Today’s market was volatile, and I’m focused on $SIA(C6L.SI)$ . The sudden Middle East escalation caused SIA to overcorrect, but with Trump signaling the conflict is near its end, I see strong recovery potential. Knee-jerk reactions like this are exactly why I prioritize fundamentals and macro cues over short-term panic. Singapore stocks broadly performed well, with the STI up 1.52%, but SIA stands out. Its operational resilience and improving Q2 hiring sentiment suggest confidence could return quickly. While high oil prices pressure some sectors, SIA’s overcorrection creates a selective entry opportunity. For me, this means building positions gradually w

The recent surge in $FUT:WTI Crude Oil - main 2604(CLmain)$ and $FUT:Brent Last Day Financial - main 2605(BZmain)$ is striking. While USO offers pure commodity upside, I prefer oil majors for dividends, buybacks, and potential re-rating if Wall Street catches up to Goldman’s upgraded 2026 EPS estimates, which the market hasn’t fully priced in yet. I’m watching $Chevron(CVX)$ </

Reflecting on this week’s volatility, I see that investing and relationships have a lot in common. Sensitivity helps me notice subtle market moves—like safe-haven flows during the geopolitical sell-off—but emotional stability is what actually protects my portfolio. The same goes for relationships: noticing emotions matters, but patience prevents rash decisions and regret. The art of waiting has been key. Holding positions like Alphabet during rough patches reminds me that upside often comes to those who endure the “dark moments.” In both love and investing, rewards usually go to those who stay disciplined and see cycles through. Timing is equally important. I’ve learned to cut losses decisively when fundamentals fail, whether in a stock or a relationship, and to act boldly when opportunit

The early March crypto rebound has been exciting. Bitcoin briefly hitting $74,000 after February’s slowdown shows demand is strong, and the $60K–$70K accumulation range gives confidence in support. Even with pullbacks, selling pressure seems limited, so I’m comfortable holding. Technically, $74,500 is key. A strong close above it could confirm continuation, but bull traps remain possible. I focus on entry zones like $71,500–$72,000 and $70,000 as risk support. Patience and discipline are crucial in volatility. Long-term, I remain bullish. Michael Saylor’s accumulation and Cathie Wood highlighting Bitcoin’s low correlation reinforce its value. Trump’s regulatory remarks are a potential catalyst. I see this rebound as a chance to gradually build or maintain positions while watching technica

Lately, I’ve been keeping my own Nasdaq $NASDAQ(.IXIC)$ rituals, mixing habit with humor. My tech stack is fully in the ecosystem—iPhone, MacBook, iCloud—and I consciously pay for services like Netflix and Amazon.com to support the platforms that drive growth. Even small choices, like using Chrome or Starbucks, feel like tiny gestures connecting me to the market rhythm. I also stay disciplined in managing my portfolio. I follow growth names like NVIDIA, Tesla Motors, and Microsoft, but avoid chasing hype. Consistency matters—gradually building positions, reinvesting dividends, and monitoring technical signals without panic. Finally, I treat these routines as a mix of mindfulness and market prep. Supporting platforms like Uber, booking through

From my perspective, the recent volatility shows how fragile sentiment can be when technical levels and macro risks collide. When the S&P 500 $S&P 500(.SPX)$ hovers around a key level like 6,800, the options market can amplify moves quickly. In a negative gamma environment, once that level breaks, selling pressure can feed on itself, which also explains the sharp spike in the $Cboe Volatility Index(VIX)$ . That said, I don’t immediately see every sharp drop as the start of a long bear trend. Historically, early March tends to be a

From my perspective, this pullback in the Mag 7 feels more like a sentiment reset than a structural problem. $NVIDIA(NVDA)$ trading near the low-20s forward P/E is interesting given its strong revenue growth and industry-leading margins. Short-term concerns about hyperscalers developing their own chips are valid, but Nvidia’s software ecosystem and AI leadership still create a strong moat. I’m also watching $Microsoft(MSFT)$ closely. The market is worried about the heavy AI capex cycle, but these investment phases usually look expensive before monetization kicks in. With Azure still growing strongly, the long-term dem

