Summary: Bullish MU on C-HBM4E architectural shift (2.5x perf, 2x power efficiency) driving decade-long GPU-memory integration; TSMC benefits as base-die partner.

$MU Custom HBM4E (C-HBM4E). Literally, the most important HBM transformation that nobody is talking about.

HBM4E is already the next leap beyond HBM4. Faster. Denser. Built on a TSMC base die that acts as the foundation connecting all the DRAM stacks above it.

C-HBM4E takes it further.

Historically the memory controller lived on the GPU. Custom HBM4E moves it directly into the base die. Shorter signal paths. Tighter integration. The GPU and memory are essentially one unit now.

2.5x performance uplift vs previous generations.

2x better power efficiency.

More complex to build. More expensive. But for hyperscalers running AI at scale, performance per watt is everything.

This is not an incremental update. It's a architectural shift in how memory and compute work together.

The collaborations between GPU and Memory companies will grow in the over the next decade and one day, we might actually have a GPU-in-Memory, a total and seamless integration.

Here's the P/E and P/S Ratio of $MU that enables AI GPUs with super fast High Bandwith Memory Cubes. Their HBM sales grew 50% sequentially and DRAM/NAND prices have bottomed. Micron intends to take at least 27% of the whole HBM market.

Forward P/E ratio: 10.41
Forward P/S ratio https://t.co/TSLBx04ENf


Built on a TSMC base die that acts as the foundation connecting all the DRAM stacks above it.

structural marker; pre-classified as canonical yfinance ticker


Agentic AI runs local and cloud, 24/7, never stops learning and working... That kind of workload doesn't just need chips. It needs context thus the memory. Lots of it. Persistently.

Summary: Long memory (MU, SNDK) and TSM on Agentic AI infrastructure supercycle requiring persistent, large-scale memory; five-year buildout to dwarf last decade.

$MU $SNDK $TSM

Called the memory bottom in March 2025. Nobody cared. So did my Agentic AI callout with low impressions.

Agentic AI runs local and cloud, 24/7, never stops learning and working.

The old AI model was simple. Train a model. Run inference. Done.

Agentic AI breaks that model entirely. Agents learn on the job. They execute tasks, loop back, self-correct, and run again. Local and cloud. Around the clock.

That kind of workload doesn't just need chips. It needs context thus the memory. Lots of it. Persistently.

Five years from now the infrastructure required to support global agent deployments will dwarf everything built in the last decade.

$MU $NVDA $TSM $SNDK

Low impressions on my Agentic AI post.

Same thing happened when I called the memory bottom. The crowd is always quiet before the move. Every major call I've made started with low impressions.

We are so early. The next big wave is coming.


Summary: Bullish MU: HBM TAM $100B by 2028 looks conservative given Rubin Ultra's 12.8x H100 demand; AI inference structurally changes the cycle narrative.

$MU $DRAM Still think this is cyclical? Look at the chart.

Rubin Ultra is 12.8x the H100 in HBM. 3.2x normalized per die. $100B TAM by 2028 is starting to look conservative.

AI Inference is cooking something you have never seen before. What's next, 5TB HBM per unit? https://t.co/AwcckVv3FF

$MU Holy Shit

Micron Profit >> Amazon's by 2027 https://t.co/gW0gnoP4X1


Palantir excels at horizontal, cross-silo unification. Its Ontology acts as a flexible "operating system"... Customers get their efficiency and revenue metrics clearly improved after adopting Palantir's ecosystem

Summary: Bullish Palantir: unique cross-silo ontology OS differentiates it from SAP/Salesforce, with measurable customer ROI driving durable growth in government and commercial.

Palantir excels at horizontal, cross-silo unification. Its Ontology acts as a flexible "operating system" that sits on top of (or alongside) SAP, Salesforce, legacy systems, sensors, etc. It shines in complex, messy environments where data ownership barriers and multi-system coordination matter most

More importantly Palantir's revenue is customer's output driven. Customers get their efficiency and revenue metrics clearly improved after adopting Palantir's ecosystem, especially in government/military and increasingly in commercial via Ontology-powered actions

@TradexWhisperer Can the framework that views ontology as an AI enabler be understood as similarly applicable to companies like SAP and Salesforce, in the sense that they are also infrastructure providers prepared to integrate AI into enterprise organizational processes?


Summary: Long MU and NVDA: robot/AV compute will drive a 19x DRAM surge per unit; Physical AI is the next memory demand wave and still early.

$MU $NVDA

L4 autonomous vehicles require 300GB of DRAM. The average L2 ADAS car has 16GB.

That's a 19x jump per vehicle.

Robots will demand the same compute as a high-end L4 automobile.

Physical AI is the next wave underwriting memory demand. We're early.

JASON: “Elon seems to think we're gonna have one robot for every human.”

JENSEN HUANG: “I'm hoping more … We're millions of people short in labor today. We're actually really desperately in need of robotics. All of these companies could grow more if they had more labor.” https://t.co/tpWYctGAaz


Summary: Bullish MU: market underprices AI-driven demand shift in memory, analogous to NVDA's re-rating from gaming to AI.

The market priced $NVDA as a gaming GPU company but AI rewrote the demand structure → $4 Trillion followed.

The market is still pricing $MU as a commodity memory company. AI is rewriting the demand structure again. You know what follows.

History is rhyming $DRAM


Summary: Bullish MU: expected guidance raise will create acute asymmetric upside as profit growth accelerates quarter over quarter.

@Deenobrown123 Good observation. And when Micron raises the guidance for the subsequent quarter. The asymmetry is going be a lot more acute.

@TradexWhisperer And MU is doing it way faster.  It took NVDA 1 full year to go from $12 billion in profits to $21 billion in profits in a quarter. 2024 and 2025 respectively.  Micron will do that 1 quarter after the other. Last quarter to this quarter. Only a matter of time that will be be


Summary: Author endorses Musk quote as bullish for chip suppliers TSM, MU, and Samsung on uncapped demand commitment.

"We're very grateful to our existing supply chain, to Samsung, $TSM, $MU, and others. And we would like them to expand as quickly as they can. And we will buy all of their chips. I have said these exact words to them."

@elonmusk

Bullish as hell https://t.co/t3obXCJFXl

The Structural Shift of the Century

Look at this chart. That tiny bar on the left is available compute supply. That 1 terawatt bar on the right is Tesla and SpaceX demand alone. Not global AI demand. Just two companies. Bears are anchored in the past. One Chart. One Thesis.

$MU https://t.co/bZehE3Jlx1


Samsung in memory context = Samsung Electronics 005930.KS


Summary: Long-term bullish MU; HBM/AI inference memory demand is structurally different from prior cycles, Micron has compounded over decades through cycles.

Firstable, the one myth we should all address is that....when people ask these type of questions (isn't it cyclical? it has always been), it almost makes everyone feel like the memory market is doomed as if their stock prices never goes up, permanently. Micron went from, $1, $5, $30, $90, $120 now $400s in the last decade. Memory is good for long term. If you time horizon doesn't allow that then you are a trader and you should trade based on technicals not on fundamentals and shouldn't care about whether it's top because a good trader always take profits along the way.

No one should be 'confident' in the sense that blindly follow the narrative. I am validating it every week. One needs to do research how is the memory used for AI vs how is the memory used for just general compute purposes. AI Inference & Agentic AI memory needs is fundmentally different. Memory is still a strategic asset. Again, Micron went from, $1, $5, $30, $90, $120 now $400s in the last decade. There were cycles in between but this where where we are.

@TradexWhisperer What makes you confident that HBM won’t follow the same path as previous memory cycles once supply inevitably catches up?


Summary: Bullish MU and memory sector (HBM, DRAM, NAND) as structural AI infrastructure play on Sam Altman's 'infinite memory' thesis.

$MU $SNDK $DRAM

Sam Altman just said “Infinite Memory” matters more than Smarter AI Reasoning.

Memory is not a feature. It is the foundation of superintelligent AI. I have been saying structural paradigm shift since $62. If you did not believe me then, maybe you will believe Sam Altman now.

Today's AI including GPT 5.2 is already strong at logic. The bottleneck is what Altman calls short-term amnesia. Every session resets. Context is lost. The AI starts from zero every single time.

His vision for what comes next is an AI that builds a lifelong contextual map of every user. Proactive. Persistent. Improving every day without being asked. He called it the missing piece for AGI.

"No human has infinite perfect memory. And AI is definitely going to be able to do that."

"Right now memory is still very crude, very early. Once AI can remember every granular detail of your life including preferences you never explicitly stated, it will be super powerful."

So how do we solve short-term amnesia? More and better HBM, DRAM & NAND.


So how do we solve short-term amnesia? More and better HBM, DRAM & NAND.

DRAM sector basket: Micron, SK Hynix, Samsung


Summary: SPY heading to ATH; April 2025 dip mirrors April 2024 setup, same bullish destination.

$SPY Blue → Green → ATH

Last April looked like the end of an era but it was a setup. This April? Same sequence. Same destination.

Get 300+ charts daily. Try it free:
https://t.co/ZQDP5HCFyq https://t.co/0oGTkiG31W

AI doesn’t give a fuck about rate cuts or some retard’s short position.

It’s the only invention that builds better versions of itself, exponentially forever.

The next AI train is coming, and it’s going to absolutely wreck every single bear.

$PLTR $TSM $MU $MSFT $GOOGL $TSLA


Summary: Holds LITE; acknowledges expensive valuation but endorses positive outlook.

@Ud197601 I own $LITE too. Expensive but has a great outlook.


Summary: Both MU and SK Hynix will reach $1T market cap — author calls it inevitable.

$MU just closed the day as a $900 Billion company.
$DRAM SK Hynix: $950 Billion

$1 Trillion: Inevitable https://t.co/4tyLDfYPN3


Summary: Long INTC on packaging demand from Google/Amazon as alternative to maxed-out TSMC; mildly bearish TSMC on constrained capacity driving hyperscaler diversification.

$TSM Advanced packaging capacity is maxed out.

$INTC Intel's advanced packaging business is gaining interest as an alternative to TSMC especially in the AI chip segment.

Google and Amazon are in active discussions with Intel for advanced packaging services for their custom ASICs with potential adoption of Intel's EMIB or next generation EMIB T technology for Google's TPUs and Amazon's Trainium chips.

Customer commitments for these packaging deals are expected in the second half of 2026 with possible updates at Intel's earnings call on April 23.

Intel CFO David Zinsner noted that customers are ready to commit and even prepay with potential deals reaching billions of dollars describing advanced packaging as now the more interesting and higher margin part of the foundry business with gross margins around forty percent.

The interest stems largely from TSMC's constrained advanced packaging capacity which remains heavily concentrated in Taiwan creating supply security concerns for hyperscalers.

Intel is actively expanding its packaging capacity including a new Malaysia complex set to become operational in 2026 for assembly and testing and its New Mexico fabs already in mass production of advanced 3D packaging since early 2024.

EMIB T the upgraded version of Intel's embedded multi die interconnect bridge technology adds through silicon vias for better power delivery and signal integrity and is designed to support very large AI packages.

TSMC is responding by building its own advanced packaging facility in the United States with construction starting in the second quarter of 2026 and operations targeted for late 2027 to 2028.

This development highlights growing momentum in Intel's foundry turnaround as it leverages packaging strengths to attract major AI customers amid tight industry capacity.

$INTC $TSLA Intel has officially joined Elon Musk's Terafab project alongside Tesla SpaceX and xAI.

The initiative aims to produce one terawatt per year of compute power to support future advances in AI robotics and data centers.

Intel will contribute its strengths in advanced https://t.co/HydeSAGcPR


Deutsche Bank nearly doubled their $MU price target overnight. New PT: $1,000 (street high) Old PT: $550. Called it at $62. Still calling it.

Summary: Shares Deutsche Bank's MU PT raise to $1,000 (street high) from $550, endorsing the still-active bullish call.

Deutsche Bank nearly doubled their $MU price target overnight.

New PT: $1,000 (street high)
Old PT: $550

But this one hits different. Analyst: Melissa Weathers is top 1.9% of all Wall Street analysts.

