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$ELSA After this -26.8% bloodbath, I advise you not to rush to buy the dip.
I just finished watching the market, $ELSA is now at 0.0783, plunging straight from 0.1219 to 0.0770 in 24 hours, with trading volume hitting 210.9M—the kind of volume that would normally keep it moving sideways for a week was all used to sell off today. The order book is crystal clear: buy orders stacked above 0.08 were eaten up one bite at a time, and the rebound never even touched 0.085. This is a classic panic-driven sell-off, not a shakeout. The capital flows are even more obvious: heavy-volume decline + no meani
ELSA+5.80%
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This path, winding along the mountainside, calls to me—further on, deeper in. 🏔️
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Things have felt great these past few days; everyone’s been making gains, guys.
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Linux has been found to contain 948 local privilege escalation vulnerabilities, and Firefox has another 81 high-severity ones—is this just the first batch of homework from GPT-6 Cyber?
OpenAI says researchers used it to produce working exploit samples for 948 Linux local privilege escalation vulnerabilities, 588 of which were previously unknown.
Even more striking, 304 critical findings have already been sent to maintainers with candidate patches—not just names for them to figure out on their own.
As for Firefox, 81 previously unknown high-severity vulnerabilities were found, and Mozilla has a
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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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Nonfarm payrolls data is about to be released. This time, the market is focused not only on employment performance, but also on how it may affect the Fed’s future rate decisions.

Market expectations for a December rate hike have risen noticeably, with the probability approaching 79% (based on current market expectations).
Here’s a brief look at the relationship between the data and the crypto market:
$BTC : Sensitive to interest rate expectations, with clear resistance near $80,000. If employment data beats expectations, watch for a pullback to the $76,000 area.
$ETH : Short-term volatility m
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BTC-0.67%
ETH-1.26%
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When people open their wallets, the first thing they usually check is the balance. UTXOs rarely get much attention when nothing goes wrong. After using BRC-20, Runes, and Ordinals for a while, Minting and transferring leave behind a pile of scattered UTXOs. Some BTC or FB can get stuck in them, and over time you may forget which ones are safe to move and which could cause assets to be spent along with them. UniSat has built a dedicated UTXO management tool. You can split, merge, and lock the scattered UTXOs in your wallet, and clean up Mint and Transfer inscriptions that are no longer useful.
ORDI-0.28%
BTC-0.67%
FB-1.17%
$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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Great, $UAI continues to surge. The rally is too strong, and there are currently no signs of a crash, so I’ll keep holding my long position and watch 😍😍😍$AKE $TA 😍😍😍
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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!
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📡 Real-Time Signal Card | Just Captured by BTCSOS
KOL: Bitcoin Fengge Direction: $ETH Long Entry: 2435 Target: 2520 / 2560 Stop Loss: 2360 Time: Not specified (just captured)
Speaking of which, I reposted Fengge’s $ETH trade earlier today, and now he’s back again. He really is diligent 👀
As usual, Sis is just passing this along. Whether to follow and how much to put in is up to you, babe. The market can go crazy, but risk management can’t.
Shared as a personal record, not investment advice. #ethereum
ETH-1.26%
#美股史诗级抛售 #Gate Stock Chat Season
The Second Half of the AI Rally: From Compute to Applications, Who Will Rebound First, Microsoft or Amazon?

The AI rally is shifting gears.
Over the past two years, the market rewarded “compute”: whoever bought more GPUs and expanded data centers faster took center stage. The “selling shovels” logic was simple and blunt. But in the second half of 2026, the narrative has changed—mutual funds are starting to abandon pure story stocks and use “annualized returns” to screen investments, with capital moving from upstream compute hardware to downstream applications
MSFT-3.65%
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Eshu Live_Over all crypto market updates
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🔹Democrats Sweep Both Chambers of Congress as the Dow Surges Over 3! But AI Stocks F
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#DemocratsWinBothChambers
Democratic Control of Both US Congress Chambers: Political, Economic, and Market Analysis
The Democratic Party has secured majorities in both the House of Representatives and the Senate following the 2026 midterm elections. This shifts the balance of power in Washington for the final two years of the current presidential term, creating a period of divided government. The House of Representatives is the lower chamber of Congress, where all 435 seats were contested. The Senate is the upper chamber, with roughly one-third of its 100 seats up for election. Democrats fli
Gm
Its friyayyyyyyy
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The guys over in Yunnan are still way ahead of their time.
There’s even this kind of model.
When I saw it, I thought it was Snorlax???
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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$BTC $ETH Midday Analysis, Nov. 6, published at 12:12 p.m.

The midterm elections are the fuse; last night’s sharp drop was just the appetizer. Tonight will be the hunt. The short on Sandisk at 996 and the short on gold at 4129 both hit their take-profit targets last night. Congratulations to everyone who followed along. Here at Rui Ge’s, all take-profit and stop-loss trades are reviewed so you can learn to respect the market. By reviewing and reflecting with me, you’ll become stronger. If you like the streamer, feel free to follow and watch for a while to see whether a subscription is worthwh
BTC-0.65%
ETH-1.23%
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🔥 What’s worth talking about today? Gate Square trending topics are live!

🔹 #USStocksFaceHistoricSelloff
Tech stocks are under heavy pressure. Is this just a correction, or the start of a deeper selloff?
🔹 #USNonfarmPayrolls
U.S. jobs data is due tonight. Will it help markets stabilize, or trigger another round of volatility?
🔹 #CryptoMarketUnderPressure
$BTC and $ETH are falling with broader risk assets. Buy the dip, reduce exposure, or stay on the sidelines?

Quality content can get traffic support + Featured placement.
💰 Got a view? Share it:
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🔥 What’s worth talking about today? Gate Square trending topics are live!

🔹 #USStocksFaceHistoricSelloff
Tech stocks are under heavy pressure. Is this just a correction, or the start of a deeper selloff?
🔹 #USNonfarmPayrolls
U.S. jobs data is due tonight. Will it help markets stabilize, or trigger another round of volatility?
🔹 #CryptoMarketUnderPressure
$BTC and $ETH are falling with broader risk assets. Buy the dip, reduce exposure, or stay on the sidelines?

Quality content can get traffic support + Featured placement.
💰 Got a view? Share it:
https://www.gate.com/post/topic
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USStocksFaceHistoricSelloff

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