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U.S. equities staged a broad rebound earlier this week, only for AI-related names to face fresh pressure after reports of NVIDIA board deliberations over CEO Jensen Huang’s future. The initial recovery was driven by strong demand signals in AI infrastructure. CoreWeave’s earnings provided a key catalyst, with the stock surging around 25% on the day, helping lift the Nasdaq (up over 1.5–2% in sessions) and semiconductor indexes (with reports of ~7% moves in chip gauges). Broader indices like the S&P 500 also advanced as investors rotated back into tech after prior weakness.
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🚨 JUST IN: 🇺🇸 The U.S. Department of Justice has reportedly opened MULTIPLE investigations involving Nvidia $NVDA, according to Semafor.
The probes reportedly include an ANTITRUST investigation into Nvidia and separate inquiries involving Megaspeed and Supermicro.
The report comes amid claims of Jensen Huang's resignation and growing scrutiny of U.S. AI chip exports to China.
No criminal charges have been announced against Nvidia or Huang.
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#黄仁勋辞职 Nvidia’s rise and fall both come down to Huang. What’s next for the company? Two pieces of news—will the market stabilize?
At 21:49 on November 12, Nvidia’s board announced that Jensen Huang had resigned as president, CEO, and director, effective immediately. The company’s current executive vice president and CFO, Colette Kress, will serve as interim CEO. Until a permanent successor is determined, Kress will also serve concurrently as executive vice president, CFO, and interim CEO.
After that, the board appointed Harvey C. Jones as the first chairman in Nvidia’s history.
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FangHan_sCryptocurrenc
$BTC and #美股 Plunges: Has the Cause Been Updated? The Kurumi Effect? Recently, there’s been a short-video meme: “Whenever Kurumi updates, U.S. stocks plunge.”
After the latest episode of this anime came out, U.S. stocks suffered a historic sell-off, wiping out nearly $3 trillion and making history right before our eyes.
For those who haven’t heard of it, here’s what the anime “FX Fighter Kurumi” is about: a college student wants to earn back the money her mother lost trading forex with leverage, so she follows in her mother’s footsteps and opens positions, then dances on the edge of liquidation every day. The latest episode came out, and U.S. stocks really did deliver—Nasdaq fell 5.52% in a single day, the S&P 500 dropped 4.36%, and nearly $3 trillion vanished overnight. Netizens went wild. Meanwhile, someone posted a picture showing various train delays in Tokyo, dubbed the plunge the “Kurumi effect,” and even joined it with the “Ding Xie effect” as sworn brothers.
When episode six of the anime came out, what happened to U.S. stocks was just like what happened in the anime. How many people have become Kurumi? One line came crashing down, and amid the past-tense AI boom, how many retail investors firmly believed that computing power never sleeps and NVIDIA and semiconductor stocks would always have a solid floor? Any pullback was a golden opportunity to buy. But today, semiconductors were down to just 1/6 conductors; faith in the solid floor was gone, utterly wiped out.
The market has never gone easy on you just because you’re having a hard time!
But really, don’t blame anime. Just look at how many negative factors there have been lately: a hack, wars, midterm elections, and so on.
On November 4, Bitcoin even bounced back to $81,000 on the tailwind of the Dow’s 3% gain, looking like it was “moving independently of crypto.” Then the next day, the U.S. stock AI sector collapsed, the Nasdaq closed down 5.52%, and Bitcoin immediately plunged along with it, dropping from above $80,000 straight to $75,200, down about 5.5% for the day, with $140 billion in market cap wiped out in four hours. So much for “digital gold.” Gold edged up 0.9% that day, but Bitcoin followed the Nasdaq. The mood had been optimistic that day, but 24 hours later the Nasdaq was slapped down 5.5% by the AI sector, and Bitcoin plunged along with it. As of November 7, it was hovering around $75,700, with less than 1% movement in 24 hours—looking just like someone who’d just been beaten up, crouched in a corner catching their breath.
The trigger for this decline wasn’t an on-chain security incident or a regulatory crackdown, but a collective collapse in the U.S. stock AI sector. The Nasdaq plunged 5.52% that day, the Philadelphia Semiconductor Index crashed 12.25%, AMD fell more than 17%, and NVIDIA dropped over 9%. Bitcoin wasn’t immune; it just fell a few hours later than chip stocks.
Liquidation data says more about the nature of the move than prices do. About $1.17 billion in crypto derivatives positions were forcibly liquidated in 24 hours, including $342.5 million in Bitcoin-related liquidations, 90.9% of which were longs—about $276 million in bullish leveraged positions wiped out in the same window. This wasn’t a “normal pullback”; it was a targeted cleanup of crowded longs. The overwhelming majority of BTC bets were on prices rising, meaning the drop itself became a self-reinforcing process: price falls → stop-losses triggered → leveraged positions liquidated → price falls further.
The chain reaction started in Washington, not on-chain. After Democrats won both chambers in the midterm elections, markets rapidly repriced the approval and regulatory headwinds facing AI data centers, and the chip, memory, and optical communications sectors were the first to collapse. Institutions moved in the same direction: for the week ending November 6, U.S. spot Bitcoin ETFs saw net outflows of $1.28 billion, their worst weekly performance since late June, wiping out all cumulative net inflows for 2026. BlackRock’s IBIT saw $403 million in outflows on Friday alone, accounting for 88% of that day’s total outflows. The ETF channel has made the transmission between Bitcoin and institutional money in U.S. stocks extremely fast: AI stocks fall → risk budgets shrink → ETF redemptions → market makers and hedge funds reduce BTC positions → leveraged longs get liquidated. No link in the chain requires a “crypto-specific reason.”
Glassnode data quantifies this relationship to a degree that’s hard to dress up with a narrative: over the past 30 U.S. stock trading days, Bitcoin’s correlation with the S&P 500 reached 0.8, its highest level since 2020. A 0.8 correlation doesn’t mean “some connection”; it means that on most trading days, the S&P’s direction can almost explain Bitcoin’s. The claim that “Bitcoin is moving independently” has little empirical basis in light of these figures.
What deserves more serious attention is how the “digital gold” narrative performed during this decline. Gold did not follow risk assets lower during the same period, while Bitcoin moved in the exact opposite direction from gold and sold off in sync with risk assets. Bitcoin is far more volatile than gold, and its market structure relies heavily on ETFs and leveraged traders. Once institutional redemptions begin, derivatives amplify the selling pressure. This is not to say that the long-term fixed-supply thesis is entirely invalid, but when deleveraging and shrinking risk appetite are at play, Bitcoin’s trading-asset characteristics outweigh its store-of-value characteristics. Treating it as a “safe-haven core holding” in a portfolio is an untested assumption in this scenario.
What really warrants caution is not that the Kurumi effect has “come true” once again. It’s that when Bitcoin’s 30-day correlation with the S&P 500 rises above 0.8, when a single week of ETF outflows can wipe out the year’s inflows, and when more than 90% of Bitcoin liquidations come from longs, using “digital gold” or “independent asset” as a reason to hold it amounts to a failure of narrative-level risk management. You can choose to trade it, but you need to understand what you’re trading: right now, it’s a high-beta risk asset dominated by institutional capital, one that gets cut first in response to macro shocks. The narrative can remain, but it shouldn’t shield your position from the blow. #每周来晒 #Gate股票畅聊季
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Xiaohan Diary Day 2: The bear market is here, and shitcoins are leading the way. Did you get out? $NVDA Nvidia's Jensen Huang resigns!

