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 4, 11:59 PM EST
Kalshi
Precipitation will be measured at Central Park in New York on June 4, 2026, with any measurable rainfall recorded by the National Weather Service.
Prediction market odds on Kalshi reflect aggregated trader beliefs about June 4 rainfall in NYC, often incorporating meteorological forecasts, historical weather patterns, and seasonal trends. Analyst forecasts from the National Weather Service and other meteorological institutions typically become more precise as the event date approaches. Comparing market odds to official forecasts can reveal whether traders are pricing in higher or lower rain probability than professional meteorologists, offering insight into market confidence relative to expert guidance.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, this event is priced as a binary contract reflecting the probability of measurable precipitation in NYC on June 4, 2026. Traders buy and sell shares corresponding to yes or no outcomes, with the contract price directly representing the market's implied probability. As weather forecasts update and traders adjust positions, the price fluctuates to reflect changing expectations about rainfall likelihood on that specific date.
The market resolves on Jun 5, 2026, after June 4, 2026 has concluded. Resolution is determined by whether measurable precipitation falls in New York City on that date. Official weather data sources, typically the National Weather Service or similar meteorological authorities, provide the factual basis for determining whether the rainfall threshold is met, settling the contract to either yes or no.
Key signals include updated weather forecasts from the National Weather Service, seasonal climate patterns, atmospheric pressure systems, and jet stream positioning in early June. Major weather events or anomalies in the weeks before June 4 could shift long-range forecasts. Real-time radar and satellite data closer to the event date will sharpen probability estimates. Traders respond to these signals by adjusting positions, causing market odds to shift as new meteorological information becomes available.