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🚨 BITCOIN & ETHEREUM ETFs SEE MASSIVE OUTFLOWS!
@BlackRock and other spot ETFs reportedly sold:
$430.2M worth of $BTC
$100M worth of $ETH
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BTC-5.05%
ETH-7.19%
BLK-4.39%
#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 $INTC
#USStocksFaceHistoricSelloff
#GateSquareTradingChallenge #Gate股票畅聊季 #GateStockTalkSeason #ShareWeekly
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Keep me posted—we’re getting ready to roll
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$SOL
90.5 resistance worked precisely, and the short target was successfully hit
The morning call suggested shorting at 90.3–90.5. The price rose to 90.54 intraday before meeting resistance and pulling back. It has now fallen below the first target of 89.2, with the decline fully in line with expectations.
#美股史诗级抛售
The broader bearish trend remains unchanged; the rebound is just a window to enter short positions at higher levels.
The next support below is around 88.5. If the price continues to break lower, follow the trend and look for new lows.
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Top-OutMemo
11.6 $SOL Today's outlook
After dipping to 88.22 overnight, the market entered an oversold recovery phase. The broader bearish trend remains unchanged, and rebounds are still under pressure with further downside potential. Prioritize shorting rallies, supplemented by short-term longs at support.
#美股史诗级抛售
- Support: 88.8-89.0, around 88.2
- Resistance: 90.3-90.5, 90.8-91.0
- Shorts: Enter in batches on a rebound to 90.3-90.5, stop-loss at 91.2, initial target 89.2, then 88.5 if support breaks
- Short-term longs: If price stabilizes after retesting 88.8-89.0, consider a small long position, stop-loss at 88.2, target 89.8-90.2
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SOL-0.77%
What Is Multi-Timeframe Analysis? Why Doesn’t a Bullish Short-Term Trend Mean the Long-Term Trend Is Also Rising?

In cryptocurrency trading, the same asset can show completely different trends across different timeframes. The 15-minute chart may be rising, while the 4-hour chart may still be in a downtrend, and the daily chart may show the market moving sideways. Looking at just one timeframe can easily lead you to mistake a brief rebound for a trend reversal.

First, what is multi-timeframe analysis?

Multi-timeframe analysis involves observing price movements across different timeframes to
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Mr. Mai is so generous! Thumbs up
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PleaseCallMeMr.Mai
The Apple gifts for fans have all been distributed. 😊
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💬 This Week’s Topic
U.S. stocks faced heavy selling on Thursday, with the Nasdaq closing down over 5%. AI and chip stocks, including NVDA and AMD, plunged across the board. Do you think
Gate_Square
📉 U.S. tech stocks plunge across the board | Post to claim red packets, with up to 100 USDT for the weekly leaderboard!
Gate Square’s “Share Weekly” special on trending topics is underway!

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💬 This Week’s Topic
U.S. stocks faced heavy selling on Thursday, with the Nasdaq closing down over 5%. AI and chip stocks, including NVDA and AMD, plunged across the board. Do you think this downturn is short-term deleveraging, or is the AI trade entering a deeper correction? Which do you favor next: chip stocks, tech giants, or other defensive sectors?

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📉 U.S. tech stocks plunge across the board | Post to claim red packets, with up to 100 USDT for the weekly leaderboard!
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2️⃣ Share your take with the hashtags #每週來曬 and #美股史詩級拋售

💬 This Week’s Topic
U.S. stocks faced heavy selling on Thursday, with the Nasdaq closing down over 5%. AI and chip stocks, including NVDA and AMD, plunged across the board. Do you think this downturn is short-term deleveraging, or is the AI trade entering a deeper correction? Which do you favor next: chip stocks, tech giants, or other defensive sectors?

👉 Post Now: https://www.gate.com/post/topic/USStocksFaceHistoricSelloff?topic_id=212400

📉 US Tech Stocks Take a Major Hit | Post to Win Up to 100 USDT!
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1️⃣ Sign up: https://www.gate.com/campaigns/6244
2️⃣ Post with #ShareWeekly and #USStocksFaceHistoricSelloff

💬 This Week’s Topic
US stocks faced heavy selling on Thursday, with Nasdaq falling over 5%. Is this a short-term deleveraging event or the start of a deeper correction in AI stocks? Which tech sector would you prefer next?

👉 Post Now: https://www.gate.com/post/topic/USStocksFaceHistoricSelloff?topic_id=212400
#ShareWeekly
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NDAQ-2.63%
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🏆 Gate Social Year-End Community Gala | Annual Streamer & Creator Awards Now Open for Entries!

