Tech Stocks in the Midst of Deleveraging: Rather Than Rushing to Buy the Dip, Wait for the Macro Environment to Stabilize First

marsbitОпубликовано 2026-06-08Обновлено 2026-06-08

Введение

"Technology Stocks in Deleveraging Phase: Wait for Macro Stability Before Buying the Dip" The current sell-off in tech/AI stocks is primarily driven by macro headwinds, not a breakdown in AI fundamentals. After a parabolic rise, the market faced a perfect storm: an overcrowded trade, a massive SpaceX IPO draining liquidity, pre-CPI/PPI/FOMC hedging, and strong jobs data renewing "higher-for-longer" rate fears. This triggered a concentrated deleveraging in hot tech names. Key historical context: Unlike the December 2023 sell-off focused on AI capex returns, the current correction centers on the "denominator" – rising concerns over rates, inflation, the Fed, geopolitics, and liquidity. Leading memory stocks like Micron have seen ~20% pullbacks, significant but not yet at panic levels seen in March. The intense selling wave may be largely over, but a quick V-shaped recovery is unlikely. The market will likely churn in high volatility, awaiting clarity. The immediate catalyst needed for a sustainable reversal is a "stop-bleeding" signal from macro conditions. This doesn't require a major positive shock (like the April Iran ceasefire), but simply a halt to further deterioration: CPI not surprising hotter, Treasury yields stabilizing, the Fed not turning more hawkish, and post-SpaceX IPO liquidity easing. Once macro pressure plateaus, the intact AI investment thesis – centered on persistent compute/memory shortages and accelerating commercialization – can quickly regain market ...

Author: qinbafrank

Having endured an anxious weekend, how should we view the market this week? Last Friday evening, there was a detailed analysis of several changing factors in the U.S. stock market's performance in the latter half of last week, with the earliest risk alert coming from a space-related hint on Wednesday night. (Related reading: U.S. Stock Pullback Warning: What Are the Real Risks in AI? A Look at New Capital Flows in Software Stocks, Optical Interconnects, SpaceX, and Bitcoin)

The Core Logic of This Correction:

AI/semiconductors saw excessive short-term gains, market FOMO was too strong, trading structures were overly crowded—parabolic rises themselves are unsustainable. This was then met with a massive SpaceX IPO roadshow and subscription cash drain, natural risk aversion ahead of CPI/PPI/FOMC, and strong employment data reinforcing concerns about "higher rates for longer or even renewed hikes," ultimately triggering concentrated deleveraging in popular tech stocks. Of course, this is also revisiting old themes; the key is how to view the subsequent developments.

1. First, a review of several adjustments over the past six months or so

There was a similar tech stock plunge last December. It was triggered by Oracle raising concerns about AI ROI and capital expenditure, followed by another sell-off after Broadcom's earnings, until Micron's strong earnings and relatively mild inflation data pulled sentiment back. The common point between the two episodes is interest rate expectation disturbances; the difference is: late last year/early this year, the market was more worried about the numerator side—AI capex returns. This time, a consensus that "the AI logic has broken" hasn't formed yet; the market is more concerned about the denominator side—interest rates, inflation, the Fed, geopolitics, and liquidity.

The memory sector is one of the strongest themes in this round of AI trading, with the largest gains, highest visibility, and strongest earnings leverage, making it the most likely target for concentrated profit-taking when crowded trades unwind. Taking Micron as an example, this round fell from the June 3 high of 1089.29 to Friday's close of 864.01, a closing decline of about 20.7%; if calculated based on the intraday low of 850.18, the maximum decline was about 22.0%. This already exceeds the roughly 20% decline in mid-May but hasn't reached the more extreme panic levels seen during the March war period.

KORU, as a 3x leveraged ETF for the Korean market, can roughly indicate risk appetite for Korean tech/memory trading but shouldn't be directly equated with the Korean index itself. KORU fell from its June 1 high of 1279.70 to its June 5 close of 610.01, a decline of about 52.3%; based on the intraday low of 599, the decline was about 53.2%.

