TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 28, 3:00 AM EST
Kalshi
On May 27, 2026, the National Weather Service will record the overnight low temperature in Denver, Colorado. This event captures the full range of possible minimum temperatures that could occur that day.
Prediction market odds reflect real-money consensus from active traders and differ from traditional meteorological forecasts issued by the National Weather Service or private weather services. While meteorologists rely on physics-based models and historical climate data, prediction markets incorporate trader expectations, recent weather patterns, and seasonal trends. Comparing Kalshi odds to official forecasts can reveal whether markets are pricing in more optimistic or pessimistic temperature scenarios than expert models suggest. This divergence often highlights uncertainty or emerging weather signals not yet fully reflected in traditional forecasts.
The market resolves on May 28, 2026. Resolution is determined by the official lowest temperature recorded in Denver on May 27, 2026. The outcome depends on which temperature threshold or range the actual minimum falls into, as defined by the specific contract terms. Official weather station data from the National Weather Service or equivalent authoritative source is used to settle all positions. Traders should review the exact resolution criteria and data source specifications on Kalshi before placing trades to ensure clarity on how their positions will be adjudicated.
Several factors could shift market odds for Denver's May 27 low temperature. Major weather pattern changes, such as the arrival of cold fronts or high-pressure systems, typically trigger significant price moves. Updated seasonal forecasts from meteorological agencies and real-time atmospheric data releases can alter trader expectations. Late-May Denver weather is influenced by spring storm systems and elevation effects, so any shift in jet stream positioning or moisture availability will be reflected in market prices. As the event date approaches, short-range forecasts become more reliable, often causing sharper repricing as uncertainty narrows and consensus solidifies around a likely temperature range.