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2,388,728,490

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402,751

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30,217

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2,632

PLATFORM COVERAGE:

5

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Highest temperature in New Orleans on Jun 1, 2026?
kalshi

Highest temperature in New Orleans on Jun 1, 2026?

Volume:
$0

85° or below

 - Kalshi

85° or below - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 2, 2026

Will the maximum temperature be <86° on Jun 1, 2026?

Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 5¢ buys you 2,000 shares | Odds: 0% Total Payout: $2,000 | Net Profit: $1,900 Multiplier: 20.00x | ROI: 1,900% | APY: N/A
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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

85° or below

Trade
N/A
N/A
4¢
N/A
N/A
N/A
N/A
N/A
0d 0h 0m
active
kalshi

86° to 87°

N/A
N/A
43¢
N/A
N/A
N/A
N/A
N/A
0d 0h 0m
active
kalshi

88° to 89°

N/A
N/A
56¢
N/A
N/A
N/A
N/A
N/A
0d 0h 0m
active
kalshi

90° to 91°

N/A
N/A
35¢
N/A
N/A
N/A
N/A
N/A
0d 0h 0m
active
kalshi

92° to 93°

N/A
N/A
17¢
N/A
N/A
N/A
N/A
N/A
0d 0h 0m
active
kalshi

94° or above

N/A
N/A
58¢
N/A
N/A
N/A
N/A
N/A
0d 0h 0m
active
Total markets: 6

Description

The maximum daytime temperature in New Orleans on June 1, 2026, will be recorded by the National Weather Service.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and historical price data for the highest temperature recorded in New Orleans on June 1, 2026, on Kalshi. You can monitor the current implied probability of each temperature outcome, view 24-hour volume activity at $0, and observe how market sentiment shifts as the event date approaches. The dashboard displays the leading outcome and its associated odds, helping traders and weather enthusiasts understand where the market consensus stands on this specific climate event in New Orleans.

Prediction market odds on Kalshi reflect real-money traders' collective expectations for New Orleans' peak temperature on June 1, 2026, and often diverge from traditional meteorological forecasts. While weather analysts rely on atmospheric models and historical climate data, prediction markets incorporate broader information including long-range climate patterns, seasonal anomalies, and trader conviction. Comparing Kalshi odds to National Weather Service or Climate Prediction Center seasonal outlooks can reveal whether markets are pricing in warmer or cooler conditions than official forecasters expect for that date.

On Kalshi, the highest temperature in New Orleans on June 1, 2026, 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 or sell shares at prices between 0 and 100 cents, where the price reflects the market's implied probability of that outcome occurring. As new weather data, seasonal forecasts, and climate signals emerge, contract prices adjust dynamically to reflect updated trader expectations about whether New Orleans will experience above-normal, near-normal, or below-normal peak temperatures on that date.

The market resolves on Jun 2, 2026, after the highest temperature in New Orleans on June 1, 2026, has been recorded and verified. Resolution is determined by official temperature data from a designated weather station or meteorological authority serving the New Orleans area. Once the actual peak temperature is confirmed, the prediction market outcome is settled against that recorded value, and traders' positions are finalized based on whether their predicted temperature range or threshold matched the real-world result.

Several factors could shift odds for New Orleans' peak temperature on June 1, 2026. Long-range climate forecasts and seasonal outlooks from NOAA or other meteorological agencies may indicate warmer or cooler conditions ahead. Atlantic hurricane activity, sea surface temperature anomalies, and upper-atmosphere patterns in late May could influence early-June weather. Additionally, historical climate trends, La Niña or El Niño conditions, and any unusual atmospheric blocking patterns will be priced into the market as traders reassess the likelihood of extreme heat or cooler-than-average conditions for that specific date.