Called it at $62. Still calling it. $DRAM https://t.co/PYTbOQWu93

$MU Bargain of the Century

PE Ratio: 15.5
Sales Ratio: 2.33

50% Increase in HBM (AI Memory) Sequentially. DRAM/NAND prices are surging. https://t.co/uTq6YMFnb2


Summary: Conditionally bullish MU on GDDR-stacking play for Edge AI inference, expanding addressable market.

$MU Micron is potentially opening doors to Edge Device AI Inference. Bullish if they succeed as the local devices will be able to handle a lot more tokens.

"Micron Plans to Utilize Gaming GPU-Focused GDDR Memory Modules For AI By Stacking Them Together"

GDDR is a memory specialized for video and 3D graphics. While typically used in graphics cards and gaming devices, it is recently being incorporated into some AI accelerators as well. Although its speed (bandwidth) is slower compared to HBM, demand is increasing for specific applications, such as inference, due to its price competitiveness


Sorry Bears. DDR5 Prices Are Going Up, AGAIN. Manufacturers are only supplying about 60% of demand through 2027, keeping upward pressure on prices. No major relief is expected in the near term.

Summary: Bullish MU on persistent DRAM supply shortfall (~60% of demand met through 2027), DDR5 prices bouncing sharply with no near-term relief expected.

$MU $DRAM Sorry Bears. DDR5 Prices Are Going Up, AGAIN.

DDR5 RAM prices in Germany have bounced back sharply in April 2026, returning to an average of 410% of July 2025 levels after a brief dip in March.

The short-lived March decline (the first in months) had raised hopes for relief, but a slight price hike in April has crushed those expectations. Prices are still below their January/February 2026 peak, yet remain extremely elevated overall.

Data comes from multiple German retailers via 3D Center. The 2x 48 GB DDR5-6400 kit saw particularly strong price growth. Similar volatility is seen in other regions like North America.

Why it's happening: Ongoing DRAM market instability. Manufacturers are only supplying about 60% of demand through 2027, keeping upward pressure on prices. No major relief is expected in the near term.

$MU $DRAM Unbelievable. DDR3 contract prices are going up. Three generations old. The memory nobody was supposed to need anymore.

Demand is so overwhelming it's flowing backward through the supply chain.

I've never seen anything like this before. Ever. https://t.co/jaSdoBbqXh


Summary: TSM will surpass NVDA in size; implied long TSM, relative underperformance for NVDA.

@BramVGenechten $TSM will become bigger than $NVDA

@TradexWhisperer Undervalued:

https://t.co/nYdrljWjTC


Summary: Bullish MU: views it as a coiled spring poised for a re-rating by institutional investors.

@doongyidaddy Indeed. I think Micron is a super compressed spring. It's about to get re-rated by the smart money.

@TradexWhisperer Bro $MU has never announced their major LTA partnerships yet we going to the moon. What happens when they do?

$INTC announcing all their partnerships upfront and it rocketed 100% with pure speculation

$MU stays silent. But shows everything in numbers in their earnings!


Summary: Endorses bullish MU re-rating: nine PT upgrades, Barclays to $675 street high on HBM4/AI demand; skepticism crumbling.

$MU Nine Price Target Upgrades 🤯

Barclays went from $450 to $675 (Street High). The reasoning is the same everywhere: HBM4, Durable AI demand, and long-term agreements. Goldman Sachs is the lone Hold, and even they raised their target.

The wall of skepticism is crumbling https://t.co/k4BJCsrHj7


Summary: Bullish MU, TSM, SNDK: AI demand is structural (decade-long hyperscaler contracts, new fabs), not a 2-year cycle — bears are wrong.

Bears think AI demand just expires in 2027. AI isn't a 2-year car lease. Sign, use, return and disappear.

Micron & TSMC are building fabs. Hyperscalers are signing decade-long contracts.

This isn't a lease. It's a mortgage and perpetual marriage.

$MU $SNDK $TSM


You only divest a decades-long strategic position when your own business is more profitable than anything else you could hold. the internal roadmap is so capital intensive and so profitable that maintaining a 27% minority position in a partner they no longer sit on the board of is just dead weight on the balance sheet

Summary: Long TSMC: VIS divestiture signals TSMC's own pipeline is so profitable and capital-intensive that any non-core stake is dead weight; N2/Arizona/CoWoS ramp demands capital urgently.

$TSM Confidence Signal

TSMC announced it plans to sell up to 152 million shares of Vanguard to focus capital on its core business.

You only divest a decades-long strategic position when your own business is more profitable than anything else you could hold.

VIS operates in mature nodes. 28nm and above. Decent business. Stable margins. But structurally capped on upside.

It is also a confidence signal. You only monetize a long held strategic stake when you are absolutely certain your own pipeline is more valuable than the optionality that stake provided. TSMC held that VIS position for decades. Letting it go now says one thing clearly: the internal roadmap is so capital intensive and so profitable that maintaining a 27% minority position in a partner they no longer sit on the board of is just dead weight on the balance sheet.

The timing also matters. TSMC is simultaneously ramping N2 in Taiwan, building fabs in Arizona, Kumamoto, and Dresden, and scaling CoWoS capacity for NVIDIA, Apple, and AMD simultaneously. Capital is not just useful right now. It is urgently needed.

So yes. You divest the non-core stake when your own business is generating the kind of returns that make everything else look like a distraction. That is exactly what this is.


Summary: Bullish on global semis supercycle: TSMC, MU, AVGO, NVDA as core beneficiaries of AI infrastructure + memory boom driving $1.3T revenue by 2026.

$TSM $MU $SNDK $DRAM $AVGO $NVDA Global Boom 💥

Global semiconductor industry revenue is projected to exceed $1.3 trillion in 2026.

This represents a massive 64% year-over-year increase from 2025, the largest growth rate in two decades. It would mark the third consecutive year of double-digit growth, highlighting the sector’s central role in the AI technology stack.

Broader Outlook

The growth is broad-based but memory and AI-related infrastructure (processing + networking) are the standout drivers. While AI chips (e.g., GPUs from Nvidia) get much attention, memory price inflation and data center buildout are playing an outsized role in the revenue explosion.

This ties directly into the ongoing AI infrastructure supercycle, where massive GPU cluster deployments require enormous amounts of supporting memory and optical/high-speed networking components.

$TSM feels safer than an index fund right now. It's now my 2nd biggest position after $MU

AI is eating everything and TSMC is the kitchen where all the AI chips are cooked, Nvidia, AMD, Broadcom, hyperscalers

One stock = One broad exposure to the biggest trend of our lifetime


memory and AI-related infrastructure (processing + networking) are the standout drivers

Global memory semiconductor basket: MU, Hynix, Samsung, Kioxia


Summary: Bullish MU with $750 price target next, following prior move from $62 to $450; HBM/DRAM/NAND thesis intact.

$MU $DRAM $62 → $450

The thesis was public. The signal was there.

$750 is next. Choose your follows wisely.


Shinhan Investment & Securities raised its target price for SK hynix from 1.3 million KRW to 1.5 million KRW, while maintaining a 'Buy' rating

Summary: Shares Shinhan Buy on SK Hynix with PT raised to 1.5M KRW on record 2026 outlook: DRAM/NAND price surge, HBM3E leadership, AI demand, ADR listing.

$MU $DRAM $EWY

Shinhan Investment & Securities raised its target price for SK hynix from 1.3 million KRW (~$866 USD) to 1.5 million KRW (~$999 USD), while maintaining a 'Buy' rating.

The upgrade is driven by expectations of record-breaking performance in 2026, fueled by surging DRAM and NAND prices, continued leadership in HBM3E, strong AI memory demand, and potential delays in Nvidia’s next-generation Rubin GPU (which could extend SK hynix’s HBM3E advantage).

Key Financial Forecasts for 2026

Q1 2026: Revenue of $33.6B USD (+53.5% QoQ); operating profit of $23.7B USD (+85.1% QoQ).

Full-year 2026: Revenue of $183.3B USD (+183.1% YoY); operating profit of $134.6B USD) (+327.6% YoY).

Analysts highlighted exceptionally high operating profit margins: 78.9% for DRAM and 58.6% for NAND, along with materializing long-term supply agreements (LTAs) with major Big Tech clients, giving SK hynix stronger negotiating power amid limited bit supply growth and excess demand.

Additional positive catalysts include the planned ADR listing in the second half of 2026


Summary: Long TSM; author endorses 'TSMC All In' thesis — it wins regardless of which chip player leads.

$TSM Mother of All Semiconductors

She is waking up https://t.co/usOOAbWSOs

If $NVDA wins, $TSM wins
If $AVGO wins, $TSM wins
If $MU HBM wins, $TSM wins
If $SNDK HBF wins, $TSM wins
If $AMD AI chips win, $TSM wins
If $QCOM silicon win, $TSM wins
If $AAPL silicon win, $TSM wins
If hyperscalers ASIC wins, $TSM wins

Is that clear enough? TSMC All In


Summary: Author expects NVDA to take off from here.

@BillCarson3x I think NVDA will take off too.

@TradexWhisperer nice!  let's just hope it doesn't get the of curse nvda where no matter what good news flies in from this point the stock will barely budge.


Summary: Bullish TSM: sold out through 2028 on 2nm and Arizona fab fully booked pre-construction; $2T market cap seen as inevitable.

$TSM TSMC is completely SOLD OUT until 2028 including its cutting-edge 2nm (N2) node. Even its next-gen Arizona fab (targeting ~2030 production) is fully booked before construction has even started. 🔥

AI just broke the fab cycle. The fabs can't keep up. https://t.co/wkEM6ZLWza

$TSM has become the de facto semiconductor index. It's now the proxy for the entire semiconductor industry.

$2 Trillion Market Cap: Inevitable


Summary: Bullish MU ahead of catalyst in 4 days; positions it as the core AI trade via HBM and SOCAMM2.

$MU "Micron is the invisible layer powering AI" -Micron Landing Page.

In 4 days, the world is about to learn that AI Inference runs on HBM and SOCAMM2.

Micron IS the AI trade. https://t.co/2czZtKGY4X

So what's up with Micron Technology $MU? Why did so many analysts lower the price targets but still rated it as Bullish? A bit contradicting isn't it? Well, here's the answer.

The DRAM spot prices have been mostly flat. The 'recovery' didn't come as soon as they initially https://t.co/GgCJ7xL1t0


The floor has been raised. AI Inference is arriving. Market has not priced it in yet. The rerating is not done.

Summary: Long TSM to $2T market cap on AI inference structural demand not yet priced in; MU implied same structural re-rating thesis.

$TSM just like $MU $DRAM. Structural shift. Not a cycle.

Every AI query. Every agentic workflow. Every autonomous system. Continuous. Persistent. Always on. All of it fabbed at TSMC.

The floor has been raised. AI Inference is arriving. Market has not priced it in yet.

HPC at 61% of TSMC revenue. Up from 41% four years ago. Every other segment declining.

Training built the first wave of demand. Inference is the wave that never ends.

Called $TSM at $2 trillion October 1, 2025.

The rerating is not done.


$TSM just like $MU $DRAM. Structural shift. Not a cycle.


Summary: Bullish SK Hynix on massive Q1 2026 earnings revision; DRAM prices surging 110-115% QoQ and HBM demand driving record operating profit projections.

$DRAM $EWY $MU SK Hynix is heading for a massive earnings shock in Q1 2026.

Hana Securities now forecasts $24.4 billion in operating profit for the quarter alone, a huge upward revision of ~$6.6B from their previous $17.9B estimate just two months ago.

This comes on the back of DRAM contract prices surging 110-115% QoQ (DDR5 16Gb now ~$30, 5x higher than six months ago), exploding NAND prices, and overwhelming demand for HBM driven by AI infrastructure.

Q1 revenue is projected at ~$35.4B (+203% YoY), with full-year 2026 operating profit now raised sharply to $153.4B (from $104B) and sales to $207.3B.

Q2 is expected to be even stronger at ~$38B in op. profit as B2C customers show weaker resistance to price hikes.

Brokerages are racing to raise targets: Hana and Daol at $1,059 per share, NH at $959. Currently, ₩877,000 KRW ($581) per share.

