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AI & Tech Trends

Breaking Down Great Companies & Their Business Models

Investment Thoughts & Market Insights

#US Stocks| #HKStocks | #AI | #Technolo

[Stock Research @dmallangg]

$SMCI — BOOM! 🚀

Recommended it before the market opened this morning, and look at that move! Congrats to everyone who followed along. 🔥

I don't chase stocks after they've exploded. I look for the setup before the crowd catches on.

Anyone can talk about a rally after it happens. Calling the move before the market opens? That's a different game.

Spot the opportunity early. Let the market do the talking. 😎

[Stock Research @dmallangg]

$SMCI — The AI Server Trade Is Heating Up.

This is more than an AI hype story. SMCI just raised its Q1 revenue outlook to $18.5B–$19.5B, far above its previous $14.5B–$15.5B guidance. Gross margin expectations also improved to 12%–12.5%.

The standout? Revenue could approach 4x last year's level.

If AI infrastructure demand keeps accelerating, the market may need to rethink SMCI's growth potential.

I'm watching for a pullback entry—not chasing the spike. 👀

The key: explosive growth must translate into sustainable profits.

[Stock Research @dmallangg]

If you're interested, please like and follow

[Stock Research @dmallangg]

$SMCI — The AI Server Trade Is Heating Up.

This is more than an AI hype story. SMCI just raised its Q1 revenue outlook to $18.5B–$19.5B, far above its previous $14.5B–$15.5B guidance. Gross margin expectations also improved to 12%–12.5%.

The standout? Revenue could approach 4x last year's level.

If AI infrastructure demand keeps accelerating, the market may need to rethink SMCI's growth potential.

I'm watching for a pullback entry—not chasing the spike. 👀

The key: explosive growth must translate into sustainable profits.

[Stock Research @dmallangg]

If you're interested, please like and follow

[Stock Research @dmallangg]

I have been reminding you these two days, I started calling for a U.S. market rebound right here on X. Now, the market is beginning to validate that call. 👀

After years of investing, I've learned one thing: the best opportunities rarely appear when everyone feels confident. They appear when uncertainty is high, sentiment is weak, and the risk/reward starts shifting in your favor.

While others focused on the sell-off, I was watching whether money was actually leaving the market. While others waited for confirmation, I was looking for the setup before the crowd caught on.

I won't get every call right. But putting your view out there before the move—and letting the market judge it—is worth far more than explaining everything after the fact.

Anyone can sound smart after a rally. The real test is having the conviction to make the call before it happens. 🔥

[Stock Research @dmallangg]

I Called the Rebound. Now I'm Looking for the Next Move. 🚀

Yesterday, when fear was dominating the market, I made my call: U.S. stocks were approaching a short-term bottom, with AI and semiconductors poised to lead the recovery.

Today, the Nasdaq surged 1.11%, the S&P 500 gained 0.41%, and the Philadelphia Semiconductor Index rose 1.6%, ending an eight-session losing streak.

This is exactly why I don't follow market sentiment blindly. I look for opportunities when fear creates mispricing.

My thesis hasn't changed: AI demand remains strong. The recent selloff was more about valuation, financing costs, and doubts over CapEx returns than the collapse of AI demand itself.

Now, I'm making my next call: I believe the AI rebound has further room to run.

I'm watching $NVDA, $AMD, and $MU to lead the next leg higher. $NBIS and $IREN offer greater upside potential, but also carry higher financing risks.

I expect volatility, but if semiconductor leaders hold their gains and buying momentum broadens, this rebound could develop into a much bigger recovery than many investors expect.

I've made my call once. Now I'm watching for confirmation — and preparing for the next opportunity.

The market rewards those who think ahead, not those who wait for everyone else to agree.

[Stock Research @dmallangg]

My Take on the U.S. Market

After years of investing, I've learned not to get too excited when the market rallies or too nervous when it sells off.

I'm still bullish on AI, but I'm not buying every AI stock blindly. I want to see where the money is going, who's turning spending into profits, and who's actually building a lasting business.

