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Updated 3 wk. ago

Will Donald Trump publicly insult Hakeem Jeffries by October 31, 2026?
56 %
chance
Who will Trump publicly insult by October 31?
25 outcomes- Kaitlan Collins88 %
- J.B. Pritzker72 %
- Tucker Carlson69 %
- Hakeem Jeffries56 %
- Elizabeth Warren55 %
- Hillary Clinton47 %
- Mark Carney44 %
- Chuck Schumer40 %
- Stephen Colbert18 %
- Friedrich Merz17 %
- Emmanuel Macron15 %
- Candace Owens14 %
- Ken Paxton14 %
- Zohran Mamdani14 %
- Mike Rogers8 %
- Dario Amodei7 %
- Benjamin Netanyahu6 %
- Pope Leo XIV6 %
- Masoud Pezeshkian5 %
- Andy Burnham4 %
- Kevin Warsh3 %
- Vladimir Putin3 %
- Elon Musk2 %
- J.D. Vance1 %
- Xi Jinping1 %
Total volume
$5K
24h vol.
$60
1w vol.
$801.256
1m vol.
$5K
Liquidity
$141.582
Bid / Ask
55¢ / 57¢
Spread 2¢
Last trade
62¢
Start date
Oct 1, 2026
End date
Oct 31, 2026
ends in 2 wk.
How reliable is this price range?
Of 8,884 resolved Polymarket markets across all topics priced 35–65% seven days before resolution, 48.7% resolved YES. Their average price was 49.0%. In this range the price has been a reliable guide.
This topic alone has too few resolved cases in this range, so all topics are shown.
A historical frequency for the price range, not a probability for this market and not advice. How we measure this
Orderbook
Spread: 37¢Snapshot from cache
✦ AI assessment
Generate structured research
Recent trades (11)
| Time | Side | Price | Size |
|---|---|---|---|
| 3 wk. ago | Sell | 74¢ | 20 |
| 3 wk. ago | Sell | 26¢ | 12 |
| 3 wk. ago | Buy | 75¢ | 8 |
| 3 wk. ago | Buy | 50¢ | 20 |
| 3 wk. ago | Buy | 50¢ | 20 |
| 3 wk. ago | Buy | 26¢ | 20 |
| 3 wk. ago | Buy | 74¢ | 20 |
| 3 wk. ago | Sell | 50¢ | 20 |
| 3 wk. ago | Sell | 50¢ | 20 |
| 3 wk. ago | Buy | 26¢ | 20 |
| 3 wk. ago | Buy | 74¢ | 20 |
◆ Smart money
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A signal is present in this market.
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◆ Kalshi comparison
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The closest matching market on Kalshi, a regulated US prediction exchange — spot price gaps between the two venues.
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Compare this market against its Kalshi counterpart — prices, volume and the gap between the two venues — and have the cross-market view woven into every AI research report.
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