AI memory is printing serious money for Hynix.


DRAM contract prices surging 110-115% QoQ (DDR5 16Gb now ~$30, 5x higher than six months ago)


Summary: Bullish MU and EWY: chip wafer shortage persists to 2030 as AI demand structurally outpaces supply — a perpetual, not transient, cycle.

$MU $EWY "South Korea's SK Group Chairman Chey Tae-won said on Monday the global chip wafer shortage is likely to persist until 2030, as demand driven by artificial intelligence continues to outpace supply."

AI is not a 2-year car lease. It's a perpetual mortgage. https://t.co/Zua77BQCoq


Summary: Holds EWY and DRAM ETFs, long exposure to South Korean equities and memory sector.

@Nyx_Ferros Yeah Samsung and SK Hynix going wild. I own EWY and DRAM.

@TradexWhisperer You should check out SK Hynix today. +8%.


Summary: MSFT and META both relatively undervalued; implied long on both.

@dissectmarkets Both are relatively undervalued

@TradexWhisperer I love how $MSFT and $META are two of Ackman’s biggest positions


industry='Internet Content & Information'


Summary: Long TSMC; wins regardless of which chip company prevails; ignore noise, focus on fundamentals.

$TSM Ignore the noise. Fundamentals only. Patience. https://t.co/tcz37fGOCp


Summary: Long TSM, ASX, AMKR, INTC as advanced packaging plays on OpenAI's HBM-dense AI accelerator patent; also bullish MU/DRAM on same thesis.

$MU $DRAM - Advanced Packaging.

@OpenAI just filed a patent enabling dense HBM integration directly into AI accelerator architecture.

Everyone is talking about the HBM angle. Nobody is talking about what makes it physically possible.

This design is conceptually similar to Intel's EMIB. It requires 2.5D advanced packaging. Embedded bridges. Fine-pitch substrate routing. Precise chiplet placement at scale.

Without that advanced packaging infrastructure, the bandwidth and latency requirements of frontier AI workloads cannot be met. The silicon is only half the story. The packaging is what makes it deployable.

This is not just a memory thesis. It is an advanced packaging thesis wearing a memory label.

Long $TSM $ASX $AMKR $INTC

이번주에 공개된 특허 중 OpenAI의 칩 구조 특허가 있었네요. HBM 떡칠이라니 ... 이게 뭔가요. 🤣🤣🤣

아니다, 대한민국 국민으로서는 OpenAI가 칩에서 꼭 성공하기를 빌어야겠네요. 컴퓨터 유닛 하나당 HBM가 몇 개야 ... 🤣🤣🤣

@jukan05
@Semicon_player https://t.co/nmCPs6lomE


industry='Semiconductor Equipment & Materials'


Summary: Allocates 50% MU, 40% TSM, 10% SNDK as top conviction longs into year-end.

@daniel_koss 100% is not realistic since it doesn't bode well with psychology so I would go 50% $MU 40% $TSM 10% $SNDK

@TradexWhisperer If you'd go 100% all in until end of year, which stock would you pick, $MU ?


Summary: Bullish Micron: sell-off after strong earnings is a probabilistic buying opportunity.

@GarfyGarfield If you know probabilities, this is great news for micron

@TradexWhisperer every single killer earnings this year resulted on a sell off...


Summary: Bullish MU after-hours selloff following blowout earnings/guidance; author calls the dip a buying opportunity.

$MU Revenue +196% YoY, EPS $12.20 vs $9.31 expected, Q3 guide of $33.5B vs $24.3B expected and sells off after hours.

The market is giving you a gift.


Summary: Added to position on the dip; upside outweighs downside risk from here.

@vin11z I added on this dip. It can go lower but the upside were higher.

@TradexWhisperer Most obvious buy today imo
Reminiscent of Google at 150


Summary: Bullish Micron long-term; expects it reaches top-10 market cap within 5 years.

@earnings_watch Maybe it dips today due to high expectations but I think it goes to top 10 in the next 5 years.

@TradexWhisperer That's a big jump for Micron, but market cap doesn't always translate to performance.

With earnings on the horizon, it’ll be interesting to see if they can maintain this momentum or if the market will react differently.


ASE Holdings (the world's leading OSAT provider) plans to break ground on 6 new plants worldwide in 2026, the largest construction scale in ASE's history

Summary: Bullish on advanced packaging as the next AI infra bottleneck; ASE leading with 6 new plants and $7B+ capex, CPO mass production starting 2026.

$TSM $ASX $AMKR $INTC $DRAM

Advanced Packaging is Essentially Moore's Law in 3D and it is the next critical bottleneck in AI infrastructure.

ASE Holdings (the world’s leading OSAT provider) plans to break ground on 6 new plants worldwide in 2026,  the largest construction scale in ASE’s history

CPO (Co-Packaged Optics) Development: Mass production of CPO is expected to begin this year (2026).

CEO Tien Wu described the shift toward optical communications as an “undeniable trend,” though the timeline for meaningful economic benefits and broad adoption will depend on market dynamics.

Capital expenditure: ASE’s original capex budget for this year is US$7 billion, but it may be revised upward due to strong demand. Further details are expected at the upcoming earnings call.

Shrinking transistors is over. Shrinking distance is the new game.

Advanced packaging.

The speed of light has a speed limit. Distance is the enemy.

Advanced packaging is the solution.

$TSM $AMKR $ASX $INTC


Advanced Packaging is Essentially Moore's Law in 3D and it is the next critical bottleneck in AI infrastructure


Summary: Bullish MU and SNDK on sustained NAND spot price increases and constrained supply as capex shifted to HBM/DRAM.

$MU $DRAM $SNDK

NAND spot prices continue to climb.

Memory is a strategic asset. The more you have, the higher the quality of AI Inference. https://t.co/1g85RgDJED

$MU $SNDK $DRAM Shorts are fucked.

Double digit NAND spot price increases week over week for months straight

They forgot Micron, Samsung and SK are NAND powerhouses too. CapEx went to HBM and DRAM. Nobody is backfilling NAND capacity.

The shortage isn't resolving. It's https://t.co/Mv2NJe3kDA


$MU $DRAM $SNDK NAND spot prices continue to climb.


Summary: Bullish DRAM/MU: Nanya Tech hitting record revenue signals an industry-wide flood tide, not just a ripple.

$MU $DRAM Nanya Tech just hit record DRAM revenue.

Nanya holds 2-3% market share. A rounding error in this industry but when the smallest player is setting records...

...the tide isn't rising, it's flooding. https://t.co/57bX7bvTgf

$MU Signs of structural memory transformation during earnings today. Must Read 👇

Automotive: "The average car today has less than L2 ADAS capability, containing approximately 16GB of DRAM, while vehicles with L4 autonomy require over 300GB."

Robots: "Humanoid robots will be https://t.co/9rKtVnPhcB


Summary: Long META as the hyperscaler that won't slow datacenter spending and will absorb all AI demand.

@app_hyd What's logic behind slowing down?  Hyperscalers wants to lose demands? I think the one who doesn't slow down will absorb all the demand. I am going to bet that's $meta

@TradexWhisperer But eventually, Datacenter will be built and spending will slow down...


Summary: Shares/endorses HSBC's Street-high $750 PT on MU, implying 45% upside.

$MU HSBC just set the Street high at $750. That's 45% upside from here. https://t.co/4icusE0k7L

$MU Street-high $700 from Cantor.  Barclays at $675. KeyBanc at $600. All raised from $450. All Overweight.

The blowout outlook is speaking for itself. https://t.co/zMGjgGzthX


Summary: SNDK poised to gap up Monday; bullish on weekly chart momentum.

$SNDK Nasdaq-100. Poised to gap-up on Monday.

Back in December, something lit up on the weekly chart.
If you knew what it meant, you're up 240%+
If you didn't..... now you're curious.

🟦 $SNDK (W) BLUE-GREEN Candles. Bulls are building momentum 💰💷

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$MU Bargain of the Century ... $MU Golden nugget from the earnings: Groq needs DRAM and lots of it.

Summary: Bullish MU: low valuation, surging HBM/DRAM/NAND prices, and massive DDR5 demand from Groq's rack-scale architecture as a durable tailwind.

$MU Golden nugget from the earnings: Groq needs DRAM and lots of it.

"NVIDIA Groq 3 LPX implements up to 12TB of DDR5 in a rack scale architecture"

The LPX architecture features a unique "Fusion Memory" approach, implementing 12TB of DDR5 memory per rack alongside high-speed SRAM, allowing it to handle large model contexts in a tightly coupled, 256-accelerator configuration

12TB of DDR5 memory is an exceptionally large capacity, even by data center standards


Summary: MU's underperformance vs STX/WDC is irrational spillover from Korean memory geo/currency risk; forward PE discount doesn't make sense — implied bullish.

To be honest this is a Scarlett Letter woven by the Korean memory makers. SK hynix and Samsung trade in the Korean market. Geo and Currency risks... I think those characteristics are spilling over to Micron. This forward PE doesn't make sense when you have other cyclicals not behaving that way.

@TradexWhisperer So why is it taking so long to rip past 500 but STX and WDC are up 70% in 3 months? Genuine question


Summary: Bullish MU and SNDK: Jevons Paradox ensures AI efficiency gains will multiply memory demand, not reduce it.

$MU $SNDK Surprise Mfs

30 years of Jevons Paradox. Same pattern every time. Software got more efficient. Memory demand exploded anyway.

1995: Win 95 ran on 4MB
2005: Win XP needed 128MB
2026: AI models need TBs

Efficiency gains don't reduce consumption. They multiply it. https://t.co/YU81Uvo2Wz


Summary: Bullish MU on price hikes + robust 2025-26 demand; NVDA Groq 3 LPX needs 12TB DDR5/rack, driving memory demand.

$MU $NVDA The newly announced NVIDIA Groq 3 LPX (Inference Accelator) implements up to 12TB of DDR5 memory per rack.

Groq's 12TB is 3 - 6 times higher than what you'd find in a typical non-AI enterprise setup

The 12TB allows the Groq system to act as a massive "cache" for model weights, meaning it doesn't have to constantly fetch data from slower storage, which is why it can generate tokens so much faster than a standard server rack.

$MU Alerts Customers to Price Hikes, Signaling Robust 2025-26 Demand. Here's the letter from EVP of Sales

Valued Channel Partners, Recent market dynamics indicate that the memory and storage markets have started to recover, with growth anticipated through calendar 2025 and 2026. https://t.co/llVwj8NP4p


$MU $NVDA The newly announced NVIDIA Groq 3 LPX (Inference Accelator) implements up to 12TB of DDR5 memory per rack


Summary: Long TSM over the next 5 years.

@JohnPlatner @danreese347 That's too short of time frame. $TSM next 5 years.

@TradexWhisperer @danreese347 To that end, what would be your top five list to hold for the next 3 to 6 months?


Summary: Author shares/endorses multiple PT upgrades to MU (Cantor $700, Barclays $675, KeyBanc $600), all Overweight on HBM4 and durable AI demand.

$MU Street-high $700 from Cantor.  Barclays at $675. KeyBanc at $600. All raised from $450. All Overweight.

The blowout outlook is speaking for itself. https://t.co/zMGjgGzthX

$MU Nine Price Target Upgrades 🤯

Barclays went from $450 to $675 (Street High). The reasoning is the same everywhere: HBM4, Durable AI demand, and long-term agreements. Goldman Sachs is the lone Hold, and even they raised their target.

The wall of skepticism is crumbling https://t.co/k4BJCsrHj7


Signs of structural memory transformation during earnings today. Must Read 👇 … The AI Shift is Here

Summary: Bullish MU: structural memory demand transformation across auto, robots, PC, mobile, and data center signals durable long-term growth.

$MU Signs of structural memory transformation during earnings today. Must Read 👇

Automotive: "The average car today has less than L2 ADAS capability, containing approximately 16GB of DRAM, while vehicles with L4 autonomy require over 300GB."

Robots: "Humanoid robots will be AI-enabled and powered by a compute platform that rivals a high-end L4-capable automobile, requiring significant memory and storage. We expect this exciting new category to further underpin the long-term favorable dynamics shaping our industry."