英伟达任命Jones为首位董事会主席 拥有逾30年科技管理及投资经验。这个为今天最热闹的信息#黄仁勋或遭罢免 ,想来也唏嘘,ai爆发的过去式里,老黄算是一个时代的巅峰了,各个地方谈合作,算力永不眠,英伟达和半导体永远有铁底,只要回调就是送钱的黄金坑。小寒想说,老黄辞职遭罢免是最错误的操盘
回归正题:目前来看昨日妖币分析$KGEN 赚到就跑是对的,像评论区分析说的一样,btc观望为主,不要抄底也是对的,但是72500尝试开多是错误的,目前为止还是按照小寒之前的分析,没有明确的利好之前,基本上算是熊市了,顺势而为空,妖币多为辅,赚到就跑,不要贪,回调被套是大坑#AI商业化进入兑现期 ‌
FangHan_sCryptocurrenc
Xiaohan’s 3.96u-to-200,000 diary, Day 1: The market has reversed, and $KGEN meme coins are leading the way. Have you entered? (Xiaohan gave an early heads-up, as the posts show.) ‌ First, the analysis: Yesterday, Xiaohan said $BTC BTC shouldn’t rush to buy the dip yet. Wait until after the November 11 MicroStrategy event (MicroStrategy may be removed from the US MSCI index list on November 11, triggering bearish selling pressure, along with the bearish COL data that came in above expectations yesterday or the day before)#美国10月CPI全面超预期
After those two bearish catalysts pass, the bad news is out, which can trigger a rebound. And as Xiaohan flagged yesterday, KGEN is leading the way today as expected.
Both predictions were right, but the BIRB prediction was wrong. The trade still later hit breakeven take-profit, though—a shame.
As for market news, after all the bearish catalysts have passed, we can see that US stocks rebounded first, followed by cryptocurrencies like BTC, ETH, and SOL. Prices have now stabilized, but it’s still unclear whether they’ll fall again, since there’s still no clear positive catalyst (the midterm elections and other bearish factors are still having a major impact).
But! Whales have already been buying the dip around BTC 72,000 and ETH 2,000. On-chain data doesn’t lie: they’ve bought the dip with several hundred million or so.
Xiaohan still recommends mainly waiting on the major coins (or perhaps trying to go long around BTC 72,500)!
For altcoins, focus on meme coins: get in early and leave once you’ve made a profit!#每周来晒
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ZEC continued its weak breakdown trend. After surging to around 992 overnight, it came under pressure and pulled back. Bears continued to drive up volume intraday, successively breaking through the two short-term support levels at 970 and 950. It is currently quoted at 947. As a privacy-sector coin, it is more volatile than major coins, with a larger correction in this move and more concentrated selling pressure.

