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InvestmentGuru

@investmentguru_Long Research41.8k followers

InvestmentGuru

@investmentguru_Long Research41.8k followers

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$SNDK· Sandisk

80 mentions since Dec 2025calls only

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@investmentguru_ produced 3,608 posts over the past 12 months containing 12,145 cashtag mentions across 1,000 distinct tickers. The most frequently mentioned ticker was $MU with 273 mentions, followed by $ONDS with 270 mentions, $RKLB with 259 mentions, $ASTS with 236 mentions, and $NVDA with 211 mentions. The account's most recent activity includes posts from July 9, 2026, spanning a range of sectors from semiconductors to infrastructure and biotech.

AI-generated from tracked posts · updated Jul 9, 2026

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@investmentguru_Jul 10, 2026 · 10:38 AM

$SKHY just priced the largest-ever U.S. IPO by a foreign company — here’s the breakdown: The deal: 177.9M ADRs priced at $149 each, raising ~$26.5B . Why it’s huge: This tops Alibaba’s $25B 2014 IPO to become the biggest foreign listing in U.S. history, and the second-largest IPO ever in the U.S. after $SPCX’s $85.7B offering. Demand: Order book was oversubscribed ~7x, with indicated interest from top institutions (Baillie Gifford, Coatue, sovereign wealth funds) reportedly approaching $200B against a $26.5B deal. Timeline: •July 10 (today): when-issued trading begins under $SKHYV •July 13 (Monday): regular trading starts under $SKHY on Nasdaq •July 14: offering officially closes The thesis: Proceeds are earmarked for AI infrastructure buildout — the Yongin Semiconductor Cluster fab, advanced packaging (P&T7), and HBM capacity expansion. This slots directly into your Silicon-to-Substation memory/HBM pillar alongside $MU and $SNDK. Watch for: Pricing was set at only a ~3% premium to the Korean shares despite the wild demand — some analysts (UBS) are flagging a cross-listing arbitrage angle between the KOSPI shares and the new ADRs once trading opens.

@investmentguru_Jul 9, 2026 · 11:58 PM

Bullish Calls Return to AI Semis: $MU, $SNDK, $AMD, $AVGO & $NVDA

@investmentguru_Jul 9, 2026 · 1:06 PM

MORNING MOVERS Semis roaring back — AI demand + easing geopolitical fears lighting a fire under the whole space: GAPPING UP $MU +6.7% — $3B US supply-chain investment $KLAC +5.8% — MS upgrade to Buy, TD Cowen PT $260 $AMAT +5.7% — analyst hikes + China easing H200 curbs $SNDK +5.5% — Wedbush PT $2000, Outperform $LRCX +5.4% — MS reiterates Buy, PT $404 $INTC +5.0% — semis ETF inflows $ARM +4.3% — sector strength $AVGO +3.7% — $30B Apple custom chip deal thru 2031 $AMD +3.6% — GS reiterates Buy, PT $640 $GEV +3.4% — SMR deal w/ Hitachi (Europe) $MARA +4.0% — Texas powered facility acquisition (HIF) GAPPING DOWN $AZN -7.7% — Wainua Phase 3 miss (cardio endpoint) $IBM -4.5% / $MSFT -1.9% — Starbucks building in-house AI, cutting reliance $CRM -4.4% — KeyBanc downgrade, Agentforce skepticism $NOW -4.2% — GS cuts PT to $145 ahead of Q2 $META -3.8% — in-house Iris AI chip prod. starts Sept, 14GW compute by 2027 $ADBE -3.3% — BofA downgrade to Underperform, GenAI competition risk $FIG -3.1% — JPM cuts PT to $28 Semiconductor supply chain (WFE, memory, foundry) getting a broad-based bid — this lines up with the Silicon-to-Substation thesis. Enterprise SaaS ($CRM, $NOW, $ADBE) facing real “AI eats software” pressure as hyperscalers build in-house.

@investmentguru_Jul 8, 2026 · 2:04 PM

Rotation back to AI infrastructure play $MU $SNDK $NBIS $CRDO $MRVL $AVGO $MRVL $CRWV

@investmentguru_Jul 7, 2026 · 10:31 AM

Silicon-to-Substation: 5 Themes Built for the Long Run Photonics / Optical Interconnects The bottleneck is shifting from compute to data movement. Co-packaged optics fixes that. $POET $LWLG $SIVEF $AAOI $AXTI $IQEPF $COHR Memory AI models are starving for bandwidth. HBM and next-gen memory are the unlock. $MU $SNDK $MRVL $CRDO $AMD $INTC Energy / Power Data centers need power that scales faster than the grid can build it. Nuclear and baseload energy step in. $OKLO $SMR $NNE $CEG $TE NeoCloud The new compute layer sitting between hyperscalers and startups. Capacity is the moat. $CRWV $NBIS $IREN $APLD $BTDR $KEEL $HIVE Physical AI / Robotics Intelligence is leaving the screen and entering the physical world. $SERV $OUST $AMBA $BB $JOBY $RR $CCXI The through-line: every layer feeds the next. Compute needs power. Power needs speed. Speed needs light. And all of it eventually walks off the screen and into the physical world. This is the stack we’re building around for the long run. Not financial advice.

@investmentguru_Jul 6, 2026 · 12:53 AM

Semis & AI Infra Stocks Rally Overnight Strong broad-based move across memory, optical, and semiconductor names in overnight trading. Memory / Storage $SNDK jumps ~10% $MU +7% $WDC +7% Semis / AI Hardware $AMAT +5%+ $GLW +5%+ $MRVL +5%+ $INTC +4% $ASML +4% Crypto-linked names $MSTR +6%+ $CRCL +5%+ risk appetite returning to AI infrastructure + memory cycle trade. Momentum is clearly rotating back into high-beta hardware.

