N/A
$79,764
N/A
N/A
$47,730
Settled
No
kalshi

82° to 83°

0%
1%
Yes 0¢No 100¢
100¢
N/A
$78,648
N/A
N/A
$75,641
Settled
No
kalshi

84° or above

0%
1%
Yes 0¢No 100¢
100¢
N/A
$38,975
N/A
N/A
$38,125
Settled
No
Total markets: 6

Description

This event tracks the highest temperature reached in Los Angeles on a specific date in the future, providing a clear benchmark for weather conditions on that day. It uses a trusted weather data provider to ensure consistency and accuracy in determining the outcome.

Kalshi

The event resolves based on the maximum temperature recorded in Los Angeles (CLILAX) on September 1, 2026, as reported by The Weather Company. Six distinct temperature ranges are defined, each corresponding to a different market outcome. If the temperature falls within any of these ranges, the associated market resolves to Yes. The official temperature value comes exclusively from The Weather Company, and users should exercise caution with preliminary data due to potential rounding or conversion discrepancies. All markets share the same data source and methodology, ensuring uniformity in resolution.