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📢 Reward Update | Gate Square Certified Creator Incentive
Rewards for November weekly rewards (11.2-11.8) have been distributed.

Apply now to unlock exclusive creator benefits 👉 https://www.gate.com/questionnaire/7698
The more you post, the more you earn!

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📌 Approved form applicants have b
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#美股AI概念股普跌 The AI industry is still growing, but the market is starting to lower its expectations for “unlimited investment.”
On November 5, the Nasdaq fell 5.52%, and the Philadelphia Semiconductor Index fell 12.25%. Chip stocks took the biggest hit, while cloud providers like Microsoft and Amazon fell much less. This shows that investors are reassessing which companies to back, not that AI demand has suddenly disappeared.

Why the market fell this time
Policy expectations shifted: After the midterm elections, approvals for data centers and AI regulations could tighten.
Returns are being ques
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ThisIsTranslateContent:
#美股AI概念股普跌 The AI industry is still growing, but the market is starting to discount expectations of “unlimited investment.”
On November 5, the Nasdaq fell 5.52%, and the Philadelphia Semiconductor Index fell 12.25%. Chip stocks fell the hardest, while cloud providers like Microsoft and Amazon saw much smaller declines. This shows that investors are reassessing companies, not that AI demand has suddenly disappeared.
Why did the market fall this time?
Policy expectations shifted: After the midterm elections, data center approvals and AI regulation may tighten.
Returns are being questioned: Free cash flow at Google, Meta, and others has turned negative, putting the problems of heavy investment and slow returns in the spotlight.
Interest rates are weighing on valuations: Rising Treasury yields are hitting high-valuation tech stocks first.
Crowded trades are unwinding: Leveraged ETFs and quantitative funds cut positions in unison, amplifying the declines.
What signs suggest the trade is really cooling?
Earnings expectations have not been significantly revised down; stock price declines are mainly driven by P/E multiple contraction, indicating that valuations are being repriced.
Companies with higher capital expenditures have fallen harder, as the market starts scrutinizing returns on investment.
Pure-play concept stocks and highly leveraged computing-power rental companies face more pronounced shakeout pressure.
Bernstein believes the long-term thesis remains intact, but a full recovery will take time.
Looking ahead, markets will remain volatile in the short term. For the market to truly enter a cooling phase, watch whether data center construction actually slows, cloud providers cut spending, and AI revenue continues to materialize. For now, this looks more like a shift from “telling stories” to “checking results,” not a bubble bursting like in 2000. #WCTCS9
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#GateIPOAccessAnthropic
GATE IPO ACCESS TO ANTHROPIC: A NEW OPPORTUNITY FOR INVESTORS, BUT IS THE NEXT BIG MARKET MOMENT REALLY HERE?

The AI industry is entering an exciting new phase, and Anthropic is attracting growing attention from investors around the world. As one of the major companies developing advanced artificial intelligence technology, Anthropic represents an important name in the rapidly expanding AI ecosystem.

The discussion around IPO access is creating interest because investors are always searching for opportunities to participate in promising companies at an early stage. T
BTC | ETH | Gold | Crude Oil
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LIVE3,669
BTC falls below $71k, putting $600 million
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LIVE4,711
#PolymarketAnnualizedRevenueTops1.8B #ShareWeekly
Writing
Polymarket’s $1.8 Billion Annualized Revenue: Is the Prediction Market Becoming the Next Major Crypto Industry?
Prediction markets are rapidly gaining attention, and Polymarket’s latest reported figures show how quickly this sector is expanding. Its annualized revenue run rate has reportedly surpassed $1.8 billion, while U.S. platform notional trading volume exceeded $14.5 billion in October 2026. This represents a remarkable increase compared with June, when activity was considerably lower. The development raises an important question
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Why can actual risk keep rising even as unrealized gains in your account grow?

Many traders actually take on greater risks after making a profit.

A trade makes money, so they increase their position size; the account posts consecutive gains, so they raise leverage; the market keeps rising, and they start to think they have figured out how it works.

But one fact is easy to overlook:

Growing unrealized gains do not mean risk is decreasing; and the more profit you make, the more it does not mean you can afford to take greater losses.

