Shyon
ShyonCertificated Individuals
Tiger Certification: ๐ŸŽ“ Mechanical Engineer ๐Ÿ“ฆ SCM Certification ๐Ÿ“Š Technical Analysis ๐ŸŒ Investor ๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ‡ธ๐Ÿ‡ฌ๐Ÿ‡ฒ๐Ÿ‡พ๐Ÿ‡ญ๐Ÿ‡ฐ Tesla
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avatarShyon
07-20 13:33
I'm mainly watching $Tesla Motors(TSLA)$ and $Alphabet(GOOG)$ this earnings season. I'm bullish on both because they continue to lead in AI, and I believe their long-term growth story is still intact. More importantly, I want to see strong EPS growth supported by real business execution rather than short-term cost savings. For the ex-dividend list, $Caterpillar(CAT)$ is my favorite. It has a strong track record of growing both earnings and dividends while benefiting from long-term infrastructure and industrial demand. I prefer owning quality businesses that can consistently com
@Dividend_Earnings_Tracker:๐ŸŽWeekly EPS Growth & Dividend Leaders: GOOG, TSLA, INTC, PM and more
avatarShyon
07-19 00:35
I've been holding the Singapore banks for a while, and they've been one of the steadiest performers in my portfolio this year. Personally, I prefer $DBS(D05.SI)$ for its strong franchise, consistent dividend growth, and leading digital banking platform. While the stocks are at record highs, I believe the rally is supported by improving fundamentals rather than just market optimism. That said, I'm not chasing prices after such a strong run. Valuations are definitely higher now, so I'd rather wait for pullbacks or volatility to add more. If earnings continue to surprise through stronger net interest income, wealth management fees, and healthy loan growth, I think the long-term trend remains intact. For me, Singapore's big three banks are core lon
avatarShyon
07-19 00:32
$ServiceNow(NOW)$ The recent correction in ServiceNow (NOW) has only strengthened my conviction, which is why I'm continuing to dollar-cost average into the stock. Could it drift lower in the short term? Of course. But after the latest pullback, I believe the market has become a little too pessimistic. For a company with ServiceNow's quality and long-term growth potential, this correction looks slightly overdone to me. My bullish view is centered on the long-term outlook for enterprise software. As businesses accelerate digital transformation and AI adoption, software platforms that improve productivity and automate workflows should remain critical spending priorities. ServiceNow has consistently expanded beyond IT service management into AI-p
avatarShyon
07-19 00:30
$Direxion Daily MU Bull 2X Shares(MUU)$ The recent selloff in MUU, the leveraged ETF tracking Micron, gave me the opportunity to open a new position. Could the weakness continue? Definitely. Leveraged ETFs are inherently volatile, and trying to catch the exact bottom is nearly impossible. But after such a sharp correction, I believe much of the short-term pessimism has already been reflected in the price, making the risk-reward increasingly attractive. What gives me confidence is that Micron's long-term fundamentals remain solid. The AI revolution continues to drive demand for high-bandwidth memory (HBM), DRAM, and NAND, while hyperscalers are still investing heavily in AI infrastructure. Memory pricing may experience short-term fluctuations,
avatarShyon
07-19 00:00
$Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ The recent sharp pullback in SOXL has finally prompted me to restart my dollar-cost averaging strategy. Could the ETF fall further? Absolutely. No one can confidently call the exact bottom. But after such a significant correction, I believe SOXL has entered the lower end of its historical trading range, where the risk-reward profile becomes much more attractive for long-term investors willing to be patient. My conviction remains unchanged because the fundamentals behind the AI infrastructure cycle have not disappeared. Demand for AI chips, high-bandwidth memory, advanced packaging, and hyperscale data center investments continues to grow. Companies like NVIDIA, TSMC, Broadcom, and other sem
avatarShyon
07-18 01:07
$Corning(GLW)$ One stock I've continued to quietly accumulate is Corning ($GLW). While it's not usually the first name that comes up in AI discussions, I think it's becoming one of the overlooked beneficiaries of the AI infrastructure buildout. Every new AI data center requires faster networking, higher bandwidth, and more optical connectivity, and Corning's leadership in optical fiber and connectivity solutions puts it in a strong position to benefit from that long-term trend. Another reason I keep dollar-cost averaging is that Corning isn't dependent on a single business. Beyond optical communications, it has exposure to display glass, specialty materials, automotive glass, and life sciences. That diversification helps smooth earnings across
avatarShyon
07-18 00:59
I'm holding $Micron Technology(MU)$ and used this pullback to add a little more. To me, the market wasn't reacting to weak earningsโ€”it was reacting to very high expectations after such a strong AI-driven rally. When positioning gets crowded, even good news can trigger profit-taking. I'm still positive on the long-term AI infrastructure story because demand for HBM, enterprise SSDs, and AI servers hasn't changed. What changed is sentiment and valuation. After such a big run, a healthy pullback isn't surprising, and it's a reminder that risk management matters. For now, I'm staying patient instead of trying to call the bottom. If the fundamentals stay intact, I'd rather accumulate quality names gradually than panic over one bad week. Short-term vola
avatarShyon
07-17
Come and join, found them!
