Lowest temperature in Oklahoma City on Jun 30, 2026?

Prediction market odds reflect real-money trader conviction and often incorporate the same data that meteorologists and climate analysts use—historical temperature records, seasonal trends, and atmospheric models. However, markets aggregate dispersed knowledge across many participants, sometimes revealing signals that individual forecasters miss. Comparing this market's odds to published forecasts from the National Weather Service or other meteorological agencies can highlight where traders are more or less bullish on extreme lows. Markets tend to update faster than traditional forecasts as new data arrives, making them a useful cross-check for consensus views on temperature outcomes.

On Kalshi, this market is priced through a continuous order book where traders buy and sell shares corresponding to different temperature ranges or outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Prices move in real time as new orders flow in, reflecting the aggregate belief about where the low will fall. Each outcome has its own price, typically ranging from near zero to near 100 cents, and traders profit by correctly predicting which temperature band will verify. The platform's matching engine ensures transparent price discovery, so you can see exactly what other participants are willing to pay or accept for each possible outcome.

This market resolves around Jul 1, 2026, once June 30, 2026 has passed and the actual low temperature for Oklahoma City is verifiable from credible public sources. The outcome is determined by the recorded minimum temperature on that date, typically confirmed through official weather station data or recognized meteorological databases. Traders holding shares in the outcome that matches the verified low temperature will receive their payout. Resolution is automatic once the data is published and the platform confirms the result.

Major climate patterns and seasonal forecasts are the primary drivers of this market's price. A shift toward La Niña or El Niño conditions, changes in the jet stream, or updated long-range weather models could significantly alter odds. Historical anomalies—such as unusual cold snaps or heat waves in late June—may prompt traders to reassess their positions. As June 2026 approaches, short-range forecasts become more reliable and can trigger sharp repricing. Additionally, any significant atmospheric events or revised seasonal outlooks from NOAA or international meteorological agencies will likely influence trader behavior and market movement.