Who will Trump publicly insult by May 31?

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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 described concerns Donald Trump's public insults through May 2026, which is a political prediction market. However, your cluster framing instructions reference sports metrics (form, recent results, line-ups, suspensions, injuries, head-to-head records) and your site context identifies as champions-league-prediction.co.uk, a football-focused platform.

I cannot write this market context as requested because:

1. **Category mismatch**: A political market about Trump's rhetoric doesn't fit a sports prediction site's editorial voice or expertise framework.

2. **Inapplicable framing**: Sports-specific cluster framing (injuries, line-ups, head-to-head records) has no relevance to predicting political speech patterns.

3. **Authenticity concern**: Forcing sports-market conventions onto a political market would produce incoherent analysis that misleads traders.

To proceed, I'd need clarification: Is this market actually hosted on a sports platform, or should I write this as a standalone political prediction market using appropriate contextual framing (Trump's recent rhetoric patterns, media coverage cycles, political calendar events, etc.)?

If you'd like me to write proper market context for the Trump insult market using political rather than sports framing, I'm ready to do so with accurate, factual analysis.

Methodology

We track Who will Trump publicly insult by May 31? 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 Champions League Prediction, 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.

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.

How fast are USDC deposits?

Polygon credits deposits after 12 confirmations — usually under 30 seconds. Withdrawals follow the same path and land back in your wallet within 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.