In terms of magnitude, this round has already surpassed the mid-May correction;

In terms of duration, this round has seen four consecutive days of adjustment, also approaching the past short-term main decline windows.

Therefore, a relatively reasonable judgment is: Against the backdrop where the AI fundamentals have not been disproven, the short-term main decline wave may have completed a significant portion, and the probability of consecutive sharp declines going forward has diminished.

So this week may not necessarily see continued plunges, but the probability of a direct V-shaped recovery is not high; it's more likely to be range-bound consolidation or a slow, low-volume decline. However, as long as U.S. Treasury yields don't retreat and CPI/FOMC haven't landed, the market will likely remain highly volatile, leaning defensive, waiting for confirmation and improvement in timing.

2. Next, look at several major events from the weekend to today

1) There are still frictions between Israel and Lebanon, with Iranian missiles and drones beginning to strike Israel. Trump is simultaneously pressuring Netanyahu not to retaliate while continuing to safeguard the U.S.-Iran agreement line. This line will disturb oil prices and also remind the market of inflationary pressures.

However, there are no signs yet of re-escalation to full-scale失控.

Looking at Trump's interview last night, he is极力 ensuring the U.S.-Iran war does not escalate.

2) Nvidia and SK are expected to announce a cooperation plan on Monday. Jensen Huang's tone was direct: shortages in memory, wafers, advanced packaging, silicon photonics, and these bottlenecks could last for years. This statement ties back several previously炒作 themes.

In the current market state, this will provide some support to the market but is unlikely to immediately lead to a reversal. Today, observe the market盘面: after opening lower, can core stocks stabilize? Will companies with orders, customers, and strong industry positions be the first to be bought back by funds?

If core companies stabilize while speculative stocks remain chaotic, that's divergence.

If core companies can't hold support either, the sustainability of such rebounds will be poor.

3. Wait for the macro to give the first signal

The big rally over the past two months since early April saw its大涨契机 first from the macro ceasefire in the Iran situation, then from the compute shortage, followed by accelerated AI commercialization. These three themes unfolded sequentially from early to mid-April, driving a major wave.

April was: "Macro risks解除 → AI industry logic重新被放大";

Now is: "AI industry logic isn't broken → but macro denominator side is suppressing valuations → so from a personal perspective, also need to wait for macro止血 first".

Therefore, to achieve a true reversal now, it will likely first require a "止血 signal" from the macro层面. It doesn't necessarily have to be a macro positive as significant as the "Iran ceasefire" in early April; more realistically, the market needs to see the denominator side stop deteriorating further.

Why does the macro need to give a signal first this time?

Because the main矛盾 of this decline is not "the AI logic has broken," but rather interest rates, inflation, the依稀会议, geopolitics, the巨无霸IPO cash drain, and excessive market狂热拥挤度 collectively冲击 valuations, leading to deleveraging.

In other words, the market is not asking: "Is there still demand for AI?"

It is asking:

"If interest rates continue to rise, can AI stocks still支撑 such high valuations?"

So this time, the priority for a reversal is not to look at the industry story first, but to see if the macro pressure has stopped rising.

The sequence will likely be similar: First, the macro层面 must止血—at the very least, CPI cannot be explosive, U.S. Treasury yields cannot continue to surge, SpaceX's IPO aftermath needs to release some资金 liquidity, and the FOMC cannot further放鹰. Only after the denominator pressure eases will the market return to the AI分子端,重新交易 the compute shortage, memory price hikes, AI capex, and commercialization acceleration.

For a reversal now, first watch for macro signals; but it doesn't require a full macro turnaround, just that the macro stops worsening. Once the macro止血, the AI industry logic will quickly reconnect. This is also what was discussed last Friday night—it's difficult to completely reverse in the short term, requiring patience to wait.

