Lowest temperature in Los Angeles on Jun 21, 2026?

Prediction market odds often diverge from traditional meteorologist forecasts because they incorporate real-time trader behavior, economic incentives, and crowdsourced conviction. While weather analysts rely on numerical models and historical data, this market aggregates the collective judgment of participants who have financial skin in the game. Comparing the implied probabilities here to published seasonal forecasts and long-range weather outlooks can reveal where the prediction community sees greater or lower confidence than official forecasters, potentially highlighting overlooked risks or consensus blind spots.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares corresponding to different temperature ranges. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects supply and demand; as more traders buy shares predicting a cooler low, that outcome's price rises, and vice versa. Settlement values are locked in once the event occurs and the actual temperature is verified, ensuring that market prices remain tethered to real-world conditions throughout the trading period.

This market resolves around Jun 22, 2026, once June 21, 2026 has passed and the lowest temperature recorded in Los Angeles that day is confirmed. The outcome is determined by verified meteorological data from credible public sources, ensuring an objective and transparent settlement. Traders holding shares in the correct temperature band receive their payout based on the final verified low, making accuracy the sole arbiter of profit and loss.

Major shifts in long-range weather forecasts, seasonal climate patterns, and atmospheric indices like El Niño or La Niña could significantly move prices. Updates to extended forecasts from the National Weather Service, changes in solar activity predictions, or emerging climate anomalies may prompt traders to reassess their positions. Additionally, as June 21 approaches, near-term weather models become more reliable, often triggering sharp repricing as uncertainty narrows and the market converges toward the actual meteorological outcome.