Lowest temperature in Los Angeles on Jun 28, 2026?

Prediction market odds often diverge from traditional weather analyst forecasts because they incorporate real-time trader behavior, risk appetite, and information flow that may not align with meteorological models alone. While professional forecasters rely on physics-based atmospheric data and historical patterns, this market aggregates the collective judgment of participants who have financial incentive to predict accurately. Comparing the implied probabilities here to published forecasts from the National Weather Service or other meteorological agencies can reveal where market participants see different risk or opportunity. Such divergences sometimes signal emerging consensus about weather patterns that haven't yet been fully reflected in official forecasts.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts tied to specific temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each contract represents a bet on whether the low will fall within a defined range, and the price of each contract reflects the probability traders assign to that outcome. As new information arrives—updated weather models, seasonal shifts, or real-time conditions—traders adjust their bids and offers, moving prices up or down. The spread between buy and sell prices tightens or widens based on trading activity and conviction, giving participants continuous price discovery throughout the market's life.

This market resolves around Jun 29, 2026, once the lowest temperature recorded in Los Angeles on June 28, 2026 is verified and confirmed. The outcome is determined by comparing the actual low temperature on that date against the predefined outcome brackets offered in the market. Resolution relies on credible public reporting of weather data to finalize which temperature band occurred. Traders' positions settle based on whether their chosen outcome matches the verified result, with payouts distributed accordingly to winners.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts from meteorological agencies can significantly move prices in this market. El Niño or La Niña conditions, unusual jet stream positioning, or heat waves affecting Southern California will influence trader expectations about June temperatures. Real-time atmospheric data releases, changes in solar activity forecasts, and historical temperature comparisons to prior years all serve as information signals. As June 2026 approaches, daily weather updates and short-range forecasts will increasingly dominate trading, with final price movements reflecting the most current meteorological consensus on that specific date.