$CLS 0.51 Developing

Notable posts

• @StockSavvyShay neutral 1587 eng

  THE NEW AI INFRASTRUCTURE STACK Piper Sandler mapped the new AI infrastructure stack across 8 layers from the power grid all the way to the agent as AI scaling creates bottlenecks across power, cooling, networking, storage, cloud & inference: Layer 1 | Power, Grid & Real Estate • $NEE building renewable power backbone hyperscalers need to scale AI • $CEG monetizing 24/7 nuclear power AI data centers increasingly require • $TLN building behind the meter nuclear power model for AI campuses • $IREN turning scarce power & interconnects into hyperscale AI capacity • $DLR owning physical real estate underneath global AI infrastructure • $EQIX owning interconnection layer where AI networks & clouds meet Layer 2 | Physical Datacenter, Shell & Cooling • $VRT building 800V DC powertrain needed for next jump in AI rack density • $SMCI assembling liquid cooled rack systems that turn GPUs into usable compute Layer 3 | Silicon & Hardware • $NVDA building compute platform underneath AI economy • $AMD building second full stack accelerator platform at hyperscale • $AVGO designing custom AI silicon behind Google TPUs & Meta MTIA as hyperscalers move deeper into proprietary compute • $GOOGL turning TPUs from an internal advantage into a hardware business sold directly into customer data centers • $INTC turning 14A into a real external foundry business with $TSLA as an anchor customer and its largest reported foundry deal yet • $ARM moving into full server CPUs & capturing the full value of the chip instead of dollars per core Layer 4 | Scale Up & Scale Out Networking • $ANET building Ethernet backbone connecting hyperscale AI clusters • $CSCO extending enterprise networking into AI data center fabric • $CLS manufacturing physical networking hardware connecting AI clusters Layer 5 | High Performance Storage • $PSTG using DirectFlash to reclaim power & rack space for AI infrastructure • $DELL bundling servers & storage into an integrated enterprise AI stack • $NTAP connecting enterprise data estates to cloud AI workloads • $HPE bringing enterprise storage into an infrastructure as a service model Layer 6 | Orchestration & Workloads • $IBM turning Red Hat OpenShift into enterprise control plane for private & hybrid AI deployments • $NTNX bringing AI infrastructure stack into private & on prem environments Layer 7 | GPUaaS & Cloud • $CRWV proving GPU residual value with fully priced A100 capacity contracted through 2029 • $NBIS building an AI cloud around 5GW of contracted power with customers prepaying 50% of capex • $DOCN bringing AI compute & inference below hyperscale cloud layer • $MSFT turning Azure into one of largest distribution layers for AI compute • $AKAM pushing AI inference closer to where users consume it • $AMZN monetizing AI through hyperscale cloud infrastructure & its own silicon • $ORCL building AI cloud capacity against a heavily concentrated backlog of large customer commitments Layer 8 | Model Execution, Tokens & Agents • $NET becoming distribution layer between AI agents and the internet as non human traffic crosses more than 50% of its network • $FSLY moving inference closer to the end user through edge compute

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• @cevikfinance bullish 501 eng

  Böyle sert düşen günler sağlam şirketlere uzun vadeli eklemeler yapmak için harika fırsatlar. İşte bu sağlam şirketlere bazı örnekler: $MU $AMD $TSM $GEV $CRDO $ALAB $MRVL $ASML $AVGO $CEG $VST $ANET $VRT $TER $FIX $PWR $CLS $LLY $PLTR $NBIS $SOFI $HOOD $APP $COHR $RKLB $GLW $LRCX $BE $DELL Yatırım tavsiyesi değildir, her zaman kendi araştırmanızı yapınız!

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• @Venu_7_ bullish 271 eng

  The market is quietly preparing for its next major window of opportunity. Why I think we’re getting close: - Nearly 4 months of consolidation - Breadth has continued to weaken - Sentiment has been terrible - More leaders are quietly building solid bases Pay attention to the leaders and ignore the noise for the next couple of months. AI Infra / Semis: $NBIS $SMTC $ASX $MXL $INTC $BE $GLW $ANET $APH $COHU $MRVL $AMD $NVDA $MU $SNDK $NTAP $FORM $IMOS $VIAV $CLS $KEYS $SKHY $VICR $HPQ $HPE $DELL $TER Software / AI: $SHOP $ZETA $CRM $NOW $PLTR $ABNB $FIVN $TEAM $TWLO $FROG $U $SNOW $DDOG Cybersecurity / Cloud: $CRWD $NET $FTNT $PANW $RBRK $S Crypto: HOOD MSTR IBIT ETHA COIN CRCL Do the homework now. When the window opens, you want to be ready to capitalize.

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• @Venu_7_ bullish 185 eng

  $META is breaking out and MUSE has been the hottest AI agent lately. But who actually gets paid from Meta’s massive AI buildout? $NVDA - $11.2B $SKHY - $4.6B $AVGO - $2.4B $CLS - $1.9B $AMD - $1.7B $WDC - $1.5B Follow where the AI dollars are flowing. https://t.co/xkC4hxhwJV

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• @Venu_7_ bullish 163 eng

  Want to find potential market leaders BEFORE their major moves? Study CAN SLIM. CAN SLIM is one of my favorite frameworks for finding potential market leaders, introduced by legendary William O’Neil. C - Current earnings growth A - Annual earnings growth N - New products, catalysts or new highs S - Supply + demand L - Leaders, not laggards I - Institutional sponsorship M - Market direction I spent some time screening AI + Tech names using this framework, while also looking for strong relative strength + stocks still building bases rather than chasing extended breakouts. A few names on my radar: $NVDA $ANET $PLTR $CRWD $MU $RBRK $NET $FTNT $PANW $LITE $SMTC $AMD $CLS $NOW $SNOW $DDOG $CRDO $FORM $HPE $COHU $VICR $FPS $IMOS $ASML $TSM Not every name will check every CAN SLIM box at the same time - and even the best company can be a bad entry if you’re chasing it after a major move. The real edge is finding companies where earnings are accelerating + relative strength is improving + institutions are accumulating while the stock is still building a healthy base. That’s when I want the name on my radar Fundamentals tell me WHAT to own. Technicals tell me WHEN to build the position.

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• @Venu_7_ bullish 160 eng

  Few Semi/Hardware names setting up for the next leg higher: $CLS - Trying to break the downtrend here while reclaiming all KMA's backed by Strong Earnings $TSEM - One of the few optics names that held the pullback and brokeout of downtrend and looks very strong! $AAOI - multiple inside days and if we get a close above ATH's VWAP at $150, we have room towards $200 $CRDO - one more AI connectivity name with Strong RS and ready to make new ATH's

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• @Venu_7_ bullish 150 eng

  Double bottoms & trendline breakouts showing up across semis. $CLS $WDC $LRCX $DOCN https://t.co/tk3GP19auA

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• @Venu_7_ bullish 147 eng

  Semiconductor names have gone through one of the biggest resets in this correction. The majority of these names are now testing their 200-day moving averages while continuing to post strong earnings beats and, in many cases, raised guidance. Technically, the charts are still damaged and will need time to repair. But the important thing is that many are holding their 200-day moving averages which is a very important level. Fundamentally, If you look at EPS growth estimates over the next 2-3 years, semiconductor names still have some of the strongest growth in the market and remain the biggest beneficiaries of the AI infrastructure boom. $NVDA $AVGO $FORM $CLS $CRDO $ALAB $COHR $LITE $COHR $MRVL $LRCX $AMD $TSM $BE $MU $SNDK $DRAM $VSH $TSEM $VICR $ANET $APH $GLW $DELL $HPQ

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