From my perspective, this sell-off looks more like an AI and semiconductor valuation purge than a true structural breakdown. Expectations were stretched after a massive run, positioning was crowded, and earnings disappointment simply triggered aggressive de-risking. This feels like prices reverting toward fundamentals, not the end of the AI story. That said, this is not a blind buy-the-dip environment. Earnings dispersion is widening, and rising capital intensity—especially in AI infrastructure—has become a real concern. Selectivity now matters far more, with balance sheet strength, cash flow & monetization visibility separating real winners from hype. Overall, I lean toward A️⃣: a healthy reset with opportunities forming, but only for patient capital. I’m waiting for clearer signs of

My pick for this earnings season is $Philip Morris(PM)$ . I like it because the company has a strong global brand portfolio and consistent cash flow, which supports both stable dividends and potential EPS growth. Its diversified markets make it a relatively safe choice even amid macro uncertainties. Philip Morris is expected to report higher EPS compared with the same period last year, signaling both profitability and operational efficiency. Strong EPS performance can also act as a catalyst for the stock price, making it appealing for dividend income and potential capital appreciation. I’m bullish on PM because it balances steady cash generation with long-term growth initiatives. While tech often dominates headlines, I appreciate companies like PM

My favourite is $Graham(GHC)$ because it combines stability, quality, and strong shareholder returns. Its diversified businesses across media, insurance, manufacturing, and automotive provide steady cash flow, making the dividend reliable rather than just financial engineering. GHC has also performed well YTD25, and Tiger Trade Analysis shows upside potential supported by a strong balance sheet and disciplined capital allocation. This makes the upcoming ex-dividend attractive, as I’m looking for long-term compounding, not just a quick dividend. I also appreciate that the company has a track record of consistent dividend growth over the years. I’m also watching energy names like $Valero(

If I could only go all-in on one, my pick would be OpenAI. Generative AI is rapidly becoming the core layer of the digital economy & OpenAI has unmatched scale, distribution & monetization momentum. An IPO wouldn’t just be a listing — it could reshape major index weightings, similar to what Microsoft once did. SpaceX remains the most visionary long-term bet. Its launch dominance and Starlink’s recurring cash flows make the trillion-dollar valuation plausible, but it’s a capital-intensive, regulation-sensitive play that requires patience and near-flawless execution. The upside is enormous, but so is the complexity. Anthropic is the strategic dark horse. Backed by Google and Amazon, it offers institutions a credible alternative to OpenAI with potentially better valuation discipline.

My stock in focus today is $Alphabet(GOOGL)$ after a strong earnings report that confirms its AI strategy is delivering. The company plans to double 2026 capex to $175–185 billion, showing confidence in long-term growth as Gemini 3 drives real monetization across Search, Cloud, and YouTube. The Gemini ecosystem has reached scale, with over 750 million MAUs and unit costs down 78% vs 2025, a key margin inflection. Gemini 3 Pro is best-in-class in reasoning and multimodal AI, while the Antigravity AI agent platform hit 1.5 million weekly users just two months after launch. AI is reinforcing Google’s core moats. Search revenue grew 17%, Google Cloud surged 48% with $240B backlog, and YouTube generates $60B+ annually. With early adoption of NVIDIA

Replying to @Shyon:Come and join yo my friend @nomadic_m @1PC @koolgal @rL @icycrystal @Barcode @SPACE ROCKET @GoodLife99

From my perspective, this isn’t “software is dead” — it’s the market aggressively repricing which software actually has a moat. The narrative flipped fast, and crowded positioning made the selloff look brutal. This feels more like fear-driven de-rating than fundamentals suddenly breaking. $Wal-Mart(WMT)$ hitting $1 trillion makes sense because AI is amplifying businesses with physical scale and operational complexity. AI turns Walmart’s logistics and supply chain into real profit leverage, while many software companies now have to prove they’re essential, not optional. So I lean toward B: this is an overreaction, not the end of software. But the