February reminded me how quickly market narratives can shift. Early in the month the focus was AI momentum, but geopolitical tensions quickly pushed investors toward safe-haven assets. It reinforced the importance of portfolio balance—having some exposure to assets like gold or commodities can help cushion sudden volatility. The reaction to NVIDIA $NVIDIA(NVDA)$ was also a good lesson. Even with strong results, the stock dropped because expectations were already very high. In fast-growing sectors like AI, sentiment and positioning often matter as much as fundamentals. For me, the priority is protecting profits and staying diversified. If geopolitical risks per

$Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ I continue to dollar-cost average into SOXL because I believe in the long-term structural growth of the semiconductor industry. The AI wave is not a short-term hype cycle — it is a multi-year infrastructure buildout driven by companies like NVIDIA, Advanced Micro Devices, and hyperscalers investing aggressively in data centers. From AI training and inference to edge computing and electric vehicles, chips remain the core enabler. Instead of trying to time every short-term swing, I prefer accumulating exposure gradually while the broader semiconductor cycle consolidates. Secondly, volatility is exactly why SOXL fits my strategy. As a 3x leveraged ETF tracking the semiconductor sector, it ampl

In 2026, the ONE thing I want to achieve is: grow my portfolio at a steady, consistent pace — without sudden spikes or painful drawdowns. I’m done with adrenaline investing. No chasing hype or emotional entries — just calm, disciplined growth that compounds quietly and lets me sleep well at night. I’ve experienced sharp rallies and uncomfortable pullbacks, and I’ve realized volatility impacts my mindset more than I’d like. What I want is a smoother equity curve — fewer dramatic swings and better position control. That means focusing on quality companies, proper sizing, and avoiding unnecessary high-beta exposure. My plan is simple: follow structured entries, review my portfolio weekly, trim into strength, and always respect risk management. If I finish 2026 with steady gains and lower str

My stock in focus today is $Dell Technologies Inc.(DELL)$ , after an impressive earnings report that pushed shares up about 11%. The company posted record Q4 revenue of $33.4 billion and beat EPS expectations, while guiding fiscal 2027 revenue to $138–$142 billion — well above estimates — signaling strong forward momentum. The biggest highlight is AI. Dell expects AI server revenue to jump 103% to around $50 billion in fiscal 2027, supported by over 4,000 AI server customers. With heavy AI infrastructure spending from Alphabet Inc., Microsoft Corporation, Amazon.com Inc., and Meta Platforms Inc., Dell is well positioned in this capex cycle. On top of growth, Dell raised its dividend by 20% and added $10 billion in buybacks. Compared with peers l

$Circle Internet Corp.(CRCL)$ Circle’s quarter reset the narrative for me. $770M revenue (+77% YoY), EPS $0.43 vs. $0.16 expected, and a 54% EBITDA margin prove this isn’t just a rate-spread story anymore. With USDC circulation at $75.3B and explosive on-chain volume, the 35% surge in Circle Internet Corp. looks fundamentally driven, not speculative. More importantly, Circle is evolving beyond reliance on Coinbase and positioning itself as infrastructure. Arc and its payments network show it wants to own the pipes between banks and blockchain — that’s where the long-term moat lies. As for strategy, I’m not blindly chasing after such a sharp spike, but I’m also

This week, my focus is on $SIA(C6L.SI)$ after it hit a seven-month high of S$7.19. While net profit plunged due to last year’s one-off gain, the core business actually improved. Record revenue and a 1.9% rise in passenger yield stand out to me — in a competitive environment, regaining pricing power signals real strength in SIA’s premium positioning. To me, that yield pivot is the most important indicator this quarter. Of course, risks remain. Losses from Air India and weaker cargo demand are clear drags. I see Air India more as long-term strategic pain rather than structural damage, but the timeline for improvement will be key to sentiment. At current lev

My stock in focus today is $NVIDIA(NVDA)$ , following another strong earnings beat and an impressive Q1 revenue guide of about $78 billion, well above expectations. Management reiterated that growth should continue throughout 2026, reinforcing the view that AI demand remains powerful and structural. Spending from hyperscalers like $Alphabet(GOOGL)$ , $Microsoft(MSFT)$ , $Amazon.com(AMZN)$ , and Meta is still surging, fueling AI data center expansion. Capacity concerns at TSMC appear contained, supporting near-term visibility. Competition from $Advanced Micro Devices(AMD)$

