TOTAL VOLUME:
$134.2b
24H VOL:
$126,590,312
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,439,516,703
404,175
Markets across
30,277
events
MATCHED EVENTS:
2,685
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 8, 4:00 AM EST
Kalshi
The minimum temperature in Las Vegas on June 7, 2026, will be recorded by the National Weather Service and categorized within a specified range.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature outcome for Las Vegas on June 7, 2026 is priced as binary or range-based contracts reflecting trader demand for specific temperature bands. Each contract's price represents the implied probability that the actual low will fall within that range. Prices fluctuate based on order flow, new information, and changing expectations about weather patterns leading into early June. Traders can buy or sell shares at the current market price, with the final payout determined by the official recorded low temperature on that date.
The market resolves on Jun 8, 2026, after the lowest temperature for Las Vegas on June 7, 2026 has been officially recorded. The outcome is determined by the actual minimum temperature observed that day, typically sourced from official weather station data or meteorological authorities. Once the data is confirmed and published, the winning outcome is settled and traders receive payouts based on their positions. The resolution process is automatic and final once the official low temperature is locked in.
Several factors could shift market odds before resolution. Major weather pattern changes—such as shifts in high-pressure systems, monsoon activity, or upper-level troughs—can alter temperature expectations for early June in Las Vegas. Long-range climate forecasts, El Niño or La Niña conditions, and seasonal anomalies may influence trader positioning. As June 7, 2026 approaches, medium-range weather models (10–14 days out) will become more reliable, potentially triggering significant repricing. News of unusual atmospheric conditions or historical temperature records could also prompt traders to adjust their probability estimates.