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$BTC $ETH $TSLA
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ETH-1.26%
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$AIN It's only been a day, and it's growing so well. It'll be ready to harvest again soon
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AIN+3.85%
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DOGE
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STONK
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#GoldmanSachsRemainsBullishOnDataCentersDespiteTheAISelloff
Goldman Sachs Still Sees a Powerful Future for Data Centers: Why AI Demand May Remain Strong Despite the Stock Market Correction
The recent selloff in artificial intelligence stocks has raised an important question: is the AI boom losing momentum, or is the market simply reassessing the companies and valuations connected to it?

Goldman Sachs remains constructive on the long-term outlook for data centers because the underlying demand for computing power, cloud services and AI infrastructure could continue expanding even while techno
$ONE I missed part of this move. The night FTX collapsed last year, I still had 31k U in my account. I held on until March this year, when I was down to just 8,600. My hands were shaking the day I cut my losses. At today’s price of 0.0019, the 24-hour gain is 27.45%, with a high of 0.0021, a low of 0.0013, and trading volume of 419M—note that 419M is a moderately high volume level by ONE’s historical standards, not a fake pump. I reviewed the previous three similar volume-and-price setups: after breaking above the previous high on heavy volume, if the price pulls back to the 0.0017-0.0018 rang
  • 1
#AITechSelloffPutsCryptoUnderPressure

𝗔𝗜 𝗧𝗲𝗰𝗵 𝗦𝗲𝗹𝗹𝗼𝗳𝗳 𝗣𝘂𝘁𝘀 𝗖𝗿𝘆𝗽𝘁𝗼 𝗨𝗻𝗱𝗲𝗿 𝗣𝗿𝗲𝘀𝘀𝘂𝗿𝗲: 𝗪𝗵𝘆 𝗗𝗶𝗱 𝗕𝗶𝘁𝗰𝗼𝗶𝗻 𝗙𝗮𝗹𝗹 𝗪𝗶𝘁𝗵 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝘁𝗼𝗰𝗸𝘀?

Imagine checking your portfolio one morning and seeing technology stocks falling sharply. A few hours later, Bitcoin and other cryptocurrencies are also losing value. You might wonder: Why is a problem in the AI industry affecting the crypto market?

This is exactly the connection investors witnessed on November 5, 2026. A major selloff in artificial intelligence (AI) and technology stocks spre
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ETH-1.26%
Two years, and I lost 3 million. At my lowest point, I had only 38,000 left in my account and still owed money on my credit card. I lost 870k in the first year and thought I just wasn’t working hard enough; I lost 2.13 million in the second year before I realized I was going in the wrong direction. I didn’t learn these lessons by reading about them—I paid for them. Each one came with a price tag. 1. First figure out how much you can afford to lose, then how much you could make. Of the 3 million I lost, 1.8 million came from trades where I “only meant to lose 20k.” Before opening a position, wr
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BTC-0.65%
“The Risk-Reward Ratio: The Fourth Number That Determines Whether You Live or Die”
Most people focus on just one number: win rate. “I have a 70% win rate.” Sounds impressive. But if he makes $1 on each win and loses $3 on each loss, a 70% win rate still loses money. First, remember this formula: Break-even win rate = 1 ÷ (1 + risk-reward ratio). A 1:1 risk-reward ratio → requires a 50% win rate to break even. A 1:1.5 risk-reward ratio → requires 40%. A 1:2 risk-reward ratio → requires 33%. A 1:3 risk-reward ratio → requires 25%. See what’s happening? The higher your risk-reward ratio, the lowe
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BTC-0.65%
#交易机器人 Thanks to the platform for sending me a trial position
I'm using the BTCUSDT futures grid bot on Gate and invite you to copy trade with me
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#每周来晒 #BTCReclaims76000 Bitcoin’s $76K Battle: Accumulation Signal or Another Bull Trap?
Bitcoin is testing an important psychological level, but the latest market signals are sending two different messages. Price has attempted to reclaim $76,000, while institutional ETF flows remain deeply negative and the Ahr999 indicator has returned to its accumulation zone. This is exactly the kind of market where looking at price alone can lead to the wrong conclusion.

