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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
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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.

#USStocksFaceHistoricSelloff
#Gate股票畅聊季 #GateStockTalkSeason #GateSquareTradingChallenge
#ShareWeekly
$US30 $NAS100 $AMD $MU $NVDA
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Recap:
Yesterday’s JCTUSDT pickup code: tweet price 0.00379, short.
Best entry: 0.004-0.0044. While I was writing the tweet, the coin wicked upward, reaching a high of 0.00459. To be safe, I moved both the original best entry and stop loss up a little. In hindsight, the price action after the wick was still stable. Of course, if the best entry wasn’t reached, only the initial position entered at the current price remained.
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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 tr
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#美股史诗级抛售 #10月非农数据聚焦 #作手分析 #WCTCS9 $NAS100 ‌
🔥 US stocks and crypto plunge across the board, trapping long positions! Crisis or long-term opportunity? Trader breaks down three key reasons behind the sell-off
Trading watchlist: $BTC $ETH $NVDA $GOOGL $ANTHROPIC
On November 5, US stocks and crypto markets suffered a sharp sell-off. The Nasdaq fell 5.52%, the Philadelphia Semiconductor Index plunged 12.3%, and NVDA fell about 9%, while semiconductor stocks such as MU and AMD fell even more. BTC dropped below $76,000, while ETH, HYPE and others also pulled back sharply.
I don't hide my live
Trader
#美股史诗级抛售 #10月非农数据聚焦 #作手分析
🔥 U.S. stocks and crypto plunge together, leaving long positions underwater! Crisis or long-term opportunity? Trader breaks down the three key reasons behind the selloff

Trading watchlist: $BTC $ETH $NVDA $GOOGL $ANTHROPIC

On November 5, U.S. stocks and crypto markets suffered a sharp selloff. The Nasdaq fell 5.52%, the Philadelphia Semiconductor Index plunged 12.3%, and NVDA fell about 9%, with semiconductor stocks such as MU and AMD dropping even more. BTC fell below $76,000, while ETH, HYPE, and others also pulled back sharply.

I’m transparent about my live positions: my HYPE, GOOGL, and ANTHROPIC long positions are currently also showing unrealized losses.

But I don’t think this downturn means the long-term cases for AI and crypto assets are over. Some high-quality assets may, in fact, be presenting long-term spot opportunities worth watching.

I. Three reasons behind this selloff

1️⃣ U.S. midterm elections shift expectations for AI investment

The Democratic Party won control of both chambers of Congress, raising concerns that future data center construction, energy supply, and AI infrastructure investment could face stricter regulation.

But this is only the trigger. The deeper question is whether massive AI capital expenditures can translate into sustained revenue and profits. As the market starts questioning returns on investment, valuations may be repriced.

2️⃣ The AI industry shifts from storytelling to proving profitability

In the past, the market was willing to pay high valuations for AI growth. Now, institutions are paying closer attention to orders, revenue, profits, and cash flow.

Chip demand may remain strong over the long term, but data center construction requires massive investment. Financing costs, energy supply, construction approvals, and investment payback periods could all affect the pace of industry expansion.

AI hasn’t disappeared; the market is simply starting to demand that companies demonstrate real profitability.

3️⃣ U.S. stock losses combine with crypto market liquidations

U.S. tech stocks plunged, and risk appetite quickly declined. CoinDesk, citing CoinGlass data, reported that more than $1 billion in leveraged positions were liquidated in the crypto market over the past 24 hours, with longs accounting for the vast majority.

But the crypto market was already under pressure from ETF outflows, shrinking stablecoin supply, and other factors. The decline in U.S. stocks acted as a catalyst, while leveraged liquidations further amplified the losses.

II. Why is Trader starting to look for long-term spot opportunities?

My logic is simple: short-term price declines don’t mean long-term business value has disappeared.

For NVDA, I’m watching AI chip demand and orders; for GOOGL, cloud business and AI commercialization; for BTC and ETH, capital flows and ecosystem development; and for HYPE, platform revenue and token value capture.

Of course, a big drop doesn’t mean an asset is cheap. For assets like ANTHROPIC, which are still subject to valuation expectations, it’s especially important to watch financing, computing costs, and whether future revenue materializes.

III. What will Trader do next?

I handle spot investing and futures trading separately:

• Spot: Build positions in high-quality assets I’m bullish on in batches, spread out the buying period, and don’t go all-in at once trying to call the bottom.

• Futures: Don’t blindly add to positions just because they’re underwater, and never hold on indefinitely. Wait for signs of stabilization, a breakout, and a confirmed retest before looking for opportunities on the right side of the trend.

• Risk management: If fundamentals change or the price structure continues to weaken, reassess instead of stubbornly sticking to the original view.

Tonight at 21:30 Beijing time, the U.S. will also release its October nonfarm payrolls report. The data could further affect expectations for Fed rate cuts and the performance of risk assets.

Trader believes this correction is worth watching, but it’s still too early to declare that a bottom has formed.

Don’t try to call the top or bottom, and don’t chase the first big green candle. The macro sets the direction; the structure determines the entry.

How are you planning to respond to this selloff?

A. Build a spot position in batches

B. Reduce exposure and wait for confirmation

C. Stay bearish and wait for a deeper bottom

D. Wait on the sidelines for now

Let the market provide the answer instead of trying to predict it!

(Personal opinion for discussion only; not investment advice.)
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11.6 $ETH Today's Outlook
After bottoming at 2204.98 overnight, the market entered an oversold recovery phase. The broader bearish trend remains unchanged, and the rebound still has room to fall when it meets resistance. Prioritize shorting rallies, with short-term longs at support as a secondary strategy.
#美股史诗级抛售
- Support: 2215-2220, 2205
- Resistance: 2240-2245, 2255-2260
- Short: Enter in batches on a rebound to 2240-2245, stop-loss at 2265, initial target 2225, then 2205 if support breaks
- Short-term long: If price stabilizes after retesting 2215-2220, consider a light long position;
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#事件合约 Just luck; I don’t make money every day. In a one-way market, I blindly short. $5,000 in my pocket
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