Lowest temperature in Los Angeles on Jun 12, 2026?

Prediction market odds often diverge from traditional weather forecasts because they incorporate real-time trader positioning and uncertainty pricing. While meteorologists issue point estimates or ranges based on atmospheric models, this market reflects what participants are willing to stake on specific outcomes. Traders may price in tail risks or consensus shifts faster than official forecasts update, creating opportunities for those who believe analyst predictions underestimate or overestimate the likelihood of extreme lows. Comparing the two reveals how markets value information differently than institutional forecasters.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares tied to specific temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome contract reflects the collective willingness of buyers and sellers to transact at that level, with tighter spreads indicating higher confidence and liquidity. As new information emerges—updated weather models, seasonal patterns, or atmospheric anomalies—traders adjust their positions, moving prices to equilibrate supply and demand across all temperature ranges.

This market resolves around Jun 13, 2026, once June 12, 2026 has passed and the lowest temperature for Los Angeles that day is verified against credible public sources. The outcome is determined by the actual recorded low temperature from official meteorological data, which settles all open positions based on which temperature range or threshold the day's minimum falls into. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless.

Major weather pattern shifts, updated seasonal forecasts, and atmospheric anomalies—such as unusual high-pressure systems or marine layer changes—can significantly move this market. El Niño or La Niña developments, volcanic activity affecting stratospheric conditions, and historical temperature records for early June all serve as catalysts. Additionally, real-time model updates from the National Weather Service or European forecasting centers often trigger repricing as traders incorporate new data. Extreme heat events elsewhere in the region or unexpected cold fronts can also reshape expectations about Los Angeles's June 12 low.