Bitcoin Drops to $75,700 as AI Stock Sell-Off Sparks Crypto Liquidations

Institutional ETF Outflows Compound Crypto Market Pressure

Institutional demand for crypto investment vehicles faced heavy headwinds prior to Thursday’s downward slide, according to fund performance tracking from FarSide. Across three pivotal sessions, spot Bitcoin exchange-traded funds recorded substantial capital withdrawals: $643.2 million departed on October 30, followed by an additional $398.6 million on November 2 and $115.6 million on November 3. Altogether, the three-day run of redemptions totaled $1.16 billion.

Although the outflow streak momentarily reversed on November 4 with a net positive movement of $74.6 million into the products, the underlying fund dynamics painted a contrasting picture. Fidelity’s FBTC led gains by drawing in $236.7 million in fresh assets, yet BlackRock’s IBIT saw an offsetting drop of $201.2 million. The tally for November 5 remains partial as various fund providers have yet to release their figures. This pattern comes on the heels of earlier volatility, including a single-day outflow of $487 million logged in October, prompting market observers to question whether the early November intake signaled genuine stabilization or merely a fleeting pause in ETF redemptions.

Tech Rout and AI Valuation Worries Spill Across Broad Markets

The softening sentiment surrounding spot Bitcoin allocations coincided with a severe downturn across technology equities, notably companies heavily invested in artificial intelligence. On Thursday, the Nasdaq ended the session down 5.5% at 24,315.00—placing it 11.9% below its October high-water mark. Meanwhile, the S&P 500 tumbled 4.4%, and AI bellwether Nvidia retreated 9.3%.

Equity traders and money managers are increasingly scrutinizing the timeline for substantial capital expenditures in the AI pipeline to yield realized revenue. Elevated borrowing environments and prospective legislative boundaries on computing infrastructure post-midterms have intensified caution. Swissquote analyst Ipek Ozkardeskaya told Reuters:
“Coming into this earnings season, there were worries that AI spending was too much.”
Adding to these structural concerns, Michael Cembalest of J.P. Morgan highlighted an 8% drop in hedge funds’ gross long-short exposure alongside an estimated $4 trillion in AI-related off-balance-sheet commitments—commitments that do not represent immediate liabilities but carry overarching weight. Cembalest further sounded alarms regarding 37.5 gigawatts of planned capacity through 2028 and beyond.

Correlation and the Impact on Digital Assets

While a direct causal link remains unproven, the shifting statistical connection between digital assets and traditional tech shares is under heightened scrutiny. Data from Foundry Labs indicated a 0.41 correlation between Bitcoin and the Invesco QQQ Trust—which tracks the Nasdaq-100—measured across a 63-day window. The research emphasized that publicly listed Bitcoin mining enterprises increasingly trade alongside AI hardware and data center infrastructure equities.

Complementary findings from S&P Global similarly illustrate that Bitcoin tends to move in lockstep with equity indices during broad de-risking cycles. Historical observations from 2025 demonstrated that election-tied macroeconomic turbulence simultaneously affected energy, equities, and digital currencies. Even so, analysts maintain that shared macroeconomic risk aversion, rather than the tech selloff alone, dictated Thursday’s crypto valuation dip.

Critical Support Levels and Legislative Crossroads

As Bitcoin faces resistance in establishing upward traction, trading desk Wintermute characterized Wednesday’s brief rebound as a spell of short-lived optimism. Wintermute highlighted the $73,000 and $68,000 thresholds as the immediate support levels to defend, noting that the digital currency must convincingly reclaim the $80,000 territory before a decidedly constructive outlook can take shape.

Political developments may present additional headwinds for market clarity. Wincent’s Paul Howard observed that seat pickups by Democrats in Congress could pose hurdles for regulatory progression, notably dampening the legislative momentum behind the Clarity Act. Concurrently, traders are awaiting final ETF redemption and subscription reports to determine if institutional capital is returning to digital assets or merely pausing before another round of liquidations.

Why This Matters

The convergence of large-scale spot ETF liquidations and an institutional retreat from elevated AI valuations underlines the maturing, interconnected nature of cryptocurrency within traditional finance. Because corporate miners share energy resources and capital models with AI infrastructure firms, tech equity performance now exerts a more direct psychological and liquidity influence on digital assets. Furthermore, with potential regulatory pathways like the Clarity Act encountering fresh legislative resistance, institutional capital allocators may continue to exhibit caution until clearer macro and policy signals emerge.

Frequently Asked Questions

What support and resistance levels are analysts tracking for Bitcoin?

Market analysts at Wintermute are closely tracking $73,000 and $68,000 as primary downside support levels. On the upside, analysts consider a sustained recovery above $80,000 necessary before shifting to a more bullish posture.

How large were the institutional outflows from Spot Bitcoin ETFs?

Prior to the November 4 rebound, Spot Bitcoin ETFs recorded a three-day outflow total of $1.16 billion, consisting of $643.2 million withdrawn on October 30, $398.6 million on November 2, and $115.6 million on November 3.

How are AI equities and Bitcoin fundamentally connected?

According to analysis from Foundry Labs, Bitcoin holds a 0.41 correlation with the Nasdaq-tracking QQQ fund over a 63-day period. Publicly traded Bitcoin mining companies increasingly mirror the operational and price behavior of AI computing infrastructure, causing digital assets to react in parallel when tech markets experience de-risking.