$ARM Holdings(ARM)$ The recent massive pullback in semiconductor and AI-related stocks has certainly tested investor confidence. As valuations come under pressure and the market questions whether heavy AI investments can translate into sustainable profits, even companies with strong long-term potential are not spared. For my ARM holding, I see this correction as a time to reassess my investment thesis rather than react emotionally to short-term price movements. My confidence in ARM comes from its position in the semiconductor ecosystem. Its energy-efficient chip architecture is widely used in mobile devices and is gaining relevance in areas such as data centers, cloud computing and AI infrastructure. As AI workloads expand beyond traditional d

My pick would be $Tesla Motors(TSLA)$ for my 2027 watchlist. 🚗 I believe the market may be underestimating its long-term potential in AI, FSD, Robotaxi, Optimus and energy storage. For me, Tesla is more than an EV company, although execution and valuation remain important risks. I am still bullish on Tesla over the long term, but I would not buy aggressively just because the share price has fallen. I want to see stronger evidence of growth, improving cash flow and progress in commercializing its AI-related businesses before adding more. My strategy is to accumulate patiently on meaningful pullbacks rather than chase a rebound. I believe the biggest opportunities often come when short-term sentiment is weak, but I still need fundamentals to suppor

I would choose B. 💾 $Micron Technology(MU)$ . Strong HBM demand and tight memory supply could continue supporting earnings growth as AI infrastructure expands. However, I believe the memory cycle will not move up in a straight line, and pricing sustainability remains key. I am still bullish on the long-term AI theme, but the recent semiconductor selloff reminds me that strong fundamentals do not always mean stocks are cheap. I would rather wait for price stabilization and confirmation of support than rush to buy the dip, especially with leveraged ETFs. For me, the next rally needs more than positive announcements. I want to see sustainable earnings growth, strong cash flow and broader recovery across the semiconductor sector. Patience and risk man

I think this sell-off reminds us that even strong AI companies can face pressure when spending rises faster than expected returns. I remain bullish on AI long term, but the market needs time to digest these huge investments. Good earnings do not always mean higher share prices when expectations are already high. Personally, I would wait for signs of stabilization before making aggressive moves. $ProShares Short QQQ(PSQ)$ , $ProShares UltraShort QQQ(

$SpaceX(SPCX)$ I am increasingly interested in collecting SpaceX (SPCX) stock for the long term because I believe its fundamentals and growth potential go far beyond traditional aerospace businesses. SpaceX has already established a strong position in rocket launches and satellite communications through Starlink. Its ability to develop reusable rockets has helped improve launch efficiency and reduce costs, creating a competitive advantage that is difficult for rivals to replicate. For me, this is not simply a bet on space exploration, but an investment in a company that is building important infrastructure for the future. Another reason I am bullish is Starlink's growing commercial potential. Satellite internet can serve customers in remote a

I would pick $Tesla Motors(TSLA)$ for a potential rebound, but I would not rush to buy the dip. I still believe in its long-term potential in FSD, Robotaxi, Optimus and AI. However, weaker automotive and energy revenue show that its traditional businesses are still under pressure, so execution remains key. $IBM(IBM)$ also looks interesting because software growth is improving and management expects stronger free cash flow. However, I would like to see whether this momentum can continue in the coming quarters rather than relying on one strong earnings report. For me, a post-earnings selloff is not automatically a buyi

I think the main issue is not whether Chinese tech companies have a future in AI, but how quickly they can turn investments into profits. $TENCENT(00700)$ and $Alibaba(09988)$ still have strong core businesses, but rising AI spending and competition could pressure earnings in the near term. Personally, I will not rush to buy the dip just because the Hang Seng TECH Index has fallen below 4,000. Lower prices do not automatically mean better value if earnings forecasts are also declining. I will watch for improving cash flow, AI monetization and earnings stability before adding exposure. That said, I remain open to

Small Steps, Big Possibilities 

I see the 50% approval threshold as a significant hurdle. Even if Elon Musk supports the $Tesla Motors(TSLA)$ $SpaceX(SPCX)$ merger, he still needs to convince shareholders that the deal will create real long-term value. This makes the outcome far from certain. Personally, I think valuation and potential dilution are the key concerns. SpaceX’s AI growth and Starlink business are attractive, but Tesla shareholders need to understand what they will receive in return. Strong business synergies alone do not guarantee a good deal if the valuation or exchange ratio is unfavourable. I am optimistic about Musk’s AI ecosystem

I think the AI, satellite and automotive ecosystem could create significant long-term synergies, but I would choose option ③: the exchange ratio and shareholder dilution matter most. $SpaceX(SPCX)$ AI revenue growth is impressive, yet its enormous capital expenditure raises questions about how sustainable that growth will be. As a Tesla investor, I see potential in combining FSD, Robotaxi, Optimus, energy storage, Starlink and AI computing. However, strategic synergies do not automatically translate into shareholder value. The valuation of both companies and the terms of any merger would determine whether Tesla shareholders truly benefit. I would remain optimistic but cautious until the details become clearer. For me, the key is wh

I would choose A, Perfect Entry. Buying a good company at a lower price gives me a better cost basis and more room for long-term returns. Of course, nobody can consistently predict the absolute bottom, so I prefer dollar-cost averaging and adding on pullbacks rather than trying to time the market perfectly. My worst attempt at timing the market was buying too early during a dip, only to watch the stock fall further. It taught me that even when the long-term thesis is right, the entry price still matters, and patience is essential. These days, I focus more on fundamentals, technical support levels and risk management. I would rather build a position gradually and stay disciplined than chase the perfect entry. For me, consistency beats perfection in the long run.

