Is the Fastest and Deepest Tech Stock Sell-off in History Nearing Its End?

marsbit发布于2026-07-19更新于2026-07-19

文章摘要

The article discusses whether the historically rapid and severe sell-off in tech momentum stocks is nearing its end. Citing analysis from Goldman Sachs and Morgan Stanley, it notes that the TMT momentum factor has plunged 40% from its peak in just 17 trading days, marking the fastest and deepest such decline on record. Key experts, including Goldman's Mark Wilson, attribute the crash primarily to extreme crowding, high leverage, and structural factors rather than a fundamental deterioration in the economy or corporate earnings. They point to strong underlying data, such as robust bank lending and raised guidance from companies like TSMC, which contrast sharply with the market's price action. While Wilson suggests the momentum unwinding process is likely "approaching its end," he cautions that immediate catalysts for a sharp reversal are lacking. The report highlights extreme internal market stress, with single-stock volatility far exceeding index volatility, and warns that despite the sell-off, positioning in momentum factors remains elevated. It concludes that the core market矛盾 (contradiction) lies in this disconnect between solid fundamentals and violent price corrections driven by positioning and leverage.

Source: Wall Street Insights

Tech momentum trading is experiencing its most severe unwinding in history. In just 17 trading days, the U.S. stock technology momentum factor (TMT MoMo) has plunged 40% from its peak, setting a record for the fastest and deepest drawdown on record, with contagion spreading comprehensively from semiconductors to hedge funds and credit markets.

Mark Wilson, partner and head of EMEA hedge fund business at Goldman Sachs, provided a systematic review of this "brutal rotation" this week. He noted that this sell-off is historically rare in both speed and depth, but its root cause stems more from non-fundamental factors such as crowded positioning and concentrated leverage, rather than a substantial deterioration in the economy or corporate earnings. He stated that the unwinding process for the momentum factor is "nearing its end," but lacks an immediate catalyst for reversal in the short term.

It is noteworthy that this momentum breakdown occurred against a backdrop of overall robust macro and corporate fundamentals—U.S. banks reported a 17% year-on-year increase in corporate lending, TSMC raised its 2026 revenue growth guidance to over 40%, and inflation data also came in moderately below expectations. This divergence between fundamentals and market price action is the core contradiction in the current market.

Tech Momentum Factor Suffers Historic Sell-off, Drawdown Speed and Depth Exceed Historical Median

According to data from Morgan Stanley's Quantitative and Derivatives Strategy team (MS QDS), this momentum factor drawdown has lasted 17 trading days, with a peak-to-trough decline of 28%. In comparison, the median momentum factor drawdown since 1999 has been 22%, lasting an average of 33 trading days.

This means the current decline has exceeded the historical median in both speed and depth, marking the most severe episode since the 29% drawdown from December 2022 to February 2023.

The situation is even more extreme in the tech sector. The TMT momentum factor (TMT MoMo) has fallen 40% from its peak. According to MS QDS data, this represents the fastest and deepest sell-off ever for the tech momentum factor.

Looking across various subsectors, South Korea's Kospi index is down 27% from its peak, U.S. AI tech beneficiaries are down 25%, global memory chip stocks are down 36%, and European semiconductors are down 23%. Among these, memory chip stocks account for about two-thirds of the overall decline, while the broader AI beneficiaries are down about 24% from their highs.

Low Surface Volatility Masks High Internal Intensity, Market Risk Structure is Unraveling

Price declines are only the surface manifestation of this turmoil; changes in the market's internal risk structure are equally noteworthy.

According to Goldman Sachs' volatility trading desk data, the current volatility of Goldman Sachs' High Beta Momentum portfolio (GSPRHIMO) is approximately 10 times that of the S&P 500's volatility. In the historical backtest over the past 20 years, such a stark volatility ratio has only been comparable to the situation during the pandemic shock in November 2020.

Simultaneously, the gap between single-stock volatility and index volatility has widened to historical extremes. Goldman Sachs data shows that the three-month average implied correlation among S&P 500 constituents fell to a record low of 0.14 this week, causing the S&P 500 index volatility to remain low, while the average implied volatility for single stocks is as high as 40%, 2.8 times that of the index's implied volatility, also setting a historical record.

