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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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🚨 BITCOIN HASHRATE & MINING DIFFICULTY SURGE HIGHER!
Bitcoin’s hashrate and mining difficulty have reached new highs.
This shows the network’s security and strong activity from miners.
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BTC-0.67%
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We have a supervisor when we play games at our place 🥹
You guys have one too, right?? 🥹
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Crypto is an entire ecosystem, not just a place to buy coins and wait for prices to rise.
From blockchain gaming and digital ownership to decentralized finance, there's so much happening beyond the charts.
The real question is: how much of the crypto world have you explored? 🌐
#Crypto #Blockchain #Web3
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Let me say something that might get me criticized: If someone is still consumed by lust and can't take their eyes off the opposite sex, they haven't even gotten started on the path to trading.
I’ve always believed that a man who’s truly focused on trading should be completely desensitized to this stuff. Lust may feel good on the surface, but it quietly drains your focus, clouds your judgment before you enter a trade, and can even throw off your mindset after you take a position.
You’re already trading $BT —can the emotional payoff you get from $BTC really not beat those low-level thrills? If
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BTC-0.67%
The most unusual detail in today’s market is that the Fear & Greed Index is only 29, with the market still in fear territory overall, while the funding rate for $ZRO contracts is +0.0050%. Longs are paying funding, and leveraged capital continues to tilt toward the long side—the price is rising, but sentiment hasn’t caught up. This is a typical “capital leads, sentiment lags” setup.
Technically, $ZRO is currently at 1.59, with MA5=1.5752 above MA20=1.55605, forming a bullish short-term moving average alignment. RSI=62.0 has not yet entered overbought territory, while the MACD histogram at +0.
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KORUB
KORUBSouth Korea Bull
Four.meme
MC:$3.67KHolders:1
0%
ZRO-2.59%
ZEC+1.16%
After the events in Sur, the pack of dogs is more organized
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market update
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LIVE2,313
Imagine having the tools to create something on blockchain.
Would you build a gaming platform, a digital marketplace, a payment solution, a creator community, or something completely new?
The crypto space is still evolving, and fresh ideas are always welcome.
Let's hear your imagination: what would you build? 👇
#Blockchain #Crypto #Web3Innovation
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initia:native is currently at 0.15716, down 50.3% over 24H. The 1H outlook is weak, with RSI at 39 and EMA20 at 0.218; the 4H outlook is weak, with RSI at 53 and EMA20 at 0.195. Both timeframes are trending downward, and the 1H EMA20 being above the 4H EMA20 indicates greater short-term pressure. If it holds above the 0.395 resistance level, a rebound may be worth watching; if it breaks below the 0.15681 support level, weakness may continue. Volume is only 0.13x the average, so any breakout still needs confirmation from trading volume. In the next review, check whether it holds above 0.395 and
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INIT-2.53%
I finally broke even on SanDisk after being stuck in it for a week. Liquidity in crypto is a bit thin tonight—just a few hundred points of back-and-forth chop. Asian and European markets rebounded, and U.S. stocks rebounded too, but crypto has been pretty lackluster #直通IPO第三期Anthropic #Gate全球合规版图扩展
SNDK+15.49%
How is my child going to face their classmates in the future? Just thinking about it gives me a headache.
It’s late—hello, juniors! Your senior Xiaobi here! 🌙
After seeing these latest charts and CPI data, I was following the markets late into the night as soon as the figures came out. October CPI data is in (up 0.4% month over month, with core CPI up 0.3%). Sticky inflation once again disrupted market expectations for sharp Fed rate cuts, putting U.S. tech stocks under broad pressure. BTC also fell in response, briefly dipping below 73k (to a low of 72,692.6 USDT).
But I’ve been keeping a close eye on the charts. Using the multi-timeframe Bollinger Bands and volume charts I have on hand, let’s r
BTC-0.67%
NAS100-0.07%
Arc added $804 million in stablecoin supply growing 161%, while the broader market lost $14 billion.
Still a small player, but that's a pretty interesting divergence.
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ARC-4.26%
$NBIS is trading around $148-$149 before the open. It’s bouncing strongly after the drop on the daily chart. The first test is $150, where there’s significant negative gamma. If it reclaims $150 after the open and holds above it, $160 is the first level I’ll watch.
The gamma bars between $150 and $160 are relatively small. Negative vanna stands out around $160, so if we get close, I’ll watch implied volatility alongside the price reaction. Let’s see if it can hold
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NBIS+16.49%
Quick short trade $ERA
Enter short at 0.08800 or 0.09000; first target: 0.08500; second target: 0.08200; third target: 0.08000; final target: 0.07800++; set stop-loss above 0.09650
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ERA+24.21%
#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+3.95%
AMD+6.76%
TSM+4.10%
AVGO+6.36%
MSFT-2.37%
#晒出我的持仓收益 $NVDA Go all-in long on yourself
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NVDA+3.95%
Anthropic Targets a $1.5 Trillion IPO Valuation! The harder AI stocks fall, the higher its IPO price
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#Gate股票暢聊季 AI has not collapsed; “narrative pricing” has

The main change in this pullback is that AI is shifting from a “narrative pricing” framework to “cash flow pricing.” During this transition, the most profitable stocks are not the purest AI plays, but the companies that can turn capex into free cash flow.

