AI Stocks

Aug 16, 2026

Crypto Equity Perpetual Volume Hits $250B in July, Up 17x in Three Months: CryptoQuant

Equities AI Stocks, Binance, CryptoQuant, Equity Perpetual Futures, Gate Exchange, Semiconductor ETFs

EquitiesAugust 16, 2026·6 min read

Crypto exchanges processed $250 billion in equity perpetual futures volume during July, a seventeen-fold surge from April’s $15 billion, signaling that institutional and retail crypto capital is now actively trading traditional stocks around the clock outside conventional market hours. This expansion transforms digital asset platforms into legitimate venues for equity exposure, but the market’s extreme concentration in semiconductor and AI stocks raises questions about systemic risk and whether volume growth can sustain without broader asset diversification.

Equity perpetual futures volume reached $250 billion in July, up from approximately $15 billion in April
Binance commanded 76 percent of the market at $193 billion, while Gate.io grew 308 percent month-over-month
SanDisk and SK Hynix alone accounted for 53 percent of Gate.io’s total equity perpetual volume

$250B Monthly equity perpetual futures volume in July across all exchanges
17x Growth rate from April levels in just three months of trading
76% Binance’s market share of total equity perpetual futures volume

The cryptocurrency derivatives market has crossed a structural threshold. Data compiled by CryptoQuant shows that digital asset exchanges processed approximately $250 billion in monthly volume trading perpetual contracts linked to traditional equities during July, marking an explosive expansion of a market segment that barely existed at institutional scale six months ago.

The April baseline of roughly $15 billion in monthly volume establishes the scale of the acceleration: crypto exchanges have channeled seventeen times more volume into equity perpetual products in a single quarter.

This trajectory reflects a fundamental shift in how institutional and high-volume retail traders are accessing traditional markets, leveraging crypto infrastructure to bypass the geographic and temporal constraints of conventional exchanges.

Binance Dominates at 76 Percent While Gate.io Expands Fastest

Binance maintained decisive control over the equity perpetual market in July with approximately $193 billion in monthly volume, representing 76 percent of all activity across platforms offering these contracts.

The exchange’s scale advantage reflects both its existing user base and the liquidity benefits of market leadership, though the monthly growth rate of 59 percent signals that even the dominant player is not growing as quickly as smaller competitors.

Gate.io, by contrast, emerged as the month’s growth leader, recording a month-over-month volume increase of 308 percent from June, substantially outpacing Bybit’s 176 percent gain and underscoring how rapidly market share can shift when smaller platforms invest in distribution and product depth.

The competitive dynamics mirror patterns seen in spot trading and perpetual crypto futures, where Binance’s size attracts liquidity but does not prevent rivals from capturing disproportionate growth. Bybit and Gate.io have aggressively marketed equity perpetuals to Asian and European retail traders, regions where traditional brokerage access remains fragmented or expensive.

Gate.io’s 308 percent monthly expansion, combined with consecutive monthly gains since May, suggests that the platform has found product-market fit in specific geographies or trader segments that Binance’s broader positioning may not fully capture.

The question for institutional investors is whether this growth remains sustainable or whether it reflects a temporary arbitrage that will compress as larger, regulated venues enter the market.

Semiconductor and AI Stocks Control 53 Percent of Gate.io’s Trading

The equity perpetual market’s explosive growth masks a critical concentration risk: trading volume is overwhelmingly dominated by a narrow cohort of technology and semiconductor-linked assets.

On Gate.io, SanDisk and SK Hynix together accounted for 53 percent of all equity perpetual futures volume in July, a level of concentration that would trigger regulatory scrutiny in traditional derivatives markets.

Across all platforms, the pattern persists: trading clusters around memory chip manufacturers (Micron, SK Hynix), storage vendors (SanDisk), and the leveraged semiconductor ETF SOXL, reflecting what analysts describe as the “AI-memory complex.” The dominance of these three or four assets suggests that volume growth is not yet driven by retail demand across a diversified equity menu, but rather by institutional or sophisticated traders positioning for artificial intelligence infrastructure trends.

This concentration creates dual implications for institutional participants. On one hand, it signals that serious capital is already using crypto exchange infrastructure to gain leveraged exposure to secular AI and chip trends, validating the platforms’ product strategy. On the other hand, the lack of volume breadth raises questions about market depth and execution quality outside the core assets.

An institutional fund seeking to build positions in mid-cap semiconductors or software companies would face significantly wider spreads and less predictable price discovery than it would on traditional equity derivatives venues. The market is not yet mature enough to be a true alternative to CME or CBOE for most equity derivatives strategies.