I’m going with C — both go up 📈. The STI just printed a fresh intraday high, and when index momentum is strong, large-cap names reporting earnings tend to benefit from passive and rotational flows, regardless of individual narratives. For $SGX(S68.SI)$ , expectations are undeniably high, but volume expansion ahead of earnings suggests positioning rather than distribution. As long as derivatives activity and data services show steady growth, the market may be willing to defend the premium valuation, at least in the near term. For $Keppel(BN4.SI)$ , the AI infrastructure angle is gaining credibility. While Bifros

I’m staying firmly bullish on the AI and semiconductor theme. AI is no longer a “future story” — it’s already being embedded across cloud, enterprise software, manufacturing, healthcare, and consumer applications. From training to inference, the compute demand curve is still moving up. Semiconductors sit right at the heart of this cycle. Advanced logic, memory, networking, & packaging are all benefiting as AI workloads become larger, faster & more specialized. Even with short-term volatility, the long-term trend of higher compute intensity per dollar of GDP looks intact, and that supports sustained demand for chips across the stack. What keeps me confident is that this isn’t just hype-driven spending — companies are now focused on efficiency, ROI, and real deployment. That shift f

I pick B. After the violent drop-and-rebound we just saw, I think gold is more likely to digest gains rather than trend hard in one direction into Friday’s close. The market feels nervous rather than confident, which usually leads to choppy, range-bound trading. The recent move looks driven more by forced position unwinds, margin pressure, and headline risk than fresh conviction buying. While geopolitical tension and Fed uncertainty still support gold structurally, the sharp rebound above $5,000 likely pulled forward short-term demand and limits immediate upside. In this environment, I expect large intraday swings but a relatively contained weekly close, with $5,000 as key resistance and $4,800 as near-term support. Longer term I remain constructive on gold, but in the short term, consoli

I’m leaning toward $Alphabet(GOOGL)$ this week, as it’s clearly moving into the harvest phase of AI rather than just telling the story. Gemini 3.0 driving higher Search conversion is exactly what the market wants, and a re-acceleration in Search growth gives earnings a very direct boost. At the same time, GCP looks structurally stronger. Self-developed TPUs are lowering costs, while large deals like Anthropic support both scale and margins. The Apple AI partnership remains a strong validation of Google’s full-stack capabilities, even if valuation concerns linger. By comparison, I’m more cautious on $Amazon.com(AMZN)$ in the near term. Elevated inventory and expected margin pullback still pose risks,

$Advanced Micro Devices(AMD)$ is my stock in focus today after its post-earnings pullback, which I view as a potential opportunity rather than a fundamental issue. Shares fell about 7.6% as the market reacted to guidance for a modest sequential revenue decline, highlighting how high expectations around AI hardware remain. Operationally, the quarter was solid. Q4 revenue beat estimates at $10.27 billion, with data-center sales up 39% year over year. The Q1 revenue guide of around $9.8 billion still implies about 32% year-over-year growth and includes AI chip sales to China, keeping the core business on track. While competition and memory supply constraints persist, AMD continues to gain server CPU share and expand its AI product lineup. With sent

Semiconductors have clearly shifted from last year’s AI storytelling to a hard execution phase. Capital is chasing memory names, while logic and architecture players are under intense scrutiny on real orders, margins, and guidance. This earnings week is less about vision and more about proof. My predictions:AMD: Jump | SMCI: Jump | QCOM: Drop | ARM: Drop I expect $Advanced Micro Devices(AMD)$ to benefit from solid AI accelerator momentum and data center demand, enough to drive a post-arnings bounce. $SUPER MICRO COMPUTER INC(SMCI)$ , despite past issues, could see a relief rally if management shows backlog conversion

My stock in focus today is $Rocket Lab USA, Inc.(RKLB)$ . Elon Musk’s latest memo highlights Starship’s push toward ultra-high launch frequency, massive satellite deployment & even space-based AI data centers—an ambitious roadmap that will significantly stretch SpaceX’s execution capacity. As Starship resources are increasingly tied to Starlink V3 and long-term Moon/Mars initiatives, outsourcing parts of launch or satellite manufacturing becomes more likely. RKLB stands out here, with a solid Electron launch track record, Neutron progressing, and vertically integrated satellite manufacturing capabilities. This shifts RKLB from a niche launch provider to a potential beneficiary of space industrialization. Even limited outsourcing from SpaceX