@investmentguru_Jun 30, 2026 · 3:38 AM

Memory/ storage play will continue to be a winner in this market $MU $SNDK $INTC $AMD $ARM https://t.co/Yct3WaviHa

@investmentguru_Jun 29, 2026 · 12:23 AM

Overnight Movers: Optical communication rebounds: • $GLW +3% • $CRDO +2% Memory stocks continue to recover: • $MU • $SNDK • $WDC • $STX (All +1%+) $CBRS +6% after last week’s 22% selloff. $BE +6%, bouncing after yesterday’s 18% decline. Looks like buyers are stepping back into AI infrastructure, optical networking, and memory names after heavy profit-taking. Watch if the strength holds into the cash session.

@investmentguru_Jun 29, 2026 · 12:02 AM

AI semis trading at a discount — the PEG ratio doesn’t lie While everyone chases momentum, the growth-adjusted value is sitting right here: $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 Memory. Interconnects. Optical. The backbone of everything being built right now. The crowd is paying 3x+ PEG for the headline names. The patient capital is loading up down here. Accumulate on pullbacks. Hold with patience. Let time do the heavy lifting. Not financial advice.

@investmentguru_Jun 28, 2026 · 11:57 AM

The market just handed us a masterclass in thesis validation. The top performers of 2026 aren’t random. They’re a roadmap. Memory $SNDK. $MU. $WDC. Three names. One theme. The world needed storage and these companies delivered. The market rewarded them accordingly. Semiconductors $AXTI. $AAOI. $MRVL. $ARM. $INTC. $CRDO. $SMCI. $AMD. The silicon backbone of the AI buildout showed up — and showed out. Semiconductor Equipment & Testing $AEHR. $KLAC. $ONTO. $COHU. Because you can’t build the chips without testing them first. The enablers always get paid eventually. AI Infrastructure $DELL. $NBIS. $PENG. $CRWV. $IREN. $CLS. The picks-and-shovels layer printed. Clean Energy $BE $OKLO. $CEG. $FLNC. quietly joined the leaders board. The energy transition isn’t a story for tomorrow — it’s already in the returns. Synthetic Biology $TWST. $BEAM. DNA writing meets AI. One of the most underappreciated convergence plays on the board. Cloud & Developer Infrastructure $DOCN. $CFLT. $NET. $GTLB. Profitable. Growing. Underowned. The quiet compounder that snuck onto the leaderboard. ➡️ Memory ➡️ Semis & Equipment ➡️ AI Infrastructure ➡️ Clean Energy ➡️ Synthetic Biology ➡️ Cloud Infrastructure The Silicon-to-Substation thesis didn’t just play out on paper. It played out in portfolios. The leaders of the next leg are already hiding in plain sight. Not financial advice.

@investmentguru_Jun 25, 2026 · 11:55 PM

5 Semiconductor Stocks to Buy the Dips & Hold $MU — Micron Technology The HBM king. AI data centers can’t get enough DRAM and the supply-demand imbalance is getting worse. $MU just beat and raised — this is the floor of a multi-year cycle, not the ceiling. Every dip is a gift. $SNDK — SanDisk Pure-play NAND in a world starving for storage. $MU’s blowout lifted NAND sentiment across the board and Citi just raised their PT to $2,500. The memory supercycle runs through $SNDK. $WDC — Western Digital The OG storage giant now laser-focused on NAND and AI infrastructure. When $MU speaks, $WDC listens — and right now the message is bullish. Dips here are dip-buying events, not exit signals. $AMD — Advanced Micro Devices The compute layer to memory’s data layer. AI inference demand is accelerating and $AMD is taking share in the data center. A pullback in $AMD is just noise against a multi-year AI buildout. $INTC — Intel The highest-risk, highest-optionality name on this list. Turnaround in progress, foundry thesis intact, and the memory sector’s rising tide lifts all chip boats. Patient capital gets rewarded here. The AI infrastructure buildout doesn’t pause. It compounds. These 5 names give you exposure across memory, storage, and compute — the core of the Silicon-to-Substation stack. Buy the dips. Hold the thesis. Tune out the noise. Not financial advice.

@investmentguru_Jun 25, 2026 · 12:59 AM

AI and semiconductor stocks are surging globally after a strong night of earnings and guidance. $QCOM +14% after announcing a major push into AI data centers. $MU +14% following a strong earnings beat and bullish guidance, lifting the entire memory sector: • $WDC +13% • $SNDK +12% • $STX +9% Chipmakers are following higher: • $INTC +5% • $MRVL +4% • $AMD +3% • $TSM +3% The strength is spreading globally: 🇯🇵 Nikkei 225 +2%, with Kioxia +6% 🇰🇷 KOSPI +5%, led by SK Hynix +11% and Samsung +5% Micron’s results are providing another validation point for the AI infrastructure buildout, while Qualcomm’s data center ambitions add a new player to the AI compute race. Today’s market focus shifts from whether AI demand exists to which companies are best positioned to capture the next wave of spending.

@investmentguru_Jun 22, 2026 · 1:34 AM

Overnight trading shows some profit-taking across AI and mega-cap tech: 🔻 $SPCX -3%+ 🔻 $AMD -2% 🔻 $MRVL -1%+ 🔻 $NVDA -1%+ 🔻 $TSLA -1%+ 🔻 $GOOG -1%+ Meanwhile, memory stocks continue to show relative strength: 🟢 $MU +1% 🟢 $SNDK +1% This week all eyes are on $MU earnings. The next clue for the AI infrastructure cycle arrives soon.

