I’m leaning bullish into this earnings. Even if near-term numbers are mixed, I think a lot is already priced in for $Tesla Motors(TSLA)$ . For me, the focus isn’t just deliveries anymore—it’s whether Tesla can keep investors engaged with its AI story, especially FSD and Robotaxi progress. Inventory and margin pressure are real risks, but the market is increasingly valuing Tesla as more than just an EV company. If management provides clearer updates or timelines, that could outweigh a weaker quarter. At this stage, guidance and narrative matter more than the headline numbers. I’ll also be watching how capex and free cash flow are framed, since that could influen

My stock in focus today is $Marvell Technology(MRVL)$ , after reports that $Alphabet(GOOGL)$ is in talks with the company to co-develop two new AI chips. The market reacted positively, but more importantly, this shows Marvell moving deeper into the custom silicon layer of the AI stack, beyond its traditional networking business. Strategically, Google is expanding its Tensor Processing Unit ecosystem to compete with $NVIDIA(NVDA)$ . If Marvell is involved in both a memory processing unit and a next-gen TPU, it strengthens its role as a key enabler in hyperscaler-led chip des

For this World Book Day, one book I’d recommend is Common Stocks and Uncommon Profits — it really shifted how I think about investing beyond just numbers and short-term trades. It’s not about timing the market, but about understanding businesses deeply and holding onto great companies over the long run. What stood out to me is Fisher’s focus on qualitative factors — management quality, innovation, and long-term growth potential. It reminded me that while earnings and charts matter, the real edge often comes from understanding what makes a company exceptional before the market fully prices it in. In a market that’s constantly moving and full of noise, this book helped me slow down and think more like a long-term owner rather than just a trader. It’s a great read if you want to build convic

I think this is one of the rare earnings seasons where bullish expectations are justified. AI is driving real earnings, and with analysts already modeling strong growth, the usual “lowball then beat” setup isn’t there. A 19% EPS growth target for the $S&P 500(.SPX)$ is high, but still achievable if the megacaps deliver. For $Tesla Motors(TSLA)$ , the numbers matter less than the narrative. Margins and deliveries are known — the focus is whether it can prove its shift toward AI and autonomy. The AI5 chip and Terafab angle are key; if Tesla is seen as a future compute player, the valuation could change. A beat help

My stock in focus today is $Madison Air Solutions(MAIR)$ , which just delivered the biggest IPO of 2026. Pricing at the top end & raising $2.2 bil signals solid demand & more importantly, it could reopen the IPO window ahead of potential mega listings like SpaceX and other AI names. What stands out is its niche positioning. Instead of traditional HVAC, Madison Air focuses on high-value environments like data centers, semiconductors & healthcare—areas where clean air is critical. While data centers are still a small part of revenue, the long-term tie to AI infrastructure is clear, putting it alongside peers like Carrier Global and Trane Technologies, but with a more specialized angle. Valuation is the key risk, around 35x earnings alr

I’m still leaning toward $DBS(D05.SI)$ and $ocbc bank(O39.SI)$ this earnings season. It’s less about peak NIM now, and more about who can offset the pressure. DBS is my more “offensive” pick — if wealth management and capital markets recover, it has the strongest upside. The key watch is its full-year NIM guidance, which will drive re-rating. OCBC remains my defensive anchor. Its wealth management strength and conservative balance sheet should cushion margin pressure. If this quarter is more about managing downside than beating expectations, I think OCBC holds up better with steadier earnings. I’m more cautious on $UOB(U11.SI)$ due to ASEAN exposure an

From my perspective, removing the PDT rule is a double-edged sword. It looks like true democratization—no more $25,000 barrier—but markets reward discipline, not access. This shift puts full responsibility on the individual, and I think many retail traders will overestimate their edge while underestimating how fast intraday losses can snowball. Looking back at past changes—from commission deregulation to the zero-commission wave led by $Robinhood(HOOD)$ and $Charles Schwab(SCHW)$ —each reform boosted access but also speculation. I s

My stock in focus today is $Microsoft(MSFT)$ , especially after its recent 3-day surge of nearly 11%. A sharp jump means sentiment may be turning after a prolonged pullback. When a mega-cap like this starts regaining momentum, it often signals early institutional repositioning rather than just short-term retail chasing. What makes this rebound more interesting is the backdrop. Concerns around AI disruption—driven in part by Anthropic and its Claude Mythos model—have raised questions about whether traditional software models can hold up. The narrative is shifting from “who benefits from AI” to “does software itself get disrupted.” In my view, the massive selloff has already priced in. I see Microsoft as a battleground between short-term skepticis

$Palantir Technologies Inc.(PLTR)$ I’l've been using this recent pullback as an opportunity to steadily add to my position in Palantir Technologies, rather than stepping aside. Volatility like this tends to shake out short-term traders, but it also creates pricing inefficiencies. For me, this isn't a signal to panic—it's a chance to lean into my conviction. Dollar-cost averaging (DCA) helps me stay disciplined, especially when sentiment swings faster than fundamentals. One of the core reasons I continue to DCA is because Palantir's long-term narrative remains intact. The company sits right at the intersection of AI, data infrastructure, and government-commercial integration. While the market may be repricing high-multiple tech names in the sh

