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🚨 JENSEN HUANG JUST DROPPED THE ULTIMATE STOCK MARKET HOPIUM. 🚨😂
According to Jensen Huang, $MRVL could be the next trillion-dollar company.
For context:
📊 Marvell today: ~$191B market cap
🚀 Target: $1T market cap
💰 Required move: Roughly 5x from here
No pressure.
The funny thing is when Jensen speaks, investors react like the AI version of Warren Buffett just descended from the clouds holding a GPU.
And to be fair, the guy’s track record isn’t exactly terrible.
He turned NVIDIA from “that gaming graphics company” into a trillion-dollar AI monster that now seems to print money every quarter. 💀
So naturally, when Jensen says “next $1T company,” the market hears:
✅ Guaranteed
✅ Risk-free
✅ Mortgage-the-house immediately
Because that’s how investors process bullish comments these days. 😂
Of course, reaching $1T isn’t just about having cool AI exposure.
Marvell would need:
📈 Massive revenue growth
📈 Continued AI infrastructure demand
📈 Flawless execution
📈 Markets staying friendly
📈 Investors refusing to discover fear ever again
Easy enough.
The real question isn’t whether Marvell is a good company.
The real question is:
🤔 How much of Jensen’s success comes from being right…
🤔 And how much comes from the fact that everyone listens when he talks?
Because if Jensen announced tomorrow that staplers were the future of AI, half of Wall Street would probably start building DCF models on stapler manufacturers by lunch. 💀
So now investors are left with the classic dilemma:
🐂 Bulls: “If Jensen sees $1T, who am I to doubt him?”
🐻 Bears: “A 5x from $191B isn’t exactly a casual prediction.”
🍿 Everyone else: “I’m buying because the leather jacket guy said so.”
Peak market analysis.
One sentence from Jensen Huang and suddenly millions of dollars are debating whether a company worth nearly $200 billion is somehow still early. 🚀😂📈🍿💀$GENIUS
#Nvidia's #NVIDIAGTC24
🚨 JENSEN HUANG JUST DROPPED THE ULTIMATE STOCK MARKET HOPIUM. 🚨😂
According to Jensen Huang, $MRVL could be the next trillion-dollar company.
For context:
📊 Marvell today: ~$191B market cap
🚀 Target: $1T market cap
💰 Required move: Roughly 5x from here
No pressure.
The funny thing is when Jensen speaks, investors react like the AI version of Warren Buffett just descended from the clouds holding a GPU.
And to be fair, the guy’s track record isn’t exactly terrible.
He turned NVIDIA from “that gaming graphics company” into a trillion-dollar AI monster that now seems to print money every quarter. 💀
So naturally, when Jensen says “next $1T company,” the market hears:
✅ Guaranteed
✅ Risk-free
✅ Mortgage-the-house immediately
Because that’s how investors process bullish comments these days. 😂
Of course, reaching $1T isn’t just about having cool AI exposure.
Marvell would need:
📈 Massive revenue growth
📈 Continued AI infrastructure demand
📈 Flawless execution
📈 Markets staying friendly
📈 Investors refusing to discover fear ever again
Easy enough.
The real question isn’t whether Marvell is a good company.
The real question is:
🤔 How much of Jensen’s success comes from being right…
🤔 And how much comes from the fact that everyone listens when he talks?
Because if Jensen announced tomorrow that staplers were the future of AI, half of Wall Street would probably start building DCF models on stapler manufacturers by lunch. 💀
So now investors are left with the classic dilemma:
🐂 Bulls: “If Jensen sees $1T, who am I to doubt him?”
🐻 Bears: “A 5x from $191B isn’t exactly a casual prediction.”
🍿 Everyone else: “I’m buying because the leather jacket guy said so.”
Peak market analysis.