🎁 Top 20 rewards revealed for both Chinese-language categories!
🥇 TOP 1: DJI Osmo Pocket 4
🥈 TOP 2–3: AirPods Pro 3
🥉 TOP 4–6: Honor AI Projector
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What Is Confluence Among Trading Signals? Why Don’t Multiple Indicators Sending Similar Signals at the Same Time Guarantee a Successful Trade?

In cryptocurrency trading, traders often use moving averages, RSI, MACD, trading volume, and support and resistance analysis at the same time. When multiple signals point in the same direction, many people assume the probability of a successful trade must be higher. But having more signals does not mean there is sufficient evidence, nor does it mean the market outcome is certain.

First, what is trading signal confluence?

Trading signal confluence ref
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What is the risk-reward ratio? Why can a trade have long-term value even if its win rate is low, as long as risk is managed reasonably?

In cryptocurrency trading, many people focus too much on win rate, believing that they need to make frequent correct calls to make money. But long-term trading results are not determined by win rate alone; the amount gained or lost on each trade also matters. The risk-reward ratio is an important tool that helps traders assess whether a trade is worth taking.

First, what is the risk-reward ratio?

The risk-reward ratio typically compares a trade’s potential
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$UAI The coin I bought the dip on has taken off again, making 490% in no time. Can you pump it to $1 so I can achieve financial freedom? 😎
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UAI-7.58%
Crypto Market and Concepts
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LIVE1,980
BTC: Buy or sell? Keep accumulating ETH or get out for now? Crypto investors now face the most real-world choice!

Bitcoin and Ethereum are under pressure along with global risk assets, and the market is once again testing investors’ discipline.
Some choose to buy the dip, believing the long-term trend has not changed; some reduce their positions, worried that global liquidity will continue to tighten; others simply stay on the sidelines and wait for the market to show direction.
So, which strategy makes more sense?
I believe no single strategy is right for everyone.
Long-term investors can fo
BTC-0.67%
ETH-1.26%
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$BCH

$BTC is still churning within its range, refusing to pick a direction, while $BCH has quietly tightened its grip on the reins!
The broader market plunged 5.6%, as retail traders rushed to cut their positions and exit.
$BCH dipped to $270 but was quickly bought back up. Negative funding rates have been pushed to the extreme, with 82,000 short contracts crowded below.
The big players are probably already laughing—this pile of short contracts is ready-made fuel for a rally!
#BCH$BCH
👇
Risk warning: The above is only market observation and personal opinion and does not constitute invest
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BTC-0.67%
🔹Democrats Sweep Both Chambers of Congress as the Dow Surges Over 3! But AI Stocks F
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LIVE2,014
$PI Xiaopaipai took 2 Viagra pills and was relatively erect and firm.
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PI-0.60%
$AKE From 0.0019 to 0.0045 in 24 hours, now at 0.0044, up 73%, with $266 million in trading volume—retail traders alone can't generate that kind of volume; someone must know something and be scrambling to accumulate. My trading logic is straightforward: tokens that surge and double on heavy volume, then consolidate at highs, have only two possible paths—either they consolidate and change hands before a second leg up, or this is the last respectable act before distribution. My approach is not to chase now; I’ll place bids at 0.0040–0.0041 to catch a pullback, with only 20% of my position alloca
AKE+6.07%
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Many people treat “low volatility” as a safety signal, which is precisely one of the most dangerous misconceptions in position management. Volatility compression means stop-loss room is squeezed, while once a direction is chosen, slippage and the damage from false breakouts are actually greater.
Currently, $TRX is trading at 0.3187, down just 0.34% over 24h, with a range of about 1.41% across 30 candlesticks, a typical low-volatility consolidation. MA5 (0.31876) has edged above MA20 (0.31818), and the MACD histogram has turned positive (+0.0001948), but RSI is only 50.2, while the Bollinger B
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MSTRB
MSTRBMSTRB
Four.meme
MC:$3.29KHolders:4
0.07%
TRX+0.42%
MARSCOIN-4.38%
Over ten hours, $INTC made two moves in exactly the same direction.
The first came during the first hour of U.S. stock trading: two candles dumped ten million contracts.
The price slid from 57.74 to 50.49, finishing the day at -12.6%.
Ten million contracts—that’s someone clearing out.
The second took just four million contracts to give back that early-morning rebound, and then some.
Volume was down 60%, but the price fell even harder.
The order book is thin. It’s not that someone wants to dump; no one’s willing to catch it.
After the close, it recovered, climbing eight points over eight hours
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INTC+0.05%
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