Lowest temperature in Los Angeles on Jun 27, 2026?

Prediction market odds often diverge from traditional meteorologist forecasts because they incorporate real-time trader behavior, economic incentives, and collective information beyond standard weather models. While meteorologists rely on atmospheric physics and historical data, this market aggregates the views of many participants with financial skin in the game. Comparing the implied probabilities here to published forecasts from the National Weather Service or private weather firms can reveal where traders see value or risk that analysts may have underweighted, making it a useful cross-check for understanding temperature expectations.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares tied to specific temperature ranges or outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the ratio of buy to sell pressure, with higher prices indicating stronger trader conviction. As new information arrives—seasonal forecasts, climate patterns, or real-time weather updates—traders adjust their positions, moving prices up or down to reflect changing probability estimates for the lowest temperature on that date.

This market resolves around Jun 28, 2026, once June 27, 2026 has passed and the lowest temperature for that day in Los Angeles is confirmed. The outcome is determined by verified data from credible public weather sources, ensuring an objective and transparent settlement. Traders holding shares in the correct outcome receive their payout based on the final recorded low temperature, making accuracy and timeliness of data critical to fair resolution.

Several factors could shift odds in this market: seasonal climate patterns and long-range forecasts issued by meteorological agencies, El Niño or La Niña conditions affecting Pacific weather, historical temperature records for late June in Los Angeles, and real-time atmospheric pressure systems weeks before the event. Major heat waves or cold fronts affecting California could also influence trader positioning. As June 2026 approaches, daily and weekly forecasts will become increasingly precise, likely triggering sharp repricing as the market converges toward the actual outcome.