Lowest temperature in Dallas on Jun 13, 2026?

Prediction market odds often diverge from traditional weather forecasts because they incorporate real-time trader positioning and incentives for accuracy. While meteorologists rely on atmospheric models and historical data, market participants weigh those same inputs alongside broader uncertainty and risk appetite. This market's odds can serve as a complementary signal to analyst predictions, sometimes leading or lagging depending on new model runs or consensus shifts. Comparing the two reveals where traders see value relative to official forecasts.

On Kalshi, this market is priced through continuous order-book trading, where buyers and sellers set the odds by placing limit and market orders on outcome shares. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome band has its own price, reflecting the collective probability traders assign to that temperature range. As new information arrives—updated weather models, seasonal patterns, or climate data—traders adjust their positions, moving prices in real time. The spread between bid and ask prices reflects liquidity and disagreement among participants.

This market resolves around Jun 14, 2026, after the lowest temperature for June 13, 2026 in Dallas is recorded and verified. The outcome is confirmed once the event is verifiable from credible public reporting, typically from official weather stations or recognized meteorological sources. Your position settles based on which outcome band the actual low temperature falls into. All open positions close and payouts are distributed according to the final verified result.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts can significantly move this market. El Niño or La Niña developments, jet stream positioning, and historical temperature records for early June in Dallas all influence trader expectations. As June 2026 approaches, medium-range forecasts become more reliable, typically triggering sharp repricing. Additionally, any unusual climate events or data releases about regional warming trends may prompt traders to adjust their positions ahead of the settlement date.