One sentence from Jensen Huang and suddenly millions of dollars are debating whether a company worth nearly $200 billion is somehow still early. 🚀😂📈🍿💀$GENIUS
#Nvidia's #NVIDIAGTC24
🚨 JUST IN: Nvidia expectations soar ahead of earnings 🤖📈
What is happening? $WLD
• Markets now price a 95% chance Nvidia beats earnings estimates $ZEC
• AI demand continues driving bullish sentiment $EDEN
• Investors expecting strong GPU and data-center revenue
• Nvidia remains central to the global AI infrastructure boom
What this suggests:
• AI spending momentum remains extremely strong
• Markets still rewarding semiconductor and compute leaders
• Expectations for hyperscaler capex remain elevated
Context:
• Nvidia has become the key supplier of AI chips powering data centers and large language models
• Earnings reactions could heavily influence broader tech and AI markets
📊 Market takeaway:
Bullish for AI-linked equities and infrastructure plays—but expectations are extremely high, meaning volatility could remain elevated even after strong results.
#Nvidia's #AI #bullish
What is happening? $WLD
• Markets now price a 95% chance Nvidia beats earnings estimates $ZEC
• AI demand continues driving bullish sentiment $EDEN
• Investors expecting strong GPU and data-center revenue
• Nvidia remains central to the global AI infrastructure boom
What this suggests:
• AI spending momentum remains extremely strong
• Markets still rewarding semiconductor and compute leaders
• Expectations for hyperscaler capex remain elevated
Context:
• Nvidia has become the key supplier of AI chips powering data centers and large language models
• Earnings reactions could heavily influence broader tech and AI markets
📊 Market takeaway:
Bullish for AI-linked equities and infrastructure plays—but expectations are extremely high, meaning volatility could remain elevated even after strong results.
#Nvidia's #AI #bullish
🚨 Nvidia’s AI Boom Is Creating New Opportunities for Bitcoin Miners
Nvidia delivered another blockbuster quarter, reporting $81.6B in revenue, up 85% year-over-year, as demand for AI infrastructure continues to surge.
🔹 AI data center spending remains at record levels
🔹 Bitcoin miners are increasingly leveraging power capacity and infrastructure for AI workloads
🔹 New revenue streams could reduce dependence on mining rewards alone
As AI and crypto infrastructure continue to converge, some mining companies may be positioned to benefit from both trends simultaneously.
👀 Could AI become a bigger growth driver for Bitcoin miners than Bitcoin itself?
$BTC
#Nvidia's
Nvidia delivered another blockbuster quarter, reporting $81.6B in revenue, up 85% year-over-year, as demand for AI infrastructure continues to surge.
🔹 AI data center spending remains at record levels
🔹 Bitcoin miners are increasingly leveraging power capacity and infrastructure for AI workloads
🔹 New revenue streams could reduce dependence on mining rewards alone
As AI and crypto infrastructure continue to converge, some mining companies may be positioned to benefit from both trends simultaneously.
👀 Could AI become a bigger growth driver for Bitcoin miners than Bitcoin itself?
$BTC
#Nvidia's
JUST IN: NVIDIA ($NVDA) posted a massive Q1 revenue of $81.6 billion, beating Wall Street expectations once again.
The company also issued stronger-than-expected Q2 guidance, signaling that AI demand remains extremely strong and NVIDIA continues to dominate the sector. 🚀
#Nvidia's $BTC
The company also issued stronger-than-expected Q2 guidance, signaling that AI demand remains extremely strong and NVIDIA continues to dominate the sector. 🚀
#Nvidia's $BTC
✅🚀 NVIDIA just crushed it again!
Q1 FY2027:
💰 Revenue $81.62B (beat ~$79B)
📈 EPS $1.85 (beat ~$1.76)
Massive beat on both revenue and earnings — the demand for AI is unstoppable! 🔥
#NVIDIA #IA #Nvidia's #Inversiones #tecnología $NVDA
Q1 FY2027:
💰 Revenue $81.62B (beat ~$79B)
📈 EPS $1.85 (beat ~$1.76)
Massive beat on both revenue and earnings — the demand for AI is unstoppable! 🔥
#NVIDIA #IA #Nvidia's #Inversiones #tecnología $NVDA
The chart shows an excellent bullish structure for **Grass (GRASS)**, trading at **$0.5958** after a strong rally that broke through the previous consolidation zone around $0.30 - $0.35.