CryptoQuant’s analysis indicates that Gate.io’s exceptional growth is partly attributable to its concentrated user base trading the same handful of assets with high leverage, a dynamic that can accelerate price moves but also compounds liquidation cascades if sentiment reverses suddenly.

Whether this concentration persists as the market matures will depend on whether new entrants to crypto exchanges demand exposure to less liquid stocks or whether platform competition eventually forces price compression, making broader baskets more attractive to traders.

Crypto Platforms Expanding into Traditional Finance Infrastructure

The surge in equity perpetual volume reflects a broader strategic shift among major crypto exchanges: the transition from single-asset (Bitcoin, Ether) or cryptocurrency-only platforms to multi-asset derivatives venues that compete directly with traditional financial infrastructure.

Rather than limit themselves to crypto volatility and speculation, exchanges like Binance and Gate.io are effectively licensing or building market-making operations around traditional equities, allowing users to access stocks through crypto infrastructure without converting to fiat or opening traditional brokerage accounts.

This model compresses friction for crypto-native capital and expands the addressable market for platforms that previously competed only on cryptocurrency margins and volumes.

The continuous, always-on trading window is the key innovation. Traditional equity markets operate during fixed sessions (9:30 AM to 4:00 PM ET for U.S. stocks), and even extended trading hours pale compared to crypto market availability.

By offering perpetual contracts linked to equities, exchanges enable global traders to take positions during their local business hours or overnight, hedging their crypto portfolios or gaining exposure to stocks without waiting for the New York open. This advantage is especially valuable for Asian and Middle Eastern traders, who face inconvenient hours for traditional equity trading.

For institutional investors, the emergence of crypto exchanges as equity derivatives venues raises regulatory and counterparty questions that remain unresolved.

Regulatory Clarity and Institutional Adoption Hinge on Licensing Status

The rapid expansion of equity perpetual trading on crypto exchanges occurs in a regulatory gray zone that could either accelerate mainstream adoption or trigger enforcement actions that disrupt the market.

Binance, Gate.io, and Bybit operate under varying regulatory regimes: Binance holds Money Transmitter licenses in multiple U.S. states but faces ongoing scrutiny from the SEC and CFTC; Gate.io operates primarily outside the U.S. regulatory perimeter; and Bybit operates from the Cayman Islands.

None hold the market-maker or broker-dealer licenses that would be required to offer equivalent products through regulated channels in the United States or European Union. This regulatory gap creates both opportunity and risk for institutional capital.

The opportunity lies in speed and accessibility: crypto exchanges can launch and scale new equity perpetual products faster than traditional brokers, which must navigate derivatives regulation, position limits, and margin requirements.

The risk is that regulators may view equity perpetuals offered by unregulated or loosely regulated crypto exchanges as illegal securities or derivatives trading conducted without proper licensing.

The U.S. Securities and Exchange Commission has already initiated enforcement actions against platforms offering unregistered options and leveraged equity products; it is not clear whether equity perpetuals fall into the same category, but the July volume surge may prompt the agency to clarify its position.

For institutional investors considering these venues, the key calculus is whether regulatory risk is offset by execution advantages and lower fees.

Hedge funds and proprietary trading firms may tolerate counterparty risk on smaller positions in order to access leverage and liquidity that traditional venues cannot match, but larger allocations would require clearer legal pathways or partnerships with regulated intermediaries that settle flows through established clearing systems.

The SEC’s

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Jul 23, 2026

Analyst: Bitcoin Stuck Near $65K Because Capital Is Flowing to AI

Bitcoin AI Stocks, Bitcoin, Capital Flow, Nvidia, Risk Assets, Spot ETFs, Treasury Yields

BitcoinJuly 23, 2026·5 min read

Bitcoin is stuck in a narrow $62,500, $66,900 trading band as capital flows to AI infrastructure spending rather than crypto, with Big Tech allocating $190, $205 billion to AI this year while spot Bitcoin ETFs saw only $1 billion in inflows over seven days. For institutional investors, this divergence signals that macro headwinds, elevated real yields and a strong dollar, are redirecting risk capital away from non-yielding assets, and a break above $68,000 may be required to restore momentum.

Bitcoin traded near $65,400 after swinging between $62,500 and $66,900 over the past week, down 25% year-to-date versus AI stocks up roughly 69% since January.
Spot Bitcoin ETFs recorded just under $1 billion in inflows over seven consecutive days, compared with $6.9 billion in outflows during May and June combined.
Big Tech AI infrastructure spending reached $190, $205 billion annually, with Nvidia’s data center revenue up 92% year-over-year, outpacing institutional crypto fund flows significantly.

