Who will Trump publicly insult by June 30?

Platform comparison

Active sub-markets

Market context

The question hinges on whether Donald Trump will publicly insult a specific individual between now and 30 June 2026. The 7% implied probability reflects a relatively low expectation, though the definition encompasses a broad range of negative statements—from derogatory nicknames to characterisations of weakness or disloyalty—across any public platform including social media, rallies, interviews, and press statements.

Historical precedent suggests caution in underestimating Trump's propensity for personal attacks. During his 2016 campaign and presidency, Trump regularly issued public insults targeting political opponents, media figures, and former associates, often via Twitter and at campaign events. The pattern intensified during his second campaign and post-presidency period, with documented instances of attacks on figures including Ron DeSantis, Nikki Haley, and various media personalities. Given this track record and the 18-month settlement window, the 7% probability appears notably compressed compared to comparable prediction markets on similar behavioural outcomes, where historical frequency typically commands higher odds.

Traders should monitor Trump's public schedule closely, particularly campaign announcements, rally dates, and media appearances, as these occasions have historically generated the highest volume of personal attacks. Recent reporting from Reuters and Associated Press has documented his continued engagement in public criticism of political rivals and media figures throughout 2024 and early 2025. Any significant political developments—primary contests, legislative disputes, or media controversies—could substantially alter the likelihood of public insults. The breadth of the definition and the extended timeframe suggest the current probability may underweight historical behavioural patterns.

Methodology

We track Who will Trump publicly insult by June 30? on the five venues with material liquidity for prediction markets. Live odds come from the Polymarket Polygon order book — the only source that ships real-time data under an open licence. For Kalshi, Betfair and Manifold we list platform attributes (fee, KYC, settlement, payment) instead of fabricated odds, because their APIs use non-comparable contract definitions.

Resolution & payout

Settlement runs on-chain. Polymarket's contract logic separates YES and NO shares as conditional tokens; at resolution the winning share lifts to $1.00 and the losing one to $0. The outcome input comes from the UMA Optimistic Oracle, which secures against bad resolution with a bond + dispute window.

Once finalised, the smart contract pays USDC to the holders' wallets within minutes — no withdrawal fees beyond Polygon network gas. Kalshi settles in USD via CFTC clearance, Betfair in account currency net of commission, Manifold in play-money mana with no cash-out.

FAQ

Where can I trade this market with the lowest fees?

On Best Prediction Markets UK, which mirrors the Polymarket order book at 0% fees. Kalshi charges up to 7% per trade; Betfair Exchange takes 2-5% commission on net winnings.

How does resolution work?

Through the UMA Optimistic Oracle on Polygon: a proposer submits the outcome, a two-hour challenge window opens, and USDC payouts settle automatically once the result is final.

What's the difference between YES and NO shares?

A YES share pays $1.00 if the event happens, $0 otherwise. A NO share pays $1.00 if the event doesn't happen. The market price between 0¢ and 100¢ is the implied probability.

Do I need to KYC for this market?

Not under $1,500 of lifetime trading volume. Above that threshold, Best Prediction Markets UK triggers a quick verification flow that finishes in minutes.

How reliable are the quoted odds?

The YES/NO percentages are the live mid-prices of the Polymarket order book. On deep markets they move every few seconds; on thinner ones you'll see short plateaus.