TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 31, 2:00 AM EST
Kalshi
This event tracks the maximum temperature recorded in New Orleans on May 30, 2026, according to the National Weather Service's official daily climatological report. The event covers the full range of possible temperature outcomes across multiple temperature bands.
Prediction market odds on Kalshi represent real-money consensus from traders and differ from traditional weather analyst forecasts. While meteorologists issue deterministic point estimates or ranges based on climate models, prediction markets aggregate dispersed information through price discovery. Traders betting on this May 30 temperature event incorporate latest seasonal patterns, climate data, and historical New Orleans weather. Market-implied probabilities often diverge from single-model forecasts because they reflect uncertainty and competing views. Comparing the two approaches reveals whether markets price in tail risks or consensus differently than institutional forecasters.
The market resolves on May 31, 2026, after the trading window closes and official temperature data becomes available. Resolution is determined by the highest temperature recorded in New Orleans on May 30, 2026, according to the designated reference source. Once the actual peak temperature is confirmed, contracts settle based on whether outcomes matched the recorded value. Traders holding winning shares receive payouts proportional to their position size, while losing positions expire worthless. The precise timing ensures all relevant data is finalized before settlement occurs.
Several factors could shift market odds for New Orleans' May 30 high temperature. Seasonal climate forecasts and updated long-range weather models will influence trader expectations as the date approaches. Major weather patterns, such as the development of tropical systems or heat domes affecting the Gulf Coast, could trigger sharp repricing. Historical temperature anomalies and El Niño or La Niña conditions may also move the needle. As May approaches, weekly and daily forecasts become more precise, typically narrowing the range and concentrating probability around the meteorologist consensus. Real-time atmospheric data releases and any unusual climate events will drive continuous market adjustment.