$190-205B Big Tech AI infrastructure spending this year versus crypto fund inflows.
92% Nvidia data center revenue growth year-over-year, signaling concentrated capital allocation.
$65,400 Bitcoin trading level near recent weekly midpoint, 45% below October all-time high.

Bitcoin’s inability to sustain a rally above $66,000 this week reflects a structural reallocation of institutional capital toward artificial intelligence infrastructure rather than digital assets, according to analyst Wise Crypto.

The cryptocurrency has spent the past seven days oscillating within a tight $3,600 band, unable to break decisively higher despite seven consecutive days of inflows into spot Bitcoin exchange-traded funds.

That inflow streak, totaling just under $1 billion, pales in comparison to the $6.9 billion that flowed out of the same products during May and June, underscoring the fragility of current demand.

The capital destination is clear: Big Tech firms are committing $190 billion to $205 billion annually to AI infrastructure buildout, a pace that dwarfs any recent momentum in crypto investment vehicles. Nvidia, the primary beneficiary, reported data center revenue growth of 92 percent year-over-year, attracting the bulk of risk capital seeking exposure to secular technology trends.

Over the same period since January, AI-linked equities have rallied roughly 69 percent, while Bitcoin has declined approximately 25 percent, a divergence that explains both the inflow weakness and the technical malaise.

The macro environment reinforces this reallocation by punishing non-yielding assets. Two-year Treasury yields near 4.3 percent and ten-year yields near 4.6 percent keep the dollar supported and borrowing costs elevated for speculative positions.

Real Yields and Treasury Curve Pressuring Bitcoin Above $60,000 Floor

The technical pressure on Bitcoin stems partly from shifts in real interest rates, which have climbed to post-pandemic highs.

Brent crude sitting near $94 per barrel following escalating US-Iran strikes has kept inflation expectations volatile, while ten-year Treasury Inflation-Protected Securities yields have reached approximately 2.31 percent, a level not seen since before the pandemic disrupted markets.

For an asset that produces no cash flow, these elevated real yields make holding cash and Treasury instruments more attractive than holding speculative risk assets.

Ted Pillows, a market observer tracking these cross-asset dynamics, noted Thursday that the combination of geopolitical pressure on crude and elevated real yields creates an unfavorable backdrop for Bitcoin.

He argued that defending the $64,000 level mattered more strategically than chasing a rally back toward $66,500, a view that reflects cautious sentiment even among traders who acknowledge Bitcoin’s long-term potential.

The resistance has held because sellers emerge whenever Bitcoin approaches $66,500 to $68,000, a pattern consistent with profit-taking by earlier buyers seeking to exit positions near breakeven.

Wise Crypto summarized the path forward plainly: Bitcoin requires lower inflation, falling yields, and stronger demand to break out of its $60,000, $70,000 consolidation range. None of those conditions are currently present or widely expected by consensus in the near term.

$68,000 Resistance and Double-Bottom Pattern Target $173,000 if Support Holds

Traders monitoring technical levels have identified $68,000 as the critical near-term hurdle, with a sustained break above that zone potentially opening a path toward $73,000. Michaël van de Poppe, a closely followed technical analyst, flagged that Bitcoin has already reached its target area and that holding above the 21-day moving average is necessary to maintain optionality for further upside.

However, that same $68,000 level has proven problematic historically: Bitfinex analysts noted that short-term holders who accumulated Bitcoin in the $67,900, $68,300 range tend to sell as soon as they recover their cost basis, a pattern that has capped rallies repeatedly.

Axel Adler reported that spot Bitcoin ETFs have absorbed $439 million in inflows so far this week, a modest pace that suggests institutional conviction remains mixed.

More intriguingly, the so-called Coinbase discount, a metric tracking price discrepancies between Coinbase and other venues, has persisted for 78 consecutive days and has only recently begun to narrow, hinting that some regional buying pressure may finally be emerging.

Further out, analyst EGRAG CRYPTO identified a developing double-bottom pattern on weekly timeframes that would require a weekly close above $83,000 to gain technical credibility. If validated, that setup targets $173,000 eventually, a level that would represent roughly 165 percent upside from current trading but remains conditional on both immediate support holding and macro conditions improving.

Conversely, a weekly close below $51,000 would invalidate the pattern entirely, collapsing the bull case entirely.