Over the past three months, I’ve seen software stocks shift from AI darlings to a full reset. The hype phase is clearly over — now the market wants proof. Even after the sentiment boost from $Advanced Micro Devices(AMD)$ $Meta Platforms, Inc.(META)$ deal, investors are demanding real monetization and disciplined spending, not just AI narratives. I’m closely watching $CoreWeave, Inc.(CRWV)$ , $Salesforce.com(CRM)$ and $Snowflake(SNOW)$ . CoreWeave’s leverage and funding plans test infrastructure sustainability. Salesforce’s AI ARR shows whether customers are truly paying for

This earnings season, I’m seeing a textbook “sell-on-news” reaction from Singapore to Wall Street. Even names like JPMorgan Chase and Bank of America were punished despite solid numbers, as investors fixate on rising costs and AI spending discipline. The market is clearly demanding clean execution, not just beats. For our local banks, I see a more defensive story. DBS remains my dividend anchor after its 38% payout boost, even if provisions triggered short-term weakness. OCBC Bank stands out for its wealth management resilience and steady asset quality. Meanwhile, United Overseas Bank looks the most beaten down after heavy provisioning, making it the cheapest on valuation. If I had S$10,000 today, I’d core into $DBS(D05.SI)$ for dependable in

My stock in focus today is following its massive AI chip agreement with . A potential US$60 billion, five-year deal — with Meta able to acquire up to 10% of $Advanced Micro Devices(AMD)$ — is a strong strategic endorsement. The market reacted decisively, sending AMD up over 7% while rivals like and slipped. What stands out is the focus on inference, with Meta helping design AMD’s MI450 GPUs for real-world AI workloads like chatbots. As inference demand is expected to outgrow training, this positions AMD in a key long-term growth segment. Beyond the headline numbers, the inclusion of customized CPUs and multi-generation supply commitments shows this is a deep infrastructure partnership, not a one-off order. With hyperscalers increasingly diversif

While everyone was enjoying reunion dinners, I kept one eye on the market. This Lunar New Year, my “red envelope” came from trading $Palantir Technologies Inc.(PLTR)$ . With strength in the S&P 500 and continued AI momentum led by $NVIDIA(NVDA)$ , I saw opportunity forming instead of chasing noise. Rather than trading hype, I focused on discipline. PLTR pulled back in thin holiday liquidity, but its AI and government-commercial growth story remains intact. I added gradually into weakness, respecting volatility while positioning for a broader breakout. I may forget the festive dishes, but I won’t forget staying rational while fireworks lit up the sky. In the Year of the Horse, speed matters—but disc

Tomorrow after the close, all eyes are on $NVIDIA(NVDA)$ . Expectations are high — around $57B revenue with aggressive data center forecasts — but at ~24x forward P/E, the stock already reflects a lot of skepticism. For me, it’s less about the beat & more about whether guidance proves AI demand into 2026–2027 is still solid. Options are implying roughly a 6% move, so volatility is almost guaranteed. The “2027 anxiety” is real, especially with hyperscaler capex questions & competition from AMD. Still, Nvidia’s ecosystem and inference leadership aren’t easily replaced. If Blackwell shipments and guidance are strong, sentiment can shift quickly. Jensen’s tone on the post-Blackwell roadmap will matter just as much as the numbers. I’m picking

Today my stock in focus is $IBM(IBM)$ , after a 13% plunge sparked by concerns that Anthropic’s Claude Code could disrupt its lucrative COBOL modernization business. Since COBOL underpins critical systems in banking and government, IBM has long benefited from complex, consultant-heavy upgrades — a moat now being challenged by AI-driven automation. The market is questioning whether AI can compress projects that once took years into quarters, potentially reshaping IBM’s consulting economics. That explains the sharp repricing. However, IBM isn’t standing still. With over $12.5B in generative AI business and Watsonx already supporting COBOL refactoring, the real debate is whether IBM becomes the disruptor — or gets disrupted.