avatarShyon
07-17
For me, I wouldn't chase the highest dividend yield. I'd rather own businesses or REITs with healthy cash flow, reasonable payout ratios, and a consistent record of maintaining dividends. A sustainable yield is far more valuable than a high yield that eventually gets cut. I prefer building my income portfolio in layers instead of relying on one asset class. I'd combine quality REITs for regular income, dividend-paying blue-chip stocks for long-term growth, and Singapore T-bills or high-quality bonds for stability. Diversification makes the income stream more resilient. One lesson I've learned is to always look beyond the headline yield. I pay close attention to dividend history, cash flow, debt levels, and whether payouts are sustainable. My goal is to build a portfolio that can reliably
avatarShyon
07-16
I'm leaning toward B, with a bit of D mixed in. $Taiwan Semiconductor Manufacturing(TSM)$ & $ASML Holding NV(ASML)$ have shown that AI infrastructure demand remains strong, and it's hard to argue against order books that extend years ahead. After such a strong rally, though, I think the market needs time to digest valuations even if fundamentals stay solid. For me, the next catalyst is no longer semiconductor earnings but the hyperscalers. Microsoft, Meta, Alphabet and Amazon need to prove AI spending can drive faster cloud growth,
@Tiger_comments:TSMC Profit Jumps 77%, ASML Raises Its Outlook: How Much Further Can the AI Hardware Expansion Run?
avatarShyon
07-15
I lean closest to @TigerOptions view. $SK hynix(SKHY)$ Nasdaq debut is more than a listing storyโ€”it highlights how essential HBM has become to AI infrastructure. As hyperscalers keep expanding AI capacity, demand for high-bandwidth memory should remain strong, making this feel more like a structural trend than a normal memory cycle. I also agree with @My_Market_Diary that sustainability matters. A near-30% first-day jump could easily lead to short-term profit-taking or a narrower ADR premium. That wouldn't change my long-term outl
avatarShyon
07-15
I think this is a temporary budget rotation rather than a permanent software bear market. Companies need GPUs, servers, networking, and memory before deploying AI at scale, so hardware is naturally getting priority. For now, I would lean toward C (Memory & Storage), especially Micron, SanDisk, Western Digital, and Seagate, as IBM highlighted strong demand for these areas. I don't believe software demand has disappeared. Once AI infrastructure is in place, companies will still need cybersecurity, workflow automation, and AI applications to generate returns. The software winners will be those that can show AI drives higher customer spending and stronger recurring revenue. I remain overweight AI infrastructure while monitoring earnings from ServiceNow, Salesforce, and Adobe. If they can
@Tiger_comments:IBM Plunges 25%: Is Corporate IT Spending Moving From Software to AI Hardware?