On the daily chart, the price has fallen below the lower edge of the previous consolidation range, with a clear bearish alignment of short-term moving averages. MACD’s green bars con
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Circular financing schemes and sky-high valuations make a strong case for an AI bubble, but how can everyday investors gauge the room temperature?
Thankfully, we’re not helpless, and there will be signs that cracks are forming.
Be on the lookout for:
> GPU rental prices weakening
> Available capacity becoming easier to find
> Customers negotiating lower renewal prices
> Older GPU systems losing resale value
> Data centers taking longer to fill after becoming operational
> Construction or power delays leaving equipment waiting to generate revenue
Currently, one has flipped red, with multiple o
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invention #2 is ready. the leaf-blower jetpack.
two leaf blowers. one . a lot of duct tape. i told the neighbor to stand back.
it worked. for three feet.
then it went sideways, through the fence, and into his roses.
he did not say anything. he just took a photo.
mission: help Elon make life multiplanetary.
invention #2: the leaf-blower jetpack.
status: the neighbor's roses.
captain caffeine · comic #2
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A NEW WAY TO EARN YIELD ON YOUR $FLR IS NOW LIVE!! 🤯
In this video, I break down how @SparkDexAI and @upshift_fi new EarnFLR vault lets you put your $FLR to work and earn yield.. 💰
This is a MUST WATCH for all $FLR holders! 👇
🔗
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Why America Never Pays Back Its 40 Trillion in Debt and Other Countries Pay Twice #bitcoin #trading #crypto #indicators #cryptocurrency
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back in Vietnam after 30h travelling
new apartment, new environment
time to lock in and finally make it
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$XTZ could be heading into dangerous territory!

The breakdown has opened the door for a potential wave of downside momentum.

Market structure is weakening, with sellers appearing ready to take control.

Any weak recovery could turn into another selling opportunity.

A deeper correction may be approaching if bulls fail to defend current levels.

Watch $XTZ closely. The next move could be brutal!
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Every post on Bluesky, the social network with more than 47.5M users, carries a content ID, a fingerprint that comes from IPFS. That is more than 3.4B posts.
Filecoin was built as the storage layer for IPFS.
@Filecoin
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Crypto Analyst: 11.13 Ethereum (ETH) daily candles face consecutive bearish pressure, with a weak four-hour recovery: the bull-bear divide is clear—who will step in at the 2000 round-number level?

  The closer price gets to support, the more you should replace “buy the dip” with “test and learn.” Nobody can buy the exact bottom; all you can do is test the waters with a small position at a relatively low price. If you’re wrong, you lose less; if you’re right, you can add to your position. Don’t go all in just because you see a rebound, and don’t lose all hope just because of a pullback. The da
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Why America Will Never Repay Its 40 Trillion Debt While Other Countries Pay Double #bitcoin #trading #crypto #indicators #cryptocurrency
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$IDOL ‌ Just took a quick peek while slacking off, and it plunged more than 7% in 5 minutes. The current price is 0.02568, still down 2.27% over 24h. I didn't dare catch this sharp drop anyway😅 The 24h high of 0.040112 is hanging overhead, and the contract funding rate is only +0.0050%—neither bulls nor bears have much conviction. Better to just watch with a small position. I really wouldn't touch leverage; manage your own risk. #摸鱼看盘 #IDOL
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Trading discipline for tomorrow night: Don’t bet on the data; respond based on where core PPI lands

The easiest way to lose money on PPI night is to take a large directional position before the data release. At 21:30, market makers pull their orders and the order book thins out. A small number of orders can push prices to extreme levels, only for them to quickly snap back. Most of the “precise stop-loss sweeps” you see are just noise in a liquidity vacuum.

Tomorrow night’s discipline can be divided into three scenarios based on core PPI month over month.

Scenario one: Core ≤0.2%. This is cl
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I have no confidence in the future of $NVDA after Jensen’s resignation.
Beyond the next couple years of existing revenue + roadmaps.
Without Jensen’s visionary leadership that previously set them ahead of $AMD to Broadcom
It’s don’t find Nvidia compelling in the long horizon
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