Связанные с этим вопросы

QWhat is the core reason for the current sell-off in tech/AI stocks according to the article?

AThe core reason is a combination of factors: stocks were overextended after a parabolic rise, leading to crowded trades and FOMO; then, the SpaceX IPO roadshow drained liquidity, pre-CPI/PPI/FOMC避险 (risk aversion), and strong jobs data fueled fears of 'higher for longer' rates or even renewed hikes. This triggered a concentrated de-leveraging in popular tech stocks.

QHow does the article characterize the difference between the market's concern in late 2023/early 2024 and the concern now?

AIn late 2023/early 2024, the market was more worried about the 'numerator' – the return on AI capital expenditure (capex). Currently, the worry is primarily about the 'denominator' – factors like interest rates, inflation, the Fed, geopolitics, and liquidity that pressure valuations.

QWhat is the article's near-term outlook for the market after the sharp decline?

AThe article suggests the sharpest part of the decline may be over, making continuous暴跌 (plunge) less likely. However, a direct V-shaped recovery is also improbable. The more likely scenario is sideways consolidation or a slow, low-volume decline with high volatility, remaining defensive until macroeconomic conditions stabilize.

QWhat does the article suggest is the prerequisite for a sustainable market reversal?

AA sustainable reversal requires a '止血信号' (stop-bleeding signal) from the macroeconomic side. The priority is for macro pressure to stop increasing—CPI not being disastrous, Treasury yields not continuing to surge, liquidity pressure from the SpaceX IPO easing, and the FOMC not turning more hawkish. Only after this denominator-side pressure eases will the market refocus on AI's fundamental growth story.

QAccording to the article's analogy, what sequence of events drove the rally starting in April, and what is the inverse sequence needed now?

AThe April rally sequence was: 'Macro risk removal (Iran ceasefire) → AI industry logic重新被放大 (re-amplified).' The needed sequence now is the inverse: 'AI industry logic remains intact → but macro denominator端 (side) suppresses valuations → therefore, one must first wait for macro止血 (to stop bleeding).' This means waiting for macro conditions to stabilize before the AI growth narrative can lead the market again.

Похожее

Trade.xyz's Rebase Refusal Sparks Controversy, On-Chain Pre-IPO Market Faces Major Pricing Test

The debate surrounding Trade.xyz's refusal to adjust its SPCX (SpaceX pre-IPO) perpetual contract pricing amid updated share count revelations highlights a key challenge for on-chain pre-IPO markets. While several centralized exchanges (CEXs) paused and repriced their contracts after SpaceX's filing showed a ~10% increase in total shares, Trade.xyz maintained its market-driven pricing logic, which tracks expected per-share price sentiment rather than fundamental valuation metrics like market cap. This discrepancy triggered cross-platform arbitrage and caused leveraged long positions on Trade.xyz to suffer significant losses, as the platform's HIP-3 architecture lacks a native "Rebase" mechanism to neutrally adjust all user positions following such corporate actions. The incident underscores the difficulty for decentralized perpetual exchanges (Perp DEXs) to implement Rebase—a process CEXs handle by centrally pausing markets and adjusting ledger data. On-chain, this requires complex smart contract modifications, increasing gas costs, complexity, and potential attack surfaces. While some DEXs have managed similar adjustments, Trade.xyz's current design does not natively support it, though the team is reportedly exploring solutions for future events like stock splits. Ultimately, the controversy serves as a critical case study for the nascent on-chain pre-IPO sector, raising questions about price discovery reliability, transparent rule disclosure, and the readiness of DeFi infrastructures to handle traditional corporate actions as real-world assets (RWAs) gain traction.

marsbit4 мин. назад

Trade.xyz's Rebase Refusal Sparks Controversy, On-Chain Pre-IPO Market Faces Major Pricing Test

marsbit4 мин. назад

The 'Middle Eastern Prince' Swindles a Wealthy Woman: Renting Planes and Rolls-Royces, Scamming 120 Million Over Three Years