@investmentguru_Jun 21, 2026 · 12:52 PM

AI INFRASTRUCTURE LEADERSHIP BOARD The Companies Building the Backbone of the AI Revolution Tier 1 — Core Compounders The foundation of AI infrastructure and the highest-conviction names powering the AI buildout. $MU • $SNDK • $ARM • $MRVL • $AMD • $LRCX • $DELL • $WDC • $TER Tier 2 — Photonics & Connectivity Backbone The critical networking and optical layer connecting AI clusters at scale. $ALAB • $AAOI • $NOK • $VIAV • $MXL • $FORM • $CRDO • $AXTI Tier 3 — Power & Physical Buildout AI needs electricity, transmission, cooling, and infrastructure before it can scale. $BE • $FPS • $STRL • $POWL • $VICR • $UCTT • $FLNC • $OKLO Tier 4 — NeoCloud & Compute Capacity The emerging AI cloud providers and compute infrastructure operators. $NBIS • $WULF • $DOCN • $CRWV • $WYFI • $CIFR • $IREN Tier 5 — Speculative & Edge Upside Higher-risk names with asymmetric upside tied to photonics, power efficiency, edge AI, and physical AI. $POET • $AEHR • $AMBQ • $NVTS • $OUST • $AMBA • $SIVEF The AI boom is no longer just about GPUs. The next phase of wealth creation is being driven by the companies building the entire AI ecosystem — memory, storage, networking, photonics, power, infrastructure, cloud capacity, and physical AI. Key Themes I’m Watching Through 2030 ✅ Memory & Storage ✅ Photonics & Optical Networking ✅ AI Connectivity & CXL ✅ Datacenter Power & Grid Infrastructure ✅ NeoCloud Expansion ✅ Physical AI & Robotics ✅ Semiconductor Equipment ✅ Edge AI & Low-Power Computing Follow the money, not the headlines. The biggest winners of the AI cycle won’t all be GPU companies — they’ll be the businesses enabling AI to scale. Not a financial advice

@investmentguru_Jun 20, 2026 · 1:53 PM

How to play memory super cycle ➡️ $MU / $SNDK — direct memory producers, pricing power = margin expansion ➡️ $WDC — enterprise HDD supply already booked out for 2026 ➡️ $ARW / $AVT — distributors holding inventory bought at old prices, selling at new ones = gross margin windfall ➡️ $TSM / $ASML / $LRCX — capex winners as fabs race to add capacity at every node

@investmentguru_Jun 19, 2026 · 12:04 AM

Real AI-memory supply squeeze, momentum can stay extreme for months. Not a sell signal — a momentum exhaustion signal. The market is pricing in flawless execution at a pace history rarely sustains. $SNDK $MU $AMD $INTC $ARM

@investmentguru_Jun 19, 2026 · 12:01 AM

New ATHs: • $INTC • $MRVL • $MU • $SNDK • $TSM Tech & Semis Continue to Lead the Market Higher Today’s rally was another reminder of where the money is flowing. Several semiconductor and infrastructure names pushed to new all-time highs, highlighting the strength of the AI-driven investment cycle. Standout Movers: • $SNDK +11.5% • $SMCI +10.4% • $MU +8.7% • $MRVL +7.3% • $TSM +6.9% • $AMD +4.9% • $WDC +4.8% • $NVDA +3.0% • $NBIS +2.1% The market continues to reward companies tied to AI infrastructure, memory, semiconductors, networking, storage, and data center expansion. The trend is your friend, and right now AI infrastructure remains one of the strongest themes in the market.

@investmentguru_Jun 18, 2026 · 3:19 PM

How to play it: ➡️ $MU / $SNDK — direct memory producers, pricing power = margin expansion ➡️ $WDC — enterprise HDD supply already booked out for 2026 ➡️ $ARW / $AVT — distributors holding inventory bought at old prices, selling at new ones = gross margin windfall ➡️ $TSM / $ASML / $LRCX — capex winners as fabs race to add capacity at every node

@investmentguru_Jun 18, 2026 · 12:55 AM

GLOBAL CHIP RALLY GOES PARABOLIC — SEMIS LEAD THE BREAKOUT Semiconductors and memory stocks are catching a strong overnight bid, with the entire AI supply chain moving in sync. US premarket strength: $WDC +4% $MU +4% $ARM ~+4% $MRVL +3%+ $INTC, $AMD, $SNDK ~+3% $NVDA, $AVGO, $TSM +1%+ Asia confirms the momentum: 🇰🇷 KOSPI hits a record high at the open (+~1%) $SK Hynix surges +4% to ATH after delivering 12-layer HBM4E samples Japan joins the move: $Nikkei 225 breaks above 71,000 for the first time ever What’s driving it? AI memory demand accelerating (HBM cycle tightening) Next-gen chip supply chain validation (Hynix HBM4E milestone) Broad risk-on flow into AI infrastructure + semis globally Market message is clear: This isn’t just a single-stock rally — it’s a full-stack semiconductor expansion phase across US + Asia. Momentum is now being led by: AI compute → memory → packaging → equipment → foundry ecosystem. Key watch: If this continues, semis are no longer just “AI trade”—they’re becoming the macro leadership group again. Chips don’t just run the market right now… they are the market.

