TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 28, 4:00 AM EST
Kalshi
On May 27, 2026, the National Weather Service will record the overnight low temperature in Los Angeles, California. This event captures the full range of possible minimum temperatures that could occur that day.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, this temperature event is priced through binary or range-based contracts reflecting the lowest temperature outcome for Los Angeles on May 27, 2026. Traders buy and sell shares representing different temperature brackets or thresholds, with prices fluctuating based on supply and demand. The market structure incentivizes participants to assess seasonal weather patterns, climate anomalies, and historical May temperatures for the region, translating their forecasts into contract prices that settle based on the actual recorded low.
The market resolves on May 28, 2026, after the trading window closes and the lowest temperature for Los Angeles on May 27, 2026 is officially recorded. Resolution depends on verified temperature data from authoritative weather sources for that date. Once the actual low is confirmed, contracts settle according to the outcome specifications, determining which temperature range or threshold was correct and distributing payouts to winning traders accordingly.
Several factors could shift market prices for this Los Angeles temperature event. Seasonal climate forecasts, El Niño or La Niña patterns, and atmospheric pressure systems developing weeks before May 27 will influence trader expectations. Real-time weather model updates, historical temperature anomalies, and any unusual jet stream behavior could trigger repricing. Additionally, broader climate trends and late-spring weather systems moving into Southern California closer to the date will drive trading activity and adjust odds as new meteorological data emerges.