
Trump disclosed over $500M from a crypto sale. Polymarket 2028 election odds: Vance 19.75%, Trump 1.45%. Volume $643M. Watch for odds shifts after disclosure.
Donald Trump disclosed more than $500 million from a crypto sale, according to a report published June 30. Earlier reports had the Trump family netting $500M from WLFI token sales.
On Polymarket's "Presidential Election Winner 2028" contract, JD Vance leads at 19.75% Yes. Marco Rubio follows at 13.75%, and Gavin Newsom at 12.25%. Trump sits at 1.45% Yes, with Ron DeSantis at 1.25%. Total volume on the contract stands at $642.9 million. The odds show traders concentrating probability in a small cluster of names while assigning very low implied chances to the bottom of the listed field. Resolution is set for Nov. 7, 2028. The $642.9 million in volume makes this one of the most active political prediction markets on Polymarket.
Other Polymarket contracts show concentrated liquidity. "Republican Presidential Nominee 2028" prices Robert F. Kennedy Jr. at 49.0% with $666.7 million in volume. "Next leader out of power before 2027? (No Orban)" prices Starmer - UK PM at 94.5% on $12.4 million. In emerging-markets politics, "Venezuela leader end of 2026?" puts Nicolás Maduro at 79.75% with $92.2 million traded. "Who will sign U.S. x Iran deal?" has Masoud Pezeshkian at 100.0% on $1.8 million. These contracts indicate where traders are placing bets beyond the U.S. presidential race.
Whether Trump's 1.45% line moves relative to the leader band near 12% to 20% is the key question. Total volume accelerating beyond $642.9 million would also signal changing expectations. The disclosure has not yet shifted the odds; Trump's line has remained stable since the report, according to Polymarket data. The $500 million figure is a large personal crypto liquidation by a former U.S. president.
Prepared with AlphaScala research tooling and grounded in primary market data: live prices, fundamentals, SEC filings, hedge-fund holdings, and insider activity. Each story is checked against AlphaScala publishing rules before release. Educational coverage, not personalized advice.