I'm keeping a close eye on $NVDA, $AMD, $MU, and $AVGO. Memory, power, and data center infrastructure could also offer opportunities that the market hasn't fully priced in.

One thing I've learned the hard way: a great company can still be a terrible investment at the wrong price.

I don't need to catch every move. I'd rather wait for a good company at a reasonable entry than chase a stock everyone is talking about.

Markets will always give you another opportunity. The trick is having the patience and cash to take it.

If you're interested, please like and follow

[Stock Research @dmallangg]

NVDA Is Coming for the CPU Market — And AI Agents May Be the Catalyst.

NVIDIA just secured Modal as a Vera CPU customer after early tests reportedly showed 2x performance for AI agent workloads versus existing Intel and AMD processors.

NVIDIA is targeting at least $20B in Vera CPU sales this fiscal year.

My view: AI agents don't just need GPUs to think. They need CPUs to execute code, call tools, and coordinate tasks.

As agent workloads scale, CPU demand could become a much bigger part of AI infrastructure spending.

$NVDA is expanding beyond GPUs, while $AMD and $INTC face a new competitive challenge.

The next AI infrastructure race won't be GPUs alone. It will be the entire computing stack.

[Stock Research @dmallangg]

I Called the Rebound. Now I'm Looking for the Next Move. 🚀

Yesterday, when fear was dominating the market, I made my call: U.S. stocks were approaching a short-term bottom, with AI and semiconductors poised to lead the recovery.

Today, the Nasdaq surged 1.11%, the S&P 500 gained 0.41%, and the Philadelphia Semiconductor Index rose 1.6%, ending an eight-session losing streak.

This is exactly why I don't follow market sentiment blindly. I look for opportunities when fear creates mispricing.

My thesis hasn't changed: AI demand remains strong. The recent selloff was more about valuation, financing costs, and doubts over CapEx returns than the collapse of AI demand itself.

Now, I'm making my next call: I believe the AI rebound has further room to run.

I'm watching $NVDA, $AMD, and $MU to lead the next leg higher. $NBIS and $IREN offer greater upside potential, but also carry higher financing risks.

I expect volatility, but if semiconductor leaders hold their gains and buying momentum broadens, this rebound could develop into a much bigger recovery than many investors expect.

I've made my call once. Now I'm watching for confirmation — and preparing for the next opportunity.

The market rewards those who think ahead, not those who wait for everyone else to agree.

[Stock Research @dmallangg]

U.S. Market Outlook | I'm Betting on a Rebound
I believe the market is closer to a meaningful rebound than another major selloff.

The recent weakness in tech and semiconductors has created exactly the kind of fear that often appears near short-term bottoms.

My prediction? AI stocks will lead the next recovery, and the rebound could be stronger than most investors expect.

I'm particularly bullish on $NVDA, $AMD, and $MU. I believe the market is underestimating how resilient AI infrastructure demand remains.

Yes, valuations matter. Yes, financing costs are rising. But I don't believe the AI investment cycle is anywhere near finished.

My strategy is to accumulate quality names on weakness rather than chase every bounce.

I expect volatility early, followed by stronger buying as confidence returns.

The biggest mistake right now may not be buying too early.

It may be waiting for perfect conditions while the next rally has already begun.

If you're interested, please like and follow.

[Stock Research @dmallangg]

If you're interested, please like and follow

[Stock Research @dmallangg]

$INTC — Intel's Physical AI Opportunity Is Getting More Interesting.

South Korean AI chip startup DeepX is integrating its NPUs into Intel's OpenVINO ecosystem, targeting initial results in early 2027.

DeepX has already secured 77 purchase orders, with roughly 300 companies evaluating its chips. It also plans a Samsung 2nm tape-out this month and is exploring potential cooperation with $AMD.

My view: The bigger opportunity for Intel may not be building every AI chip, but becoming a key software platform connecting CPUs, NPUs, and real-world AI applications.

