TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 1, 9:24 AM EST
Kalshi
This event tracks the number of times a public figure travels to a specific private residence during a defined month. It focuses on counting each round-trip journey, regardless of duration, to determine the outcome.
The event resolves based on the exact number of trips made by the subject to the specified location during the stated month. A trip is defined as a journey that begins when the individual arrives at the location and concludes when they depart. Importantly, any visit that is ongoing at the month's end or that begins before the month starts still counts toward the total. The outcome is determined solely by whether the actual number of such trips matches exactly one of the predefined numerical options.
This market resolves around Sep 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The settlement will depend on official records or widely reported news confirming exactly how many times Trump visits Mar-a-Lago during that period. As long as the information is publicly documented and unambiguous, the market will close and pay out accordingly. Timing is crucial — any visits occurring before or after August 2026 would not affect this market, only those within the specified month.
Several political and logistical signals could shift this market before it settles. Official announcements of Trump’s travel schedule, especially any Mar-a-Lago visits planned for August 2026, would be a major catalyst. Media reports speculating about his plans, security considerations, or health-related constraints might also influence trader sentiment. Additionally, broader political developments — such as election dynamics, cabinet changes, or public events drawing Trump to other locations — could affect expectations. Any surprise visits or cancellations would cause rapid price adjustments as traders reassess the likelihood of different outcomes.