TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 31, 1:00 AM EST
Kalshi
The maximum temperature recorded in Boston on May 30, 2026, will be measured according to the National Weather Service's official climatological report. This event tracks the actual high temperature observed that day regardless of the specific value.
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 30, 2026 is priced as a set of binary or range-based contracts, each representing a specific temperature threshold or band. Traders buy or sell shares at prices between 0 and 100 cents, where the price reflects the implied probability of that outcome occurring. As new information emerges—seasonal forecasts, climate patterns, or atmospheric data—traders adjust their positions, moving prices up or down. The most actively traded contracts typically cluster around historically typical May temperatures for Boston, with less liquid contracts at extreme highs or lows.
The market resolves on May 31, 2026, after May 30, 2026 has concluded and the actual highest temperature for that day is recorded. The outcome is determined by official temperature data, typically sourced from a recognized meteorological authority or weather station serving the Boston area. Once the final temperature is confirmed, the contract(s) corresponding to the correct outcome are paid out at full value, and all other contracts expire worthless. This ensures that traders' profits or losses are settled based on verifiable, objective weather data.
Several factors could shift odds on this market before resolution. Long-range seasonal forecasts and climate pattern updates from NOAA or the National Weather Service may signal warmer or cooler conditions for late May. Major atmospheric events—such as a developing heat dome, cold front, or tropical system—could dramatically alter trader expectations. Historical May temperature records and anomalies in spring warming trends also influence sentiment. As May 2026 approaches, medium-range forecasts become more precise, typically causing sharper price moves. Real-time weather data and model consensus in the final week will likely drive the most significant volatility.