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Successfully predicted an oversold rebound. I told you this afternoon that those who followed would make money. Successfully secured 1700U$ETH
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ETH-1.23%
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#Gate股票现货全球前三 My Tech Stock Watchlist After the Pullback

Gate’s spot stock trading has made it into RootData’s global top three (score: 70.1, 24-hour trading volume: $65.88 million, share: 4.77%), so the selection of assets is certainly broad enough. But the rankings are just a ticket in; what follows is what I’m really watching.

I. My Market View First

The first round of valuation cuts is over, but earnings cuts have yet to come.

The Nasdaq 100 closed at 27,740, with its forward P/E back to 18x, the same as in November 2022 before ChatGPT launched; its trailing P/E is 26.4x, at the 1.35th
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ThisIsTranslateContent:
#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 of the past year. But S&P earnings growth in Q3 was 33% to 35%, likely the peak of this cycle, while the 2027 consensus has already fallen to 18%, and hyperscalers’ capex growth is set to drop from 96% to 44%. Valuations have already adjusted; earnings are only just beginning to.
Second, the headwind is interest rates, not the AI narrative.
The 10-year yield broke 5%, the 2-year yield is at 4.71%, the dollar index is strengthening, and an interest rate hike of 25 basis points in December is priced in at 88.5%. In this environment, every rebound in long-duration assets lacks one prerequisite: “the denominator stops getting more expensive.” The AI story hasn’t gone bad; the discount rate has.
Third, a reversal requires two signals to appear at the same time.
One is Nvidia’s guidance on November 17; the other is the Fed’s wording on December 9. If either one turns positive, the rebound can qualify as a reversal; if neither does, it’s still a “relief rally after bad news is priced in,” followed by more grinding lower.
II. In volatile periods, I choose depth over breadth
Breadth answers “can I buy it?”; depth answers “am I paying too much, and can I sell it?” During sharp swings in tech stocks, what you really pay is slippage: with thin order books, spreads can eat up 1% to 2%, and a round trip costs as much as one stop-loss.
So in the list below, I’ve deliberately included only names with “depth”—not a single obscure stock.
III. Watchlist (five groups, each with a trigger)
Group 1: Event-driven, watch only
Nvidia, $168.89, PE 21x, forward PE around 14x. Earnings after the close on November 17, with market expectations of around $109 billion in revenue and EPS of 2.47; closed-door questioning by three House committees on November 18; GTC from November 30 to December 3. The risk it faces is governance, not demand. The trigger is price: below $145 is the first tranche, while $120 to $130 is the extreme “CEO gets fired” scenario. I won’t buy a single share before the events play out.
AMD, $515.21, PE 110x. Q3 revenue was $13.4 billion, up 45% year over year; data center revenue was $8.5 billion, up 97% year over year; and Q4 guidance was $17 billion—the results are genuinely strong. But a 110x multiple already fully prices in 2027, and the stock rose 11% and 13% on November 6 and 9, respectively, making it a classic sentiment-driven stock. Trade it only for swings, and take profits quickly.
Group 2: Certainty, add on pullbacks
TSMC, $396.48, PE 25.7x. The most diversified customer base among “AI tax collectors,” without the burden of relying on a single customer or CEO. This is the best value-for-money stock on my list; I’ll add in the $370 to $380 range.
Broadcom, $331.98, PE 41x. ASICs plus networking, with long order visibility, but the valuation isn’t cheap; suitable only for dollar-cost averaging, not chasing.
Group 3: Valuation discount, my top pick
Google, $287.38, PE 15x. The only one of the Magnificent Seven back at its 2022 valuation. Q3 revenue rose 25% year over year, while net income fell 25% year over year—the profits have been eaten up by depreciation, but that also means its profit upside will be the greatest once it’s done absorbing 2027 capex.
Microsoft, $533.16, PE 27.8x. It lowered 2026 capex from $175 billion to $170 billion. In a market where “whoever spends the most gets punished,” restraint itself is good news.
Group 4: Defensive, to reduce volatility
Apple, $348.51, PE 38x. No capex exposure and the cleanest cash flow make it the cleanest safe haven this cycle, but at 38x it can only defend, not attack.
An even harder asset class is power and gas turbines—the end point of computing power is electricity, data center power consumption is one of the most rigid components of capex, and it isn’t exposed to the valuation reset in AI chips.
Group 5: Watch only
Meta, $641.39, PE 21.8x. Q3 free cash flow turned negative at $2.12 billion, and it still plans to issue $35 billion in equity financing. It’s the best stress-test case for the “AI capital cycle”—I’ll consider it once it proves it can turn capex into free cash flow.
IV. How I’ll execute
I won’t buy everything at once. The order is: start with Google and Microsoft, then wait for the November 17–18 events to play out before adding Nvidia; add TSMC on a pullback, and trade AMD only for swings.
No single position will exceed 15% of my total portfolio; during the event period from November 17 to December 9, total exposure will stay below 50%.
Stop-losses are based on earnings expectations, not price. Once 2027 earnings expectations start to be systematically revised downward, I won’t touch the stock, no matter how cheap the valuation gets.
This list isn’t about “what to buy”; it’s about “when to buy, how much to buy, and when not to buy.” In volatile periods, half the gains come from choosing the right stocks, and half from not going all-in at the wrong time.
Which ones are on your list? Let’s talk in the comments.
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NVDA+4.04%
AMD+7.35%
TSM+3.84%
AVGO+6.04%
MSFT-2.00%
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U.S. stocks opened higher, and gold fell in response! If you're long, don't stubbornly hold on! Cut losses when needed, and reverse course when needed! The first target of the intraday bearish strategy, 4020, has been breached! Gold reached a low of 4010, delivering a total move of 56 points! 4000 is just one quick push away! Keep looking lower, below 4000!
$BTC $XAU #Gate全球合规版图扩展 #OpenAI第三季度营收升至100亿美元 #Polymarket年化收入突破18亿美元 #美伊谈判出现新进展
BTC-0.65%
XAU+0.38%
Such a unified market, it seems like all Chinese people are shorting the Nasdaq
There’s been so much good news today, and it’s only gone up this much
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NAS100-0.07%
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How to build your own crypto asset security system? Don’t leave all risks to one wallet.

