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WLFI May Have Signaled Crypto Crash Hours Before Bitcoin: Study

February 15, 2026Updated:February 15, 2026No Comments4 Mins Read
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WLFI May Have Signaled Crypto Crash Hours Before Bitcoin: Study
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World Liberty Monetary Token (WLFI), a DeFi governance token affiliated with the Trump household, could have signaled a serious market breakdown hours earlier than Bitcoin moved, in line with a brand new evaluation by information supplier Amberdata.

The report examines buying and selling exercise on Oct. 10, 2025, when roughly $6.93 billion in leveraged crypto positions have been liquidated in underneath an hour. Bitcoin (BTC) fell about 15% and Ether (ETH) dropped roughly 20%, whereas smaller tokens misplaced as a lot as 70%.

Amberdata discovered that WLFI started a pointy decline greater than 5 hours earlier than the broader market downturn. On the time, Bitcoin was nonetheless buying and selling close to $121,000 and confirmed little rapid stress.

“A five-hour lead time is tough to dismiss as coincidence,” Mike Marshall, who authored the report, instructed Cointelegraph. “That period is what separates a genuinely actionable warning from a statistical artefact,” he added.

Associated: Senators ask Bessent to probe $500M UAE stake in Trump-linked WLFI

WLFI anomalies earlier than the selloff

Researchers analyzed three uncommon patterns, together with a surge in buying and selling exercise, a pointy divergence from Bitcoin and excessive leverage, to find out whether or not WLFI signaled stress earlier than the broader market selloff.

WLFI’s hourly quantity jumped to roughly $474 million, about 21.7 instances its regular stage, inside minutes of tariff-related political information. In the meantime, funding charges on WLFI perpetual futures reached about 2.87% each eight hours, equal to an annualized borrowing price close to 131%.

WLFI May Have Signaled Crypto Crash Hours Before Bitcoin: Study
WLFI funding score. Supply: Amberdata

The examine doesn’t declare insider buying and selling occurred. As an alternative, it argues the way in which crypto markets are structured could make sure belongings matter greater than their dimension suggests.

WLFI’s holder base is concentrated amongst politically linked contributors, the report says, not like Bitcoin’s broadly distributed possession. Marshall stated the buying and selling sample appeared “instrument-specific,” that means exercise was centered on WLFI quite than throughout the broader crypto complicated.

“If this have been superior evaluation (subtle contributors studying the tariff headlines quicker and drawing higher conclusions) you’d count on to see that mirrored extra broadly,” he stated. “What we truly noticed was concentrated exercise in WLFI first.”

The timing is notable. Buying and selling quantity accelerated roughly three minutes after public tariff information. Marshall stated such pace suggests ready execution quite than retail merchants deciphering headlines in actual time.

The hyperlink between WLFI and the broader market drop comes all the way down to leverage. Many crypto buying and selling platforms let merchants use a number of belongings as collateral for borrowed positions. When WLFI fell sharply, the worth of that collateral dropped, forcing merchants to promote liquid belongings like Bitcoin and Ether to cowl their positions. These gross sales pushed costs decrease and triggered additional liquidations throughout the market.

WLFI crashed forward of Bitcoin. Supply: Amberdata

Associated: Trump household’s WLFI plans FX and remittance platform: Report

WLFI reacted quicker than Bitcoin to emphasize

Amberdata’s information reveals WLFI’s realized volatility reached almost eight instances that of Bitcoin through the episode, making it notably delicate to emphasize. Researchers argue that structurally fragile, extremely leveraged belongings could transfer first throughout market shocks.

Marshall stated the findings shouldn’t be interpreted as proof that WLFI can reliably predict downturns. The evaluation covers a single occasion, and extra information can be wanted to determine statistical consistency. Nonetheless, he believes the habits is critical.