Lowest temperature in Minneapolis on May 31, 2026?

Prediction market odds on Kalshi reflect real-money trader expectations and often incorporate meteorological forecasts, historical climate data, and seasonal patterns for Minneapolis in late May. Unlike traditional weather analyst forecasts, which rely on deterministic models, prediction markets aggregate distributed knowledge from many participants. Comparing Kalshi odds to National Weather Service seasonal outlooks or climatological averages can reveal whether traders are pricing in above or below-normal temperatures for that date. Markets typically converge toward consensus as the event date approaches.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature outcome for Minneapolis on May 31, 2026, is priced as a binary or range-based contract reflecting trader conviction about whether the low will fall within specified temperature bands. Participants buy and sell shares at prices between 0 and 100 cents, with the price directly representing the implied probability of that outcome occurring. As new weather data, seasonal forecasts, or climate signals emerge, traders adjust their positions, moving the contract price up or down to reflect updated expectations about Minneapolis's May 31 low temperature.

The market resolves on Jun 1, 2026, after the May 31, 2026, observation period closes. Resolution is determined by the official recorded lowest temperature in Minneapolis on that date, sourced from a designated weather authority or data provider. Once the actual low temperature is confirmed and published, the contract settles to reflect which outcome bracket or range the real-world measurement fell into. Traders holding positions aligned with the final temperature reading receive their payout, while opposing positions expire worthless.

Major signals include updated seasonal climate forecasts, El Niño or La Niña patterns, Arctic air mass movements, and long-range weather models issued by NOAA or international meteorological centers. Unusual spring weather patterns, late-season cold snaps, or heat waves in the weeks leading up to May 31 could shift trader expectations. Historical May temperature records for Minneapolis and real-time atmospheric data closer to the event date will increasingly influence market pricing. Traders monitor broader North American weather trends and any anomalies that might suppress or elevate temperatures on that specific day.