The immediate trigger for a Bitcoin reacceleration will likely depend on Fed signals regarding rate cuts or inflation, specifically whether the December Federal Open Market Committee meeting yields language suggesting policy relief in 2025.

If real yields remain anchored above 2.3 percent and AI spending continues absorbing incremental capital flows, Bitcoin faces structural headwinds that may keep it range-bound until macro conditions shift materially.

Nvidia’s Data Center Dominance Illustrates Capital Concentration Risk for Crypto

Nvidia’s data center revenue surged 92% year-over-year, generating an estimated $60 billion in annual data center sales alone, far outpacing the entire institutional crypto fund inflow universe.

This concentration of capital into a single semiconductor vendor reveals how macro conditions, elevated real yields above 2.5% and a strengthening dollar index near 104, have created a winner-take-most environment favoring hard-asset productivity over speculative positions.

Bitcoin’s lack of cash flows makes it uniquely vulnerable in this regime, as portfolio managers defend nominal returns through duration assets and productivity-linked equities rather than non-yielding alternatives.

Historically, crypto capital flows have moved counteryclically to equities during periods of monetary loosening or equity drawdowns. However, the 2024 AI spending cycle has inverted that relationship. During the 2020-2021 bull run, spot Bitcoin ETF inflows rarely exceeded $500 million weekly; today’s $1 billion seven-day total appears strong in isolation but masks a structural shift.

Nvidia trades near $140 per share with a forward price-to-earnings ratio above 60, yet institutional investors continue rotating into the name because AI capex commitments are multi-year and contractual. Bitcoin, by contrast, carries no such structural demand guarantees and must instead rely on sentiment reversals or macro policy shifts.

The critical question for institutional allocators remains whether the AI capex cycle will eventually satiate, or whether Nvidia and peers will sustain triple-digit revenue growth through 2025. If capex spending moderates and real yields begin to fall, a scenario that would typically benefit Bitcoin, the timing of that pivot will determine whether spot Bitcoin ETFs capture the reallocation or whether crypto remains a secondary beneficiary behind equities and duration assets.

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Jul 7, 2026

Bank of America Warns That AI Investors Are in for a Nasty Reality Check

Institutional AI Stocks, Bank of America, Market Correction, Market Valuation, S&P 500, Shiller CAPE Ratio, Tech Valuations

AI NewsJuly 7, 2026·5 min read

Bank of America has warned that speculation in high-multiple technology stocks has reached extreme levels, with valuations now decoupled from earnings at a scale unseen since the 1920s. For institutional crypto investors, this signals potential systemic stress in equity markets that could trigger institutional capital reallocations and heightened volatility across asset classes, including digital assets.

S&P 500 up 9% year-to-date after best quarter since 2020, driven by AI-heavy tech stocks with subdued earnings
Shiller CAPE ratio at 41, compared to 32.5 on Black Tuesday 1929, signaling extreme valuation disconnection from fundamentals
Bank of America warns high-multiple stock rally historically precedes sharp valuation reversals and potential market snapback

41 Current Shiller CAPE ratio versus 32.5 in 1929
9% S&P 500 year-to-date gains through end of last quarter
$300 Morgan Stanley price target for SpaceX, double current trading price

Bank of America issued a stark warning Tuesday that equity markets have entered dangerous territory, with speculation in high-multiple technology stocks reaching the kind of extremes that have historically preceded sharp market reversals.

The S&P 500 has climbed 9 percent year-to-date and achieved its best quarter since 2020, yet much of those gains concentrate in artificial intelligence companies burning through capital expenditure on data centers while reporting subdued or negative earnings.

The valuation gap between what these stocks trade at and what they actually earn has widened to levels not witnessed in a century, according to measures tracked by institutional analysts.

Shiller CAPE Ratio Reaches 41, Exceeding 1929 Pre-Crash Levels

The Shiller cyclically adjusted price-to-earnings ratio, a long-term valuation metric that smooths earnings over a decade, now stands at 41, a figure that surpasses the 32.5 level recorded on Black Tuesday, October 29, 1929, the day of the market’s worst collapse in modern history.

This comparison carries particular weight for institutional investors because it suggests the current equity environment exhibits greater valuation excess than the period immediately preceding the Great Depression, a distinction that rarely appears in mainstream financial analysis.

The ratio measures how expensive the overall stock market is relative to its historical earnings power. When the metric reaches extremes, it typically indicates that equity prices have become untethered from the underlying ability of companies to generate profits.

The 1929 comparison is not meant as a prediction of identical outcomes, but rather as a calibration point for understanding how far current valuations have deviated from historical norms and fundamental economic reality.

