Which countries will Donald Trump visit in 2026?

According to the latest prediction market data for the query “Which countries will Donald Trump visit in 2026?”, traders have formed a strong consensus.

Currently, Turkey is dominating the market with an overwhelming 96.9% chance of winning. Ireland follows in second place at 69%, while United Kingdom sits in third with 63.5%. The betting volume for this specific market has already reached $528K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• Turkey (96.9%): Currently commanding the highest probability, Turkey is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 97¢, signaling a high degree of market conviction. This contract alone has generated $36.1K in volume.

🥈 Tier 2: The Primary Challengers

• Ireland (69%): Positioned as the most viable alternative, Ireland maintains a 69% chance of resolving true. Its “Buy Yes” shares currently trade at 69¢.
• United Kingdom (63.5%): Sitting in third place with a 63.5% probability, the market shows measured skepticism toward United Kingdom, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~0%)

Beyond the top three choices, a wide field of macro variables and long-shot outcomes are being tracked. While their individual probabilities hover low, they represent crucial hedges for speculative traders:

• Alternative Options: This includes Germany (47%), South Korea (37.5%), and Saudi Arabia (33%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like Italy are still attracting notable interest.

If U.S. President Donald Trump visits a listed country between January 1 and December 31, 2026 11:59 PM ET, the relevant market will resolve to "Yes". Otherwise, this market will resolve to "No".

For the purpose of this market, a "visit" is defined as Trump physically entering the terrestrial or maritime territory of the listed country. Whether or not Trump enters the country's airspace during the timeframe of this market will have no bearing on a positive resolution.

The primary resolution source for this information will be official information from government of the United States of America, official information from Trump or released by his verified social media accounts (e.g. https://twitter.com/POTUS), however, a consensus of credible reporting will also be used.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome Ireland currently trades at 69%, but our AI places its Fair Value at just 57.9%. This creates a large negative EV Gap of -11.1%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies Israel as the premium value opportunity on the board. While the market only assigns it a 17.5% trading probability, our AI’s Fair Value assessment sits at 37.2% — yielding an impressive +19.7% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include India (EV Gap: +15.4%) and Japan (EV Gap: +15.1%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.