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Don’t let the numbers mislead you; those figures don’t point to a market collapse, but rather to an entirely different structural mechanism.



The real story lies within a historic wave of selling—triggered in the artificial intelligence and semiconductor sectors following the U.S. midterm elections—that rippled across the Pacific all the way to Seoul. What unfolded on Thursday, November 5, 2026, was more than just a correction; it was a watershed moment—a stress test for the AI trade, challenging both its valuations and the underlying policy landscape.

Just how severe was the sell-off on Wall Street?

The wave of selling that hit U.S. markets on Thursday marked the sharpest decline in recent years. The Nasdaq tumbled 5.52% to 24,315 points, falling 11.9% from its early-October peak and officially entering correction territory. The S&P 500 dropped 4.36%, while the Dow Jones slid 3.44%, shedding 1,833 points.

The devastation was most acute in the semiconductor sector. The semiconductor index plummeted 12.25% in a single day—its worst performance since March 2020. The stocks on your screen tell the story: Nvidia fell 9.33%, AMD 17.64%, Micron 17.23%, and SanDisk 22.24%, with various Asian ADRs also posting losses exceeding 10%. In total, approximately $2 trillion in market capitalization evaporated in just one day.

What was the hidden cause behind the sell-off?

There isn’t a single reason, but the midterm elections served as the primary catalyst. The Democrats gaining the upper hand in Congress has raised questions among investors as to whether regulations concerning the construction of data centers might become more stringent.

The market has begun to price in the possibility that the development of data centers—the backbone of the artificial intelligence revolution—could slow down due to new energy and environmental regulations. Signals from newly elected officials in states like Texas, Georgia, and Ohio, suggesting potential restrictions on data centers, have further fueled these concerns. According to one analysis, approximately 30% of the projected data center capacity in the United States through 2028 is now at risk due to potential construction delays.

Compounding this, a chip manufacturer’s announcement of a 26% decline in sales for its mobile phone chips has led the market to wonder: is spending on artificial intelligence beginning to cool off?

How did the shockwave from across the Pacific hit Seoul?

The turmoil on Wall Street spread to South Korea the moment its markets opened. The KOSPI index plummeted by more than 8%, falling below the 5,000-point mark and triggering a circuit breaker just three minutes into the trading session.

Korean corporate giants were at the heart of this collapse: SK Hynix shares fell by as much as 11.71% to 1,116,000 won—a sharp reversal, considering the company had reported record-breaking quarterly sales just a week earlier. Samsung Electronics shares dropped 9.98% to 181,400 won. A similar trend emerged in Japan, where Tokyo Electron, SoftBank, and Advantest saw their values decline by 2.58%, 8.59%, and 5.07%, respectively. Because the stock markets in South Korea and Japan are heavily weighted toward the semiconductor sector, they tend to amplify any technology-related shock originating in the United States. What is the secret behind the "-38" figures on the screen?

The extreme figures—such as -38.65% and +38.64%—seen in the leveraged products in the image do not represent a market collapse; rather, they are the result of reverse splits and the structural nature of leveraged ETFs.

For a product designed to deliver triple the daily performance of an index, a 12% decline in the semiconductor index would mathematically result in a drop of approximately 36%. The 38% decline shown on the screen also reflects a price adjustment following a reverse split. Conversely, a product designed to move inversely to the index (betting on a decline) will rise as the index falls. However, because such funds tend to lose value consistently over the long term, they frequently undergo reverse splits. The +38% increase seen on the screen is actually a byproduct of the consolidation process intended to offset the fund's historical loss in value.

In short, these figures are "structural noise" inherent to the nature of leveraged ETFs; they do not reflect the actual performance of the underlying stocks.

Is this a buying opportunity or a new regime?

The market is currently caught between two opposing scenarios. On one side are those who argue that this is merely a temporary correction—a liquidation of overheated positions in the artificial intelligence sector. On the other side are those who believe that AI valuations remain detached from reality and that this is, therefore, not a buying opportunity.

One thing is certain: the market is no longer driven by the same narrative. The triad of valuation, policy, and liquidity is being recalibrated. It would not be surprising to see further macro shocks of this nature until regulations regarding data centers in the United States are clarified. What you should monitor is the distinction between technical price adjustments in leveraged products and the primary market trend; the extent to which the declines in Seoul and Tokyo are driven by regulatory uncertainty in the United States; and whether semiconductor companies—despite these policy-related headwinds—are managing to maintain their order backlogs.