Positions Remain Crowded, Risks Not Yet Cleared

Despite the recent historic drawdown in the momentum factor, hedge funds' net exposure to it remains high from a long-term perspective. J.P. Morgan data indicates that the combination of current positioning levels and the magnitude of the drawdown continues to make the momentum factor one of the core risks most deserving of caution in the market.

Meanwhile, the Goldman Sachs High Beta Momentum factor has fallen 33% since its June high, with its year-to-date gain plummeting from 60% to just 12%, a development also noted by Mark Wilson.

He cited signs of deleveraging in the Korean market as evidence: reports indicate that approximately one in every 30 South Korean adults had their stock margin accounts forcibly liquidated this week, showing that the deleveraging process has unfolded to a considerable extent.

Fundamentals Remain Sound, Risks Lie in Positioning and Structure

The peculiar aspect of this momentum breakdown is that it occurred against a backdrop of generally positive corporate fundamentals and macroeconomic data.

Mark Wilson pointed out that U.S. bank earnings this week presented an "unmistakably positive reading" of economic conditions: corporate lending grew 17% year-on-year, a record high, covering all economic sectors; U.S. consumer spending tracker growth is in the mid-single digits, with credit card spending up 6%; investment banking-related business lines collectively grew over 40%; large banks' tangible common equity return reached 19%, a post-financial crisis high.

On the tech capital expenditure front, TSMC raised its 2026 revenue growth guidance to over 40% (based on a revenue base exceeding $150 billion), while ASML's earnings report sparked market expectations for a 15% to 30% upward revision in its EPS over the next one to three years.

However, both companies' share prices fell following their earnings announcements, displaying a classic "sell the news" pattern. In contrast, IBM's stock price suffered its largest single-day drop in over 20 years due to large contract delays and underperformance in its consulting business.

Mark Wilson emphasized that this sell-off is "difficult to pinpoint to a clear signal at the fundamental level," reflecting more the influence of structural factors such as positioning, leverage, crowding, and concentration.

Rotation Nearing End, But Reversal Catalyst Still Awaited

Mark Wilson stated that he is inclined to believe the unwinding process for the momentum factor is nearing its end, but he also noted that there is a lack of immediate summer catalysts to drive a market reversal in the short term.

He also suggested that as efficiency and commercial viability improve, new market leadership will gradually emerge, and market breadth will expand accordingly—the Dow Jones Transportation Average breaking to new highs again this week serves as one example.

However, he also warned that the second derivative of earnings growth (i.e., the slowdown in the growth rate) will become increasingly important as the market digests Q2 earnings and enters the summer, while current valuation metrics across the board indicate that tech sector valuations remain elevated.

Furthermore, abnormal breakdowns in correlations are occurring both between traditional asset classes and within them; for example, the three-month correlation between gold and crude oil has fallen to an extreme inverse level in its 35-year history, further increasing the difficulty of risk management and portfolio construction.

相关问答

QWhat is the historical context of the current tech momentum factor sell-off in terms of speed and depth?

AAccording to the article, the current tech momentum factor (TMT MoMo) sell-off is the fastest and deepest on record, having fallen 40% from its peak in just 17 trading days. Historically, momentum factor drawdowns have a median decline of 22% over an average of 33 trading days.

QAccording to Mark Wilson of Goldman Sachs, what is the primary cause of this momentum factor sell-off?

AMark Wilson of Goldman Sachs attributes the sell-off primarily to structural factors like crowded positioning, concentrated leverage, and high congestion, rather than a deterioration in economic or corporate earnings fundamentals.

QDespite the market sell-off, what positive signals are mentioned regarding the underlying economic and corporate fundamentals?

AThe article highlights robust fundamentals: U.S. bank corporate loan growth at 17%, TSMC raising its 2026 revenue growth guidance to over 40%, and inflation data coming in softer than expected. Bank earnings also showed strong consumer spending and high returns on tangible equity.

QWhat does the data say about the current volatility and risk structure within the market during this event?

AThe volatility of Goldman Sachs's high-beta momentum basket is about 10 times that of the S&P 500, a disparity only seen during the November 2020 pandemic shock. Additionally, the correlation among S&P 500 stocks is at a record low, causing single-stock implied volatility to be 2.8 times higher than index volatility.

QWhat is Mark Wilson's outlook on the momentum factor sell-off and the potential for a market reversal?

AMark Wilson believes the momentum factor unwinding process is 'nearing its end.' However, he notes a lack of immediate catalysts for a sharp reversal in the near term (summer), and warns that valuations remain elevated and that the second derivative of earnings growth (a slowdown in growth acceleration) will become more important.

