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TrustFinance Global Insights
4월 08, 2026
2 min read
38

A series of significant and precisely timed financial trades preceded major policy announcements during Donald Trump's presidency, leading experts to question potential leaks of nonpublic information.
These events include a $950 million bet on falling oil prices just hours before an Iran ceasefire announcement. In another case, options traders staked millions on an S&P 500 rebound minutes before a tariff pause announcement, turning a $2.14 million investment into a potential $21.44 million. Similar patterns were observed in prediction markets related to military actions and political events, such as bets on the removal of Venezuelan President Nicolas Maduro.
These trades, generating substantial profits from seemingly prescient knowledge, have raised concerns about market fairness and integrity. The activity has prompted calls from lawmakers for tighter regulation and scrutiny, particularly on prediction markets tied to geopolitical events. A White House spokesman affirmed that government ethics guidelines bar federal employees from profiting off nonpublic information and called any implication of wrongdoing baseless without evidence.
The recurring pattern of these highly profitable trades continues to fuel debate over the security of sensitive government information. The incidents highlight the potential for privileged data to be exploited for financial gain, warranting further investigation into market surveillance and enforcement mechanisms.
Q: What assets were involved in these trades?
A: The trades involved a range of assets, including oil futures, stock market options on the S&P 500, long-dated Treasuries, and contracts on prediction market platforms.
Q: Was there an official response regarding these concerns?
A: A White House spokesman stated that federal employees are prohibited from using nonpublic information for profit and dismissed implications of official misconduct as irresponsible.
Source: Reuters via Investing.com

TrustFinance Global Insights
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