@investmentguru_Jun 15, 2026 · 11:03 PM

$MU $SNDK $WDC $ON $MCHP It’s a Memory Supercycle

@investmentguru_Jun 15, 2026 · 8:16 PM

@investmentguru_Jun 14, 2026 · 9:58 PM

$MU $SNDK $WDC $ON $MCHP The AI Boom Isn’t Just GPUs — It’s a Memory Supercycle Chips Without Memory Are Useless Every conversation about AI infrastructure obsesses over compute — GPUs, TPUs, custom silicon. But none of that compute means anything without memory feeding it data fast enough to keep up. Think of memory as a pyramid. At the top: small, blazing-fast, expensive, power-hungry. At the bottom: massive, cheap, slow. Every layer solves a different problem, and every layer is now a bottleneck in the AI buildout. Layer 1 — SRAM: Speed This sits directly on the processor die — the fastest memory that exists, measured in nanoseconds. It’s the L1/L2/L3 cache your CPU or GPU pulls from constantly. Tiny capacity, enormous cost per bit, but without it your chip starves waiting on slower memory. Players: $STM $MCHP $IFX $ON Layer 2 — DRAM & HBM: Working Memory This is the system’s short-term memory — where active datasets and model weights live while being processed. For AI specifically, High Bandwidth Memory (HBM) is the critical sub-category: it sits stacked directly next to GPU dies (think Nvidia’s H100/B200, AMD’s MI300) and has become the single tightest supply constraint in the entire AI hardware chain. Players: $MU | SK Hynix | Samsung Layer 3 — SSD/NAND: Fast Persistent Storage Once compute is done, data needs to persist without power. SSDs bridge the gap — fast enough for active datasets, but durable when the system powers down. Critical for AI training pipelines that checkpoint constantly. Players: $SNDK Layer 4 — HDD: Cheap Massive Storage The foundation of the pyramid. Hyperscalers still need exabytes of cold storage for archived data, backups, and infrequently accessed datasets — and nothing beats HDD on cost-per-terabyte at scale. Players: $STX $WDC The Core Principle The closer memory sits to the chip, the faster it must be — and that speed comes at a steep price: smaller capacity, higher cost, more power draw. This is why AI data centers are now power-constrained as much as chip-constrained — every layer of this pyramid is being scaled simultaneously, and every layer draws electricity. Why This Matters Now The market has spent two years pricing in GPU demand. It’s only just starting to price in the memory supercycle underneath it — HBM shortages, DRAM price hikes, and NAND tightening are all converging at once. This is the “Silicon-to-Substation” thesis in miniature: every layer of the stack, from cache to cold storage to the power grid, is being repriced for an AI-scale world. Not financial advice.

@investmentguru_Jun 14, 2026 · 9:44 PM

$SNDK one of the craziest returns in this market https://t.co/VeG3hxX5BP

@investmentguru_Jun 14, 2026 · 9:40 PM

@CoffeeStocksGuy Yes , check $SNDK same thing

@investmentguru_Jun 14, 2026 · 7:17 PM

MEMORY SUPERCYCLE: The 40-Year Price Decline Just Broke For four decades, more memory always meant cheaper memory. That cycle has reversed — and it’s the next leg of the AI infrastructure story. What’s happening: ➡️ DRAM contract prices surged 90-95% quarter-over-quarter in Q1 2026, with PC DRAM specifically rising 105-110% QoQ — more than doubling in a single quarter ➡️ HBM capacity for 2026 is entirely sold out, with Micron, SK Hynix, and Samsung all refusing new orders ➡️ IDC’s read: this isn’t a normal cycle — it’s a “potentially permanent, strategic reallocation of the world’s silicon wafer capacity” ➡️ TSMC raised foundry prices 3-10% on January 1 and has signaled the same annual increases through 2029 ➡️ The wave is spreading: price hikes are now expanding from memory into power semis, CIS image sensors, MCUs, and analog chips across the board ➡️ Analysts project broad electronics price increases of 5-20% in 2026 as AI infrastructure spend (an estimated $620B from US tech giants) absorbs supply How to play it: ➡️ $MU / $SNDK — direct memory producers, pricing power = margin expansion ➡️ $WDC — enterprise HDD supply already booked out for 2026 ➡️ $ARW / $AVT — distributors holding inventory bought at old prices, selling at new ones = gross margin windfall ➡️ $TSM / $ASML / $LRCX — capex winners as fabs race to add capacity at every node This is the “Silicon” leg of the Silicon-to-Substation thesis — when the most commoditized layer of tech starts behaving like a scarce resource, the whole stack is repricing for the buildout. Not financial advice.

@investmentguru_Jun 11, 2026 · 12:16 AM

Overnight Market Movers $ORCL falls over 10% despite beating Q4 earnings and revenue expectations, as investors focus on concerns surrounding its massive financing plans. Semis and storage names are under pressure: $MRVL -4% $MU -2%+ $SNDK -2%+ $INTC -2%+ Another reminder that in this market, strong results don’t always translate into higher stock prices when expectations and valuations are elevated. On the other side, $BATL extends its rally with another 11% gain after soaring 57% in the previous session.

@investmentguru_Jun 4, 2026 · 12:31 AM

Overnight trading is showing a clear risk-off tone across some of the market’s strongest momentum groups. 🔻 $MRVL - nearly 6% 🔻 $LITE - over 4% 🔻 $ARM - over 4% 🔻 $NOK - over 4% 🔻 $SNDK - nearly 3% 🔻 $MU - nearly 3% Crypto-related stocks are also seeing weakness as Bitcoin falls below $65,000 for the first time since March: 🔻 $MSTR - nearly 2% 🔻 $HOOD - nearly 2% This looks more like profit-taking and sentiment reset than a broad thesis change. AI infrastructure, photonics, semiconductors, and digital assets have been among the market’s biggest winners, making them natural targets when traders reduce risk. Not financial advice.

