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#AsiaPacificStocksPlunge 🔬

Is the sea of red in Asia merely profit-taking?

Those fixated on the massive red percentages flashing across their screens during the historic collapse of Asian markets are missing the true paradox: the very companies that ignited the artificial intelligence revolution are now buckling under the political uncertainty of the future they themselves created.

The wave of selling triggered in global markets following the U.S. midterm elections has swept across the Pacific, striking the heart of Asia’s technology sector with the force of a bombshell. In South Korea, th
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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.

$MU $AMD $SNDK $TSLA $INTC
#USStocksFaceHistoricSelloff
#GateSquareTradingChallenge #Gate股票畅聊季 #GateStockTalkSeason #ShareWeekly
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📢 Reposted signal card | Source: Jotham Numb
$BCH Long trade incoming: Entry 261.49 / Stop-loss 253.8 / Target 322.94 Time: Not specified in the original post
By the way, I reposted this person's $ETHFI trade earlier today, and now they're back again. They're so diligent, even I feel outdone.😂
As always, I just repost the signals. Whether to follow and how much to put in is up to you to decide. The market can go crazy, but risk management mustn't.
Personal notes shared for reference only; this is not investment advice. #Must-read for beginners: Everything you need is here.
BCH+1.05%
ETHFI+1.48%
Eshu Live_Over all crypto market updates
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LIVE2,593
Captain Caffeine will save humanity with @elonmusk ☕️🚀☕️
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Hot wallet or cold wallet? What really matters is not choosing one over the other, but how you manage risk.

When many people discuss digital asset security, the first thing they think of is transferring assets to a cold wallet.

But that does not mean a cold wallet can solve every security problem, or that a hot wallet is necessarily unsafe.

Hot wallets are usually connected to the internet and convenient to use, making them suitable for everyday interactions and small transactions; cold wallets minimize contact between private keys and online environments, making them better suited for hold
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The better the backtest returns look, the more you should ask: do these results hold up in real markets?

A trading strategy has a high historical return, a decent win rate, and a maximum drawdown within an acceptable range.

You might think the only thing left is to deploy it in live trading.

But why do some strategies perform noticeably worse as soon as they enter real markets?

The problem may not be that the strategy is completely ineffective, but that the conditions it relies on in backtesting do not match those of real trading.

A backtest shows that under specific data, assumptions, an
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This price action is putting me to sleep. Better stay flat. 😴
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What Is Fibonacci Retracement? Why Do Traders Pay Attention to the 38.2%, 50%, and 61.8% Price Retracement Levels?

In crypto trading, prices often pull back after rising and may rebound after falling. Fibonacci retracement is a common technical analysis tool that traders use to identify potential support and resistance zones based on specific ratios. However, these ratios do not mark places where prices must reverse, nor do they guarantee profitable trades.

First, what is Fibonacci retracement?

It calculates different retracement levels between the start and end points of a significant pric
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I’m dying laughing—Teacher Cang has jumped on board $BTC
too. I’m calling this an overwhelmingly bullish signal. Disagree? Come argue!
I sincerely urge Teacher Cang to stay away from crypto contracts, or she may have to go back to her old line of work 🤐
Risk warning: The above is solely my personal opinion and does not constitute investment advice. The crypto market is highly volatile; please exercise caution when investing.
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BTC-0.67%
#AKE
Going with the trend and longing AKE feels amazing! Wrapped it up in 36 seconds! I got so excited that I accidentally hit one-click close-all and sold all my BTC at a floating loss! 🤣
$AKE
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AKE+6.39%
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$AKE It’s best to stay away from anything that can rise 10x and fall 50x; if you’re treating it as gambling, you can give it a try
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If sol can get back to these levels again I’m gonna throw so many people sol
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Those waiting for a breakout often have to take a sucker punch first. I’m also hoping gold makes a run for it, and I wouldn’t rule out a test of the previous high. But based on the price action, it’s more likely to flush lower first and shake out those chasing the breakout or waiting for confirmation. The reason is simple: large sell orders tend to pile up near previous highs. The order book may make it look like price is “just one push away,” but there could actually be dense selling pressure in the $2–$3 range above. A breakout can trigger a few sharp upward candles, drawing in retail trader
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$SOXL It’s already fucking dropped to 38 at the lowest—what the fuck are you still afraid of? Buy the dip, go for it! The less guts you have, the less money you’ll make!
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$DRAM SHORT SETUP — BEARS STILL IN CONTROL!

$DRAM is down 8.61%, and sellers continue to dominate despite a small recovery from 36.72. Another downside move could be developing!

Entry: 39.29
SL: 41.10

TP1: 38.20
TP2: 37.30
TP3: 36.72
Final Target: 35.50

The chart shows a clear bearish structure with lower highs and continued selling pressure. The recent rebound is struggling to gain momentum, and another rejection below 40.50 could send price back toward 36.72.

Invalidation: A sustained recovery above 41.10 weakens the bearish setup.
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DRAM+0.02%
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To be honest
Aoi Sola saying she’s teaching herself about crypto
is just like Sun saying he’s training for lean muscle
Sun just wants traffic; she wants your money
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🚨 Bitcoin and Ethereum ETFs are seeing heavy outflows.
BlackRock and other ETF providers reportedly sold $430.2M worth of $BTC and $100M of $ETH.
Institutional demand is worth watching closely. Are investors taking profits or becoming more cautious?
BTC-5.05%
ETH-7.19%
BLK-4.39%
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