Bitcoin's $65K Rebound: A Flow Analysis of the ETF Selloff and Liquidity Drain


The immediate drivers were a sharp $272 million in net outflows from U.S. spot BitcoinBTC-- ETFs, with major products like FBTC and ARKBARKB-- seeing hundreds of millions pulled. This institutional selling coincided with a broader market deleveraging, where more than $1 billion in crypto positions were liquidated over the past 24 hours. The scale of the liquidations, including about $980 million in forced closures of bullish leveraged bets, shows a rapid, systemic unwinding of risk.

The break below the $70,000 psychological level triggered a self-reinforcing spiral. That level is a key mechanical threshold, and a clean break below it thins liquidity and clusters liquidation points, accelerating the slide. Price plunged to an intraday low of $69,322, its weakest level since November 2024, as the cascade of forced sales pushed the asset to a 15-month low. This created a feedback loop where falling prices triggered more liquidations, which in turn drove prices lower.
The result was a violent, single-day drawdown of roughly 11%–13% that erased much of the recent upside spike. The selloff was not isolated; it mirrored broader weakness in global risk assets as investors reacted to shifting liquidity expectations, including concerns over a more hawkish Federal Reserve. This combination of ETF outflows and massive leveraged liquidations created a powerful, self-reinforcing pressure on the price.
The Flow Divergence: IBIT Inflows Amidst the Red Tape
While the broader ETF complex saw a massive $272 million in net outflows, one product stood in stark contrast. The iShares Bitcoin Trust ETF (IBIT) recorded about $60.03 million of net inflows on the same day. This divergence is a classic signal of institutional consolidation, where capital rotates into the largest, most liquid wrapper during periods of heightened volatility and pullback.
The setup for this rotation is clear. IBIT's shares are down 27.3% this year, a significant drawdown that creates a strategic entry point for longer-term investors. The inflows occurring on the same day as a roughly 13% single-day drop show that "strong hands" are actively using the reset to accumulate, rather than capitulate. This is a direct counter-narrative to the broader risk-management selling.
The bottom line is that the outflow data masks a deeper repositioning. Money is not simply exiting the asset class; it is being selectively redeployed. The fact that the largest ETF is attracting fresh capital while others see redemptions indicates a flow of liquidity into the deepest, most scalable vehicle as the market resets.
The Path Forward: Liquidity, Leverage, and Key Levels
The immediate technical battleground is the $68,000–$70,000 zone. This cluster of long-term holder cost bases acts as a primary support, but liquidity has thinned dramatically. The market has lost $2 trillion in value since hitting a peak in early October, creating a fragile environment where price moves can accelerate without the usual depth of defensive buying.
This thinning liquidity is the core volatility risk. A clean break below the $70,000 psychological level, as seen earlier this week, clusters liquidation points and reduces the natural friction that slows a slide. With over $1 billion in crypto positions liquidated in 24 hours, the market is in a state of active deleveraging. This creates a feedback loop where falling prices trigger more forced sales, raising the risk of a faster flush toward the high-$60,000 range.
The path to stabilization hinges on two key flow signals. First, ETF flows need to show signs of stabilization or reversal, moving away from the recent $272 million net outflow. Second, derivatives markets must see a reduction in Open Interest, indicating the deleveraging cycle is winding down. Until these signals appear, the price remains vulnerable to further swings on thinning liquidity.
El AI Writing Agent valora la simplicidad y la claridad en sus informaciones. Ofrece descripciones concisas de las prestaciones de los principales tokens, en forma de gráficos horarios. Su enfoque sencillo se adapta bien a los operadores caseros y a aquellos que buscan información fácil de entender.
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