@investmentguru_May 31, 2026 · 12:27 PM

Everyone’s asking what to buy in 2026. The answer’s been in the executive orders the whole time. The reshoring of America is real. And it starts with the ground-level stuff nobody talks about. Critical Minerals: $MP $LAC $TMQ Rare Earths: $CRML $USAR $TMC Manufacturing: $STRL $CDNL You can’t build the future without the raw materials first. Then comes the energy layer — because AI, drones, and chips all need power. Nuclear: $OKLO $CCJ $UUUU $XE Energy: $GEV $BE $TE $FCEL Batteries: $AMPX $QS $FLNC Now you’re cooking. Stack the infrastructure, then deploy the technology. Photonics: $CRDO $LITE $AAOI $AXTI Chips: $NVDA $AMD $TSMC $ARM $INTC AI: $MU $DELL $WDC $SNDK The applications sitting on top of all of it? Space: $ASTS $RKLB $PL Drones: $ONDS $UMAC $AVEX Robotics: $AEVA $OUST Quantum: $IONQ $RGTI $QBTS $INFQ Healthcare: $OSCR $CLOV $NVO Crypto: $CRCL $HOOD $PURR This isn’t a stock list. It’s a supply chain. Read the policy. Follow the capital. Connect the dots. Not financial advice. DYOR. Bookmark this post , like and repost so it can help others.

@investmentguru_May 26, 2026 · 12:45 AM

Overnight market strength is flowing directly into the future-tech sectors. Storage & Semiconductor names are moving higher across the board: $MU +5% $SNDK +3% $MRVL +3% $AMD +2% $INTC +2% $QCOM +2% $TSM +2% The AI infrastructure trade is alive and well. At the same time, quantum momentum continues building: ⚛️ $INFQ +5% ⚛️ $RGTI +4% And space stocks are catching another strong bid: 🚀 $ASTS +6% 🚀 $RKLB +2% This is exactly what strong markets do: Multiple future-facing sectors start participating together. Semis. Quantum. Space. AI infrastructure. Watch where the money is rotating. Small caps and disruptive tech continue to lead

@investmentguru_May 24, 2026 · 10:16 AM

THE THEMATIC WATCHLIST — 2025 EDITION Every mega-trend. Every sector. One list.This is how I’m thinking about capital allocation across the next cycle 👇 AI → $GOOGL $PLTR $NVDA $COHR Chips → $TSM $ASML $AMD $MU $SNDK Space → $RKLB $ASTS $LUNR $RDW $PL Crypto → $COIN $BTC $ETH $SOL Energy → $GEV $CEG Drones → $ONDS Nuclear → $CCJ $OKLO $VST $SMR Defense → $KTOS $AVAV $AMTM Robotics → $SYM $TSLA $ISRG Batteries → $TE $EOSE $QS $FLNC Quantum → $QBTS $IONQ $RGTI $INFQ Healthcare → $NVO $UNH $HIMS Data Centres → $IREN $CIFR $NBIS $CRWV Critical Minerals → $TMQ $UUUU $CCJ The next decade won’t be won by picking one sector. It’ll be won by understanding how they connect. AI needs chips. Chips need power. Power needs nuclear. Nuclear needs uranium. Uranium needs miners. It’s all one trade — just different layers. Know the map. Size accordingly. Not financial advice.

@investmentguru_May 22, 2026 · 1:27 AM

10 Most Exciting Stocks 1. $SNDK (SanDisk) The top-performing stock on Morningstar’s coverage list in 2026 — up a staggering ~464% YTD as flash memory demand for AI data centers explodes. Pure AI storage play. 2. $NVDA (Nvidia) The undisputed AI infrastructure anchor. The SOX index has hit 15 intraday all-time highs in 2026, with Nvidia remaining the dominant force in AI accelerators as hyperscalers pour hundreds of billions into build-out. 3. $INTC (Intel) The biggest turnaround story of 2026. Intel’s ASIC revenue nearly doubled YoY in Q1, already hitting a $1B annual run rate, as server CPUs find a new home in AI inference workloads. Up ~197% YTD. 4. $BE (Bloom Energy) Up nearly 198% YTD — the only non-tech name among 2026’s top performers — as fuel cell power solutions get pulled into the AI data center power demand story. Fits squarely in your nuclear/clean energy layer. 5. $STX / $WDC (Seagate / Western Digital) Both up ~180% YTD on AI storage momentum, with analysts raising fair value estimates ~50% after a “stellar” quarter where demand is outstripping supply. 6. $TSM (TSMC) Controls 72% of the foundry market, making it indispensable to the AI build-out. Its competitive moat — years and massive capital to replicate — keeps it at the center of every major chip designer’s roadmap. 7. $MU (Micron) Surging on data center demand, particularly high-bandwidth memory for AI training and inference. Already on your watchlist — the cycle is turning hard. 8. $RXT (Rackspace Technology) Up 165%+ in May alone on AI infrastructure partnership announcements — one of the hottest neocloud/AI infra names this month. Small-cap, high-beta, fits your thesis. 9. $INOD (Innodata) Triple-digit gains in May on LLM data contracts — riding the AI data pipeline wave. Pure-play AI data services at a fraction of the valuation of bigger names. 10. $AVGO (Broadcom) Supplying custom silicon (ASICs) and networking silicon to hyperscalers — increasingly the “picks and shovels” winner as big tech builds proprietary AI chips. Theme of this market: AI infrastructure capex is the engine. Memory, power, custom silicon, and neoclouds are the high-beta expressions. Energy names like $BE are the sleeper layer. Not financial advice.

@investmentguru_May 18, 2026 · 11:04 AM

Former OpenAI researcher Leopold Aschenbrenner’s AGI fund is making one massive bet: The AI bottleneck isn’t software anymore. It’s Power + Compute + Infrastructure. Top holdings include: $BE $CRWV $IREN $CORZ $APLD $SNDK $GLW No crowded Mag 7 trade. Pure second-order AI infrastructure plays. Power → Compute → Storage → Connectivity Smart money is positioning for AGI before the market fully catches on. Not financial advice.