I. How far have things fallen?

The Nasdaq 100 closed at 27,740, down about 14% over three weeks. Last Thursday, it fell 6.36% in a single day, its biggest daily drop since March 2020; the technology sector shed about $2.5 trillion in a day, while the Magnificent Seven lost a combined
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ThisIsTranslateContent:
#Gate股票暢聊季 AI hasn’t collapsed; what collapsed is “narrative pricing”
The main shift in this pullback is that AI is moving from a “narrative pricing” framework to “cash flow pricing.” During the transition, the most profitable investments aren’t the purest AI stocks, but the companies that can turn capex into free cash flow.
I. How far have stocks fallen?
The Nasdaq 100 closed at 27,740, down about 14% over three weeks. Last Thursday, it fell 6.36% in a single day, its biggest one-day drop since March 2020; the tech sector shed about $2.5 trillion in a day, and the Magnificent Seven lost a combined $1 trillion. There was another such selloff on October 30, when about $1 trillion was wiped out in a single day and the Philadelphia Semiconductor Index fell 7.2%.
II. Why the selloff?
1) Political risk premium. After the midterm elections, Democrats won both chambers of Congress and key governorships. The market immediately applied a “regulatory discount” to data centers and AI infrastructure; new review procedures could push about one-fifth of US projects from 2028 onward.
2) Companies are still growing, but profits are starting to diverge. Alphabet’s third-quarter revenue was $127.6 billion, up 25% year over year, while net income was $26.2 billion, down 25% year over year, and EPS was $2.12 versus $2.87. Meta’s free cash flow turned negative at $2.12 billion; its stock fell 7% the day after earnings, and it still needs to raise $35 billion in equity financing to plug the gap. AI spending is starting to squeeze profits. This is a substantive change.
3) Interest rates are rising. After CPI came in above expectations, the 10-year Treasury yield rose above 5%. A 25-basis-point rate hike in December is now priced in at 88.5%, with long-duration assets taking the first hit.
III. Valuations have returned to a reasonable range, but earnings expectations haven’t adjusted enough
The Nasdaq 100’s forward PE has returned to 18x, the same level as before ChatGPT launched in November 2022; its PE-TTM is 26.4x, at the 1.35th percentile over the past year and the 19.1st percentile over the past decade.
But on the other hand, S&P earnings growth in the third quarter was 33%-35%, likely the peak of this cycle, while consensus for 2027 has already fallen to 18%. Mega-cap cloud providers’ capex growth is set to drop from 96% to 44%. Valuations have already adjusted substantially, but earnings haven’t started to adjust yet.
Sentiment hasn’t recovered either. Hedge funds have been net sellers for eight consecutive weeks. Monday’s 3.4% rebound was mainly driven by retail investors chasing the rally and short covering, while long-term investors are still on the sidelines. The VIX rose from 15 to 25 and then fell back to 19, with each trough higher than the last.
Of the three factors—valuation, earnings, and sentiment—only valuation currently passes the test. So my answer is: don’t buy the index; buy the structure.
IV. The four areas I’m watching now
1. The cash-flow discount trade: Google at $287 and 15x PE is the only member of the Magnificent Seven back to “2022 valuations.” With advertising and cloud as its two engines, it has the greatest earnings leverage after digesting capex in 2027. Microsoft at $533 and 27.8x PE lowered its 2026 capex outlook from $175 billion to $170 billion. That’s a sign of discipline, not weaker demand. In a market where “the more you spend, the harder you get hit,” restraint itself is a positive.
​
2. The event-driven overreaction trade: Nvidia at $168.89, 21x PE and about 14x forward PE, is down 17.5% so far in November. Its decline is due to a board investigation and congressional scrutiny triggered by an event involving Jensen Huang personally, not its orders. The market expects third-quarter revenue of about $109 billion and EPS of $2.47 after the close on November 17, and the company beat expectations in each of the past four quarters. But on November 18, three House committees are set to question the company behind closed doors, just hours after the earnings call. So this is event-driven, and it shouldn’t be bought as a trend trade.
How to calculate the risk/reward: In the extreme scenario where the CEO is removed and the company’s value falls 25%-30%, that implies $118-$127. At 12x forward PE, the price would be about $145. My entry point is to establish a first tranche below $145, with $120-$130 as the most extreme tranche. Don’t go all in before earnings; wait for guidance after the report to decide whether to add.
​
3. The second tier of picks-and-shovels plays: TSMC at $396 and 25.7x PE has the most diversified customer base. You could call it an “AI tax collector”: it doesn’t carry single-customer or single-CEO risk, making it the best-value source of certainty this cycle. Broadcom at $332 and 41x PE combines ASICs and networking, with strong order visibility, but its valuation isn’t cheap, so it’s suited to dollar-cost averaging, not chasing. AMD at $515 and 110x PE has genuinely strong results: third-quarter revenue was $13.4 billion, up 45% year over year; data center revenue was $8.5 billion, up 97%; and fourth-quarter guidance is $17 billion. But its valuation already fully prices in growth expectations for 2027. Its rebounds of 11% and 13% on November 6 and 9, respectively, also show that it’s a sentiment stock, not a core holding.
​
4. The defensive trade: Apple at $348 and 38x PE has no capex exposure and the cleanest cash flow, making it the cleanest safe haven in this cycle. But 38x is too expensive; it’s suitable for reducing volatility, not for offense. An even more fundamental alternative is electricity and gas turbines. As the saying goes, “the endgame for computing power is electricity”: data center power consumption is one of the most rigid parts of capex, and it isn’t exposed to the valuation selloff in AI chips.
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MSFT-2.37%
NVDA+3.95%
TSM+4.10%
AVGO+6.36%
AMD+6.76%
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