As robotics, automation, and edge AI expand, OpenVINO could become an increasingly valuable part of Intel's ecosystem.

The next AI growth wave won't be limited to data centers. Physical AI could be a major opportunity — and $INTC wants a seat at the table.

[Stock Research @dmallangg]

🚀 $NBIS | Why I'm Still Bullish After the Selloff

Nebius is building for an AI inference market that could grow far beyond today's capacity.

The bullish case:

① Contracted power target raised to 5 GW
② More capacity coming online in 2027+
③ Major AI customers already signing billion-dollar deals
④ Serverless inference adds higher-value monetization potential

The opportunity is enormous—but so is the execution challenge.

The key isn't contracted gigawatts. It's turning power into revenue, cash flow and shareholder value.

If you're interested, please like and follow

[Stock Research @dmallangg]

U.S. Market Outlook | I'm Betting on a Rebound
I believe the market is closer to a meaningful rebound than another major selloff.

The recent weakness in tech and semiconductors has created exactly the kind of fear that often appears near short-term bottoms.

My prediction? AI stocks will lead the next recovery, and the rebound could be stronger than most investors expect.

I'm particularly bullish on $NVDA, $AMD, and $MU. I believe the market is underestimating how resilient AI infrastructure demand remains.

Yes, valuations matter. Yes, financing costs are rising. But I don't believe the AI investment cycle is anywhere near finished.

My strategy is to accumulate quality names on weakness rather than chase every bounce.

I expect volatility early, followed by stronger buying as confidence returns.

The biggest mistake right now may not be buying too early.

It may be waiting for perfect conditions while the next rally has already begun.

If you're interested, please like and follow.

[Stock Research @dmallangg]

US Stock to Watch: $QCOM

While semiconductor stocks remain under pressure, Qualcomm is showing relative resilience.

Why I'm watching:

• AI smartphones and PCs
• Automotive and industrial IoT growth
• Expanding edge AI opportunities

I believe the next phase of AI isn't just about building more data centers — it's about bringing AI to billions of devices.

In weak markets, watch who holds up. When markets recover, watch who leads.

My strategy: Watch the support, wait for confirmation, and don't chase weakness.

A strong business doesn't automatically make a strong stock. Price and timing still matter.

[Stock Research @dmallangg]

U.S. Market Outlook: The Real Risk to the AI Trade May Not Be Demand — It's Financing Costs.

U.S. semiconductor stocks have faced eight consecutive sessions of selling pressure, with the sector down roughly 16%.

I believe the market is starting to question something fundamental:

Can massive AI capital expenditures generate sustainable returns?

Previously, the market was pricing in:

AI demand growth → GPU orders → Data center expansion → Higher valuations.

Now, the concern is shifting toward:

Rising financing costs → Delayed projects → Slower CapEx → Earnings pressure.

But the risks differ across companies.

$NVDA, $AMD, and $AVGO face valuation pressure and shifting growth expectations.

$NBIS, $CRWV, and $IREN face greater scrutiny over financing capacity, cash flow, and capital efficiency.

My view: AI demand remains strong, but the returns on AI investment are being put to the test.

I won't abandon the AI thesis because of short-term selling, but I won't ignore valuation risks either.

The next winners may not be those spending the most on AI infrastructure, but those converting AI demand into sustainable free cash flow.

The AI trade isn't necessarily over. The market is deciding who deserves to win the next phase

[Stock Research @dmallangg]

Anthropic’s slowing growth shouldn’t be mistaken for slowing AI demand.

Competition is intensifying, with OpenAI and open-weight models taking a larger share of enterprise AI spending.

But the bigger trend remains intact: AI spending is still expanding rapidly.

That means continued demand for compute, GPUs, power and data centers — even if individual AI labs grow at different rates.

The AI trade may be rotating, not ending.

If you're interested, please like and follow

[Stock Research @dmallangg]

$IONQ is going beyond quantum computing.