PC: "PCs with on-device agentic AI have recommended memory specs of at least 32GB, twice the average PC."

Workstations: "The fast-growing category of personal AI workstations, such as NVIDIA DGX Spark and AMD Ryzen AI Halo, come in 128GB configurations, ideal for running large language models on device."

Mobile: "The mix of flagship smartphones shipping with 12GB or more of DRAM increased to nearly 80% in Q4, up from under 20% a year ago."

Data Center LP DRAM: "We sampled the industry's first 256GB LP SOCAMM2 product, built on our 1γ node, enabling 2TB of capacity per CPU. Quadrupling content from just a year ago."

Data Center Demand: "AI server demand (vs. traditional server) is driving DRAM and NAND data center bit TAM to exceed 50% of industry TAM for the first time in calendar 2026."

The AI Shift is Here

$MU I worked 21 years as an HBM, DRAM & NAND engineer.

AMA is open. Ask me anything.

I'll drop rare insights where I can. https://t.co/mNyHOKVofa


Summary: Bullish LITE to $950; expects sold-out capacity through 2028 within next two quarters.

$LITE back to $950

They expect to be fully sold out for all of 2028 within the next two quarters. https://t.co/GLkg5hWuyg

Investment theses win by targeting bottlenecks

HBM fixes GPU-to-memory wall (Memory Wall)
Photonics/Optics fixes server-to-server (East-West Traffic)

Memory Play: $MU $EWY (Samsung & SK Hynix)
East-West Play: $GLW (fiber) $LITE (laser/OCS), $AAOI $COHR (optics) $TSM (CPO) https://t.co/1iuv2viik4


The memory cycle is being structurally dismantled. This is the transformation bears refuse to see.

Summary: Bullish MU and Korean memory (EWY) on structural shift to multi-year binding supply contracts; calls bears blind to the transformation.

$MU $EWY The memory cycle is being structurally dismantled

Samsung is reportedly in talks with Google and Microsoft on long-term supply deals that could include $10B+ in prepayments. Unlike the toothless deals of 2019, these are designed to be binding.

Micron already signed its first five-year SCA. The entire industry is moving in one direction.

 This is the transformation bears refuse to see.

🚨 $MU Huge News for the Memory Industry

Micron signed its first-ever 5-year Strategic Customer Agreement, moving well beyond the typical one-year deal. Samsung and SK Hynix are following suit, pursuing 3 to 5 year contracts with major tech firms. Longer commitments mean https://t.co/sDbrrH2Aj9


$MU $EWY The memory cycle is being structurally dismantled


Summary: Bullish MU/AMD/TSM/DRAM: consumer recovery will stack on top of ongoing AI demand, real super cycle not yet begun.

$MU $AMD $TSM $DRAM

These stocks ran this far on AI alone.

Right now these companies don't need consumer recovery but when it returns, it lands on top of a structural AI deficit. First engine still running. Second engine igniting.

The real super cycle has not started yet.


These stocks ran this far on AI alone. when it returns, it lands on top of a structural AI deficit. First engine still running. Second engine igniting.


Summary: Endorses MU reaching $1T market cap within 12 months.

@TradexWhisperer There is no way Micron is not a 1T company before 12 months…


Summary: Bullish MSFT: shares Ackman's Pershing Square position thesis and endorses distribution advantage + enterprise AI centrality via Azure/M365.

$MSFT +4% Relative Strength Today. Here's why.

-Bill Ackman's hedge fund Pershing Square will disclose a new position in Microsoft (MSFT) in its quarterly 13F filing later today. Ackman described the valuation as "highly compelling" following the stock's recent decline.

-Pershing began building the stake in February, after Microsoft's Q2 results showed slower cloud revenue growth and higher spending, which caused the shares to slump.

-Microsoft sits at the center of enterprise AI adoption through its Azure cloud platform and Microsoft 365 (including the $30/month Copilot AI assistant).

-Ackman views concerns as overblown:

-The restructuring of the OpenAI partnership is a positive pivot to a more open, multi-model approach that better serves enterprise customers.

-He supports Microsoft's ~$190 billion capital spending plan for 2026 as necessary growth investment.

-This fits Pershing's pattern of buying high-quality tech stocks at attractive valuations (e.g., Alphabet after ChatGPT fears, Amazon post-tariffs, Meta after heavy AI spending announcements).

Don't underestimate the power of distribution advantage during AI Era. Every single Enterprise in the world depends on Window ecosystem.

$MSFT chart looks awful but its distribution advantage never expires.

The product doesn't have to be the best. It just has to be everywhere. Competitors build better tools. Microsoft builds better pipes and it reaches every single enterprise.

Unexpected things can happen 👀


Summary: Bullish TSM: Musk confirmation that SpaceX/Tesla are long-term major TSMC customers across EVs, rockets, and humanoid robots.

$TSM 🤝 $TSLA @SpaceX

Elon just confirmed SpaceX and Tesla will always be major TSMC customers. Not competitors.

Every Tesla on the road. Every Starship in orbit. Every Optimus robot taking a step.

TSMC silicon inside.

@SERobinsonJr SpaceX/Tesla will be always be major customers of TSMC and not competitors in the normal sense of the word


TSMC All In ... Just crushed Q1 with 58% profit surge, raised 2026 revenue guidance to >30% growth on "extremely robust" AI demand. 3nm already 25% of revenue.

Summary: Strongly bullish TSM: wins regardless of which AI chip company leads; Q1 beat, >30% 2026 growth guidance, capacity tight through 2027 on AI demand.

$TSM to scale down old 6" & 8" mature-node output (Fab 2 & Fab 5) to free up space for advanced nodes & higher-value tech. While legacy capacity tightens & prices rise 5-20%, TSMC is laser-focused on what matters: AI.

Just crushed Q1 with 58% profit surge, raised 2026 revenue guidance to >30% growth on "extremely robust" AI demand. 3nm already 25% of revenue.

AI chips rely on advanced nodes: Leading AI accelerators (e.g., Nvidia’s GPUs, Google TPUs, custom ASICs from hyperscalers) are manufactured on TSMC’s most advanced processes (3nm, soon 2nm) and advanced packaging (CoWoS, etc.).

These are the areas TSMC is aggressively expanding and prioritizing, not cutting. Recent earnings show TSMC raising its 2026 revenue outlook on the back of “extremely robust” AI demand, with high-performance computing already driving a large share of revenue and capacity remaining tight through AT LEAST 2027

The Mother of All Semiconductors Has Spoken


Summary: Buy the dip in MU and SNDK; DeepSeek/TurboQuant-driven selloff seen as overblown.

$MU $SNDK Dips like this don't come often.

Deepseek was BS
TurboQuant is another BS.

Act accordingly.


Summary: Bullish PLTR: dismisses Burry's short thesis; argues Palantir is irreplaceable AI integration fabric, not an LLM competitor.

Michael Burry thinks Anthropic eats $PLTR's lunch.

He has zero clue on what he's shorting.

Palantir isn't an AI model. It's the integration fabric that makes AI deployable across an entire enterprise.

Claude on Palantir isn't a threat. It's jet fuel.

LLM Agnostic

$PLTR valuation makes ZERO sense

But then why do institutions keep buying it?
What do they know that you don't?

I work in BIG DATA analytics and let me share the secrets of Palantir in the most basic way

Palantir has monopoly on Automated Governance, serving as the ultimate https://t.co/XGLRmO7rq8


This is bigger than most are reporting. Two generations of HBM4 moving simultaneously. The ramp is real.

Summary: Bullish MU: HBM4 mass production plus 48GB 16-high samples shipping simultaneously underscore a real ramp underappreciated by the market.

$MU This is bigger than most are reporting.

Micron didn't just confirm HBM4 36GB 12-high is in mass production. They've already shipped 48GB 16-high HBM4 samples to customers.

Two generations of HBM4 moving simultaneously. The ramp is real.

$MU Here's what Micron said about HBM4 during Q1 2026 earnings call:

"Micron’s HBM4, with industry-leading speed over 11 Gbps, is on track to ramp with high yields in the second calendar quarter of 2026, consistent with our customers’ product ramp plans."

“We have completed


Summary: Reiterates long MU conviction from $62; dismisses bears as missing a generational transformation in AI memory.

$MU Said it at $62. Still saying it now.

Bears and cyclical traders are anchored in the past. They mistake historical patterns for intelligence and miss the revolution unfolding right in front of them.

Recycling old narratives is EASY. Recognizing transformation takes VISION. Rear-view thinking feels smart until the market proves you wrong, or you realize you traded a generational winner for small profits.

$MU Bargain of the Century

PE Ratio: 15.5
Sales Ratio: 2.33

50% Increase in HBM (AI Memory) Sequentially. DRAM/NAND prices are surging. https://t.co/uTq6YMFnb2


Summary: Remains bullish on Micron; ongoing long position.

@snpal2000 Still Bullish and Still Patient about next

@TradexWhisperer Still bullish on Micron?

Any other picks you recommend looking into?


Summary: Long MSFT on distribution power and deep enterprise integration.

@MajorOcelot45 @SangheraCapital Microsoft's distribution power is something and they are deeply integrated to most companies on earth so I think they will go up eventually.

@TradexWhisperer @SangheraCapital I've noticed.. OpenAI and Microsoft have been quiet lately. While Google and Anthropic have been leading the way.

Microsoft bottom soon.. wall street is punishing, a tale as old as time.


Summary: Shares Bernstein's SNDK PT raise to $1,250 (from $1,000), Outperform maintained on stronger NAND ASPs and raised FY2027 EPS estimates.

$SNDK Bernstein Group raised its price target to $1,250 from $1,000 while maintaining an Outperform rating.

Bernstein increased its fiscal 2027 non-GAAP earnings per share estimate to $144 in its base case and $224 in its bull case on stronger NAND average selling prices. The firm’s base-case valuation applies 11 times through-cycle earnings, defined as the average of fiscal 2026-2029 base-case EPS of $114.

$SNDK $MU Some crazy data points worth paying attention to.

NAND contract prices outpacing DRAM including March. Enterprise NAND margins in some cases have surpassed HBM.

AI Inference demand is reshaping the memory and the storage market in ways nobody modeled.

Hyperscalers


Summary: Bullish on compute-demand beneficiaries MU, NVDA, TSM, TSLA; structural AI demand dwarfs supply and bears are wrong.

The Structural Shift of the Century

Look at this chart. That tiny bar on the left is available compute supply. That 1 terawatt bar on the right is Tesla and SpaceX demand alone. Not global AI demand. Just two companies. Bears are anchored in the past. One Chart. One Thesis.

$MU $NVDA $TSM $TSLA


Summary: Bullish MU: memory industry transformed by Agentic AI Inference, making memory a strategic asset.

$MU Are you mind blown yet?

Memory industry is going through a change because of Inference Scaling but more importantly because of Agentic AI Inference.

Memory is a strategic asset. https://t.co/7eu19E9x2Q

$MU Are you mind blown yet? Transformed. Forever. https://t.co/pfti29EQF6


Summary: HBM demand tied to AI leadership is a bullish signal for MU and DRAM broadly.

$MU $DRAM The model consuming the most HBM is also winning the AI race. That is not a coincidence. That is a demand signal. https://t.co/g91vrUOIV9


HBM sub-sector of DRAM: Micron, SK Hynix, Samsung


Summary: Bullish MU: Blackwell share revised up to 71% of 2026 shipments means more HBM3E sales than projected for Micron.

Blackwell just got revised to 71% on 2026 shipments. Previously 61%. Rubin got cut from 29% to 22%.

This means $MU will sell more HBM3E than projected. Blackwell runs on HBM3E.

SK Hynix and Micron are both ahead of Samsung in HBM3E maturity, especially on 12-high stack HBM3E https://t.co/Es0eKYd4MG


Summary: META looks cheap; bullish on Smart Glasses & Meta AI synergy as upside catalysts.

$META looks relatively cheap.

How are you feeling about Smart Glasses & Meta AI synergy? https://t.co/jOUCgZn0Or


TSMC is not a beneficiary of this trend, it is the prerequisite for it. TSMC holds the structural position regardless of which CPU architecture captures the agentic AI workload.