I. Why is it easy to relax risk controls after making a pr
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Why might the recipient still not receive the funds even though the transaction shows as successful?

In the Web3 world, a transfer showing as successful does not necessarily mean the recipient has received the assets and can use them.

The issue may occur at different stages:

1️⃣ Blockchain confirmation and credited status are different

A transaction being confirmed by the blockchain only means it has been included in a block and has met the relevant confirmation requirements. An exchange or other platform may require additional confirmations before crediting the assets to the user's accoun
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#Gate股票现货全球前三 After the pullback, my tech stock watchlist

Gate’s stock spot offering made the global top three on RootData (score: 70.1, 24-hour trading volume: $65.88 million, share: 4.77%), so the range of assets is definitely broad enough. But the ranking is just a ticket in; what follows is what I’m really watching.

I. First, my market view

The first valuation reset is over; the earnings reset hasn’t happened yet.

The Nasdaq 100 closed at 27,740, and its forward PE returned to 18x, the same level as before ChatGPT launched in November 2022; its PE-TTM is 26.4x, at the 1.35th percentile
After the gossip scandal, Jensen Huang made an airport appearance,
and his whole vibe was completely different—like he’d entered his rebellious phase!

He was wearing a Saint Laurent studded leather jacket, totally different from the classic leather jackets his wife used to pick out for him. Netizens joked that he’d entered his rebellious phase and was finally letting loose.

In the past, his wife always picked out his leather jackets, and his style hadn’t changed in decades. This time, he switched to a studded jacket full of personality—the contrast couldn’t be more striking.

You have to adm
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Sectors/indexes yesterday and MTD/YTD
📢 Gate Square #ShareWeekly | Winners Announced!
Nov 2–8 rewards have been distributed. Congrats to our winners! 🎉

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No more talk, no small talk—I'm directly leading a trade to short Bitcoin. $BT There’s no upside at all right now, so I’m choosing to short directly.
$ET Same here. I’m firmly bearish on this move too, not bullish.
Bitcoin and Ethereum both have key short-term levels ⬇️ Bitcoin’s near-term level is $70,000, and Ethereum’s is $2,000. Several Fed officials have recently said that a rate hike cannot be ruled out. Previously, with Trump constantly talking up Bitcoin, it still had a chance to rise. But now the Democrats are unlikely to let old Trump have it so easy! The most likely scenario going f
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BTC-0.65%
ETH-1.23%
$ANT IPO at $1.4T valuation is now multiple times oversubscribed.
After trying to raise $57.8–64.4B… pushing total Anthropic IPO funding closer to $100B.
I guess the pool of capital is infinity in America if you can cure cancer with AI in 5–10 years?
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Join the weekly posting event to post, earn points and win big rewards! https://www.gate.com/campaigns/6244?ref=VLARBF1YAG&ref_type=132
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Why do actual losses exceed expectations even when a stop-loss is set?

Many traders believe that once they set a stop-loss, they have controlled their risk.

But after entering the market, they may find that the stop-loss was triggered, yet the account loss was greater than expected.

This is especially worth watching in volatile cryptocurrency markets, when liquidity declines or contracts undergo rapid liquidations.

The problem is:

A stop-loss is a risk management tool, but it does not mean you will necessarily get filled at the preset price.

I. Different types of stop-loss orders are exe
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Why do some traders review their trades every day and trade for a long time, yet their performance never improves?

They record every trade, study every loss, and even constantly adjust their strategy parameters.

But months pass, and the problems remain: losses keep recurring, trading rules are repeatedly revised, historical backtests look increasingly impressive, yet live trading shows no noticeable improvement.

The problem may not be a lack of effort in reviewing trades, but a flawed review method.

I. Remembering only profitable trades while overlooking the details of failures

People eas
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Why does a higher trading frequency make it easier to underestimate the impact of costs on long-term returns?

Many traders have an intuition:

The more trading opportunities there are, the more chances there are to make money.

But in the cryptocurrency market, frequent trading also means more fees, more slippage, and more opportunities for execution errors.

The question worth asking is not how many trades you can make in a day, but:

Is the expected return from each additional trade sufficient to cover all the costs it generates?

I. Why can small per-trade costs have a large long-term impa
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