TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 3, 7:59 PM EST
Kalshi
This event tracks the volume of passengers screened at airports on a specific date in early June 2026, measuring air travel activity across the country.
Prediction market odds on Kalshi reflect real-money consensus from active traders and often diverge from traditional analyst forecasts. While economists and aviation analysts may publish point estimates or ranges based on historical data and seasonal models, prediction markets incorporate forward-looking sentiment and breaking news in real time. Comparing Kalshi odds to published analyst reports can reveal where the market is pricing in different assumptions about travel demand, economic conditions, or airline capacity on June 3, 2026. Traders often use this gap to identify potential mispricings.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the Airport passengers on Jun 3, 2026 market is priced through continuous order-matching, where buyers and sellers set bids and asks for each outcome. The current market price reflects the marginal trade and the depth of liquidity at each price level. Kalshi's binary or multi-outcome structure allows traders to express precise views on passenger volume thresholds. Prices update in real time as new orders flow in, and the spread between bid and ask reflects market uncertainty and trading activity around this specific date.
The Airport passengers on Jun 3, 2026 market resolves on Jun 11, 2026. Resolution is determined by the actual passenger count or traffic metric recorded on June 3, 2026, verified against official airport or aviation authority data. The specific threshold or outcome categories are defined in the market's terms at the time of listing. Once the reference data is published and confirmed, the market settles automatically and payouts are distributed to holders of the winning outcome.
Several factors could shift odds for this event. Macroeconomic data—inflation, employment, consumer confidence—affects travel demand. Airline announcements about capacity, route changes, or pricing could influence bookings. Fuel prices and geopolitical events impact ticket costs and willingness to fly. Weather forecasts closer to June 3 may deter or encourage travel. Industry strikes, airport disruptions, or regulatory changes could reduce passenger volume. Holiday or seasonal patterns around early June also matter. Real-time booking data and load factors reported by airlines in the weeks leading up to June 3, 2026 will likely move the market as traders refine their forecasts.