Two brothers who posed as "Middle Eastern princes" have been sentenced in the United States to 24 and 23 years in prison, respectively, and ordered to pay over $21.2 million in restitution and back taxes. Over three years, they fraudulently obtained approximately $21 million, primarily by promoting fictitious investment projects, including a non-existent cryptocurrency mining operation in a former General Electric industrial park in East Cleveland. The brothers, aged 42 and 33, created elaborate personas: one claimed to be a wealthy royal family heir and the city's "International Economic Advisor," while the other posed as a hedge fund manager with expertise from watching the TV show *Billions*. They bolstered their image by renting luxury cars and private jets and cultivating a relationship with a local mayor's chief of staff, who provided official-looking documents and government event access. A significant portion of the victims' funds, about $18 million, came from a single Chinese investor, a woman from Sichuan with experience in Bitcoin mining. The brothers also defrauded several women, including one former girlfriend. Their scheme unraveled when the primary investor discovered her $6 million worth of mining equipment had been sold off. The case highlights a trend of impostors using fabricated "Middle Eastern royal" identities to target wealthy individuals. Similar incidents include a "Dubai prince" who recently promoted a $500 million family office in Hong Kong and a Colombian man who impersonated a Saudi prince for decades in the US before being caught and sentenced in 2019.

marsbit19 мин. назад

The 'Middle Eastern Prince' Swindles a Wealthy Woman: Renting Planes and Rolls-Royces, Scamming 120 Million Over Three Years

marsbit19 мин. назад

a16z Partner: Being in the Flow of Capital Is the True Moat

A16z Partner: Standing in the Cash Flow is the True Moat Historically, many of the strongest companies built their moats by positioning themselves within "cash flows"—facilitating value creation and transfer in a network and taking a cut. The more value flows, the larger they grow. Crypto is the first modern technology natively built for this. With open ledgers, programmable settlement, and stablecoins enabling internet-speed global value transfer, it allows startups to inherit network effects from day one. Well-designed tokens align users, developers, and the protocol towards network growth, distributing value to contributors. This model isn't new (e.g., railroads, Visa, Google, AWS) but Crypto democratizes it. It lets entrepreneurs target areas with high inefficiency and profit extraction—like traditional finance's payments, custody, FX, and settlement—to compress costs, increase speed, and redistribute value by standing in the new flow. The opportunity extends beyond finance to emerging markets like GPU/compute, AI training data, energy, and space, where new, programmable infrastructure can be built without legacy constraints. Key questions for founders: Are you already in the cash flow? Does your revenue scale 10x with network activity? Where is profit extraction highest relative to value created in your market? The strategy is clear: compress the old cost structure, position yourself in the new value stream, and let the network compound.

marsbit46 мин. назад

a16z Partner: Being in the Flow of Capital Is the True Moat

marsbit46 мин. назад

Capturing 15 Top-Tier Zero-Day Vulnerabilities: A Consensus Protocol Debug Agent Framework Built by 0G Lab in Collaboration with Teams from NUS, PKU, and BUPT

