巴韭特

$SpaceX(SPCX.US)Bullish on SpaceX. Target price stands at USD 190 per share, corresponding to an estimated market capitalization of roughly USD 2.5 trillion, with a 12-month holding horizon.Core supporting thesis: As SpaceX’s core profit engine, Starlink notched over USD 4.4 billion in operating profit in 2025, with global paid subscribers topping 10 million and steadily improving cash flow. Backlogs from NASA and the U.S. military exceed USD 22 billion, forming a solid long-term revenue buffer. Mass production of Starship is expected to further cut launch costs by 80%, unlocking long-term growth upside in space cargo and in-orbit computing.Hedging strategy: Pair the position with a 10% allocation to a traditional aerospace and defense ETF to hedge against R&D underperformance risks, and limit the single-stock exposure to no more than 8% of total portfolio capital.

$Grab(GRAB.US)Today my position in Grab Holdings (GRAB) closed with a daily profit of $0.69 USD, delivering a modest but steady positive return for my portfolio.I built this small position based on my bullish view of Grab’s unshakable leading position in Southeast Asia’s super-app ecosystem, which covers ride-hailing, on-demand food delivery, and digital financial services. Today’s mild price increase is mainly driven by upbeat market sentiment toward regional tourism and consumption recovery in the summer peak season, rather than any material corporate announcement.This trade has deepened my investment insight: local tech leaders in emerging markets with strong competitive moats are less sensitive to U.S. interest rate fluctuations, and can offer effective diversification returns for global portfolios.For my personal risk management strategy, I limit GRAB to a satellite position of no more than 5% of my total capital to mitigate emerging market regulatory and foreign exchange risks. I also set a 7% trailing stop-loss order to protect accumulated gains while retaining upside potential. Going forward, I will closely track its quarterly GMV growth and adjusted EBITDA margin to verify its long-term profitability path.

$麦当劳(MCD.US)#Trade ShowcaseToday I held McDonald’s (MCD) stock and closed with a minor daily loss of $0.94 USD. Let me walk through this trade recap and my takeaways. I opened this small position on MCD as a defensive consumer staple play, betting its stable fast-food revenue and global franchise model could buffer market volatility. However, broad mild pullbacks across blue-chip consumer stocks dragged MCD down slightly today, with no company-specific negative news to trigger this dip.This small loss taught me a clear investment insight: even recession-resistant defensive stocks are not immune to short-term market sentiment swings. I shouldn’t blindly assume staple equities will always hold steady on a single trading day. For my personal risk management strategy, I only allocated a tiny portion of my total portfolio to MCD to limit single-stock downside risk. I also set a mental stop-loss threshold; if MCD’s cumulative loss hits 3% of my position value, I will rebalance and trim holdings to avoid overexposure. Going forward, I plan to track MCD’s monthly same-store sales data closely to judge its mid-term fundamentals instead of reacting hastily to one-day minor losses.

$英伟达(NVDA.US)Today my position in NVIDIA (NVDA) closed with a minor daily loss of $0.32 USD, a mild pullback following the stock’s recent sustained uptrend.I built this position to bet on the long-term secular growth of the global AI industry, as NVIDIA holds a dominant market share in high-performance AI GPUs and serves as the core infrastructure provider for generative AI and data center upgrades. Today’s slight dip is not triggered by company-specific negative news; it is mainly a normal technical consolidation as the market digests its premium valuation and weighs near-term interest rate expectations.This trade strengthens my investment insight: high-growth tech leaders always come with short-term volatility, and trivial one-day price swings should never shake confidence in well-established long-term industry logic. The AI demand cycle is still in its early stage, with enterprise and cloud spending on AI infrastructure continuing to rise steadily.For my personal risk management strategy, I limit NVDA exposure to no more than 10% of my total portfolio to avoid overconcentration risk. I also set an 8% trailing stop-loss to safeguard my gains and principal from sharp drawdowns, and I plan to scale into the position gradually on meaningful pullbacks rather than chasing rallies. Going forward, I will closely track its quarterly data center revenue and AI chip shipment guidance to validate my long-term thesis.