@investmentguru_May 13, 2026 · 10:27 AM

15 of my favorite AI infrastructure plays in this market right now: $MU $AMD $INTC $SNDK $AAOI $MRAM $PENG $MXL $CRDO $MRVL $GLW $NOK $CEVA $GFS From memory, networking, photonics, optical connectivity, foundry, edge AI to telecom infrastructure — this sector is becoming the backbone of the next AI cycle. AI demand is no longer just about GPUs, it’s power, memory, data movement, fiber, cooling, networking and low latency infrastructure. That’s where I see some of the biggest long term opportunities developing. Every pullback in strong AI infrastructure names continues to get bought aggressively so far. Selective accumulation still looks like the best strategy in this market IMO.

@investmentguru_May 12, 2026 · 10:02 AM

The 2026 Memory Market May Extend the Supercycle AI training, inference, and data center buildout are keeping memory demand structurally elevated — and the full stack is worth watching. Here’s who plays where 👇 🟠 DRAM / HBM → SK Hynix — world’s largest DRAM & HBM supplier → Samsung Electronics — top 3 DRAM & HBM globally → $MU — top 3 DRAM & HBM + #4 in global NAND 🔵 NAND → $SNDK — #5 in the global NAND market 🩵 HDD → $STX — Seagate Technology → $WDC — Western Digital (Two of the last major global HDD manufacturers) 🟢 Data Storage Systems & Solutions → $NTAP — enterprise memory storage leader → $PSTG — global leader in flash storage 🔴 Equipment → $LRCX — memory packaging vendor → $AMAT — thin-film deposition for memory chip manufacturing 🔵 Controllers & Interconnect Silicon → $RMBS — U.S. memory IP vendor → $SIMO — global leader in memory controller solutions → $MRVL — leader in memory & storage technologies → $INTC — advanced packaging (Foveros) critical to next-gen HBM stacking The memory supercycle isn’t just $MU. It’s an entire ecosystem repricing for the AI era — from HBM to controllers to equipment. Not financial advice.

@investmentguru_May 12, 2026 · 9:43 AM

The “Inflation Era” of AI Compute is Breaking Out Across the Board Every layer of the AI infrastructure stack is seeing demand explosion — and the winners aren’t just $NVDA. Here’s the full supply chain map 👇 ⚙️ FOUNDATIONAL INFRASTRUCTURE → PCB: $TTM, $JBL → CCL: $ROG → MLCC: $VSH → Liquid Cooling & Thermal: $VRT 🔴 CORE COMPUTE & MEMORY AI Silicon: → $NVDA $AVGO $AMD $INTC Memory / Storage: → $MU $SNDK $WDC $STX $INTC Power Management / Analog: → $TXN $ADI $NXPI $STM $MPWR $VICR Wafer Foundry: → $TSM $GFS $UMC Advanced Packaging / OSAT: → $TSM $ASX $AMKR 🔵 OPTICAL COMMUNICATIONS NETWORK Optical Components: → $LITE $COHR $AAOI Optical Fiber & Cable: → $GLW Silicon Photonics Foundry: → $TSEM $GFS INP: → $AXTI Optical DSP / Interconnect Silicon: → $MRVL $FN ☁️ CLOUD & AI PLATFORMS → $AMZN $GOOG $BABA $BIDU The AI compute supercycle isn’t one stock — it’s an entire ecosystem repricing in real time. Not financial advice. DYOR.

@investmentguru_May 11, 2026 · 2:39 AM

AI IS THE MEGA-DRIVER → 1 ChatGPT query ≈ 10× the electricity of a Google search → Hyperscalers have announced nuclear PPAs exceeding 10GW since 2023 → The wave thesis plays out in layers: W1 → Semiconductors ($NVDA $AMD) — well known ✅ W2 → Memory ($MU $SNDK) — catching up ✅ W3 → Photonics ($COHR $AAOI $FN $CRDO) — mid-innings 🔄 W4 → ⚡ Energy ($CEG $VST $OKLO $ETN $GEV) — early innings. We are HERE 🎯 W5 → Robotics/Physical AI — next wave 🔜

@investmentguru_May 11, 2026 · 12:27 AM

Overnight Market Movers Optical communications heating up: $LITE +7% after joining the Nasdaq-100 effective May 18 — AI data center bandwidth trade remains strong. Memory stocks continue higher: $DRAM +6% $MU +4% $SNDK +2% HBM + AI infrastructure demand still driving the memory supercycle. Crypto-linked names rally: $CRCL +5% $MSTR +3% Bitcoin strength continues lifting the digital asset ecosystem. Space momentum stays explosive: $RKLB +4% overnight after a massive +34% move previously. Space remains one of the strongest thematic trades in the market. Oil spikes sharply: WTI crude +2.9% to $98.35 Brent +3.1% to $104.47 Markets reacting after Trump rejected Iran’s proposal, reigniting geopolitical supply concerns. The market rotation is becoming very clear: AI infrastructure • Memory • Optical networking • Space • Crypto • Energy