I would choose $Tesla Motors(TSLA)$ for the next year. While SpaceX’s AI growth is impressive, Tesla offers multiple growth drivers through FSD, Robotaxi, Optimus humanoid robots and energy storage, beyond its traditional automotive business. The potential $SpaceX(SPCX)$ merger is worth watching, but without confirmed terms, I would not invest based on speculation alone. SpaceX’s rapid expansion also comes with substantial capital expenditure, making cash flow and execution important factors. As a long-term Tesla investor, I remain bullish on its potential but will stay disciplined about valuation. For me, the real

I would watch earnings delivery first, followed by trading participation and price momentum. Bitcoin's recovery is encouraging, but weaker spot trading volume suggests that market sentiment has not fully translated into stronger business activity for $Coinbase Global, Inc.(COIN)$ . I think Coinbase has long-term potential as crypto adoption expands and its product offerings diversify. However, higher marketing expenses and earnings volatility remain concerns. The $250 price target is worth considering, but I would not rely on analyst forecasts alone when making investment decisions. For me, confirmation matters more than anticipation. I would look for improving trading volumes, sustainable revenue growth and stronger profitability before becomin

I believe electrical infrastructure and power generation will become increasingly important as AI data centers expand. Semiconductor companies may capture the initial excitement, but reliable electricity is essential to sustain AI growth. Among the three, I would keep $Quanta(PWR)$ on my watchlist for its exposure to grid expansion, while $Caterpillar(CAT)$ and $Cummins(CMI)$ also offer opportunities in power generation and backup systems. However, I would compare their valuations, earnings growth and cash flow before investing. I remain bullish on the long-term AI theme, but I wi

I would choose C, expecting $Netflix(NFLX)$ to trade within -5% to +5% after earnings. The market may have already priced in some growth concerns, so the reaction will depend more on forward guidance and management’s outlook than revenue and EPS alone. I remain positive about Netflix’s long-term business, especially its advertising expansion and live programming. However, weaker engagement and rising competition from YouTube and TikTok are risks I would not ignore. Growing revenue is important, but keeping users engaged is equally crucial. As an investor, I would rather hold and wait for the earnings results than buy more or take profits purely based on speculation. I want to see whether advertising and live content can deliver sustainable growth

I find $PTC Therapeutics(PTCT)$ and $Belite Bio, Inc.(BLTE)$ particularly interesting. PTCT already has a commercial product generating meaningful revenue, while BLTE offers a major FDA catalyst in February 2027. I generally prefer companies with clear milestones and evidence of commercial demand. However, biotech remains high risk. Even promising clinical results do not guarantee approval or share-price gains. For

I think the market is shifting from rewarding AI growth to demanding proof of returns. Higher inflation and uncertainty over Fed policy are putting pressure on valuations, especially in high-beta chip and memory stocks. I remain bullish on AI long term, but I expect volatility to continue. For my portfolio, I will be watching NVDA, $Micron Technology(MU)$ and NBIS closely. Nvidia’s relative resilience is encouraging, while memory stocks face both valuation pressure and concerns about future competition. For NBIS, I still believe in the long-term opportunity, but financing risks and the path to positive cash flow cannot be ignored. Ultimately, I believe this earnings season will separate companies with genuine AI monetization from those relying hea

As a $Tesla Motors(TSLA)$ bull, I am most interested in the bigger picture beyond quarterly deliveries. The delivery beat is encouraging, but the 2% YoY decline reminds me that Tesla still faces challenges in its core EV business. For me, the real growth opportunity lies in FSD, Robotaxi, Optimus and AI. The new Roadster is certainly exciting from an engineering perspective, especially its rocket-inspired technology. However, I see it more as a showcase of Tesla’s innovation than a major revenue driver. I would rather see Tesla turn its ambitious technologies into commercially viable products that can scale. I remain bullish on Tesla’s long-term vision, but I

I am most interested in $Salesforce.com(CRM)$ because I believe AI could strengthen established enterprise software companies rather than simply replace them. Salesforce already has a strong customer base, valuable business data and deeply integrated workflows, giving it potential advantages in the AI era. However, I will not buy simply because $Bank of America(BAC)$ upgraded the stock to Buy with a $285 price target. I want to see clear evidence that its AI products can generate meaningful incremental revenue and earnings growth, rather than just increasing costs and expectations. For me, the key is whether Salesforce can turn its AI capabilities into sustainable monetization. I remain selective with

I think $Meta Platforms, Inc.(META)$ is in a stronger position than many AI infrastructure companies because its advertising business can fund AI investment. AI is already improving ad monetization, but spending up to $145 billion on CapEx is massive. Strong revenue growth alone may not be enough to convince investors. For me, the key is whether AI investment can translate into sustainable earnings and cash flow growth. I remain bullish on AI, but the market is becoming more selective. Ambitious spending plans must eventually deliver measurable returns. I will watch Meta’s advertising growth, free cash flow and CapEx guidance closely, as these could influence $NV