你可能也喜欢

如何让自己变得让人工智能永远也无法取代

面对人工智能的冲击,许多人担心工作被取代。然而,真正的威胁在于个人对他人和系统的依赖,以及由此产生的“薪资奴役”——即为生存而从事无意义、枯燥的工作。摆脱这种困境的关键,不是抵制技术,而是成为拥有高自主性的“不可受雇”个体。 文章提出了成功抵御AI替代的五个核心要素:自主性(主动行动的能力)、品味(判断事物价值的经验)、说服力(让他人关注你工作的能力)、毅力(坚持并从错误中学习)和迭代(根据反馈持续改进)。这些能力无法仅通过理论学习获得,必须通过实践来培养。 要启动转变,首先要彻底改变环境,重塑身份认同。其次,应选择一个能获得真实、快速反馈的实践领域,例如创业。在众多技能中,内容创作(媒体)比编写代码更具优势,因为其价值是主观的,需要独特的审美和判断力,这正是AI目前难以完全复制的。 具体行动上,可以从三个步骤开始: 1. **挖掘原始素材**:反思自己长期痴迷的知识领域、轻松解决的难题或童年被压抑的兴趣,找到独特的个人经验。 2. **确立反向思考主轴**:找出你坚信但主流观点错误的地方,或行业内普遍忽视的“皇帝新衣”,形成独特的批判性视角。 3. **立即发布**:将前两步的思考融合,撰写并发布第一个核心内容(如帖子、视频),勇敢接受真实世界的反馈,并在此基础上持续学习和迭代。 最终,抵御AI的关键在于构建一份与自身身份深度契合的毕生事业,通过持续的内容创作和真实互动,建立无法被自动化取代的独特价值和影响力。行动,从今天发布第一个想法开始。

marsbit4小时前

如何让自己变得让人工智能永远也无法取代

marsbit4小时前

通过掷骰子离线保管比特币密钥:并非人人愿意为之

文章探讨了通过投掷骰子生成比特币钱包种子短语的安全方法及其现实挑战。核心观点如下: **1. 骰子提供物理熵源** 骰子结果由众多微小变量决定,理论上虽可预测,但实践中无法被攻击者复制或计算,从而提供高质量的随机性。每个六面骰子投掷约产生2.585比特熵,50次投掷即可满足典型12词助记词(128比特熵)的安全需求。 **2. Coldcard漏洞事件凸显手工熵源的价值** 近期Coldcard硬件钱包因固件漏洞导致其内部随机数生成器存在缺陷,致使约1128枚比特币被盗。但那些**完全**通过足量骰子投掷生成种子短语的用户未受此漏洞影响,因为他们的主密钥未使用有缺陷的生成器。 **3. 重要警示:手工种子并非万能保护** 安全研究员指出,即使用户使用骰子生成了安全的种子,若他们使用了Coldcard的其他功能(如生成纸钱包、克隆密钥、共享签名密钥、密码等),这些**衍生密钥**仍可能调用有漏洞的随机数生成器,从而存在风险。安全种子不保证设备生成的所有秘密都安全。 **4. 手工生成熵源的现实局限性** 尽管数学上可靠,但该方法对大多数用户并不友好: * **过程繁琐易错**:需投掷50-99次,精确记录,任何输入错误都会导致钱包完全不同。 * **引入新风险**:用户可能在记录、转换过程中泄露信息,或使用有偏的骰子/投掷方式。 * **用户体验差**:难以想象大规模推广需要用户手动投掷近百次骰子。安全措施需适应现实生活场景和普通用户的知识水平。 **5. 给用户的建议** 受影响的Coldcard用户应: * 更新固件至最新版。 * 检查是否使用过有漏洞的功能生成了次级密钥或密码,如有则需立即更换。 * 考虑采用多签方案,使用不同厂商的设备分散风险。 **结论**:手工投掷骰子生成熵源是技术娴熟用户的一个有效安全选项,但其过程复杂、容易出错,不适合作为主流用户的默认方法。长远目标是依赖安全、透明且无需专业知识的硬件/软件随机数生成方案。

cryptonews.ru8小时前

通过掷骰子离线保管比特币密钥:并非人人愿意为之

cryptonews.ru8小时前

交易

现货
活动图片