Summary: Long TSMC as the structural prerequisite for 256–512-core CPU buildout; wins regardless of ARM vs AMD vs Intel; $100B+ market by 2030.

Rise of Agentic AI Could Push CPU Core Counts to 512 and only $TSM 2nm advanced node can enable it.

$ARM: Arm's new AGI CPU already has 136 cores.

$AMD: Upcoming Zen 6 EPYC processors expected to reach up to 256 cores

$INTC: All-E-core Xeon designs have hit 288 cores, with next-gen scaling toward 512 cores.

$TSM: Reaching 256 to 512 cores per socket is physically impossible without leading edge nodes. You cannot pack that many high performance cores into a thermally and spatially viable die at 5nm or older. Every single player named (ARM, AMD, Intel) converges on TSMC 3nm and soon 2nm to make extreme core counts viable. TSMC is not a beneficiary of this trend, it is the prerequisite for it.

CPU Demand Surge: Agentic AI workloads consist of many independent jobs, flows, or batches that benefit from dedicated CPU cores. This could boost overall data center CPU capacity needs by more than 4x, creating a market opportunity exceeding $100 billion by 2030.

The $100B Market Creates a Structural Wafer Pull

A 4x increase in data center CPU capacity does not mean 4x more sockets necessarily, but it does mean dramatically more advanced node wafer starts over the next 4 to 5 years. Even if AMD wins the lion's share of server CPU market share, TSMC manufactures AMD's chips. If ARM architecture wins, TSMC still fabs the silicon. TSMC holds the structural position regardless of which CPU architecture captures the agentic AI workload.


Summary: Bullish TSM to $2T market cap as sole fabricator of expensive 3D SRAM; NVDA demand for costly memory grows every generation.

$NVDA $TSM $MU $DRAM

Feynman Platform is rumored to add 230MB - 500MB of 3D stacked SRAM alongside Custom HBM.

SRAM runs 200x the cost of HBM per GB and $TSM fabricates it.

Every generation NVIDIA needs more of the most expensive memory on earth. https://t.co/ftFw4JhVFm

$TSM has become the de facto semiconductor index. It's now the proxy for the entire semiconductor industry.

$2 Trillion Market Cap: Inevitable


Every generation NVIDIA needs more of the most expensive memory on earth


Summary: Bullish MU: NAND contract prices surging, AI inference demand insatiable, Micron strong on both revenue and margin; bears wrong to focus on Chinese DRAM noise.

$MU Surprise Mfs.

Bears built their thesis on Chinese DRAM spot price noise and ignored an entire business segment.

NAND contract prices are going crazy. AI Inference demand is insatiable. Micron is printing on both sides of the balance sheet.

Did you price that in? https://t.co/4RzzpJW9lE

$MU The bears tried. No PINK. No TRIM candles. The BLUE candle didn't care. $500 Incoming

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AMD Blue Candle → ATH. Training was NVDA's wave. Inference is AMD's.

Summary: Long AMD to ATH; EPYC+Instinct stack positioned to dominate AI inference cycle.

$AMD Blue Candle → ATH

EPYC CPUs. Instinct GPUs. One stack. Cost-optimized for AI Inference. Training was NVDA's wave. Inference is AMD's.

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$MU CXL. The endgame nobody is talking about. Structural Transformation.

Summary: Bullish MU as a structural beneficiary of CXL memory architecture enabling AI data-center memory pools.

$MU CXL. The endgame nobody is talking about.

-Right now every server has its own memory. Siloed. Capped. Expensive to scale.

-CXL breaks that. It lets CPUs, GPUs, and accelerators across hundreds of servers share one giant memory pool simultaneously. Petabytes. Globally addressable. No copying.

-The vision: a memory lake. Every server in a data center drinking from the same pool.

-Why does AI need this? Running a large model is like reading an entire library at once. The bigger the model, the more pages the chip needs to hold in memory simultaneously. Today's architecture hits a wall fast.

-CXL removes that capacity wall. More capacity than conventional DRAM. Higher bandwidth than NAND. Low latency for AI token generation.

Memory transformation started with HBM but it continues down the pyramid, SOCAMM2 and now with CXL enabled modules.

Structural Transformation.


Summary: BESI attracting M&A interest from LRCX and AMAT on surging HBM packaging demand; author frames all four tickers as beneficiaries of the HBM packaging boom.

$BESI $AMAT $LRCX $MU

HBM Packaging Is On 🔥

BE Semiconductor Industries (BESI), the Dutch leader in hybrid bonding equipment (critical for HBM and advanced chip packaging in AI), is attracting takeover interest due to surging demand for its strategic technology.

The company (market cap ~€14 billion / ~$16.2 billion) is working with Morgan Stanley to evaluate approaches.

Lam Research (U.S. chip-equipment firm) has held discussions and remains interested.

Applied Materials is a potential party; it already holds a ~9% stake (largest shareholder) acquired in April 2025 and is a long-term hybrid bonding partner.

Talks began mid-2025, paused earlier this year over U.S.-EU geopolitical tensions (related to Greenland), but have resumed recently.

Any deal would face Dutch national security review given the tech's strategic importance.

BESI shares surged (up to ~14% on the report, hitting record highs around €199–200), reflecting market excitement.


Lam Research (U.S. chip-equipment firm) has held discussions and remains interested


Applied Materials is a potential party; it already holds a ~9% stake (largest shareholder) acquired in April 2025 and is a long-term hybrid bonding partner


What do you think this chart looks like over the next 10 years. $28B by 2028. From under $1B in 2018. Now the agentic AI wave is arriving and CPU orchestration is the next bottleneck.

Summary: Bullish TSM: Intel outsourcing, ARM CPU ramp, and agentic AI wave drive TSMC revenue from ~$1B to $28B+ in advanced node CPU wafers over 10 years.

Fun Fact: Intel is TSMC's Customer.

About 30% $INTC of wafers are outsourced to $TSM

It is not legacy products either. Lunar Lake and Arrow Lake, both in high demand right now, are almost entirely manufactured on TSMC's 3nm N3B process. Intel's most important consumer CPU lineup. Built at TSMC.

And it goes further. Intel is reportedly an early adopter for TSMC's next generation 2nm process, targeting Nova Lake scheduled for late 2026 into early 2027. Intel is not just a TSMC customer today. It is lining up at the front of the queue for tomorrow's most advanced node.

For $TSM that blue x86 bar in the chart is not just AMD volume. A substantial and growing portion of it is Intel itself. The company whose struggles directly feed TSMC revenue growth quarter after quarter.

The ARM layer on top is the new growth vector. Small in 2021. Accelerating hard from 2025 onward. This is Qualcomm, Apple Silicon derivatives, NVIDIA Grace, Amazon Graviton, Microsoft Cobalt, and every custom silicon hyperscaler CPU that has abandoned x86 for efficiency reasons.

$28B by 2028. From under $1B in 2018.

Now the agentic AI wave is arriving and CPU orchestration is the next bottleneck. Every AI agent needs a CPU to coordinate tasks, manage memory, and route workloads in real time.

What do you think this chart looks like over the next 10 years.


Summary: Strongly bullish TSMC as the monopoly beneficiary of every AI/chip winner scenario; 75% CPU manufacturing share with TAM doubling to $120B by 2030.

$AMD $INTC $ARM Server CPU TAM just doubled. $60B to $120B by 2030.

That's cute.

Now look at $TSM market share in CPU manufacturing.

75%. One Company. Monopoly. https://t.co/QtGiDoh8cW

If $NVDA wins, $TSM wins
If $AVGO wins, $TSM wins
If $MU HBM wins, $TSM wins
If $SNDK HBF wins, $TSM wins
If $AMD AI chips win, $TSM wins
If $QCOM silicon win, $TSM wins
If $AAPL silicon win, $TSM wins
If hyperscalers ASIC wins, $TSM wins

Is that clear enough? TSMC All In


Summary: Bullish MU and TSM on surging HBM4 base die demand and strong pricing power from AI-driven HBM4 shipments.

$MU $DRAM $TSM HBM4 Base Logic Die Demand Is Through the Roofs

Samsung has raised prices for HBM4 base dies (logic of HBM4 stacks) by 40–50% since early 2026.

TSMC is contracted to build the logic base dies for HBM4 / HBM4E from SK Hynix and Micron

This increase is driven by surging AI demand and rapidly rising HBM4 shipments, which have created strong pricing power for Samsung and potentially TSMC as well.

$TSM is planning a major expansion of its Arizona operations of 12 semiconductor fabrication plants (fabs) and four advanced packaging facilities, plus at least one R&D center, according to the reports by DigiTimes (citing unnamed supply chain sources),

This would involve https://t.co/33JA85xW4R


strong pricing power for Samsung and potentially TSMC as well


Summary: Long MU: DDR4 spot prices 172% above contract with pure margin economics as tooling/R&D fully depreciated; extended production likely.

$MU DDR4 RAM prices quadruple. The Legacy Paradox.

-Spot prices in early 2026 are 172% higher than contract prices. That scissors gap dwarfs even DDR5's 76% spot-to-contract premium.

-DDR4 is now nearly 100% MORE expensive than DDR5 in spot markets. The old rule that legacy tech gets cheaper is broken.

-Why? Manufacturers phased it out too fast to free up capacity for HBM and DDR5. Demand didn't follow the script.

-I'm hearing from my sources that DDR4 production could be extended 12 to 18 months.

-DDR4 right now is essentially pure margin. Tooling fully depreciated. R&D zero. Fabs already paid for. Every dollar of that $80 spot price hits the bottom line harder than any new product still amortizing billions in capex.

$MU +5% today. Surprised? The BLUE candle called it.

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Micron is expected to out-earn Amazon by 2027. We are not done. You still can.

Summary: Still bullish MU; author's original call is up 1194% but claims more upside ahead, with MU expected to out-earn Amazon by 2027.

$MU just closed at $803.63.
My Bargain of Century call was $62. +1,194%.

Micron is expected to out-earn Amazon by 2027. We are not done. 115,000 followers chose wisely.

You still can.


Summary: Bullish NAND sector: AI inference driving explosive enterprise SSD demand, LTAs locking in supply, MLC NAND up 8x; SNDK, MU, Kioxia are key beneficiaries.

$SNDK $MU BOOM. NAND Long Term Agreements Are Here while MLC NAND Price Increased by 8x.

The AI boom is shifting from training (heavy on HBM/DRAM) to inference (real-time AI responses), driving explosive demand for NAND flash memory used in enterprise SSDs for data storage and context. This has led to widespread long-term agreements (LTAs) in the NAND sector, mirroring the trend already seen in DRAM/HBM. NAND flash is largely sold out for 2026, with shortages expected to persist into next year.

Kioxia (major Japanese NAND producer) is negotiating a three-year LTA with a major cloud/virtual server provider, extending until 2029, to lock in supply.

SanDisk (Western Digital subsidiary) finalized one LTA with advance payment terms and extended its joint investment agreement with Kioxia for the Yokkaichi and Kitakami factories until 2034. SanDisk agreed to pay $1.165 billion (~1.7 trillion KRW) to Kioxia and plans over 1 trillion KRW in additional investment anticipating strong NAND demand.

SK Hynix (via Solidigm) and Samsung Electronics are also expanding large-scale LTAs in enterprise SSDs.

Micron earlier signed a five-year strategic customer agreement with locked volumes and prices (in the DRAM context, setting the pattern).

128Gb MLC NAND flash price jumped from $2.18 (Jan last year) to $17.73 (March this year) — an eightfold increase.

$MU $SNDK NAND >> HBM?

Everyone is watching HBM. The smart money is watching NAND.

The cascade nobody modeled. AI inference can't be solved by HBM alone. The capacity demand spills over:

HBM → Server DRAM → NAND

Each layer tightens as hyperscalers vacuum up supply. And https://t.co/yjopADzKWb


Kioxia (major Japanese NAND producer) is negotiating a three-year LTA with a major cloud/virtual server provider

Kioxia TSE listing 285A.T; Japanese NAND producer context


Summary: Bullish PLTR as monopoly on Ontology+Agentic AI; long MU and SNDK as chip beneficiaries of inevitable value flow.