Here’s the technical breakdown and the key news that’s driving this movement:
The AI Narrative Momentum and the "Nvidia Effect"
The main market catalyst for the crypto sector focused on Artificial Intelligence (AI) and **DePIN** (Decentralized Physical Infrastructure Networks) has been the recent earnings report and massive revenue projections from **Nvidia**. As the largest chip manufacturer for AI, their stellar financial results have reignited the AI token narrative, directly benefiting projects like Near Protocol (NEAR) and Grass (GRASS).
AI Data Layer
Within the crypto ecosystem, Grass is strongly establishing itself as a favorite among investors for the collection and verification of training data for AI models.
Surge in Open Interest and Liquidations
The technical movement was accompanied by strong institutional and retail backing:
* **Volume Increase:** The Open Interest (OI) in GRASS perpetual futures contracts has nearly doubled in recent days, surpassing $40 million. This shows that traders are injecting fresh capital to support the trend.
* **Short Liquidation:** Breaking the psychological resistance at **$0.45** and then **$0.50** triggered a cascade of short position liquidations (short squeeze), which organically accelerated the price vertically towards the **$0.59** range.
airdrop of GRASs👇
https://app.grass.io/register?referralCode=c67M9sBlQ6Oxu3_
#grass #GRASSAirdrop #Nvidia's #IA #Near
$GRASS
Here’s the technical breakdown and the key news that’s driving this movement:
The AI Narrative Momentum and the "Nvidia Effect"
The main market catalyst for the crypto sector focused on Artificial Intelligence (AI) and **DePIN** (Decentralized Physical Infrastructure Networks) has been the recent earnings report and massive revenue projections from **Nvidia**. As the largest chip manufacturer for AI, their stellar financial results have reignited the AI token narrative, directly benefiting projects like Near Protocol (NEAR) and Grass (GRASS).
AI Data Layer
Within the crypto ecosystem, Grass is strongly establishing itself as a favorite among investors for the collection and verification of training data for AI models.
Surge in Open Interest and Liquidations
The technical movement was accompanied by strong institutional and retail backing:
* **Volume Increase:** The Open Interest (OI) in GRASS perpetual futures contracts has nearly doubled in recent days, surpassing $40 million. This shows that traders are injecting fresh capital to support the trend.
* **Short Liquidation:** Breaking the psychological resistance at **$0.45** and then **$0.50** triggered a cascade of short position liquidations (short squeeze), which organically accelerated the price vertically towards the **$0.59** range.
airdrop of GRASs👇
https://app.grass.io/register?referralCode=c67M9sBlQ6Oxu3_
#grass #GRASSAirdrop #Nvidia's #IA #Near
$GRASS
🚨 ATTENTION NVIDIA URGENT
$BTC #Nvidia's #BTC
*Today in the late afternoon from 5:20 PM to 6:00 PM, we'll have NVIDIA's earnings report, and this will move the market either positively or negatively!
*So anyone with an open position should set their stops, take partials because the scenario can flip quickly on both sides*
$BTC #Nvidia's #BTC
*Today in the late afternoon from 5:20 PM to 6:00 PM, we'll have NVIDIA's earnings report, and this will move the market either positively or negatively!
