TOTAL VOLUME:
$134.2b
24H VOL:
$143,246,370
24H TRANSACTIONS:
2,403,290,006
OPEN INTEREST:
$1,452,035,386
405,032
Markets across
30,543
events
MATCHED EVENTS:
2,690
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 4, 11:59 PM EST
Kalshi
This event group asks whether it will rain on July 4, 2026, across major U.S. cities. Kalshi covers 20 cities with a simple precipitation threshold (>0 inches), while Polymarket offers granular markets for 5 specific cities (Dallas, Atlanta, NYC, San Francisco, Boston, Washington D.C., Denver) with explicit trace rain exclusions and NOAA data finalization deadlines.
This market will resolve to “Yes” if any precipitation is recorded at the specified weather station on the specified date. Otherwise, this market will resolve to “No”. This market will resolve according to the total precipitation in inches in the specified weather station on June 10, 2026 according to the National Oceanic and Atmospheric Administration (NOAA). The resolution source for this market will be NOAA, specifically the figure for the specified date when the “Daily data for a month” for “specified station” is selected with the variable set to “Precipitation” at the https://www.weather.gov/wrh/climate link once that figure is finalized for the specified date. Trace rain, specified by a “T” in the named column, will not qualify toward a “Yes” resolution. The resolution source for this market measures precipitation to 2 decimal places (e.g., 1.54), thus, this is the level of precision that will be used when resolving this market. Any revisions to precipitation recorded after data is finalized for this market’s timeframe will not be considered for this market’s resolution. If the relevant data is not made available by July 12, 2026, 11:59PM ET, this market will resolve to "No".
Resolution is determined by total precipitation recorded on July 4, 2026 at each specified city location, as reported in the National Weather Service's Climatological Report (Daily). Each city has its own independent outcome that resolves to Yes if total precipitation is strictly greater than 0 inches. Trace amounts (T) and missing daily precipitation values are treated as 0 inches and do not trigger a Yes resolution. Official data must be sourced from the NWS Climatological Report (Daily) accessed through the respective regional Weather Forecast Office pages, with each location having a designated reporting station (Central Park NY, Chicago-Midway IL, Austin Bergstrom, Miami FL, Denver CO, Philadelphia PA, Los Angeles Airport, Las Vegas NV, New Orleans LA, San Francisco Airport, Washington-National, Seattle-Tacoma WA, Boston Logan Airport, Phoenix AZ, Atlanta GA, Minneapolis/St Paul MN, Dallas/Fort Worth TX, San Antonio, Houston-Hobby TX, and Oklahoma City Will Rogers Airport). Traders should note that preliminary NWS data may be subject to rounding and conversion nuances, and the final official values from the Climatological Report (Daily) take precedence over other weather sources.
Prediction market odds reflect real-money trader sentiment and aggregate dispersed information, often diverging from traditional meteorologist forecasts. While weather analysts rely on physics-based models and historical data, market participants incorporate those forecasts plus their own expectations, creating a dynamic price discovery mechanism. This market's odds can move faster than official updates when new weather data emerges or when traders reassess probabilities. Comparing the two reveals whether the crowd is more or less confident than experts, and which signals—satellite imagery, pressure systems, or seasonal patterns—are driving trader behavior at any given moment.
Updated weather models, satellite imagery, and atmospheric pressure systems are the primary catalysts for price swings in this market. Major weather pattern shifts—such as a jet stream change or tropical system development—can rapidly reprrice rainfall odds. Real-time meteorologist statements and National Weather Service advisories often trigger trader repositioning. Seasonal climate data, ocean temperatures, and historical July 4th precipitation patterns also influence longer-term positioning. As the event date approaches, intraday weather updates and radar confirmations typically drive final price discovery and volatility spikes.