TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 4, 1:00 AM EST
Kalshi
The overnight low temperature in New York City on June 3, 2026, will be recorded by the National Weather Service.
Prediction market odds on Kalshi reflect real-time trader consensus on the lowest temperature in New York City on June 3, 2026. Unlike traditional weather analyst forecasts, which rely on deterministic models and historical data, prediction markets incorporate diverse trader expectations and incentivize accuracy through financial stakes. Analyst forecasts typically provide point estimates or ranges based on seasonal patterns and atmospheric modeling, while markets express uncertainty as probability distributions across multiple temperature bands. Comparing the two reveals whether traders are pricing in more extreme outcomes than meteorologists predict or vice versa.
The Lowest temperature in New York City on Jun 3 market resolves on Jun 4, 2026. Resolution is determined by the actual minimum temperature recorded in New York City on June 3, 2026. The outcome is established using official weather data sources, which measure the lowest point reached during the calendar day. Once the temperature is confirmed, the market settles automatically, and traders holding contracts in the correct temperature band receive their payouts. This objective, verifiable data source ensures fair and transparent resolution for all participants.
Several factors could shift market odds for the lowest temperature in New York City on June 3, 2026. Major weather pattern changes, such as the development of high or low-pressure systems, tropical activity, or jet stream positioning, would influence trader expectations. Updated seasonal forecasts from meteorological agencies could trigger repricing if they suggest cooler or warmer conditions. As June 3 approaches, short-range weather models become more reliable, typically causing sharper price movements. Historical climate data for early June in New York and any anomalous atmospheric conditions in the weeks prior could also prompt traders to adjust their positions.