I’m holding both sides of this barbell — I own $DBS(D05.SI)$ $ocbc bank(O39.SI)$ $Sembcorp Ind(U96.SI)$ because they play different roles in my portfolio. The banks give me stability & steady dividend income, especially when NIM remains strong. DBS and OCBC are core long-term compounders rather than trading positions. Sembcorp, on the other hand, is my growth engine. The renewable energy transition in Asia is a multi-year structural trend. I like that Sembcorp is already executing & hitting targets ahead of schedule, which lowers execution risk. So while ba

I’m not chasing — but I’m not running either. A 10-day rally $S&P 500(.SPX)$ and $NASDAQ(.IXIC)$ with strong breadth tells me this isn’t just short-covering, it’s real risk appetite coming back. When tech and financials rise together and high-beta leads, it usually signals a forward-looking growth phase, not just headline-driven moves. That said, I respect the timing risk. With the index near all-time highs and geopolitical noise rising, a short-term pullback is likely. But I see it more as a positioning reset than a trend reversal — a shakeout before the next leg higher. If I had to choose, I’m still on high-beta tech/software. That’s where capital is flowing and upside compounds fastest. I’d rat

I’ve been watching this “retail buying the dip” trend in S-REITs, but I’m not blindly following it. CapLand Ascendas REIT and Mapletree Industrial Trust are solid, but heavy inflows suggest sentiment is getting crowded. I prefer to scale in gradually rather than chase, especially with rates still a key risk for REITs. I’m leaning more toward what institutions are doing. The continued interest in $Keppel DC Reit(AJBU.SI)$ makes sense given the structural demand from AI and cloud. That’s a stronger long-term driver compared to traditional sectors, so I’d rather st

$Micron Technology(MU)$ I remain long-term bullish on Micron Technology because it sits at the heart of one of the most powerful structural trends in tech today: AI-driven memory demand. As models become larger and more compute-intensive, the need for high-bandwidth memory (HBM) and advanced DRAM continues to surge. Micron is no longer just a cyclical memory player—it is increasingly becoming a critical enabler of AI infrastructure, supplying key components that power data centers, GPUs, and next-generation computing systems. What reinforces my conviction is the industry structure. Memory has historically been highly cyclical, but consolidation has fundamentally changed the game. With only a few dominant players remaining, supply discipline has

My stock in focus today is $IONQ Inc.(IONQ)$ , after announcing a key breakthrough on World Quantum Day. The company successfully linked two separate quantum computers using photonic interconnects — a major step toward building a future quantum network or even a “quantum internet.” This suggests practical quantum computing may be closer than previously expected. The development is further validated by support from the Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory, reinforcing IonQ’s credibility despite earlier skepticism. At the same time, momentum across the sector remains strong, with peers like Rigetti Computing and D-Wave Quantum also moving higher. From a market perspective, the sharp rally reflects

I’m leaning slightly bullish into this earnings for $Netflix(NFLX)$ . The ad-supported tier is still early in its monetization curve & with the recent price hike, this quarter could be the first real signal that Netflix has pricing power without hurting demand. If ad ARPU continues to scale and user engagement stays solid, I think the market will reward that combination of growth + margin expansion. At the same time, I’ll be watching operating margin & cash flow closely. Netflix has been getting more disciplined with content spending, and if they can show improved efficiency while still delivering double-digit revenue growth, it strengthens the case that this is no longer just a growth story—but a maturing, high-quality cash generator. So

I’m leaning toward A) $Taiwan Semiconductor Manufacturing(TSM)$ as my “Beat & Pop” pick. The AI demand from $NVIDIA(NVDA)$ and $Apple(AAPL)$ still looks strong, and this feels more structural than cyclical. As long as guidance stays solid without major supply issues, I think the market rewards that visibility. For banks like $JPMorgan Chase(JPM)$ and $Goldman Sachs(GS)$ , I see more of a gradual re-ratin

My stock in focus today is $SanDisk Corp.(SNDK)$ $Tradr 2X Long SNDK Daily ETF(SNXX)$ , after 12% surge yesterday that quickly drew market attention. The move looks supported by both technological progress and capital market catalysts, rather than just short-term momentum. On the tech side, SanDisk is advancing High Bandwidth Flash (HBF), with pilot production targeted for 2H26 and mass production in 2027. This could be a key piece in the AI inference stack, offering much higher capacity than HBM while maintaining strong bandwidth—po

If I had to pick a funny but mostly useless stock-trading superpower, I’d choose the ability to know exactly when I’m about to buy the top. Not to stop myself—just to be fully aware of it in real time. Imagine clicking “buy” & a voice in my head goes, “Congrats, you’ve just nailed the local peak.” Painful, but at least I’d have zero illusions about my timing. A close second would be understanding what CEOs really mean during earnings calls. Like when they say “we’re seeing strong long-term opportunities,” my superpower translates it instantly to “next quarter might be rough.” It wouldn’t make me rich, but it would definitely save me from overinterpreting all the polished corporate optimism. At the end of the day, I’d still go with the “buying the top detector” because it perfectly sum

Last week felt like a relief rally to me, with U.S. markets rebounding strongly as tensions eased and oil prices dropped. While the price action looks bullish, I’m still cautious— inflation remains above target, growth was revised lower, and sentiment is weakening, which signals a mixed macro backdrop. I’m seeing AI and semiconductors continue to lead, with names like $ASML Holding NV(ASML)$ and $Taiwan Semiconductor Manufacturing(TSM)$ benefiting fr