Technology companies invested heavily in artificial intelligence infrastructure represent the largest contributors to this valuation inflation.

These firms have sustained multi-trillion-dollar market capitalizations despite capital expenditure levels that currently exceed or consume all operating profits, leaving limited room for shareholder returns or evidence of positive return on invested capital.

The disconnect between the scale of these investments and any demonstrated path to material profitability has alarmed Wall Street analysts tasked with reconciling price with value.

Bank of America Identifies Pattern Preceding Valuation Snapback

In its Tuesday note to clients, Bank of America identified a specific pattern: high-multiple stocks have “gapped up demonstrably,” a technical move that has historically preceded sharp valuation corrections the firm termed a “snapback.” The language signals confidence that the current rally, while impressive on surface metrics, rests on unsustainable foundations and may reverse suddenly rather than gradually.

Capital Economics analysts reinforced this concern, telling media outlets that “this volatility is, in our view, evidence of excessive froth and calls into question the sustainability of this rally.” The statement reflects a growing divide among institutional investors between those maintaining bullish positioning and those reducing exposure or hedging downside risk.

Markets have already experienced warning tremors: a major sell-off in late June wiped out hundreds of billions of dollars in market value across the S&P 500, though indices recovered much of those losses in subsequent weeks.

The June volatility extended beyond U.S. borders. Asian equity markets experienced significant swings, a pattern that analysts interpret as potential early signaling of broader institutional concern. When international markets begin repricing downward, it often precedes U.S. market adjustments because global capital flows reflect real-time assessments of systemic risk across multiple geographies.

The absence of a clear catalyst for these swings, combined with their severity, suggests underlying nervousness about valuation sustainability rather than response to specific corporate or economic news.

SpaceX Ratings and the AI Bet That May Not Pay Off

Despite these warnings, bullish sentiment persists in pockets of Wall Street. This week, Morgan Stanley and Goldman Sachs issued extremely optimistic ratings on SpaceX, setting price targets of $300 and $205 respectively against the company’s current trading price of $150.

Morgan Stanley’s target implies a 100 percent upside from current levels, a bold call in an environment Bank of America itself has flagged as dangerously extended.

SpaceX itself has become a case study in the AI-spending dynamics that concern analysts. The space company went public weeks before the late-June market sell-off and has structured operations with heavy emphasis on artificial intelligence infrastructure.

During the late-June downturn, SpaceX stock plummeted back to its $150 initial offering price, erasing all post-listing gains, a vivid illustration of how quickly sentiment can reverse even in high-profile, well-capitalized technology firms.

The divergence between bullish Wall Street price targets and cautionary warnings from major institutional analysts reflects genuine disagreement about whether AI capital expenditure will eventually generate returns that justify current valuations, or whether companies are engaged in a competitive dynamic that forces spending regardless of profitability prospects.

For investors allocating capital, the dispute remains unresolved, and competing narratives continue to sustain the kind of volatility and valuation disconnect that Bank of America has identified as unsustainable.

What Institutional Crypto Investors Should Monitor in Equity Market Stress

For institutional investors active in cryptocurrency markets, this equity environment carries direct implications. Crypto asset prices often correlate with institutional risk appetite and access to leverage from traditional financial institutions.

When equity markets experience the kind of sudden repricing or volatility spike that Bank of America warns may be imminent, institutional crypto positions frequently face forced liquidations as prime brokers and lending desks reduce leverage across all asset classes simultaneously.

The pattern has repeated across multiple market cycles: stress in equity markets, particularly among technology stocks, triggers a chain reaction of deleveraging that extends into cryptocurrency markets. Bitcoin and Ethereum have historically shown negative correlation with equity drawdowns during periods of broad risk-off positioning, even though longer-term correlations vary.

If equities experience the kind of valuation snapback Bank of America describes, institutional capital reallocation away from speculative assets would likely create near-term headwinds for crypto positioning.

Additionally, the current environment raises questions about the sustainability of venture capital and private equity funding flows that have sustained much of the crypto infrastructure buildout.

If the AI bubble deflates and institutional investors recognize diminished returns on data center spending and related technology infrastructure, capital available for speculative or early-stage venture investments in blockchain technology may contract sharply.

Institutional investors should monitor whether the S&P 500’s valuation extremes persist through year-end earnings season, watch for any further volatility spikes comparable to the late-June sell-off, and track whether major investment banks revise their equity allocation models downward in response to valuation warnings from peers like Bank of America, any of which could signal imminent institutional deleveraging that extends across alternative assets including cryptocurrency markets.

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