$PLTR Holy Lord. Just imagine.

Ontology + Agentic AI = AI on steroids.

Without ontology, AI can act but cannot understand. With $PLTR, the agent knows the full semantic map of an organization before it moves.

Inevitable: All value flows to Ontology and Chips.  $MU $SNDK $DRAM https://t.co/OgxUvwCYwz


Inevitable: All value flows to Ontology and Chips. $MU $SNDK $DRAM


Summary: Bullish MSFT; current weakness is transitory CapEx-efficiency concern, not structural, and will pass.

@fletcher_rt I am with you on this one. Big Enterprises will unlikely get rid of Microsoft ecosystems unless they start from the scratch. Dysfunctional stock price right now I think it's driven by CapEx efficiency. This shall too pass.

@TradexWhisperer Has anyone predicting $MSFT's demise ever worked with or for a large corporate? The idea they'll get rid of company-wide subscriptions for bespoke proprietary AI systems is for the birds.


Summary: Bullish TSMC to $3T market cap on dominant moat vs global foundry market — far outpacing the sector.

$TSM This is what a moat looks like in real time.

Global Foundry Market: +8%
TSMC: +36% 🤯

$3 Trillion Market Cap Incoming https://t.co/K7xnqqAaeQ

🟦 If $NVDA is the King of AI Chips, then $TSM is the Queen. In time, it will likely become a $2 trillion company.

Last four (W) BLUE candles combined have yielded a 116% return and ongoing.

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Summary: Shares/endorses HSBC Street-high $750 PT on MU, correcting the upside to 78%.

$MU HSBC just set the Street high at $750. Correction: That's 78% upside from here, not 45%.

$MU HSBC just set the Street high at $750. That's 45% upside from here. https://t.co/4icusE0k7L


Summary: Shares Wells Fargo PT raise to $470 (Overweight) on MU, peak EPS $50-60, HBM4 ramp, 2026 fully allocated.

$MU Wells Fargo raised its price target to $470 from $410 while maintaining an Overweight rating on the stock.

The firm views the setup as similar to last quarter, with focus on HBM4 confidence, continued price inflation, and long-term agreement visibility. Wells Fargo now sees peak earnings per share at $50 to $60 per share, with through-cycle earnings at $30 to $40 per share. Analysts currently forecast earnings of $34.10 per share for fiscal 2026, with the stock trading at a PEG ratio of just 0.19.

The firm expects Micron to address HBM4 competitive concerns, focusing on the NVIDIA Rubin cycle, and re-emphasize its first calendar quarter 2026 volume and yield ramp. The analyst note highlights Micron’s 11Gbps pin speed and competitive positioning with in-house CMOS base die.

HBM4 mix crossover will be a focus looking into the second half of the year, with ASP uplifts of 20% to 30%. Micron pulled forward its HBM4 volume shipment ahead by a quarter versus prior second calendar quarter 2026 expectations, with all of calendar year 2026 allocated and sold.

The company is targeting approximately 15,000 wafer starts per month capacity by the end of calendar 2026, representing 30% of HBM output. HBM4E sampling is planned for the second half of 2026 with volume targeted in 2027 and 2028


Summary: MU and SK Hynix made the smarter HBM4E call partnering with TSMC 3nm; Samsung's in-house approach is the riskier bet.

$MU $EWY C-HBM4E Base Logic Die Showdown

Samsung is going it alone, betting its 4nm in-house logic and 1C DRAM is good enough to compete while keeping costs down. I think that's the riskier bet. TSMC has spent years building high-performance logic dies for the world's most demanding AI GPUs. Samsung hasn't. And with custom HBM4E integrating memory controllers directly into the stack, the performance bar is higher than ever.

IMO, SK Hynix and Micron made the safer and smarter call. TSMC's 3nm logic is worth the cost and complexity, especially when winning Nvidia is the prize.

Maybe Samsung has a trick up its sleeve. Maybe this is a quiet attempt to revive its struggling foundry business. Either way, we'll see.

$MU Custom HBM4E (C-HBM4E). Literally, the most important HBM transformation that nobody is talking about.

HBM4E is already the next leap beyond HBM4. Faster. Denser. Built on a TSMC base die that acts as the foundation connecting all the DRAM stacks above it.

C-HBM4E takes it https://t.co/aFd89zn12R


SK Hynix and Micron made the safer and smarter call.


Summary: Rising AI compute prices in China signal surging demand/tight supply; bullish for compute hardware suppliers NVDA, TSM, MU.

$NVDA $TSM $MU $SNDK $LITE Compute Is Getting More Expensive in China. Just remember Price follows Demand.

- Major Chinese cloud and AI providers are raising prices for AI compute services amid surging demand and tightening supply of high-end computing power.

- Tencent Cloud announced around a 5% price increase for its AI compute services as well as Tencent Kubernetes Engine (TKE) and Elastic MapReduce (EMR) products effective May 9 2026.

- Alibaba Cloud is raising prices on compute card products such as the T-head Zhenwu 810E by 5% to 34% and increasing its CPFS (AI computing edition) file storage service by 30% with revisions starting April 18 2026.

- Baidu Cloud is hiking AI compute offerings by about 5% to 30% with adjustments taking effect from 00:00 Beijing time on April 18 2026.

- Zhipu has raised pricing for access to its most advanced AI models by at least 8% coinciding with the launch of GLM-5.1 marking multiple price hikes this year.

- The hikes reflect explosive growth in AI applications driving strong demand while high-end GPU and compute capacity remains limited creating supply-demand imbalances.

- Suppliers are increasingly prioritizing large stable orders and shifting focus toward revenue generation after years of heavy investment in AI infrastructure.

- The trend signals that computing power is becoming a scarce resource in China's AI sector with leading firms leveraging their scale to monetize services more effectively.

- Smaller companies startups and mid-sized firms face higher costs which may force cuts in non-core R&D delay projects or accelerate industry consolidation.


Summary: Long MU/TSM/AVGO: AI chip demand from OpenAI and Anthropic flows inevitably through Broadcom ASICs, TSMC fabs, and HBM memory regardless of model-war outcome.

$MU $TSM $DRAM $AVGO

OpenAI and Anthropic are both ordering custom ASICs through Broadcom. Every chip flows through TSMC. Every rack runs on HBM. The physical layer doesn't care who wins the model war.

-OpenAI is developing its first custom AI chip for internal use only, set to launch in 2026, in partnership with Broadcom. The chip design is being finalized for fabrication by TSMC.

-Broadcom reveals mystery $10B customer is AnthropicBroadcom CEO Hock Tan confirmed on the Q4 2025 earnings call that the previously unnamed $10B mystery customer from September was Anthropic.  Anthropic placed a $10B order for the latest Google TPU Ironwood racks (full server racks, not just chips) + an additional $11B order in the same quarter.

-Broadcom CEO Hock Tan confirmed on the Q4 2025 earnings call that the previously unnamed $10B mystery customer from September was Anthropic.  Anthropic placed a $10B order for the latest Google TPU Ironwood racks (full server racks, not just chips) + an additional $11B order in the same quarter.

-This makes Anthropic Broadcom’s fourth XPU customer (Broadcom also landed a fifth undisclosed $1B customer).

135,000 AI-written code commits. Per day. Just from Claude. That was 3,000 thirteen months ago.

Each commit is a compute event. Compute events consume memory. Memory demand flows to $MU. Fabrication flows to $TSM.

Silicon is eating software. https://t.co/JmUIzGgZ3x


Every chip flows through TSMC. The physical layer doesn't care who wins the model war.


OpenAI and Anthropic are both ordering custom ASICs through Broadcom.


Summary: Buying AMD and INTC; expects Agentic AI to drive both higher.

@MikeLongTerm I started to load up some $AMD and $INTC. Agentic AI should drive them higher.

@TradexWhisperer $AMD is trading at 16-20x forward P/S, and the cheapest Semi stock with highest growth in term of %


Summary: Bullish MU: even at $1000, forward PE still cheap with 5-year LTAs not yet priced in.

@Mor34832Morgan Even at $1000. The forward PE is still very cheap. 5 year LTAs yet be priced in.

@TradexWhisperer I didn't think we'd get this far this fast on $MU but I'm pleasantly surprised. $1000 might happen before summer even starts. That's insane.


Summary: Endorses TER as a testing-sector pick.

@TradexWhisperer You forgot testing: $ter & $aehr


Summary: Extremely bullish on storage, bandwidth, glass, and light infrastructure plays as AI demand explodes: MU, SNDK, TSM, LITE, GLW, COHR.

Books become movies in a single prompt. Anyone can do it.

We are in the earliest innings of what AI will consume. Storage. Bandwidth. Glass. Light.

Can't be bullish enough on $MU $SNDK $TSM $LITE $GLW $COHR.

https://t.co/XxAKwUlbd5


industry='Scientific & Technical Instruments'


Summary: Bullish TSEM on Silicon Photonics and Power Management themes; expects another move up.

$TSEM Silicon Photonics + Power Management

It's going BLUE, again.

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Investment theses win by targeting bottlenecks

HBM fixes GPU-to-memory wall (Memory Wall)
Photonics/Optics fixes server-to-server (East-West Traffic)

Memory Play: $MU $EWY (Samsung & SK Hynix)
East-West Play: $GLW (fiber) $LITE (laser/OCS), $AAOI $COHR (optics) $TSM (CPO) https://t.co/1iuv2viik4


Summary: TSM is a must-own in semiconductors; decisive bullish verdict.

@ShadowWuSK Tsm is a must https://t.co/oPChFuYARi


Critical materials monopoly hiding in plain sight. AI needs fiber. Fiber needs lasers. Lasers need InP.

Summary: Bullish AXTI as a critical InP materials monopoly in the AI→fiber→laser supply chain.

$AXTI Volatile? Yes. But those BLUE candles hit different. AI needs fiber. Fiber needs lasers. Lasers need InP. Critical materials monopoly hiding in plain sight.

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Summary: Recommends rotating VOO gains into QQQ and SOXX to capture AI-driven upside.

@MaxEhrlich $VOO is chill but gains are also chill. Make a tidy little bit more spicier by putting your VOO gains to $QQQ and some to $SOXX. With AI taking off, you may want to be in this revolution.

Not financial advice.

@TradexWhisperer Is VOO and chill still a viable option in today’s market climate?


Summary: MU implied as the one truly transforming at 8x fwd P/E; WDC and AMD implicitly less compelling at much higher multiples.

$MU 8x Foward P/E
$WDC 30x Forward P/E
$AMD 46x Forward P/E
$INTC 125x Forward P/E (Intraday)
$INTC 155x Foward P/E (AfterHours)

The market is calling all of them "cyclicals."
Only one of them is about to be truly transformed. https://t.co/1zIC4j4wYe


Summary: Bullish TSM toward $2T+ market cap on record revenue, five new fabs, and 2nm at 70% CAGR.

$TSM +7% New all time highs.

A $2.4 trillion company made a power move.
Record revenue. Five new fabs. 2nm ramping 70% CAGR

It's coming. https://t.co/2fL9MlGCdn


The real breakout has not even happened. The market has not priced this in yet.

Summary: Bullish on memory sector: multi-year contracts ending boom-bust cycles drive PE expansion; MU real breakout not yet happened, Samsung/Hynix also beneficiaries.

🚨 $MU $DRAM $SNDK Important Reminder

Huge inflection point for the memory industry.

Micron signed its first ever 5 year Strategic Customer Agreement. Not one year. Five. Samsung and SK Hynix are following suit, pursuing 3 to 5 year contracts with major tech firms.

For decades, memory has been defined by cycles. That is ending.

Multi year commitments bring predictable revenue, operational stability, and structural dampening of the boom bust cycles that have kept PE multiples compressed for 30 years.

One year deals gave Wall Street an excuse to call memory cyclical. Five year deals remove that excuse.

As revenue visibility extends, PEG ratios move toward 1.0 and PE expansion follows. The market has not priced this in yet.

The real breakout has not even happened.