This content is for informational purposes only and does not constitute investment advice.

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The shift from green to red numbers on stock market screens is not the real news; the true story lies in the fundamental mental shift behind that red.

What unfolded in the U.S. markets on Thursday was not merely an ordinary sell-off, but a profound rupture in how the "artificial intelligence trade" is valued and how its risks are perceived. As the Nasdaq closed the day down 5.5%, the semiconductor index suffered its worst performance since 2020, plunging as much as 12% in a single session. Nvidia fell 9%, AMD and Micron dropped 17% each, and Qualcomm slid 12%—altogether, approximately $2.5 trillion in market capitalization evaporated.

What lies on the surface of this sell-off?

The spark was ignited by concerns regarding potential regulations on data centers and AI infrastructure following the election results. Investors began to price in the possibility that the construction of data centers—the backbone of the AI economy—might slow down. According to an analysis by one firm, roughly 30% of the projected data center capacity in the U.S. through 2028 is now at risk due to construction delays. A disappointing earnings outlook from a major chipmaker proved to be the final straw.

However, the core shift is that the AI narrative has evolved from a simple "growth story" into a rigorous test of profitability and financing. Valuations that ballooned during years of low interest rates can no longer be sustained by the same narrative in an environment of high interest rates and tighter financial conditions. The deleveraging process that funds have been undergoing for months was already a clear sign that this mental shift was well underway.

Why couldn't crypto escape this sell-off? The crypto market was not immune to this sell-off. On Thursday morning, Bitcoin was trading above $80,000, only to fall below $76,000 within hours, while Ethereum lost more than 8% of its value. The total crypto market capitalization shrank by approximately $137 billion.

The underlying cause is not merely a deterioration in general risk appetite, but also the tangible link crypto has forged with artificial intelligence infrastructure. Major Bitcoin miners are selling off their holdings to finance AI data centers; consequently, any instability in the data center narrative directly impacts Bitcoin supply and the economics of mining. Leveraged positions turned the decline into a wave of panic selling—roughly $370 million worth of leveraged crypto positions were liquidated in just one hour, the vast majority of which were bullish bets.

Is this a correction, or a new regime?

The market is currently pricing in two distinct scenarios. On one hand, some argue that this is merely a temporary correction—a liquidation of overheated AI-related positions. On the other, some believe that AI valuations remain detached from reality and that this does not represent a buying opportunity.

What matters is not so much which side is correct, but rather recognizing that the market is no longer driven by the same narrative. The triad of valuation, policy, and liquidity is being recalibrated.

The "AI trade" was fueled for years by low interest rates and abundant liquidity; now, high interest rates, tighter financial conditions, and regulatory uncertainty have entered the equation. The fact that 30% of data center capacity is at risk is not merely a construction issue; it is a matter that affects the timing of the entire supply chain.

On the crypto front, the liquidation of assets by miners and the unwinding of leveraged positions illustrate how macro shocks can trigger a chain reaction. In other words, a reassessment of valuations in the artificial intelligence sector can directly impact the supply of Bitcoin.

There is no single answer to whether this wave of selling marks the beginning of the end for the AI trade, or if it is simply a sharp "breather" within a long-term bull market.

What you should monitor is whether valuations are being validated by profitability, how the regulatory framework regarding data center permits takes shape, and whether spot demand emerges once leveraged positions have been cleared out. In the face of macro shocks, the narrative shifts rapidly, but it takes time for the true direction of capital flows to become clear.

This content is for informational purposes only and does not constitute investment advice.

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Comment 11
PrinceMagsi786
Can BTC hold $80K? 👀
PrinceMagsi786
Interesting angle 💡
StableFisher
My stables just sitting there earning 4% while this happens
onrvrl
Interesting angle 💡
MinerOffspring
22% on SanDisk though
ChainMemeFisher
Smart contract audit budgets next to get cut
NewChainPioneer
AI infra stress test day one
GaugeJockey
Curve bribes dry up when risk-off hits this fast, gauge yields compressing
GasAnalyst
Gas costs for panic unstaking probably spiked harder than the index
RSIContrarian
RSI on SOX was 78 Tuesday, mean reversion finally showing up
YamahaBlue
Earnings season getting spicy 📊