Highest temperature in Boston on May 31, 2026?

Prediction market odds on Kalshi reflect aggregated trader expectations and often incorporate meteorological forecasts, climate models, and historical May temperature data for Boston. Analyst forecasts from the National Weather Service and seasonal climate outlooks typically focus on probability ranges and average conditions, while prediction markets price in tail risks and trader conviction. Markets may diverge from traditional forecasts when traders anticipate unusual weather patterns, climate anomalies, or shifts in atmospheric conditions. Comparing Kalshi odds to published seasonal outlooks and expert predictions helps identify whether the market is pricing in consensus expectations or pricing in alternative scenarios.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the highest temperature in Boston on May 31, 2026 is priced through outcome-specific contracts, typically divided into temperature ranges or discrete thresholds. Each outcome contract trades independently, with prices reflecting the probability traders assign to that temperature band occurring. Kalshi's binary and range-based contract structure allows traders to take directional positions on whether Boston will be warmer or cooler than specific benchmarks. Prices update continuously as new information arrives, and traders can enter or exit positions throughout the market's lifetime, with final settlement determined by the actual recorded high temperature on that date.

The market resolves on Jun 1, 2026, after the highest temperature in Boston on May 31, 2026 has been recorded and verified. Resolution is determined by the official daily high temperature reported for Boston on that specific date. The outcome is objective and based on meteorological data from established weather monitoring stations serving the Boston area. Once the temperature is confirmed, the market settles and traders' positions are finalized according to which outcome bracket or threshold the actual high temperature falls into. No further trading occurs after resolution.

Several factors could shift market odds for Boston's May 31, 2026 high temperature. Long-range weather models and seasonal climate forecasts updated closer to the date will influence trader expectations. Unusual atmospheric patterns, such as early heat waves, cold snaps, or shifts in jet stream positioning, may alter probabilities. Historical climate data and emerging climate trends could prompt traders to adjust for warmer or cooler outcomes. Real-time weather developments in late May, including high-pressure systems or frontal passages, will drive final price movements. Additionally, any significant climate or weather events in the weeks leading up to May 31 may cause traders to reassess their positions based on evolving meteorological conditions.