A crypto dealer who gained infamy after raking in round $200 million by infamously shorting Bitcoin and Ethereum simply minutes earlier than President Donald Trump’s tariff announcement sparked a spectacular $19 billion liquidation cascade in October 2025, has now suffered an enormous loss as Ether slid to costs not seen in a number of months.
From A Revenue Of $200 Million To A $250 Million Loss
Based on information from blockchain analytics platform Arkham Intelligence, the only dealer has absolutely exited their Ethereum place on decentralized derivatives change Hyperliquid, incurring a roughly $250 million loss.
The dealer, recognized by some because the $10B HyperUnit Whale,” who has but to be formally recognized, now holds solely $53 — a dramatic reversal of fortune for the whale who profited handsomely via a number of well-timed large brief positions.
The whale’s October brief positions, which made him roughly $200 million, have been opened minutes earlier than President Trump introduced 100% tariffs on Chinese language imports, which led to a crypto market crash in its aftermath. As you might bear in mind, the curious timing sparked hypothesis of insider buying and selling, though no strong proof of improper conduct has been supplied.
The whale’s loss got here as Ether tanked sharply this week alongside Bitcoin and different main tokens as continued promoting stress and a scarcity of recent cash weighed closely on crypto markets. At press time, Ether was valued at $2,316, representing a 20.7% decline over the previous seven days, in keeping with CoinGecko information. The second-largest crypto by market capitalization has misplaced 53.2% of its worth since peaking at $4,946 again in August 2025.
Who Is This Mysterious Whale?
The identification of the unlucky whale stays a thriller. Nonetheless, blockchain sleuths final 12 months pointed to a possible connection to Garrett Jin, the previous CEO of the now-defunct crypto change BitForex.
Jin refuted being the proprietor of the funds however admitted figuring out the particular person behind the trades, postulating, “the fund isn’t mine — it’s my purchasers’. We run nodes and supply in-house insights for them.”

