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 9, 2:00 AM EST
Kalshi
The daytime high temperature in New Orleans on June 8, 2026 will be recorded by the National Weather Service's daily climatological report. This event tracks the maximum temperature across various ranges.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the highest temperature in New Orleans on June 8 is priced as a binary or range-based contract reflecting trader consensus on likely outcomes. Prices move based on supply and demand for each temperature bracket, with higher prices indicating stronger market belief in that outcome. Traders buy and sell contracts reflecting their forecasts of June 8 conditions in New Orleans. The pricing mechanism incentivizes accurate predictions and allows participants to hedge or speculate on temperature ranges. Real-time price discovery on Kalshi reveals which temperature outcomes the market currently favors most.
The market resolves on Jun 9, 2026, after the highest temperature in New Orleans on June 8, 2026 is recorded and verified. Resolution depends on official temperature data from a designated weather source, typically the National Weather Service station serving the New Orleans area. Once the final high temperature for that day is confirmed, the contract settles to the outcome bracket or range it falls within. Traders holding positions aligned with the actual outcome receive payouts, while those on incorrect outcomes lose their stake.
Several factors could shift odds for the highest temperature in New Orleans on June 8. Updated seasonal forecasts, tropical weather systems, or atmospheric patterns affecting the Gulf Coast region may trigger significant price moves. Real-time weather model updates in the days leading up to June 8 will influence trader positioning. Historical temperature records for that date and time of year provide context. Urban heat effects, cloud cover predictions, and wind patterns also matter. As June approaches, traders will incorporate increasingly precise short-range forecasts, causing market prices to converge toward the most likely outcome.