Lowest temperature in Minneapolis on Jun 22, 2026?

Prediction market odds often diverge from traditional weather forecasts because they incorporate real-time trader behavior, uncertainty premiums, and collective intelligence beyond a single meteorologist's model. While meteorologists issue point estimates or ranges based on atmospheric data, this market aggregates the beliefs of many participants with financial incentives to be accurate. Comparing the implied probability here to official National Weather Service or private weather service forecasts can reveal where the crowd sees risk differently—whether traders expect more extreme cold or milder conditions than conventional models suggest.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing different temperature outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome has a price between 0 and 100 cents, reflecting the probability that the lowest temperature will fall within that range. As new information emerges—updated seasonal forecasts, climate patterns, or historical June weather data for Minneapolis—traders adjust their bids and asks, moving the market price to reflect the latest consensus on the likelihood of each temperature band.

This market resolves around Jun 23, 2026, after June 22, 2026 has passed. The outcome is determined by the verified lowest temperature recorded in Minneapolis on that date, confirmed once the event is observable from credible public sources such as the National Weather Service or established meteorological databases. Once the actual minimum temperature is recorded and published, the market settles to the outcome bracket that contains that value, and traders' positions are finalized accordingly.

Several factors could shift odds significantly: updated seasonal climate forecasts, historical weather pattern anomalies, changes in Arctic or jet-stream behavior, and real-time meteorological model updates as June 2026 approaches. Major climate events—such as an unexpected cold front or heat dome—would trigger rapid repricing. Additionally, as the date draws closer, short-term weather models become more reliable, often causing sharp adjustments. Traders also respond to broader climate trends and any unusual atmospheric conditions reported in the weeks leading up to the event, making this market sensitive to both long-range and near-term weather intelligence.