Lowest temperature in Minneapolis on Jul 8, 2026?

Prediction market odds reflect real-money bets from traders who profit when their forecasts prove accurate, creating a financial incentive for precision. Traditional weather analysts and meteorologists rely on physics-based models and historical data but do not face direct financial consequences for misforecasts. This market aggregates dispersed information and trader expertise into a single price signal, often capturing nuances that individual forecasts miss. Over time, markets tend to outperform single-source predictions because they reward accuracy and penalize poor judgment through direct financial loss.

On Kalshi, this market is priced through a continuous order-book mechanism where buyers and sellers submit bids and offers for each temperature outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders can enter limit orders to bet on whether the low will exceed or fall below specific thresholds, and the market price reflects the equilibrium between supply and demand at any moment. As new weather forecasts or seasonal data arrive, traders adjust their positions, causing prices to shift. The tighter the bid-ask spread, the more confident the market consensus; wider spreads signal uncertainty among participants.

This market resolves around Jul 9, 2026, once July 8, 2026 has passed and the lowest temperature for that day is verifiable from credible public sources. The outcome is determined by comparing the actual recorded low against the temperature thresholds defined in the market's outcome categories. Traders who correctly predicted the range in which the low would fall receive their winnings, while incorrect positions expire worthless. Resolution is automatic once the temperature data is confirmed and published.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts from meteorological agencies can all shift trader expectations and move prices significantly. El Niño or La Niña conditions, changes in solar activity, or unusual jet-stream positioning may influence July temperatures months in advance. As the event date approaches, medium-range forecasts become more reliable and can trigger sharp repricing. Additionally, historical temperature records for Minneapolis in early July and any emerging climate trends could prompt traders to adjust their positions, causing volatility in this market's odds.