January closed green, but for me it was a very unusual start to the year. While the S&P 500 and Dow advanced, the NASDAQ lagged. Value and defensives leading while tech underperforms tells me this isn’t a clean risk-on rally — it’s capital rotating & the market reassessing leadership. The collapse in gold & silver looked like a crowded trade unwinding fast, driven by a stronger dollar & expectations of a more hawkish Fed under Kevin Warsh. Crypto selling alongside precious metals reinforces the same message: liquidity assumptions are changing, speculative assets are feeling the pressure first. Heading into February, I’m staying cautious. A positive January is historically supportive, but it doesn’t rule out near-term digestion, especially with a Fed leadership shift. I’m n

My focus today is on $Palantir Technologies Inc.(PLTR)$ ahead of its Q4 2025 earnings release after the U.S. market close. Consensus expects revenue of about $1.34B, EPS of $0.23, already slightly above management’s prior guidance, meaning expectations are not low going into the print. Growth continues to be driven by strong AI demand across both government & commercial segments. Government revenue is supported by rising defense spending & contracts like the $448M Navy deal, while commercial revenue momentum remains key, following last quarter’s triple-digit U.S. growth. Ongoing adoption of AIP & tools like AI Hivemind further reinforces Palantir’s position in large-scale data integration. With the stock up roughly 78% in 2025 & o

I remain bullish on $Palantir Technologies Inc.(PLTR)$ despite the ~20% pullback since Q3. Expectations are already high going into earnings, with consensus revenue above prior guidance, but the real focus will be on 2026 outlook, especially U.S. commercial growth & free cash flow. If management maintains its track record of raising guidance, the narrative can shift quickly back to forward growth. Historically, PLTR trades more on changes in forward EPS expectations than on valuation alone. Estimates haven’t been revised down despite the selloff, which is constructive. Valuation risk is real, but Palantir has shown before that strong guidance can drive rapid re-rating, as seen in past sharp rebounds. For the earnings guess, I lean 🟡 $140–$16

$Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ I continue to dollar-cost average (DCA) into SOXL because my conviction in the semiconductor sector this year remains strong. Semiconductors sit at the center of nearly every structural growth theme today—AI, cloud computing, data centers, automotive electrification, and edge devices. These aren't short-term fads; they're multi-year demand drivers that continue to expand even through economic cycles. When I look at where capital spending is going globally, chips are clearly a top priority. This year in particular, the industry is benefiting from a powerful combination of AI infrastructure build-out and normalization in cyclical demand. Hyperscalers are still ramping aggressively on GPUs, ne

From my view, Microsoft’s $Microsoft(MSFT)$ drop looks like a valuation reset rather than a broken business. Azure is still growing at a very high level, but the market owned MSFT for acceleration, not deceleration. I’d be cautious but constructive — $400 feels like a reasonable first entry, though I’d scale in slowly rather than go all-in. Meta $Meta Platforms, Inc.(META)$ is the clearest winner for me. The +10% move is supported by real ad re-acceleration and visible AI-driven efficiency gains. I wouldn’t chase after a vertical rally, but on consolidation or pullbacks, this still looks like a stock you want to own. Apple $Apple(AAPL)$ delivered objectivel

From my perspective, this move feels less like a normal pullback and more like a liquidity-driven shakeout. When gold starts swinging $100 per minute and CME has to hike margins, that’s not fundamentals talking — that’s leverage being forcefully unwound. Once liquidity dries up, even the strongest narratives get punished first. The Kevin Warsh factor matters here. A hawkish Fed Chair candidate immediately reprices the entire rate and USD path, and gold is extremely sensitive to that shift. I don’t fully buy a 60% crash scenario, but I do agree with Cathie Wood on one thing: this rally went parabolic, and parabolic moves don’t correct gently. For now, I’m not rushing to catch the knife. The $5,000 level is critical — if it stabilizes with volume and volatility cools, that’s a different con