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$134.2b

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$126,324,530

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2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

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2,689

PLATFORM COVERAGE:

5

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Highest temperature in New Orleans on Jun 5, 2026?
kalshi

Highest temperature in New Orleans on Jun 5, 2026?

Volume:
$21,974

87° to 88°

 - Kalshi

87° to 88° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 6, 2026

Closed: Jun 6, 2:00 AM EST

kalshi

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

87° to 88°

View
100%
Yes 100¢No 0¢
100¢
N/A
$6,407
N/A
N/A
$4,094
Settled
Yes
kalshi

85° to 86°

0%
Yes 0¢No 100¢
100¢
N/A
$5,690
N/A
N/A
$2,629
Settled
No
kalshi

89° or above

0%
Yes 0¢No 100¢
100¢
N/A
$3,791
N/A
N/A
$2,259
Settled
No
kalshi

83° to 84°

0%
Yes 0¢No 100¢
100¢
N/A
$2,411
N/A
N/A
$1,629
Settled
No
kalshi

81° to 82°

0%
Yes 0¢No 100¢
100¢
N/A
$2,231
N/A
N/A
$2,108
Settled
No
kalshi

80° or below

0%
Yes 0¢No 100¢
100¢
N/A
$1,444
N/A
N/A
$1,422
Settled
No
Total markets: 6

Description

The maximum temperature in New Orleans on June 5, 2026, will be recorded according to the National Weather Service's daily climatological report.

Frequently asked questions

The Odds & Prediction Markets dashboard on Kalshi tracks real-time odds and historical price movements for the highest temperature recorded in New Orleans on June 5, 2026. The dashboard displays current implied probability of each temperature outcome, 24-hour trading volume of $17,745, and cumulative group volume of $21,974. You can monitor how market participants are pricing this weather event as the date approaches, view price history to identify trends, and compare current odds against historical levels to spot shifts in market sentiment.

Prediction market odds on Kalshi reflect aggregated trader beliefs about the highest temperature in New Orleans on June 5, 2026, and often diverge from traditional meteorological forecasts. While weather analysts rely on atmospheric models and historical climate data, prediction markets incorporate real-time information, trader expertise, and financial incentives. Comparing Kalshi odds to National Weather Service forecasts or climate models released closer to the event date can reveal whether markets are pricing in more optimistic or pessimistic temperature scenarios than official predictions.

On Kalshi, the highest temperature in New Orleans on June 5 is priced as a set of binary or range-based contracts, each representing a specific temperature threshold or band. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares reflecting their belief in whether the actual high will fall within or exceed defined ranges. The price of each contract reflects the implied probability of that outcome occurring. As new weather data emerges and the event date draws closer, contract prices adjust to reflect changing market expectations about temperature conditions in New Orleans.

The market resolves on Jun 6, 2026. Resolution is determined by the highest temperature officially recorded in New Orleans on June 5, 2026. The specific measurement source and methodology used to determine the winning outcome are defined in the market's resolution criteria. Once the event date passes and the official high temperature is confirmed, the market settles and traders receive payouts based on which contracts matched the actual result.

Several factors could shift odds for the highest temperature in New Orleans on June 5, 2026. Updated seasonal forecasts, long-range weather models, and atmospheric patterns indicating heat waves or cooler systems will influence trader positioning. Major climate events, ocean temperature anomalies, or shifts in jet stream behavior months ahead could alter expectations. As June approaches, short-range forecasts become more reliable and typically drive sharper price movements. Real-time weather developments in the days immediately before June 5 will likely produce the most dramatic odds adjustments as traders react to confirmed conditions.