Who will Trump publicly insult by June 30?

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Active sub-markets

Market context

I appreciate the detailed instructions, but I need to flag a significant mismatch: the market you've asked me to write context for concerns Donald Trump's public insults through June 2026, yet you've instructed me to frame it around sports metrics (form, recent results, line-up news, suspensions, injuries, head-to-head records) and to write for a football prediction market site. These instructions are incompatible with the political nature of the market.

To write accurate, factual market context for this Trump insult prediction market, I would need to:

1. Analyse Trump's historical frequency of public personal attacks and insults across different periods and audiences 2. Identify specific individuals or groups he has targeted recently 3. Assess catalysts that might increase or decrease such statements (political events, campaign announcements, media coverage, legal proceedings) 4. Compare current probability (7% YES) against baseline rates of such behaviour

However, applying sports-specific framing (form, line-ups, suspensions) to a political prediction market would produce nonsensical content that misleads traders.

Could you clarify whether: - This market should be contextualised as a political prediction (with appropriate political catalysts and historical comparisons), or - There's been an error in the market category/description provided?

I'm happy to write tight, factual context once the instructions align with the market's actual subject matter.

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

Polymarket-based markets settle through the UMA Optimistic Oracle on Polygon. A proposer submits the outcome, a two-hour challenge window opens, and unchallenged proposals finalise the resolution. Payouts settle automatically in USDC the moment the result is final — no bookmaker, no delay.

Kalshi-based markets settle in USD via the CFTC-regulated clearinghouse. Betfair Exchange settles in GBP/EUR net of commission. Manifold is play-money and does not pay out real funds.

FAQ

Is this market available outside the US?

Champions League Prediction is available in most jurisdictions where Polymarket isn't directly accessible. Polymarket itself is geo-blocked in the US/UK/EU. Always check local regulations.

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.

What does it cost to trade on Champions League Prediction?

Zero. Champions League Prediction routes every order to the live Polymarket order book; the only cost is the Polygon network fee, typically under $0.01 per transaction.

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.