@investmentguru_May 10, 2026 · 12:16 PM

EVERY BUCK STOPS AT ENERGY — The Bottleneck Nobody Talks About Enough. The real constraint on AI isn’t chips. It isn’t bandwidth. It isn’t capital. It’s electrons. Here’s the full breakdown NUCLEAR — The Baseload Beast → Only energy source delivering 24/7 carbon-free power at hyperscaler scale → Microsoft, Google, Amazon signing direct nuclear PPAs — unprecedented → Legacy fleet life extensions: cheapest, fastest path to zero-carbon baseload → SMR wave building: factory-built, faster deploy, co-locatable with data centers → Uranium supply chain revival underway — enrichment is the chokepoint Tickers: $CEG $VST $OKLO $SMR $CCJ $LEU $LTBR GRID — The Invisible Backbone → US grid built in the 1950s–70s. Not designed for 300MW data center campuses → 2,600 GW stuck in interconnection queues — more than entire installed US capacity → Large power transformers: 2–3 year lead times, barely made domestically → FERC Order 1920 mandated long-term transmission planning for first time ever → Grid hardware demand is a decade-long supercycle, not a trade Tickers: $ETN $GEV $PWR SOLAR — The Cost Curve Winner → ~99% cost decline since 1976 — cheapest new electricity in history → Constraint has shifted: no longer cost, it’s permitting + interconnection + storage → Solar + BESS is now the standard utility build → IRA credits extending economics through the 2030s → $FSLR only major US-based module manufacturer — direct IRA beneficiary Tickers: $FSLR $ENPH $ARRY $TE BATTERY STORAGE — The Enabler Layer → Renewables without storage are weather-dependent. Storage makes them dispatchable → LFP BESS: $1,200/kWh (2010) → ~$100/kWh (2024) → ~$60/kWh projected (2030) → 4-hour duration now standard. Long-duration (100hr+) is the unsolved problem → Iron-air, flow batteries, green hydrogen all competing for the long-duration crown → V2G sleeper thesis: 300M EVs by 2035 = massive distributed grid storage network $FLNC $EOSE $QS $BE RENEWABLES — Wind, Hydro & Geothermal → Offshore wind: world-class US East Coast resource, but capex + financing challenged → Pumped hydro still 95% of ALL global grid storage — massively underappreciated → Enhanced Geothermal Systems (EGS): Fervo Energy proved commercial scale — dark horse → Geothermal = 24/7 baseload, zero emissions, geography no longer a hard limit $PLUG AI IS THE MEGA-DRIVER → 1 ChatGPT query ≈ 10× the electricity of a Google search → Hyperscalers have announced nuclear PPAs exceeding 10GW since 2023 → The wave thesis plays out in layers: W1 → Semiconductors ($NVDA $AMD) — well known ✅ W2 → Memory ($MU $SNDK) — catching up ✅ W3 → Photonics ($COHR $AAOI $FN $CRDO) — mid-innings 🔄 W4 → ⚡ Energy ($CEG $VST $OKLO $ETN $GEV) — early innings. We are HERE 🎯 W5 → Robotics/Physical AI — next wave 🔜 RISKS TO WATCH → IRA rollback attempts — policy is the #1 overhang → Permitting timelines remain brutal (10–15 years for transmission lines) → Nuclear cost overruns — historical pattern, balance sheet quality matters → Rate sensitivity — these are long-cycle capex-heavy businesses → Supply chain concentration (China dominates solar, battery manufacturing) Not financial advice.

@investmentguru_May 10, 2026 · 11:26 AM

The Complete Data Center Stack: Where the AI Infrastructure Money Flows Most investors still think AI is just about GPUs. That’s incomplete. AI is an infrastructure buildout, and the real opportunity spans the entire data center stack. Every inference, every training run, and every deployed model depends on multiple layers working together. Here’s the breakdown: 1. Compute Silicon (The Brain) Tickers: $NVDA, $AMD, $AVGO, $INTC This is the foundation. GPUs, CPUs, accelerators, and custom silicon power training and inference. Why it matters: - Compute demand keeps rising with larger models - AI workloads are forcing faster chip innovation - Custom ASICs are becoming a major trend 2. Server OEMs & Solutions (The Hardware Layer) Tickers: $SMCI, $DELL, $HPE, $VRT, $ETN, $MOD Chips need systems. These companies assemble and deliver the physical AI servers and power systems. Why it matters: - AI racks are denser and hotter - Power distribution is now critical - Cooling is becoming a competitive advantage 3. Memory & Storage (The Hidden Bottleneck) Tickers: $SNDK, SK Hynix, $MU, $WDC, $P, Samsung, $NTAP AI models consume massive amounts of memory bandwidth and storage. Why it matters: - High-bandwidth memory is becoming strategic infrastructure - Data storage demand rises with AI deployment - Faster access = better model performance 4. Networking & Connectivity (The Nervous System) Tickers: $ANET, $CSCO, $MRVL, $CRDO, $CIEN, $NOK AI clusters must communicate at ultra-high speed. Why it matters: - Faster networking reduces latency - Data movement is becoming expensive - Scale depends on interconnect efficiency Key idea: AI cannot scale without bandwidth. 5. Neoclouds & Physical Infrastructure (The New Builders) Tickers: $NBIS, $IREN, $CRWV, $APLD $CIFR $DGXX These companies provide specialized AI infrastructure and hosting. Why it matters: - Cloud alternatives are growing - AI-native infrastructure is becoming valuable - Capacity shortages create pricing power 6. Energy (The Ultimate Constraint) Tickers: $CEG, $NEE, $EOSE, $GEV, $EQT, $VST $OKLO $BE $FLNC AI consumes enormous electricity. Power availability is becoming a limiting factor. Why it matters: - Grid demand is surging - Battery storage is essential - Reliable baseload power matters Final Thought The market often focuses on one winner. But AI infrastructure is an ecosystem. If you want to understand where capital flows next, follow the stack: Compute → Servers → Memory → Networking → Infrastructure → Energy The biggest winners in the AI cycle may not always be the obvious names. Sometimes the best opportunities are in the supporting layers that make the whole system possible.