Samsung and SK Hynix are following suit, pursuing 3 to 5 year contracts with major tech firms.


Summary: Samsung will recover and turn green intraday as market recognizes the news as bullish for memory pricing via added shortage.

@JungleStocks watch go back up green later today when people realize it's bullish for memory price. It adds shortage.

@TradexWhisperer Well samsung 🟥 https://t.co/GJHJsN5RsU


Summary: Endorses memory shortage / PE expansion thesis; bullish Micron.

@OpenClawCentral It all seems inevitable. Massive data to support that PE expansion will happen.

@TradexWhisperer Rerate incoming.

Elon litterally said the big 3 are not making enough memory and that he would buy all they would or could produce.  Read that again!

Memory to remain in shortage.  I am all in.. $MU $DRAM $EWY

Micron 🚀🚀 https://t.co/rehUq0nXKh


Summary: Bullish on memory sector; large context demands seen as a tailwind.

Memory sector basket: Micron, SK Hynix, Samsung Electronics

@asymmetricfocus Soooooo much context for mythos. That's going to be prohibitively expensive 🤣 but bullish vector for memory


HBM is not storing data. It is enabling intelligence. Cognitive Capacity Enhancement is NOT commodity. It's a strategic asset.

Summary: Bullish MU on HBM as strategic inference enabler (GB300: +50% HBM → 2.7x throughput, 60% lower cost/token); bullish NVDA on $75.2B data center, up 92% YoY with GB300 ramp leading.

$MU $DRAM 50% more HBM delivered exactly 50% better AI Inference on GB300 Blackwell Ultra.

Read that again.

$NVDA Data Center: $75.2B. Up 92% YoY. GB300 is leading the Blackwell ramp.

288 GB HBM3E per GPU vs 192 GB on GB200. 12Hi stacks. 8 TB/s bandwidth per GPU. 1.5x overall AI performance. 2.7x throughput. 60% lower cost per token.

HBM is not storing data. It is enabling intelligence.

In inference (especially long-context, reasoning, agentic AI), memory capacity/bandwidth is often the bigger bottleneck than raw FLOPS. The extra HBM lets the GPU keep more of the KV cache (key for attention) on-package, which directly boosts effective throughput and lowers cost-per-token far beyond the raw 1.5x compute number.

Real inference gains are often higher due to the memory + compute combo enabling better software efficiency (e.g., 2x attention acceleration in some cases).

Cognitive Capacity Enhancement is NOT commodity. It's a strategic asset.


$NVDA Data Center: $75.2B. Up 92% YoY. GB300 is leading the Blackwell ramp.


Summary: Bullish on cybersecurity names (CRWD, FTNT, ZS, PANW, S) over the next decade as agentic AI makes threats exponentially worse.

Some of you have already been scammed by fake accounts "impersonating" me.

No verified checkmark. Wrong username. Wrong name. Loaded with emojis. Lousy impersonation job.

This is exactly how I am starting my Agentic AI thread.

Now here is what concerns me even more.  Because what you just saw is a human scammer doing this with bots or macros.

Imagine what happens when AI agents can do this at scale. Millions of convincing fake accounts. Personalized messages. Perfect grammar. No emojis needed. Running 24 hours a day without anyone sitting behind a keyboard.

Agentic AI will make this exponentially worse. The cybersecurity names. I strongly feel like they are a necessity. Perhaps not today but over the next decade, they will be critical.

Be careful out there.

$CRWD $FTNT $ZS $PANW $S

---

30 scam bots blocked today. Just today.
That is humans doing this badly.
Agentic AI will do it perfectly. At scale. Around the clock.
Not just scams. Hacking into lives and systems.
We need better cybersecurity.
Good Agents vs Bad Agents.
I've spoken.


Summary: Bullish memory (MU) and TSM on BofA's $1.96T semi TAM by 2030, with $900B in memory driven by AI/LLM demand.

$MU $DRAM $TSM $NVDA Bank of America Projections

$1.96T semi TAM by 2030. $900B is memory.

Nearly half. Why half?

Because LLMs without memory are stupid. Memory is what makes AI intelligent. The market is telling you where the value lives. https://t.co/2KKTdZ4nju


$1.96T semi TAM by 2030. $900B is memory. Nearly half.


Summary: Long MU: cheapest at 9x among peers, sold out through 2026-2027, record margins, critical AI infrastructure supplier.

$MU 9x. $INTC 48x. $MRVL 78x. $ARM 134x.

One of these companies is sold out through 2026 and likely 2027, generating record margins, and supplying the most critical component in AI infrastructure, the Cognitive Capacity Layer.

It is the cheapest one on the list. https://t.co/pCRrDkmtpQ


Summary: AI-driven demand pushes DRAM prices higher globally.

@Scomfish Which drives the DRAM and prices higher globally.

@TradexWhisperer ? Essentially entire memory demand explosion has been from AI buildout, not consumer products...


Summary: Memory cycle flattening via LTAs + HBM supply constraints drives multi-year re-rating toward 20+ forward PE for memory makers.

$MU $DRAM $005930 $000660

How will the memory industry flatten the cycle?

The next wave of LTAs between memory makers and hyperscalers will trade away the extreme peak pricing of the old boom cycles in exchange for stability. Both sides benefit. The highs get lower but the lows get higher. The amplitude compresses over time. Revenue becomes more predictable. Margins become more durable. And the "cyclical" discount in the multiple starts to erode.

The leverage? HBM. It consumes 3x more wafers per bit. That supply constraint gives memory makers the negotiating power to lock in these LTAs on favorable terms.

It might be 2029. Maybe even 2030. A slow, relentless grind higher all the way to a forward PE of 20+


The highs get lower but the lows get higher. The amplitude compresses over time. Revenue becomes more predictable. Margins become more durable.


Summary: Bullish on Z-Axis Trade basket (TSM, ASX, AMKR, INTC) on advanced packaging as a defining next-gen capability, catalyzed by Intel's hire of former SK Hynix CEO.

Pay attention to the Z-Axis Trade. $TSM $ASX $AMKR

$INTC just hired Seok Hee Lee, Former President and CEO of SK hynix, as EVP of Intel Foundry to lead Advanced Packaging.

CEO Lip-Bu Tan’s Comments: Emphasized that advanced packaging and system integration are “defining capabilities” for next-gen systems. Lee’s expertise will help scale technologies like EMIB-T and HBI to high-volume production.

$ASX +4% $AMKR +8% $INTC +8%

I am coining a new term here on X

"The Z-Axis Trade" $TSM https://t.co/vu4JUMaNxl


Pay attention to the Z-Axis Trade. $TSM $ASX $AMKR


Pay attention to the Z-Axis Trade. $TSM $ASX $AMKR

$INTC just hired Seok Hee Lee, Former President and CEO of SK hynix, as EVP of Intel Foundry to lead Advanced Packaging.


Summary: Adopts research revising AMD server CPU growth to 23% and INTC to +3% for 2026; AMD is the stronger call, INTC faces dual headwinds; TSMC benefits from both.

Interesting CPU research from a reputable firm.

This firm revised $AMD server CPU shipments from 14% to 23% growth for 2026. $INTC revised from negative 3% to positive 3%. $ARM adoption accelerating across AWS, Google, Meta, and NVIDIA. Here are the details.

INTEL

Server CPU shipment projection revised from negative 3% to positive 3% YoY for 2026. The upward revision is driven by recent growth in demand for AWS inference servers, which strengthened order pulls for both Emerald Rapids and Granite Rapids.
Emerald Rapids is expected to become the mainstream platform in 2026 with penetration potentially exceeding 40% as CSP and enterprise markets complete their platform transitions.

However, Intel continues to face dual pressures. The enterprise market remains reserved in demand, and AMD continues to expand in the CSP sector. Both of these dynamics are yielding pressure on Intel's market share in cloud and enterprise.

AMD

Server CPU shipment projection revised from 14% to 23% YoY for 2026. The revision reflects CSPs' continued incorporation of AMD platforms for new projects and the swift increase in AI inference workloads.

Platform breakdown: Turin: becoming AMD's mainstream high performance platform in 2026, gradually replacing Genoa. Bergamo: retaining approximately 15 to 20% penetration, mostly driven by demand from social media applications such as Meta. Venice: entering small scale mass production starting Q2 2026. Penetration rate could approach 10% by Q4 2026 if qualifications proceed without issues. Venice will initially focus on incorporation for AMD's AI server Rack Helios.

AMD's competitive advantage in the server market continues to rest on its superior performance per watt ratio and product cadence.

ARM ARCHITECTURE

The penetration of ARM architecture in cloud data centers continues to rise, driven by two forces: CSPs adopting in-house CPUs and strong demand from NVIDIA's AI platforms.

AWS Graviton: expected to further increase adoption in 2026, with annual shipments approaching 1.4M units. Google Axion: shipments projected to climb to nearly 1M units, propelled by TPU v8 rack deployments. Meta AGI CPU: co-developed with ARM, beginning to ramp in volume this year. NVIDIA Vera CPU: shipments estimated at around 3M units for 2026, driven by GB series AI server rack volume growth and the introduction of the VR200 platform in H2. Given NVIDIA's recent aggressive promotion of standalone Vera CPU rack solutions, an upward revision of Vera CPU shipments cannot be ruled out.

STRUCTURAL SHIFT

While demand for x86 server CPUs continues to grow, the competitive landscape is undergoing a structural shift. AMD is steadily expanding its market share in cloud data centers. Intel continues to face pressure from cautious enterprise demand and product transition cycles.

As AI server architectures rapidly evolve and CSPs expand deployment of in-house chips, the ARM CPU architecture has become increasingly important in the data center sector. Driven by workloads such as AI training, inference, and scale out applications, the adoption of ARM CPUs is poised for continued growth and serves as a critical direction for future cloud and AI infrastructure development.

Reminder: Intel has multiple narratives beyond the CPU. Advanced packaging (EMIB) and foundry. Whether any of those turn into real sustainable growth is an entirely different story.

Also AMD & ARM growth = $TSM TSMC Growth

$AMD $INTC AI Inference & Agentic AI Tailwind. Is Market finally pricing in the CPU necessity?

-AMD CEO Lisa Su disclosed at the March 2026 Morgan Stanley TMT Conference that server CPU demand has "far exceeded" prior forecasts.

-Meta and AMD announced a five year, $60 billion https://t.co/F21QcDSkXM


Server CPU shipment projection revised from negative 3% to positive 3% YoY for 2026. However, Intel continues to face dual pressures.


Summary: Calls TSM $550 as inevitable from current ~$462 level.

@TradexWhisperer F , didn’t know $TSM 462 now …


Summary: VPG is taking off — bullish near-term move.

@kostea12 Longterm it makes sense but not sure about short term. $VPG is taking off btw.

@TradexWhisperer What do you think about Oust, and other robotics companies?


Summary: Bullish memory sector: low multiples with revenue and margin expansion just beginning as HBM consumes DRAM wafer supply.

HBM memory basket: Micron, SK Hynix, Samsung

@JeffBro52400644 Well said. Math isn't hard. Multiples are low and we are just getting started. HBM is devouring DRAM wafers and there is much less left servers, smartphones, pcs and automative. Easy math.

@TradexWhisperer What’s crazy is we have not even gotten to “sky high” multiples that you would see in a bubble…The market is just playing catchup now as are the analysts. And I do not think people understand, you are getting a massive revenue expansion (top line) on top of margin expansion,


HBM is devouring DRAM wafers and there is much less left servers, smartphones, pcs and automative. Easy math.

DRAM sub-sector basket: Micron, SK Hynix, Samsung


Summary: Bullish MU ahead of earnings; author endorses Stifel's tripled PT and calls for a re-rate, saying 'we are just getting started.'

$MU Stifel TRIPLED their old PT ahead of earnings.

Three of them set $1,500 targets.

Re-rate Incoming. We are just getting started. $DRAM https://t.co/d0T1Vppxva


Summary: Names Palantir as the biggest software beneficiary of Agentic AI; bullish on the stock.

@agaharu555 The biggest benefactor of Agentic AI in the software side will be Palantir.