In the Web3 world, many people think asset security means choosing a reliable wallet, keeping the seed phrase safe, and assuming everything is taken care of.

But real asset security isn’t something a single tool can provide on its own.

A device may be lost, an account may be compromised, approvals may remain active indefinitely, and backups may be damaged. Even if the wallet itself has no issues, user error can also lead to asset losses.

Rather than looking for an absolutely secure wallet, it’s better
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U.S. October CPI Comes in Hotter Than Expected! Odds of a 25bp Fed Rate Hike in December Jump to 88.
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LIVE2,692
The transaction shows as successful, so why might the recipient still not receive the funds?

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 Block confirmation and crediting status are different

A blockchain confirmation only means the on-chain transaction has been included in a block and met the relevant confirmation requirements. An exchange or other platform may require additional confirmations before crediting the assets to the user's account.

2️⃣ The tran
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🚨 JUST IN: German banking giant Deutsche Bank, with $2.23 TRILLION in assets, officially launches CRYPTO CUSTODY services for Bitcoin $BTC , Ethereum $ETH , and stablecoins!
BTC-0.67%
ETH-1.26%
Anyone can say they’re “steady.”
Lay out your live trading results every day,
and you’ll see who’s swimming naked when the tide goes out.
#Polymarket年化收入突破18亿美元
$BE
A bullish divergence has formed on Minority. Was the double top a fakeout? We don’t know yet
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BE+16.97%
I AM SORRY 😔 PUMPFUN
I AM NOT GOING TO GET TRICKED AGAIN
$mihao will have same part like 99.989762% of coins out there.
I am sorry "bagworkers" I am not going to buy this.
See you below 1M no hao cat.
Thank you for attention. Goodnight.
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[NEW STREAMER]market update
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LIVE6,840
Crypto regulation is changing. What does this mean for ordinary users?

In the Web3 world, many people focus on Bitcoin prices, market trends, and new projects, but may overlook an important factor affecting the entire industry: changing regulatory rules.

Regulation is not just an issue for exchanges and project teams. It may also affect ordinary users’ account verification, asset custody, use of stablecoins, cross-border transfers, and the products and services they can access.

But regulatory changes cannot simply be viewed as bullish or bearish.

What really matters is what the rules chang
BTC-0.67%
The $278 Billion Cash Shortfall Over Five Years Is the Real Answer to Whether AI Is Profitable

Discussions of OpenAI’s quarterly profit and loss can easily fall into a trap: using quarterly data to infer a trend. OpenAI’s financial constraints are not measured in quarters, but in years.

Financing documents disclosed by Bloomberg show that OpenAI expects to generate $278 billion in cumulative negative free cash flow from 2026 to 2030, with about $856 billion in compute and infrastructure investments over the same period. Its 2030 revenue target is $350 billion, while revenue in 2026 is expect
OPENAI-0.03%
Some people might think i'm going too hard on certain perp dexes (won't name them)
But i've had enough
Enough of seeing so much money spent on hype and so little on the product
Enough of seeing shitty and dangerous products hidden behind hype and points
Enough of seeing KOLs pretending it's the next giant just to milk their referrals
Enough of seeing founders pretending to be the next Jeff when they're more like the next SBF
This space deserves better, this category deserves better, and there are actually a lot of great builders out there, but usually not the loudest ones
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Model Companies or the Value Chain? My Answer Lies in “Who Has Pricing Power”

The user is asking, “Would you rather focus on model companies like OpenAI, or value-chain companies like NVIDIA and Microsoft?” If you approach this question only from the perspective of “being bullish on AI,” the answer would be “buy both.” But capital and risk tolerance are limited, so you have to rank them.

First, consider valuation metrics. OpenAI’s implied price-to-sales ratio in its Q3 private funding round was about 35.5x, while Anthropic’s was about 20.5x. But these are run-rate figures in the private mark
OPENAI-0.03%
#晒出我的持仓收益 $NVDA Go all-in long on yourself
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NVDA+4.04%
Enterprise business doubled, but what doubled was “code,” not the “AI can do anything” narrative

OpenAI President Greg Brockman said enterprise business doubled in Q3 and already accounts for the vast majority of total revenue. CFO Sarah Friar broke it down further: enterprise revenue growth is mainly driven by three areas—coding tools, cybersecurity products, and the Dots agent platform.‌

What do these three areas have in common? None is a “general-purpose AI” story; they are all “efficiency tools for specific workflows.”

Coding tools are the most mature of the three. The ability of large
OPENAI-0.03%
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