*So anyone with an open position should set their stops, take partials because the scenario can flip quickly on both sides*
Unverified content
📈 #Hyperliquid hit a record of USD 3 billion in open interest for real-world assets #RWA , with a jump of 1,200% this year. The top assets include S&P 500, stocks of #Nvidia's and #Petroleum
$HYPE
$HYPE
🔥 Global markets are entering a critical phase right now…
Gold pulling back while tech stocks struggle under pressure is a reminder that global markets move in cycles. 📉📈
Personally, I believe this dip in gold is not the end of the bull market but a healthy correction before another major move higher. Central banks are still buying gold, inflation risks remain alive, and global uncertainty continues to support safe-haven assets. 🪙✨
At the same time, AI-driven tech giants like NVIDIA and Microsoft still look stronger than many overhyped companies trading only on speculation. The real winners will be businesses with actual revenue growth and long-term dominance. 🚀
Crude oil will also stay highly volatile as geopolitical tensions and supply concerns continue shaping the next commodity cycle. Energy markets could surprise many investors in the coming months. 🛢️🌍
What’s your outlook on gold, oil, and the Mag 7 stocks? 👀
#PostonTradFi #Gold #Stocks #Oil #Nvidia's #Microsoft
Gold pulling back while tech stocks struggle under pressure is a reminder that global markets move in cycles. 📉📈
Personally, I believe this dip in gold is not the end of the bull market but a healthy correction before another major move higher. Central banks are still buying gold, inflation risks remain alive, and global uncertainty continues to support safe-haven assets. 🪙✨
At the same time, AI-driven tech giants like NVIDIA and Microsoft still look stronger than many overhyped companies trading only on speculation. The real winners will be businesses with actual revenue growth and long-term dominance. 🚀
Crude oil will also stay highly volatile as geopolitical tensions and supply concerns continue shaping the next commodity cycle. Energy markets could surprise many investors in the coming months. 🛢️🌍
What’s your outlook on gold, oil, and the Mag 7 stocks? 👀
#PostonTradFi #Gold #Stocks #Oil #Nvidia's #Microsoft
The era of "one-size-fits-all" in macro markets is completely fracturing right now. If you are watching traditional finance look at how wildly the traditional benchmarks are splitting open.
Take a look at the Magnificent 7. We are seeing a massive divergence at the highs. The monolithic "AI lift all boats" narrative is dead. On one side, you have immediate monetization plays like Alphabet and Meta scaling new heights on lean, high-margin software efficiency. On the flip side, heavyweights with ballooning infrastructure costs and physical-world dependencies—like Microsoft, #Nvidia's , and Tesla—have faced serious pressure, caught in what analysts are calling the AI "CapEx Trap." Is the broader market finally shifting its center of gravity away from the tech few and toward the defensive many?
Meanwhile, look at commodities. Gold recently pulled back roughly 16% from its January highs of over $5,500, consolidating down near the $4,500-$4,600 range. While short-term hawkish macro headwinds and a firm dollar are weighing on momentum, the structural demand from central banks hasn't gone anywhere. Is this a healthy buy-the-dip window for a multi-year bull run, or a sign of a deeper cycle peak?
With physical crude oil highly volatile following recent Middle East supply and Strait of Hormuz infrastructure shocks, the line between hardware tech dominance and physical assets is completely blurring. Traditional finance is giving us one of the most asymmetric macro setups in recent history.
What’s your ultimate stalwart in this environment, and what is pure hype? Are you buying the precious metals dip, or rotating into energy? Drop your macro outlook below!
#PostonTradFi
Take a look at the Magnificent 7. We are seeing a massive divergence at the highs. The monolithic "AI lift all boats" narrative is dead. On one side, you have immediate monetization plays like Alphabet and Meta scaling new heights on lean, high-margin software efficiency. On the flip side, heavyweights with ballooning infrastructure costs and physical-world dependencies—like Microsoft, #Nvidia's , and Tesla—have faced serious pressure, caught in what analysts are calling the AI "CapEx Trap." Is the broader market finally shifting its center of gravity away from the tech few and toward the defensive many?
Meanwhile, look at commodities. Gold recently pulled back roughly 16% from its January highs of over $5,500, consolidating down near the $4,500-$4,600 range. While short-term hawkish macro headwinds and a firm dollar are weighing on momentum, the structural demand from central banks hasn't gone anywhere. Is this a healthy buy-the-dip window for a multi-year bull run, or a sign of a deeper cycle peak?
With physical crude oil highly volatile following recent Middle East supply and Strait of Hormuz infrastructure shocks, the line between hardware tech dominance and physical assets is completely blurring. Traditional finance is giving us one of the most asymmetric macro setups in recent history.
