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%
$
The minimum temperature in Boston on May 31, 2026, will be recorded according to the National Weather Service's daily climatological data. This event covers the full range of possible temperature outcomes.
Prediction market odds on Kalshi reflect real-money trader expectations, which often differ from traditional meteorological forecasts. While weather analysts rely on climate models and historical data, prediction markets incorporate broader information including seasonal trends, climate patterns, and trader conviction. Comparing Kalshi odds to long-range forecasts from the National Weather Service or climate research institutions can reveal where markets are pricing in uncertainty or consensus. Markets tend to adjust more dynamically as new data emerges closer to the event date.
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 probability assessments. Prices move based on order flow and new information about seasonal weather patterns affecting Boston in late May. Traders buy contracts at lower prices if they expect warmer conditions or sell if they anticipate cooler temperatures. The market price directly converts to an implied probability, allowing you to see the collective forecast of active traders on Kalshi for this specific Boston weather event.
The market resolves on Jun 1, 2026. Resolution is determined by the official lowest temperature recorded in Boston on May 31, 2026. The outcome depends on which temperature bracket or range the actual low falls into, as defined by the contract specifications. Temperature data is typically sourced from official meteorological records to ensure objective settlement. Traders should review the exact outcome categories and data source before placing positions to understand how their prediction will be evaluated.
Several factors could shift market odds before resolution. Seasonal climate forecasts and long-range weather models released in the months leading up to May 2026 will influence trader positioning. El Niño or La Niña patterns, Atlantic hurricane activity, and broader Northern Hemisphere temperature anomalies can all affect late-spring Boston weather. As May approaches, medium-range forecasts become more reliable and will likely drive significant price movement. Unusual weather events or climate news in early 2026 could also reshape expectations for late-spring temperatures in Boston.