$ANET 0.36 Noisy

Notable posts

• @StockSavvyShay neutral 1956 eng

  SEMICONDUCTOR STOCKS BY PEG RATIO PEG < 1 usually means mispriced growth PEG > 2 starts to push into the danger zone Here’s how they stack up: • $ALAB ~2.9x • $ARM ~2.4x • $INTC ~2.2x • $LRCX ~2.2x • $KLAC ~2.0x • $AMAT ~1.7x • $ASML ~1.7x • $ANET ~1.7x • $TSM ~1.2x • $LITE ~1.1x • $COHR ~1.0x • $CRDO ~0.9x • $NVDA ~0.8x • $AMD ~0.7x • $AAOI ~0.7x • $MRVL ~0.6x • $ON ~0.6x • $AVGO ~0.6x • $SNDK ~0.4x • $MU ~0.4x

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• @StockSavvyShay neutral 1293 eng

  SEMICONDUCTOR STOCKS BY PEG RATIO PEG < 1 usually means mispriced growth PEG > 2 starts to push into the danger zone Here’s how they stack up: • $LRCX ~2.3x • $ALAB ~2.1x • $INTC ~1.9x • $ANET ~1.8x • $ARM ~1.6x • $KLAC ~1.3x • $AMAT ~1.2x • $ASML ~1.0x • $TSM ~0.9x • $AMD ~0.7x • $NVDA ~0.7x • $CRDO ~0.6x • $COHR ~0.6x • $LITE ~0.5x • $AVGO ~0.5x • $MRVL ~0.5x • $AAOI ~0.4x • $ON ~0.4x • $SNDK ~0.2x • $MU ~0.2x • $SKHY ~0.1x

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• @StockSavvyShay neutral 1250 eng

  THE MOST PROFITABLE AI SEMICONDUCTOR STOCKS Operating margin breakdown: • Best-in-class (50%+) | $MU, $NVDA, $SKHY, $TSM • Elite (40–49%) | $ANET, $AVGO, $KLAC, $SNDK • Strong (30–39%) | $ASML, $LRCX, $CRDO, $WDC • Healthy (20–29%) | $AMAT, $ALAB • Solid (Below 20%) | $ARM, $MRVL, $AMD, $COHR, $LITE, $ON

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• @StockSavvyShay neutral 1228 eng

  SEMICONDUCTOR STOCKS BY PEG RATIO PEG < 1 usually means mispriced growth PEG > 2 starts to push into the danger zone Here’s how they stack up: • $ALAB ~3.6x • $INTC ~2.7x • $LRCX ~2.6x • $KLAC ~2.4x • $AMAT ~2.2x • $ARM ~1.9x • $ASML ~1.7x • $ANET ~1.7x • $LITE ~1.1x • $TSM ~1.1x • $COHR ~1.0x • $AMD ~0.8x • $CRDO ~0.7x • $NVDA ~0.7x • $MRVL ~0.6x • $AAOI ~0.6x • $AVGO ~0.5x • $ON ~0.4x • $MU ~0.2x • $SNDK ~0.2x

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• @StockSavvyShay bullish 1116 eng

  NEXT WEEK’S EARNINGS ARE MASSIVE FOR GROWTH • Monday | $PLTR, $CLPT, $ON, $GRAB, $SNAP, $WGS, $VOYG • Tuesday | $AMD, $SPCX, $CIFR, $ZETA, $ANET, $ALAB, $TMDX, $KTOS, $DOCN, $HUT, $OPEN, $PRCT • Wednesday | $SNDK, $APP, $IONQ, $MELI, $UBER, $SHOP, $EOSE, $OSS, $VPG, $DUOL, $FIG, $SYM, $RDW, $FLNC, $VIAV • Thursday | $CELH, $DDOG, $OSCR, $NET, $TTD, $U, $QBTS, $AAOI, $RCAT, $TEAM, $OUST, $SHAZ • Friday | $OKLO, $VST

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• @StockSavvyShay neutral 747 eng

  THE $NVDA VERA RUBIN SUPPLY CHAIN BREAKDOWN Nvidia’s Vera Rubin is ramping into full-scale production and reshaping the AI rack bill of materials in three major ways: more HBM per rack, a shift from pluggable to co-packaged optics and the move to 800VDC power. Here are the companies positioned to capture each transition: Memory Storage (content-per-rack story) • $MU, $SNDK, $SKHY and Samsung sit at the memory and storage layer as next-gen AI systems require more bandwidth, more capacity and faster data access. Advanced Packaging (bottleneck that gates everything) • Foundry / packaging: $TSM, $AMKR, $INTC • Packaging equipment: $AMAT, $LRCX, $KLAC, $ASML • Test / validation: $TER, $AEHR • Substrates / materials: $TTMI Optical Communication (CPO transition) • Optical modules: $COHR, $LITE, $AAOI • CPO / switching chips: $AVGO, $NVDA, $MRVL • High-speed connectivity: $CRDO, $ALAB • Fiber / networking: $GLW, $NOK, $CSCO, $ANET • Silicon photonics / packaging: $TSM, $GFS, $TSEM 800VDC Power Supply (architecture shift) • Wide-bandgap semis: $STM, $ON, $NVTS, $POWI, $WOLF • Power management / hardened devices: $MPWR, $ADI, $TXN, $AOSL, $VICR, $MCHP • Motherboard / connector / power module: $FLEX, $APH, $TEL • Infrastructure / power delivery: $VRT, $ETN, $GEV Compute System (integrators) • $DELL, $HPE, $SMCI provide the system-level integration layer that turns all of these components into deployable AI infrastructure.

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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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• @StockSavvyShay bullish 425 eng

  THE 5 BIGGEST BOTTLENECKS POWERING THE AI ECONOMY The way I'm thinking about AI winners today is that the market is moving beyond the simple question of which mega-cap company spends most on AI and has been rewarding the companies that control the scarce inputs, contracted capacity, data movement, power infrastructure, edge compute and workflow layers that make the AI economy function. These are the five bottlenecks I'm watching most: • Memory | $MU, Samsung, SK Hynix Memory is the clearest scarce input because HBM feeds the accelerator, only a few companies can make it at volume and buyers are locking in supply through long-term agreements that create revenue visibility through the end of the decade. • Connectivity | $AVGO, $MRVL, $ALAB, $CRDO, $AAOI, $ANET Connectivity determines whether AI clusters can move data fast enough because training runs span tens of thousands of chips that need to act like one machine. Once copper runs out of reach that causes the cluster depends on optics, retimers, switches and custom silicon to keep the system moving. • Power | $CEG, $VST, $GEV, $FPS, $VRT, $NVTS, $TLN, $ON Power determines whether new AI data centers can actually come online because the binding constraint is shifting from getting chips to getting megawatts so the value flows to the companies that control generation, grid equipment, power delivery, thermal management and efficiency. • Compute | $NBIS, $CIFR, $IREN, $APLD, $WULF, $CORZ, $CRWV Compute capacity is overflow layer when hyperscalers are sold out. Capital alone doesn't guarantee GPU access which is why buyers are signing multi-year contracts for clusters before they are even fully built. • CPU | $NVDA, $AMD, $INTC, $ARM, $QCOM On-device CPU (edge compute) becomes next bottleneck as AI moves into inference, agents, PCs, phones, vehicles and physical devices.

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