On Monday, two high-resolution SAR satellites, Acadia-11 and Acadia-12, are scheduled to launch aboard $SPCX’s Bandwagon-5 mission, expanding Capella’s Earth-observation constellation.

IonQ already launched commercial InSAR in Q2, enabling automated millimeter-scale monitoring of ground deformation for infrastructure, energy, insurance and national security customers.

Capella has also secured an NRO contract for commercial SAR data supporting U.S. national security missions.

What makes $IONQ interesting is that its space business is becoming more than just satellite imagery. It is building a potential second growth engine — while its quantum technology could eventually enhance how this massive amount of SAR/InSAR data is analyzed.

Quantum + sensing + space could become a much bigger story for IonQ than quantum computing alone.

If you're interested, please like and follow

[Stock Research @dmallangg]

🚀 $SPCX | My Long-Term Space Investment Thesis
I'm increasingly convinced that SpaceX could provide much of the space-sector exposure a long-term investor needs.

Why?

① Starlink's recurring revenue
② Reusable launch dominance
③ Starship's long-term potential
④ Exposure to satellite infrastructure and AI

But a great company isn't automatically a great investment at any price.

My focus: finding a high-conviction, higher-timeframe bottom—not chasing short-term rallies.

The next major opportunity may come from patience, not prediction.

If you're interested, please like and follow
$SPCX

[Stock Research @dmallangg]

🚀 $NBIS | Why I'm Still Bullish After the Selloff

Nebius is building for an AI inference market that could grow far beyond today's capacity.

The bullish case:

① Contracted power target raised to 5 GW
② More capacity coming online in 2027+
③ Major AI customers already signing billion-dollar deals
④ Serverless inference adds higher-value monetization potential

The opportunity is enormous—but so is the execution challenge.

The key isn't contracted gigawatts. It's turning power into revenue, cash flow and shareholder value.

If you're interested, please like and follow

[Stock Research @dmallangg]

🚀 Google TPU Could Become a $100B AI Business

BNP Paribas estimates Google's external TPU sales could generate $80B–$100B in cumulative revenue through 2028.

The growth drivers:

① Anthropic and other AI labs adopting Google TPUs
② Multi-gigawatt TPU capacity commitments
③ AI infrastructure demand expanding beyond Nvidia GPUs
The AI chip race is evolving.
It's no longer just GPU vs GPU.

It's becoming a battle between complete AI ecosystems.

If you're interested, please like and follow

[Stock Research @dmallangg]

🚀 $ASML | The AI Boom Is Creating a New Semiconductor Supercycle

The biggest AI opportunity may not only be the companies building chips.

It may be the company enabling everyone to manufacture them.

Why bullish on $ASML:

① Only large-scale EUV supplier
② AI drives massive semiconductor capex
③ HBM expansion boosts memory demand
④ Customers already planning EUV capacity for 2029-2030
⑤ High-NA EUV opens the next technology cycle

AI needs more than GPUs.
It needs factories.

And ASML builds the tools behind those factories.

If you're interested, please like and follow

[Stock Research @dmallangg]

🚀 $NVDA | NVIDIA Expands Its European AI Empire
Jensen Huang plans to unveil another $2B in European AI investments, following $8B over the past year.

New investments target healthcare, robotics, enterprise software and materials science.

The bigger picture: NVIDIA isn't just selling AI chips. It's helping build the ecosystem that could drive future demand.

Europe wants AI sovereignty. NVIDIA wants to power the infrastructure behind it.

The next AI growth wave could extend far beyond U.S. hyperscalers.

[Stock Research @dmallangg]

$NVDA is reportedly exploring a deal with Reflection AI, last valued at $25B.

Reflection has also secured over $7B in compute deals with $SPCX and $NBIS.

My take: This isn't just about buying another AI startup.

Nvidia wants to strengthen its position across GPUs, CUDA and open AI models.

The bigger opportunity is controlling more of the AI ecosystem, not just selling the chips.

🚀 If you're interested, please like and follow