Lowest temperature in Washington DC on May 31, 2026?

Prediction market odds on Kalshi reflect real-money trader expectations and often diverge from traditional meteorological forecasts. While weather analysts rely on climate models and seasonal patterns, prediction markets incorporate trader beliefs about actual outcomes. Comparing the two reveals whether markets are pricing in more optimistic or pessimistic temperature scenarios than official forecasts suggest. This gap can highlight uncertainty or consensus breakdowns. Tracking both sources helps identify when market sentiment significantly deviates from expert consensus, potentially signaling overlooked information or speculative positioning.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature outcome is priced as a binary or range-based contract reflecting trader conviction about specific temperature thresholds. Each contract trades at a price between 0 and 100 cents, where the price directly represents the implied probability of that outcome occurring. As traders buy or sell contracts, prices adjust in real time. Higher prices indicate stronger market belief that a particular temperature range will be the lowest recorded on May 31. Volume and bid-ask spreads reveal liquidity and confidence around each temperature outcome.

The market resolves on Jun 1, 2026, after May 31, 2026 concludes. Resolution is determined by the actual lowest temperature recorded in Washington DC on that date. Official meteorological data sources are used to establish the final outcome. Traders holding contracts on the correct temperature range or threshold receive their payout, while incorrect positions expire worthless. The resolution process is automated once the official temperature data is confirmed, ensuring all positions settle fairly and transparently based on real-world weather observations.

Major weather pattern shifts, seasonal climate anomalies, and updated meteorological forecasts can significantly move odds. Long-range weather models released closer to May 31 will influence trader positioning as confidence in specific temperature outcomes increases. Unusual atmospheric conditions, jet stream patterns, or tropical systems affecting the East Coast could trigger repricing. Historical temperature records and May climate trends may also drive trading activity. As the date approaches, real-time weather updates and short-term forecasts will become primary drivers of market movement, with traders adjusting positions based on the latest meteorological intelligence.