TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 9, 12:59 AM EST
Kalshi
The daytime high temperature at Miami International Airport on June 8, 2026 will be recorded by the National Weather Service's daily climatological report. This event tracks the maximum temperature across various ranges.
Prediction market odds on Kalshi reflect real-money consensus from traders pricing in meteorological data, seasonal patterns, and climate models. Analyst forecasts from the National Weather Service and private weather services typically focus on point estimates or narrow ranges. Market odds often diverge from single-point forecasts because traders incorporate tail risks, uncertainty bands, and historical volatility. Comparing Kalshi implied probabilities to official weather outlooks can reveal whether the market is pricing in more or less extreme outcomes than professional meteorologists expect for Miami on June 8, 2026.
The market resolves on Jun 9, 2026. Resolution is determined by the official highest temperature recorded in Miami on June 8, 2026, typically sourced from the National Weather Service or a designated meteorological authority. The outcome is objective and verifiable, eliminating ambiguity about which temperature bracket or threshold was actually reached. Once the official reading is confirmed, the corresponding outcome contract settles at full value and all other outcomes expire worthless.
Key drivers include updated seasonal forecasts, El Niño or La Niña patterns, Atlantic hurricane activity, and real-time weather model runs as June 2026 approaches. Anomalous heat waves or cold fronts affecting the southeastern United States could shift expectations. Long-range climate indices and historical analogs for early June in Miami will influence trader positioning. As the event date nears, short-range forecasts become more precise, typically narrowing the range of plausible outcomes and concentrating trading volume around the most likely temperature band.