"Agents Capture 15 Critical Zero-Day Bugs: 0G Lab's Multi-Agent Framework Automates Debugging in Consensus Protocols" Distributed consensus protocols are notoriously difficult to debug due to complex, intertwined states. A novel framework, Agora, developed by 0G Labs with researchers from NUS, Peking University, and Beijing University of Posts and Telecommunications, tackles this by fusing deep domain expertise with a collaborative multi-agent LLM architecture. Agora moves beyond the limitations of single LLMs and traditional testing like fuzzing. It employs three specialized agents: an Orchestrator for global state, a Strategy agent for generating attack scenarios using distributed systems knowledge, and a TestGen agent that creates executable tests. A core innovation is its efficient "Succinct Memory & Communication" mechanism and a dynamic test harness. This allows the system to translate abstract hypotheses into concrete tests across languages like Go and Rust, run them, capture failures, and refine the approach in a closed loop—all with minimal token overhead. In rigorous evaluations on production-level protocols including Raft, EPaxos, and components from etcd and Sui, Agora discovered 15 previously unknown deep logic bugs (e.g., execution divergence, liveness violations). In stark contrast, powerful standalone LLMs like GPT-5.2 and Claude 4.5 found zero such bugs. Agora achieved this with a high precision of 73.9% and at an average cost of only about $40 per bug found. The framework demonstrates high generalizability. Its decoupled design allows the "Multi-Agent + Hypothesis-Driven Testing" paradigm to be applied to other complex domains like database concurrency control, OS kernels, and Web3 smart contract auditing. By enabling efficient, automated detection of deep logic flaws, Agora points the way for AI-powered security in critical infrastructure, aligning with the growing trends of agentic systems and automated quality control.

marsbit50 мин. назад

Capturing 15 Top-Tier Zero-Day Vulnerabilities: A Consensus Protocol Debug Agent Framework Built by 0G Lab in Collaboration with Teams from NUS, PKU, and BUPT

marsbit50 мин. назад

a16z crypto Partner: Cash Flow Is the True Moat

Title: a16z Crypto Partner: Capital Flow is the True Moat In business history, enduringly successful enterprises often share a core logic: capturing value by facilitating its creation and transfer within an ecosystem, taking a share of the proceeds. The scale of value flowing through the ecosystem directly correlates with the company's growth. Cryptography is the first modern technology natively suited to this commercial logic. Startups that don't leverage this framework in product design and business model construction miss significant opportunities. Stablecoins enable internet-speed, 24/7 global settlement of value with end-to-end programmability. With open underlying channels for capital flow and transparent unit economics, every circulating dollar globally represents potential flow in this arena. Blockchain is inherently a network business model. All transactions are recorded on a shared ledger, and each new participant strengthens this foundational system for future developers. More users and applications increase the network's value for all. Crypto entrepreneurs start with built-in network effects, unlike traditional businesses that spend years building them on legacy infrastructure. Network tokens amplify this advantage. A well-designed token system aligns users, developers, service providers, and validators around a common goal—network growth—while distributing rewards based on contribution. All proceeds flow back to ecosystem participants, creating a virtuous cycle of value circulation. This is not a new logic; the crypto industry simply makes it easier for startups to implement and scale. Historic giants like railroads, Standard Oil, AT&T, and modern leaders like Google and AWS succeeded by positioning themselves at critical junctures of value flow. In finance, Visa processed $15.7 trillion in payments (net revenue: $35.9B), and top market makers like Jane Street thrive by being in the path of order flow, benefiting from volume. Combining capital flow with network effects creates one of business's most robust models. As Jeff Bezos noted, "Your margin is my opportunity." This is acutely true in traditional finance, where sectors like payments, custody, and settlements extract significant fees (e.g., 2-3% for card networks, 6-9% for cross-border transfers). These profits represent opportunities for disruption by reducing costs and increasing efficiency, as proven by Stripe and Square in payments. Crypto founders can build the next-generation infrastructure: programmable, instant, global, and inherently embedded in capital flow paths. Opportunities extend beyond finance to markets like compute/GPU trading, AI training data, energy, robotics, and critical minerals—areas poised for massive global value movement that existing channels cannot handle. These are blue oceans for new, programmable infrastructure centered on capital flow, free from entrenched platforms and intermediaries. Founders should ask: Is your business at the heart of a value flow? Does your revenue scale 10x with ecosystem transaction growth? Where are the highest margins relative to value created in your target market? The answers point to the opportunity: cut existing costs, enter new value flow arenas, and grow through network effects.

Foresight News51 мин. назад

a16z crypto Partner: Cash Flow Is the True Moat

Foresight News51 мин. назад

Торговля

Спот
Фьючерсы
活动图片