$76,000 Is the Immediate Market Pivot

Gate market data reported BTC trading around $76,012 after breaking above $76,000. However, anoth
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ETH-0.91%
#TOTAL3
Altcoin market capitalization.
Friends, altcoin market capitalization excluding BTC and ETH, TOTAL3, closed on November 5 at 726 billion, below the 728–735 billion support band. This band held on September 2, September 16, and October 30; the 200-day average at 729 billion is also here. The November 6 close also came in below the band at 727.8 billion.
Currently around 725.6 billion. The first support below is 716–726 billion, where the May lows are. If this level is lost too, 683–692 billion comes into play, followed by the June–August lows at 641–651 billion.
Above, 735 billion needs
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$BTW ‌Made 2U on this coin today. Ranked 16th on today's top trader list.
BTW-7.42%
  • 2
#BTC #NASDAQ
Bitcoin and Nasdaq.
Friends, the 30-day correlation between Bitcoin $BTC and the Nasdaq 100 has risen to 0.72. Three months ago, it was 0.31. Since 2024, this level had been reached only twice: January 2025 and November 2025.
Over the past year, BTC also fell on 12 of the 13 days when the Nasdaq dropped more than 2%, averaging -2.9%. BTC also rose on 12 of the 14 days when the Nasdaq gained more than 2%, averaging +2.5%. On November 5, the Nasdaq fell 6.4% and BTC fell 5.5%.
Follow-through after the previous two periods was weak. BTC, at 104,077 on January 17, 2025, was down 20.5
BTC-0.67%
NAS100-0.07%
SPX500+0.19%
The U.S. added 165,000 nonfarm payroll jobs in October, far exceeding expectations.
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LIVE1,550
#AITechSelloffPutsCryptoUnderPressure
AI Tech Selloff Puts Crypto Under Pressure: What Investors Need to Know
The recent selloff in artificial intelligence (AI) technology stocks is creating fresh uncertainty across global financial markets, putting additional pressure on cryptocurrencies such as Bitcoin and Ethereum.
AI-related companies have attracted significant investor attention due to strong growth expectations, major technological developments, and increasing demand for AI infrastructure. However, when investors begin selling technology stocks to secure profits or reduce risk, the impa
BTC-0.67%
ETH-1.26%
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#USStocksFaceHistoricSelloff #ShareWeekly
My Take on the Historic US Stocks Selloff: Why AMD and AI Chips Got Hit Hard, What’s Really Going On, and Where I See Opportunity Next

On Thursday, November 5, 2026, the American stock market delivered
one of its sharpest single-day declines in recent memory. The Nasdaq Composite plunged 5.52% to close at 24,315, its biggest daily drop in 19 months and enough to push the index into formal correction territory (more than 10% below its October 6 record high).

The S&P 500 fell roughly 4.36%, the Dow dropped about 3.44%, and roughly $2.5–3 trillion in
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[New Streamer] Market Updates on Weekend !!!
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LIVE1,205
Found something really interesting.

Send this picture to your GPT and tell it:
“Based on what you know about me, fill this empty room.”
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ETH/BTC bottom seems to be in
I think some consolidation could happen and then the next leg up
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ETH-1.26%
BTC-0.67%
Gate News: According to research by Crypto Briefing, in all 7 cases since 2016 when the Federal Reserve resumed rate hikes after a pause, Bitcoin fell within 30 days, with a median decline of 2.4%. This pattern is still playing out: the Fed raised rates in September, paused in October, and is expected to resume rate hikes soon. What do you think?
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BTC-0.67%
“Bull and Bear Cycles: Is This Time Really Different?” (Let the real historical data speak)

Let’s put the data on the table first, no mysticism. The three bear markets in history

2013 peak 1,160 → end of January 2015: 150, down 87%, over 13 months

2017 peak 19,800 → end of December 2018: 3,200, down 84%, over 12 months

2021 peak 69,000 → end of November 2022: 15,500, down 77%, over 12 months

This cycle’s October 2025 peak of 126,200 → now 75,957, down 39.8% over 13 months. See the difference? The timing is here, but the decline hasn’t gone far enough. The previous three cycles all fell 77
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BTC-0.65%
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USAIStocksHitHard

18.77k Views3.66k Discussing

U.S. stocks sold off sharply on Thursday, November 5 (UTC). The Nasdaq closed down around 5.5%, entering correction territory, while the Philadelphia Semiconductor Index plunged roughly 12%, with chip stocks including $NVDA and $AMD posting steep losses. Beyond profit-taking, investors are growing concerned about the pace of AI data center construction, capital spending, and future returns on investment. The key question now is whether the AI sector’s lofty growth expectations need to be repriced. Where do you think the next opportunities will emerge: chip stocks, tech giants, or other sectors?

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