Lowest temperature in Los Angeles on Jun 16, 2026?

Prediction market odds often diverge from traditional meteorologist forecasts because they incorporate real-money incentives and crowd wisdom. While weather analysts rely on numerical models and historical data, traders in this market synthesize that same information plus market sentiment and long-term climate patterns. Comparing the implied probability from this market to published forecasts from the National Weather Service or other agencies can reveal where traders see upside or downside risk. Markets tend to update faster than official forecasts when new data emerges, making them a complementary signal for temperature expectations.

On Kalshi, this market is priced through a continuous order book 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 collective willingness of buyers and sellers to transact at that level, with tighter spreads indicating higher confidence and liquidity. As new information arrives—updated weather models, seasonal shifts, or real-time conditions—traders adjust their positions, moving prices in real time. The platform's matching engine ensures transparent price discovery and fair execution for all participants.

This market resolves around Jun 17, 2026, once the lowest temperature recorded in Los Angeles on June 16, 2026 is verified and finalized. The outcome is confirmed against credible public sources, ensuring an objective and auditable settlement. Traders holding shares in the correct outcome receive their payout based on the final verified temperature reading. Until that date, positions remain open and prices continue to fluctuate as new forecasts and real-time weather data emerge.

Several factors could shift prices in this market: updated seasonal forecasts, changes in atmospheric patterns, El Niño or La Niña developments, and real-time weather model runs as June 2026 approaches. Major climate events or anomalies in the months leading up to mid-June could alter long-term temperature expectations. Additionally, any significant shifts in historical temperature records or new climate data releases may prompt traders to reassess their positions. As the event date draws closer, short-term weather forecasts will carry increasing weight, potentially triggering sharp price movements in the final weeks.