What’s your ultimate stalwart in this environment, and what is pure hype? Are you buying the precious metals dip, or rotating into energy? Drop your macro outlook below!
#PostonTradFi
📊 $BILL is currently trading near a strong support zone after a heavy dump. If buyers defend the 0.09800 – 0.10500 area, a bullish recovery toward 0.13500, 0.15500 and higher targets is possible. Market volatility is still high, so proper risk management and low leverage are recommended. A break below 0.08500 may increase bearish pressure.
🎯 BILLUSDT Targets:
• TP1 — 0.13500
• TP2 — 0.15500
• TP3 — 0.17500
• TP4 — 0.20500
• TP5 — 0.23700
🛑 Stop Loss: 0.08500
📍 Buy Zone: 0.09800 – 0.10500
#BILL #Nvidia's #BinanceSquareTalks #BinanceSquareFamily
🎯 BILLUSDT Targets:
• TP1 — 0.13500
• TP2 — 0.15500
• TP3 — 0.17500
• TP4 — 0.20500
• TP5 — 0.23700
🛑 Stop Loss: 0.08500
📍 Buy Zone: 0.09800 – 0.10500
#BILL #Nvidia's #BinanceSquareTalks #BinanceSquareFamily
$NVDA Jensen Huang ditched his signature leather jacket for a sharp suit and joined President Trump’s trip to China.
In a positive development, the U.S. Commerce Department has approved licenses for about 10 major Chinese companies including Alibaba, Tencent, ByteDance, and JD.com to purchase NVIDIA’s powerful H200 AI chips. Distributors like Lenovo and Foxconn have also been cleared. Each buyer can acquire up to 75,000 chips.
While these approvals are a welcome step, no shipments have been made yet. Chinese firms are proceeding cautiously, prioritizing domestic AI alternatives amid ongoing negotiations. Jensen’s presence in Beijing highlights just how vital the Chinese market remains for NVIDIA.$NVDA
$NVDAon
#Nvidia's #chip #GPU #USChinaTrade
In a positive development, the U.S. Commerce Department has approved licenses for about 10 major Chinese companies including Alibaba, Tencent, ByteDance, and JD.com to purchase NVIDIA’s powerful H200 AI chips. Distributors like Lenovo and Foxconn have also been cleared. Each buyer can acquire up to 75,000 chips.
While these approvals are a welcome step, no shipments have been made yet. Chinese firms are proceeding cautiously, prioritizing domestic AI alternatives amid ongoing negotiations. Jensen’s presence in Beijing highlights just how vital the Chinese market remains for NVIDIA.$NVDA
$NVDAon
#Nvidia's #chip #GPU #USChinaTrade
🔥 $NVDA — The King of AI Is Still Standing 🛑🛑🛑
You can trade NVDA as a tokenized stock. But whether you're in equities or crypto, you need to know this name.
NVIDIA generated $215.9 billion in total revenue in fiscal 2026 — a 65% jump from the prior year. The data center segment alone accounted for $193.7 billion of that revenue. (The Motley Fool) This isn't hype. It's hardware.
Why $NVDA isn't done yet:
🧠 Nvidia dominates the market for data center GPUs and high-speed networking — the two key pillars accelerating AI.
Its CUDA software platform is the industry standard in AI development. (The Motley Fool)
📈 Management forecasted $78 billion in Q1 FY2027 revenue — a 77% growth rate — with Wall Street expecting further acceleration to 85% in Q2. (The Motley Fool)
🎯 Wall Street targets range from $250 to $325. DBS raised its target to $250, Bernstein holds $300, and Rosenblatt sits at $325. (Yahoo Finance)
The risk side:
⚠️ Investors are worried that AI spending is unsustainable. The Iran conflict has pushed oil prices to multiyear highs, making rate cuts less likely. (The Motley Fool)
⚠️ NVDA peaked at $216.87 on April 27 and pulled back ~8%. A bull flag is forming — continuation or breakdown is the key question right now. (Yahoo Finance)
NVDA is the backbone of the AI supercycle. But entry price matters. Don't ignore the technicals.
