TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 4, 2:00 AM EST
Kalshi
The overnight low temperature in New Orleans on June 3, 2026, will be recorded by the National Weather Service.
Prediction market odds on Kalshi reflect real-money consensus from traders betting on the lowest temperature in New Orleans on June 3, 2026. Traditional weather forecasts from meteorological agencies and climate analysts typically rely on historical data and atmospheric modeling. Prediction markets incorporate those forecasts but also price in trader conviction and tail-risk expectations. Comparing Kalshi odds to published analyst temperature ranges can reveal whether the market is pricing in more or less uncertainty than official forecasts suggest, offering a complementary perspective on the likely outcome.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in New Orleans on June 3, 2026 is priced as a binary or range-based contract reflecting trader expectations about that day's minimum temperature. Prices move based on incoming weather models, seasonal patterns, and historical June temperatures for the region. Traders buy or sell shares corresponding to different temperature thresholds, with the market price indicating the collective probability assigned to each outcome. As the event date approaches, updated forecasts and atmospheric data typically drive price adjustments on the platform.
Several factors could shift odds for the lowest temperature in New Orleans on June 3, 2026. Major weather pattern changes—such as shifts in the jet stream, tropical systems, or high-pressure systems—will influence trader expectations. Updated seasonal forecasts and long-range models from meteorological agencies often trigger repricing. Historical temperature anomalies and climate trends for early June in New Orleans also inform market sentiment. As the date approaches, medium-range forecasts become more precise, typically narrowing the range of likely outcomes and concentrating trading activity around the most probable temperature bands.