TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 4, 4:00 AM EST
Kalshi
The overnight low temperature in Los Angeles on June 3, 2026, will be recorded by the National Weather Service.
On Kalshi, the lowest temperature in Los Angeles on June 3, 2026 is priced through binary or range-based outcome contracts. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares corresponding to specific temperature thresholds, with prices reflecting the probability of each outcome. The platform uses order-book mechanics, so prices adjust based on supply and demand. As new weather data emerges or the event date nears, prices shift to reflect updated expectations. Kalshi's transparent pricing allows you to see exactly what the market implies about the likelihood of different temperature ranges.
The market resolves on Jun 4, 2026, after the event date has passed and official temperature data is recorded. Resolution is determined by the lowest temperature reading in Los Angeles on June 3, 2026, as reported by authoritative weather sources. Once the data is finalized and verified, the market settles according to which outcome bracket or threshold the actual low temperature falls into. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless. The resolution process typically occurs within hours of the official data release.
Several factors could shift market odds for the lowest temperature in Los Angeles on June 3, 2026. Major weather pattern changes, such as shifts in high-pressure systems or unexpected cold fronts, would trigger significant price moves. Updated seasonal forecasts and long-range climate models released closer to June could alter expectations. Real-time atmospheric data, including jet stream positioning and ocean temperatures, influences trader sentiment. Additionally, historical temperature anomalies or unusual weather events in late May could signal changing conditions. As the event date approaches, daily weather updates and model consensus refinements will drive continuous price adjustments.