@TradexWhisperer 何回も何回も読み直しました。
PLTRに対して強気になれました。

SaaS企業のトップとして、今は軟調だけど、MUみたいに跳ね上がる事を信じています。

いつも有益な情報をありがとう。

皆さんこのポストは永久保存するべきだよ。


Summary: Ongoing high-conviction long TSMC; adds free cash without hesitation, calls it a pseudo-monopoly with stable, predictable cash flows — 'sure free money'.

Token values are going up and their pricing will go up with higher productivity from leading companies.. Right now, I think they do not want to raise prices because they want to make the barrier high, stay as psedo-monopoly as they are right now. I guess that makes the business more stable and predictable than not and that makes my position size higher. Any free cash, I tend to just put in on $TSMC without any hesitation of how much I have.

I am not looking for an explosive growth like optics and memory but this thing is a sure free money.

@TradexWhisperer Agree with all of the above. I have been long $TSM since 2023. This is as near a monopoly as it gets in the Semi trade (apart from maybe $Asml).

However, the question is one of pricing power. How much of that is there at the fab level? Is that where the most value in the chain


Summary: Most short-term profits are being deployed into TSM; ongoing long position.

@TimotheeC95 $TSM most of by short-term profits go into $TSM.

@TradexWhisperer My research suggests the same , your calls are amazing by the way good stuff 👌

Mind me asking what you are most invested in? Besides micron ?


Summary: Bullish TSMC on 11x AI wafer demand, 70% CAGR advanced nodes, CoWoS >80% CAGR, $1.5T chip market by 2030, and aggressive capacity expansion.

$TSM $UMC $GFS $ASX $AMKR $INTC

TSMC's extremely bullish projections at Taiwan Technology Symposium from last Month. Must Read.

AI Wafer Demand: Projected to rise 11x from 2022 to 2026 for AI accelerator wafers.

Capacity Expansion: Advanced process nodes (2nm and A16) → 70% CAGR from 2026–2028.

CoWoS advanced packaging → >80% CAGR from 2022–2027.

Semiconductor Market Forecast: TSMC now expects the global chip market to exceed $1.5 trillion by 2030 (up from a prior $1 trillion estimate), fueled by AI.

Regional Demand: Asia-Pacific customers consumed over 2.1 million 12-inch equivalent wafers last year, equivalent to stacking more than three Taipei 101 towers.

Plans for nine new phases of wafer fabs and advanced packaging facilities in 2026.

Arizona ramp: First fab in production, second in tool move-in (2H26), third under construction; fourth fab + packaging site starting this year. Arizona output expected to grow 1.8x YoY by 2026 with Taiwan-comparable yields.

Technology Roadmap: CoWoS: Current 5.5-reticle version (world’s largest) at 98% yield. Plans include a 14-reticle version with 20 HBM stacks in 2028, scaling to >14 reticles and up to 24 HBM stacks in 2029.

SoW (System on Wafer): Can integrate up to 64 HBM stacks + 16 CoWoS modules (>40 reticles). Logic-only version in production (2024); HBM-integrated version targeted for 2029.

SoIC (3D stacking): Massive improvements in interconnect density and efficiency; scaling to finer pitches (down to 4.5-micron by A14).

COUPE (Silicon Photonics): 200Gbps Micro Ring Modulator now in production, 4x better energy efficiency and 10x lower latency than copper


Summary: Bullish TSMC, Micron, and DRAM broadly: CoWoS/CoPoS roadmap removes physical HBM stack limits, driving structural memory demand growth through 2029.

$TSM $MU $DRAM $ASX $AMKR

CoWoS: 8 to 12 HBM stacks
CoPoS (2028): up to 16 HBM stacks
Next gen (2029): up to 24 HBM stacks

Advanced Packaging innovation IS memory demand growth. TSMC is spending billions to remove the only physical limit on how much memory ships with every GPU. https://t.co/r25uHEnhIg


Advanced Packaging innovation IS memory demand growth


Summary: Long TSM as AMD's EPYC Venice 2nm ramp and server CPU market growing 35%+ annually to $120B by 2030 drives TSMC volumes; AMD also implicitly bullish.

If $AMD wins, $TSM wins.

AMD’s next-gen EPYC “Venice” processor has entered production on TSMC’s 2nm technology and Advanced Packging, with future output also planned at TSMC’s Arizona fab.

Sserver CPU addressable market to grow more than 35% annually, exceeding US$120 billion by 2030.

The follow-on “Verano” (6th Gen EPYC) will also use 2nm and introduce memory innovations like LPDDR for better AI/cloud performance and efficiency.

US$10+ billion investment in Taiwan’s ecosystem: AMD is expanding advanced packaging capacity with partners like $ASX, SPIL, and PTI. This includes next-gen 2.5D bridge interconnect technology (EFB architecture) to boost bandwidth and power efficiency for AI infrastructure, particularly supporting Venice CPUs

This is why I own $TSM.

TSMC does not pick sides. It collects from all of them.

$MU and $DRAM SK Hynix need it because HBM must be physically bonded to the logic die during the CoWoS process. Memory and packaging are now one supply chain.

$ARM needs it because virtually every https://t.co/hCFArBAd6a


Summary: Bullish MU on structural HBM market share (~23%) and NVIDIA's need for 3-supplier diversity to maintain pricing leverage.

They will take 23% of the entire HBM market. Nvidia will have to respect each respective memory maker's capacity so that their supply is from 3 (pricing power) rather from 2. You disrespect that market share, you disrepect the fab capacity of memory maker and they will no longer expand which means Nvidia has driven itself two 2 suppliers, losing pricing advatange. (This is assuming companies each have a yielding HBM not like when Samsung massively failed on HBM3e).

@TradexWhisperer 30% looks smart in a deck, but where's the HBM demand showing up for $MU right now?


Summary: Endorses Hanwha analyst's SK Hynix PT raise to 4.3M KRW (+55.6%); structural re-rating thesis on LTA/HBM reducing cyclicality.

$DRAM $MU On Jun 22nd, Park Jun-young, an analyst at Hanwha Investment & Securities, raised the PT for SK Hynix to 4.3 million won. This represents 55.6% upside.

Researcher Park explained, "Korea's memory industry is overcoming its past weaknesses based on powerful weapons such as LTA and HBM"

In other words, SK Hynix is no longer a highly cyclical memory company; it can now sustain high profits consistently.

No longer justifies low valuation and should be valued more like global tech peers.

Exactly what I said in Jun 13th.

$MU $DRAM $005930 $000660

How will the memory industry flatten the cycle?

The next wave of LTAs between memory makers and hyperscalers will trade away the extreme peak pricing of the old boom cycles in exchange for stability. Both sides benefit. The highs get lower but the lows


Summary: Maintains high-conviction long MU at 9x forward; calls prior 66% gain just a warm-up with more upside ahead.

$MU +66%.  $SNDK +63%. In one month

Last month you asked "what is next." Next month you will ask again.

My answer has not changed since my Bargain of the Century call at $62. $DRAM

9x forward. Everything so far was just a warm up. https://t.co/MISafAsFAN

$MU Bargain of the Century

PE Ratio: 15.5
Sales Ratio: 2.33

50% Increase in HBM (AI Memory) Sequentially. DRAM/NAND prices are surging. https://t.co/uTq6YMFnb2


Summary: Bullish MU: CEO signals disciplined supply ramp — equipment added only on confirmed demand, not forecasts.

$MU $DRAM "Is Micron overbuilding?"

Sanjay's answer: Discipline.

Shells go up. Equipment goes in only when demand is confirmed. Real time. Not forecasted. Confirmed.

"Bring up this supply with discipline." https://t.co/ISacF0DWnv


Summary: Expects Palantir to return to $222.

@ManyFucked Back to $222, eventually.

https://t.co/erHSknt3yS

@TradexWhisperer Do you have price target for Palantir?


Summary: Micron undervalued (long) and space stock overvalued (short); expects both to converge to fair value.

@ThebigMtrades This ain't absolutes. There is black, there is white but there are whole bunch of other colors in between. It's a spectrum.

Space ix overvalued and Micron is undervalued. Meet in the middle, Mr. Market.

@TradexWhisperer $MU is lower than $spcx because $spcx is overvalued not because $MU is super undervalued.

Still think $mu goes up further before stabilizing but just my thoughts.


Summary: Recommends DRAM ETF as best play for lower-risk exposure to memory/HBM cycle + booming RAG demand.

@MichaelRu21865 For most you that don't have the risk tolerance (HBM race and G1 - G4 cache tier prioritization), $DRAM is best. It also covers the RAG which I think is booming.

@TradexWhisperer Is DRAM the best option to buy now when compared to MU and SNDK? What’s your opinion?


Summary: Bullish TSM: pattern of blue candles followed by upside continues as price presses upper Bollinger Band.

$TSM hasn't touched the lower Bollinger Band since the tariff selloff.

Every BLUE candle since then? Followed by upside. Now pressing the upper BB. Send it 🚀

300+ charts daily. Try it free:
https://t.co/ZQDP5HCFyq https://t.co/QjS0SZ2wjG


Summary: Bullish on HBM/DRAM demand trajectory as AI capabilities and memory requirements only grow from here.

Today's AI is the least capable version you will ever interact with, running on the least amount of HBM it will ever be equipped with.

The trajectory from here has only one direction.

$MU $DRAM $SNDK


The trajectory from here has only one direction.


Summary: PLTR recovering back to $222; near-term headwind from software sector sentiment but bullish longer term.

@ShredRyerson Back to $222 but it will take a while. Software is getting the hate.


625x More Memory Demand by 2028 vs 2022… supply takes years to expand. Demand is not slowing.

Summary: Shares Dell CEO's projection of 625x memory demand growth by 2028 with supply lagging; implicitly bullish on memory stocks/sector.

$MU $DRAM $SNDK Holy Shit

625x More Memory Demand by 2028 vs 2022

That is Dell's CEO projecting memory demand growth

His warning: supply takes years to expand. Demand is not slowing.


Summary: Bullish on advanced packaging / 3D stacking / HBM beneficiaries (TSMC, AMKR, MU, AMAT, BESI) as Z-axis scaling owns next decade of AI compute.

Moore's Law is dead. AI is ALL about Z-Axis.

Advanced Packaging. 3D Stacking. HBM. CoWoS.

AI doesn't scale on flat plane anymore. It scales upward. The companies that own the Z-Axis own the next decade of AI compute.

$TSM $ASX $AMKR $INTC $MU $DRAM $AMAT $BESI https://t.co/Iwc1DaACO0

$TSM $ASX $AMKR $INTC Steady Rise of Advanced Packaging

TSMC’s CoWoS wafer ASP has reached ~$10,000, positioning advanced packaging as a major future profit driver.

High-value packaging: CoWoS ASP now rivals advanced logic nodes due to explosive AI demand, making it one of the https://t.co/zwawv4Cw5w


Summary: Bullish MU: rejects dot-com bubble comparison citing oligopoly structure, HBM/diversified product mix, AI/auto end markets, and multi-year hyperscaler contracts.

$MU $SNDK I respect Charlie Bilello, but comparing $MU today to the dot com era is lazy analysis. Here's the breakdown why

Industry Structure
2000: 20+ $DRAM players in a commodity knife fight
2026: 3 player oligopoly with pricing power and long term agreements

Product Mix
2000: Commodity DRAM for PCs
2026: HBM, SOCAMM, NAND, DRAM across a diversified portfolio

End Market
2000: PC dependent
2026: AI Data Center, Automotive, Graphics, Physical AI

Business Model
2000: Spot pricing, zero visibility,
2026: Up to 5-year Long term contracts with hyperscalers, structural demand floor


Summary: MU and SNDK are deeply undervalued at current multiples; even at half the sector-average PE (17x vs 34x) they imply $1,700 and $2,650 respectively.

If you re-rate $MU and $SNDK to 17x forward PE

$MU is $1,700 $SNDK is $2,650

It's called the "Embarrassment Case."
The semiconductor sector average is 34x.

17x is only half. $DRAM

Half the credit for companies building the Cognitive Capacity of AIs, the KV Cache.


If you re-rate $MU and $SNDK to 17x forward PE $MU is $1,700 $SNDK is $2,650