@investmentguru_May 9, 2026 · 3:53 PM

The Complete Semiconductor Playbook — AI Supercycle 2026 The AI trade is no longer one ticker. It’s a full stack. Here’s every layer: 💾 MEMORY $MU · $WDC · $STX · $SNDK · $AMAT · $LRCX → HBM4 = the new oil. Not a commodity anymore. Strategic infrastructure. 🔌 CONTROLLERS $RMBS · $SIMO · $ATOM · $MCHP · $ADI · $TXN → The traffic cops of every AI system. Overlooked. Undervalued. Critical. 📦 PACKAGING / TESTING $AMKR · $FORM · $CAMT · $ONTO · $COHU · $ACMR → CoWoS. HBM stacking. Chiplets. This is where chips become systems. 🧠 NEXT-GEN MEMORY $MRAM · $GSIT · $NVEC · $NLST · $CEVA → Beyond DRAM. Early-stage. Asymmetric upside when the cycle arrives. 🌐 OPTICAL / INTERCONNECT $LITE · $AAOI · $COHR · $CIEN · $MRVL · $GLW · $MTSI · $TSEM · $POET · $LWLG · $FN → The hottest sub-sector in semis right now. 800G → 1.6T. CPO is the next arms race.

@investmentguru_May 9, 2026 · 1:00 PM

$MU. $SNDK. $AMD. All ran hard. None of them are done. Here’s why - $MU @ $746 | Forward PE: 7.5x → 100%+ EPS growth projected in FY2026 → Only US-based advanced memory manufacturer → Sold out through 2026 → HBM TAM: $35B → $100B by 2028 → Trading at less than HALF its historical forward PE average The run looks big. The earnings growth is bigger. $SNDK @ $1,562 | Forward PE: ~23x → Q3 revenue +251% YoY to $5.95B → Gross margins exploded from 22% → 78% → $42B in long-term AI customer contracts signed → NAND supply expected to stay tight through 2028 → Susquehanna target: $2,000 | Bernstein: $1,700 The stock is up 400%+ YTD and analysts are still raising targets. $AMD @ $455 | Forward PE: ~25x → Q1 FY2026 Data Center revenue: $5.77B (+57% YoY) → Q2 guidance: $11.2B — crushed the $10.5B consensus → Meta 6GW GPU deal. OpenAI. Oracle 50K GPU cluster. → Bernstein target: $525 | Barclays & Cantor: $500 → $14+ EPS projected for 2027. $20 EPS “plausible” for 2028 Still only 6% market share in a $1.5T AI accelerator market by 2030. The AI buildout isn’t slowing. Memory is tight. GPU demand is accelerating. Agentic AI is just getting started. These aren’t momentum trades anymore — they’re infrastructure plays. Not financial advice.

@investmentguru_May 6, 2026 · 10:20 AM

Capital rotation is getting louder in semis and AI infrastructure. Money is flowing into names like $MU, $SNDK, $AMD, $ARM, $CRDO, $MRVL, $INTC, $AAOI, $ALAB, and $TSEM. The market is rewarding memory, networking, packaging, and AI compute plays right now

@investmentguru_May 5, 2026 · 12:00 AM

Markets are seeing broad profit-taking as geopolitical tensions in the Middle East add pressure and uncertainty. Selling can accelerate fast when headlines hit, especially after a strong run. Some names are still showing relative strength — $MU, $SNDK, $TSLA, $AMZN — holding up better while the rest of the market cools off. A breather here would be healthy. Consolidation builds the base for the next leg higher.

@investmentguru_May 4, 2026 · 5:25 PM

$SNDK and $MU look unstoppable right now. Momentum is strong, demand remains solid, and the trend is clearly in favor of the bulls. Semis continue to lead.

@investmentguru_May 2, 2026 · 10:23 PM

The first Memory ETF just dropped — $DRAM Top holdings: → Samsung Electronics — 25.02% → $MU Micron Technology — 24.13% → SK Hynix — 23.61% → Kioxia — 4.98% → $SNDK SanDisk — 4.81% → $STX Seagate — 4.75% → $WDC Western Digital — 4.67% The AI memory arms race now has its own ETF HBM demand isn’t slowing down. Memory is the bottleneck. $DRAM gives you a basket of every major player in the space.

@investmentguru_May 1, 2026 · 12:31 AM

Overnight movers Memory weak: $SNDK -6%, $WDC -8%, $MU -2% Software strong: $TEAM +24%, $TWLO +18%, $MNDY +4% $RDDT +13% on strong earnings $RBLX -20% as losses widen $AXTI -7% despite improving revenue

@investmentguru_May 1, 2026 · 12:28 AM

$SNDK delivered solid earnings. The pullback looks more like short-term profit-taking than a change in the story. If the sector holds, this could turn into a bounce opportunity. The weakness also spilled into $MU, which often moves with storage sentiment. $AAPL also posted strong earnings and the stock is reacting well after-hours — a positive signal for tech and broader market sentiment.

@investmentguru_Apr 30, 2026 · 8:09 PM

$SNDK https://t.co/x9JYwdrmBM

@investmentguru_Apr 30, 2026 · 2:35 AM

Photonics & Semiconductors: The Quiet Kings of This Market The rotation is happening in plain sight. While macro noise dominates headlines, photonics and semiconductor names are quietly building the infrastructure that every AI workload, data center, and next-gen network depends on — and the market is starting to reprice that reality. $COHR, $LITE, $MRVL, $CIEN, $INTC, $SNDK , $AXTI, $MU , $AAOI, and $SIMO aren’t just riding a trend; they’re supplying the rails that the entire AI buildout runs on. Optical interconnects, silicon photonics, and coherent transceivers aren’t optional upgrades — they’re the physical bottleneck every hyperscaler is scrambling to solve right now. On the semiconductor side, the thesis is just as structural: demand for specialized chips across AI inference, optical engines, and edge compute isn’t slowing; it’s accelerating into 2026 and beyond. When bandwidth demand grows exponentially and copper simply can’t keep up, light wins — and the companies enabling that shift are sitting at the intersection of two of the most durable capex cycles in market history. This isn’t hype. This is infrastructure.

@investmentguru_Apr 29, 2026 · 6:19 PM

$SNDK no words https://t.co/iVyStoIsaY