avatarShyon
07-15
I'm predicting Argentina to beat England and set up a Spain vs. Argentina World Cup final. It would be a dream matchup between one of the tournament's best defensive teams and the defending champions. I think Messi's experience will be the difference in the semifinal. For the final, I'm backing Spain to win 2โ€“1. Spain has looked incredibly balanced throughout the tournament, conceding just one goal so far, and their defensive discipline gives them a slight edge. It would also be a fitting way for Spain to lift its first World Cup trophy since 2010. From an investment perspective, I'm keeping an eye on $Airbnb, Inc.(ABNB)$ , $V
avatarShyon
07-15
I continue to hold Singapore bank stocks, with DBS as one of my core long-term positions. The recent rally has been impressive, but I believe it's backed by solid fundamentals. Strong fee income, resilient loan growth, healthy capital, and attractive dividends keep me positive on the sector. For Q2 earnings, I'll be watching net interest margins, wealth management fees, and management's outlook. Even if NIM stays under pressure, stable credit quality and stronger fee income should continue to support earnings. Positive guidance on loan growth or capital returns would be another catalyst. I'm not taking profits simply because prices are at record highs. I'd rather stay invested, collect dividends, and let compounding work over time. As long as fundamentals remain intact, I believe Singapor
avatarShyon
07-15
$Direxion Daily MU Bull 2X Shares(MUU)$ I decided to open a new position in the 2x leveraged Micron ETF (MUU) after the recent correction across the memory sector. In my view, the pullback has been a healthy reset rather than a sign that the long-term AI memory story is breaking down. After such a strong rally, some profit-taking was inevitable, and I believe the correction has helped remove excessive optimism while creating a more attractive entry point for investors who still believe in the memory supercycle. My bullish view remains unchanged because the key drivers behind Micron's business are still intact. AI servers continue to require significantly more HBM and DRAM, while enterprise storage demand is also improving as AI adoption accele
avatarShyon
07-15
I'm voting Green and expect $Netflix(NFLX)$ to finish up around 5%โ€“10% after earnings. The stock has already pulled back significantly over the past three months, and I think a lot of the recent concerns are already reflected in the share price. That lowers the bar for a positive surprise. I'm particularly watching the advertising business. If management shows strong growth in ad revenue, better monetization, and continued adoption of the ad-supported plan, I believe investors will focus more on the long-term earnings potential than on a slight decline in operating margin. I'm staying bullish because Netflix continues to have a strong global subscriber base and multiple growth drivers. As long as management delivers a confident outlook and demons
avatarShyon
07-14
I'm optimistic about $Meta Platforms, Inc.(META)$ AI strategy. A 14GW compute target shows management is thinking long term and is determined to stay at the forefront of AI. Yes, the spending is enormous, but in an AI race where compute is a competitive advantage, investing aggressively today could strengthen Meta's position for years to come. It's not just about Nvidia anymoreโ€”companies involved in memory, networking, optical components, power and data-center infrastructure should all benefit as hyperscalers continue expanding AI capacity. I see this as a broad ecosystem opportunity rather than a single-stock story. For me, the biggest factor is execution. If Meta can convert this massive investment into stronger AI products, better advertising
avatarShyon
07-14
I'm encouraged by today's V-shaped reversal, but I don't think the correction is fully over. The rebound suggests the worst forced selling may be easing and buyers are returning, yet one strong session isn't enough to confirm a durable bottom while leverage and volatility remain high. I'm still focused on the long-term AI memory story. I believe $SK hynix(SKHY)$ , $Micron Technology(MU)$ and the broader HBM supply chain will continue to benefit from AI demand, but I want to see confirmation from upcoming earnings, HBM pricing and company guidance before turning more bullish. For now, I'm cautiously optimistic. I'll be watching whether the recovery broadens across memory, foundries and semiconductor equip
avatarShyon
07-13
Iโ€™m leaning toward B โ€” oilfield services. If oil prices stay elevated, producers are more likely to increase drilling and spending, which could benefit companies like $SLB Ltd(SLB)$ and $Halliburton(HAL)$ . I think this group has more upside if the market starts pricing in a longer-lasting energy cycle. That said, Iโ€™m not convinced this is the start of a sustained oil rally. As long as commercial shipping through the Strait of Hormuz continues, much of the
@Tiger_comments:Oil Surges: Is the Hormuz Risk Premium Back?
avatarShyon
07-11
$ServiceNow(NOW)$ The recent correction in ServiceNow (NOW) has caught many investors by surprise, but for me, it has created an opportunity rather than a reason to panic. High-quality growth companies rarely move in a straight line, especially after delivering years of exceptional performance. Market sentiment can change quickly, but the long-term investment thesis remains intact. Instead of trying to predict the exact bottom, I prefer to gradually accumulate shares whenever fear creates more attractive valuations. What gives me confidence is that ServiceNow has evolved far beyond an IT service management company. It has become a leading enterprise AI platform, helping businesses automate workflows across IT, HR, customer service, finance, se

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