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

marsbitОпубліковано о 2026-06-08Востаннє оновлено о 2026-06-08

Анотація

"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.

Пов'язані питання

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.

Пов'язані матеріали

Bitcoin Mining Farms Are Becoming AI Factories

Bitcoin mines are transforming into AI factories. This shift is driven by the convergence of three key assets from the previous crypto cycle: infrastructure, talent, and capital. Crypto mining companies like Crusoe, CoreWeave, and Bitdeer are repurposing their core competency—securing power, land, and grid connections in remote locations—to build data centers for AI clients. These firms are signing multi-billion dollar, long-term contracts with companies like Anthropic, AWS, and Microsoft, as AI's demand for reliable, high-capacity compute surpasses the profitability of Bitcoin mining. Simultaneously, crypto entrepreneurs and engineers are applying their skills to new AI ventures. Examples include OpenSea's co-founder launching OpenRouter (an AI model aggregator), and former Coinbase engineers building Fal.ai (a generative media infrastructure platform). Their experience in building scalable, global software networks translates effectively to the AI space. Furthermore, capital accumulated during the crypto boom is now fueling AI. Figures like Jed McCaleb (co-founder of Ripple) funded Voltage Park, a large-scale GPU cloud provider. Notably, some crypto investments, like FTX's early bets on Anthropic and Cursor, have generated astronomical paper returns, demonstrating how high-risk crypto capital flowed into AI before it became mainstream. The transition is not just about repurposing hardware, but about redirecting critical resources—power infrastructure, distributed systems expertise, and venture funding—to the next technological frontier: artificial intelligence.

链捕手1 год тому

Bitcoin Mining Farms Are Becoming AI Factories

链捕手1 год тому

Morpho Launches Fixed-Rate Product Midnight: Lenders and Borrowers Set Their Own Rates, Ending the Era of Interest Rate Models

Morpho Launches Fixed-Rate Product Midnight: Lenders and Borrowers Set Their Own Rates, Ending the Era of Algorithmic Interest Models On-chain lending has grown to $60 billion but remains minuscule compared to traditional finance's $200 trillion annual credit volume. Morpho identifies the lack of fixed rates and maturity dates as key bottlenecks. Institutions need predictability, not the passive floating rates set by algorithmic models. Midnight allows lenders and borrowers to directly quote rates, set terms, and become price makers, not takers. Fixed-rate lending is now viable due to cheaper, faster blockchains and the entry of institutions demanding control and certainty over returns, costs, and duration. Morpho Blue previously gave users control over risk; Midnight adds control over interest rates. Past attempts at on-chain fixed-rate lending failed primarily because they were built on top of floating-rate pools (creating unpredictability) or lacked sufficient active participants. Midnight avoids these pitfalls as a standalone primitive with fixed rates at its core, built upon Morpho Blue's existing large and active user base. Midnight offers distinct value: institutions gain predictable term structures and full control; fintech companies can offer tailored fixed-rate products; lenders/borrowers achieve predictability and efficiency; and curators can now differentiate by configuring both risk and interest rates. Morpho Midnight is not a replacement for Morpho Blue. The Morpho network will now feature two complementary market structures: floating-rate/open-term (Blue) for flexibility and fixed-rate/fixed-term (Midnight) for predictability. Liquidity can flow between them. The launch will be gradual, prioritizing security. Initially, it will support direct lending on Base network with one trading pair (cbBTC/USDC) and limited maturity dates. Advanced features like auto-rollovers will be introduced later.

marsbit1 год тому

Morpho Launches Fixed-Rate Product Midnight: Lenders and Borrowers Set Their Own Rates, Ending the Era of Interest Rate Models

marsbit1 год тому

Торгівля

Спот
活动图片