📌 Not financial advice. DYOR.
#Nvidia's #NVIDIABlackwell #Write2Earn #Binance #stocks $NVDA
You can trade NVDA as a tokenized stock. But whether you're in equities or crypto, you need to know this name.
NVIDIA generated $215.9 billion in total revenue in fiscal 2026 — a 65% jump from the prior year. The data center segment alone accounted for $193.7 billion of that revenue. (The Motley Fool) This isn't hype. It's hardware.
Why $NVDA isn't done yet:
🧠 Nvidia dominates the market for data center GPUs and high-speed networking — the two key pillars accelerating AI.
Its CUDA software platform is the industry standard in AI development. (The Motley Fool)
📈 Management forecasted $78 billion in Q1 FY2027 revenue — a 77% growth rate — with Wall Street expecting further acceleration to 85% in Q2. (The Motley Fool)
🎯 Wall Street targets range from $250 to $325. DBS raised its target to $250, Bernstein holds $300, and Rosenblatt sits at $325. (Yahoo Finance)
The risk side:
⚠️ Investors are worried that AI spending is unsustainable. The Iran conflict has pushed oil prices to multiyear highs, making rate cuts less likely. (The Motley Fool)
⚠️ NVDA peaked at $216.87 on April 27 and pulled back ~8%. A bull flag is forming — continuation or breakdown is the key question right now. (Yahoo Finance)
NVDA is the backbone of the AI supercycle. But entry price matters. Don't ignore the technicals.
📌 Not financial advice. DYOR.
#Nvidia's #NVIDIABlackwell #Write2Earn #Binance #stocks $NVDA
🚨 HUGE: Google eyes custom AI chips with Marvell Technology 🤖
What is happening? $PEPE
• Google in talks to build new AI inference chips
• Focus on serving models efficiently at scale (post-training) $ENJ
• Partnership with Marvell for design/manufacturing support $SUI
• Reported by The Information
What this suggests:
• Big Tech moving toward vertical integration in AI hardware
• Shift from training → inference optimization (cost + scale)
• Increasing competition with NVIDIA
Context:
• Inference = where real revenue happens (serving AI to users)
• Custom chips can drastically reduce costs vs general GPUs
📊 Market takeaway:
Bullish for AI infrastructure, but competitive pressure rising. NVIDIA remains dominant—but hyperscalers building their own chips could reshape margins and market share over time.
#Google #AI #Nvidia's
What is happening? $PEPE
• Google in talks to build new AI inference chips
• Focus on serving models efficiently at scale (post-training) $ENJ
• Partnership with Marvell for design/manufacturing support $SUI
• Reported by The Information
What this suggests:
• Big Tech moving toward vertical integration in AI hardware
• Shift from training → inference optimization (cost + scale)
• Increasing competition with NVIDIA
Context:
• Inference = where real revenue happens (serving AI to users)
• Custom chips can drastically reduce costs vs general GPUs
📊 Market takeaway:
Bullish for AI infrastructure, but competitive pressure rising. NVIDIA remains dominant—but hyperscalers building their own chips could reshape margins and market share over time.
#Google #AI #Nvidia's
🧑💻 A NVIDIA survey reveals that 64% of companies are actively leveraging AI in their operations.
#Nvidia's #AI #Market_Update #TrendingTopic #InteligenciaArtificia $NVDA $NVDAon
@Cointelegraph @CoinDesk @CoinMarketCap @OneWif_G 1
#Nvidia's #AI #Market_Update #TrendingTopic #InteligenciaArtificia $NVDA $NVDAon
@Cointelegraph @CoinDesk @CoinMarketCap @OneWif_G 1
BIG: Nvidia is now worth more than entire Indian Stock Market.#IndiaCryptoDreams #Nvidia's #IndianMarkets #Marketupdates
$BTC $ETH $BNB
$BTC $ETH $BNB
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