Lowest temperature in Minneapolis on Jun 20, 2026?

Prediction market odds reflect real-money trader conviction and aggregate dispersed information, often diverging from traditional meteorological forecasts. While weather analysts rely on physics-based models and historical data, this market incorporates trader beliefs about model uncertainty, climate variability, and long-range forecast reliability. Over time, markets can outperform static forecasts by continuously repricing as new information arrives. However, a single point forecast from a major weather service and market odds serve different purposes: one is a deterministic estimate, the other a probabilistic range reflecting genuine uncertainty about conditions six months ahead.

On Kalshi, this market is priced through an order-book mechanism where traders directly set bid and ask prices for outcome shares. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome (temperature range) has its own contract, and the current market price reflects the last executed trade or the tightest spread between buy and sell orders. As traders update their beliefs about June 20 conditions, they adjust orders, moving prices up or down. The implied probability of each outcome is derived from its contract price, allowing you to compare relative likelihoods across all temperature brackets.

This market resolves around Jun 21, 2026, after June 20, 2026 has passed and the lowest temperature for that day in Minneapolis is verifiable from credible public sources. The outcome is determined by comparing the recorded minimum temperature against the predefined outcome brackets offered in the market. Once the data is confirmed and the winning outcome is identified, traders holding shares in that outcome receive their payout, and all other positions expire worthless.

Major climate patterns, seasonal forecasts, and long-range weather models will drive price movement over the next months. El Niño or La Niña conditions, shifts in the jet stream, and updated climate outlooks from NOAA or other agencies can reshape trader expectations. As June 2026 approaches, near-term meteorological forecasts will become more reliable and volatile, likely triggering sharp repricing. Additionally, any unusual warming or cooling trends in preceding months, or revisions to historical temperature normals, may influence how traders assess the probability of extreme outcomes on that specific date.