No1. $苹果(AAPL)$ No2. $星展集团控股(D05.SI)$ No3. $特斯拉(TSLA)$ No4. $英伟达(NVDA)$ Thank u [贱笑] @TigerEvents

Chart #12 probably hits hardest: losses are mathematically brutal. A 50% drawdown requires a 100% gain just to get back to where you started. That’s why avoiding permanent capital destruction matters more than chasing every hot trade. But Chart #14 is the bigger lesson for me: time is an investor’s greatest advantage. Compounding rewards those who start early, keep adding, and resist the temptation to constantly interfere. The market will always offer reasons to panic at the bottom and feel invincible near the top. The real edge is staying rational when everyone else is emotional. I’d rather own a few businesses with durable moats, strong ROIC and long reinvestment runways than constantly rotate into whatever is trending. Investing isn’t about being right every quarter. It’s about survivi

I’d pick C. Both. The bigger opportunity isn’t MBS taking market share from RWS, but Singapore growing the entire tourism pie. MBS’s US$8 billion expansion is a major bet on luxury tourism, concerts and MICE. Its 15,000-seat arena could attract more global acts and overseas visitors, boosting spending across hotels, restaurants, retail and entertainment. Meanwhile, Genting Singapore’s RWS 2.0 provides its own growth catalyst through expanded attractions and hospitality. If both projects succeed, Singapore could create a powerful cycle: better attractions bring more tourists, while bigger events drive higher-value spending. By 2031, the real winner may be Singapore itself. For investors, however, I’d focus on ROIC, visitor growth, gaming revenue and valuation. A bigger tourism market is bu

If I had to pick just one, I’d go with $SNOW. BE has the cleaner technical breakout, while HOOD, COIN and MSTR could deliver bigger gains if Bitcoin keeps climbing. But SNOW is the setup I find most convincing because the fundamentals are catching up with the price. Product revenue grew 37% YoY to $1.49B, and management raised FY2027 guidance to $6.07B. More importantly, AI is driving increasing customer consumption, suggesting this isn’t simply another AI-fueled valuation story. Still, a 16%+ one-day rally means expectations are now elevated. I wouldn’t chase the spike. I’d rather wait for consolidation or a pullback and see whether the earnings gap becomes a new support zone. My choice: SNOW. Not the fastest horse, but arguably the one with the strongest evidence behind its breakout.

Tonight’s jobs report changed the market narrative. August payrolls surged 162K versus expectations of just 56K, while unemployment stayed at 4.1% and July was revised sharply higher. This is excellent news for the US economy, but not necessarily for stocks. A resilient labor market gives the Fed less reason to ease policy and could keep September rate-hike risks alive. Still, wage growth at 3.1% YoY remains relatively contained. So this isn’t a death sentence for tech—it simply shifts the spotlight to inflation. The next CPI report may matter more than tonight’s payrolls. If inflation cools, strong employment becomes a growth-positive signal. If CPI accelerates, markets could face a painful repricing of rate expectations. Strong jobs, stubborn rates—the Fed still holds the cards.

I wouldn’t rush into Snowflake after a 16.5% single-day surge. The fundamentals are clearly improving: product revenue grew 37%, AI contributed roughly half of the recent acceleration, and full-year product revenue guidance was raised to $6.07 billion. However, there’s an important catch: management lowered its product gross-margin outlook to 74% because AI workloads are more expensive to run. That means revenue growth is accelerating, but profitability is not moving in the same direction. My view: SNOW is a strong long-term AI/cloud story, but I’d rather buy the pullback than chase the breakout. If growth keeps accelerating and margins stabilize, today’s valuation could eventually look reasonable. If margins keep deteriorating, the market may quickly reconsider the premium.

$BlackSky Technology (BKSY) BlackSky is a relatively small company, but what it is building sits at the intersection of space, AI, defense and real-time intelligence. And that combination is what makes this stock interesting. It’s not a rocket company. It’s not simply selling satellite images. Its bigger idea is: «Use satellites to collect real-time information, then use AI and software to turn that data into actionable intelligence.» That could become a much bigger business than simply selling pictures from space. --- 🌍 What does BlackSky actually do? BlackSky operates a constellation of Earth-observation satellites. These satellites collect imagery and other data from locations around the world. BlackSky then combines that information with its software and AI capabilities to identify cha

Franklin’s framework is especially relevant for September: the AI bull thesis may remain intact, but that doesn’t mean every AI stock is a buy. I’m still bullish on semiconductors because AI demand is expanding beyond GPUs into HBM, networking, optics, power and cooling. Nvidia’s results prove demand is strong, but expectations are now extremely high. The key question is no longer “Is AI growing?” but “Is growth strong enough to beat what the market already priced in?” For September, I’d watch long-term Treasury yields closely. Rising yields can compress tech valuations even when earnings remain excellent. My approach is to buy confirmation, not excitement. QQQ can remain a core position, while SOXL and TQQQ should be tactical tools with strict sizing. Macro → Industry → Technicals → Risk.

My Take: Expectations Matter More Than Earnings This earnings night shows a crucial market lesson: a stock doesn’t trade on how good the results are—it trades on how good they are versus expectations. SNOW was the biggest surprise because growth re-accelerated, product revenue jumped 37%, and full-year guidance was raised. Investors weren’t positioned for that combination, so the upside was explosive. AVGO was different. Its numbers were phenomenal, with AI semiconductor revenue soaring 221%, but expectations were already extreme. A tiny guidance shortfall and margin pressure were enough to trigger selling. HPE delivered strong results too, but without a major upside surprise. So when a stock barely moves after beating earnings, I don’t automatically see a warning. I see a market telling u

September feels less like a “sell everything” moment and more like a stress test for the AI bull market. JPMorgan, Wells Fargo and Citadel are all becoming cautious, but for different reasons: Fed policy, rising yields, stretched positioning and questions over whether AI capex can keep delivering enough economic returns. I wouldn’t abandon U.S. equities after such a strong rally. Instead, I’d shift from momentum chasing to quality and discipline. The key catalysts are jobs, CPI and the Fed. Strong data could ironically pressure stocks by keeping rates higher, while softer data may revive the rally. For AI, the story remains powerful—but spending eventually needs to translate into revenue, margins and productivity. My play: stay invested, trim excessive risk, keep some dry powder, and buy

I’d pick C — Both, because agentic cybersecurity could create a new AI value chain rather than a winner-takes-all market. NVIDIA sits underneath the ecosystem: more autonomous security agents mean more inference, accelerated computing and potentially recurring demand beyond traditional AI training. CrowdStrike owns the application layer, where successful deployment could translate into deeper Falcon adoption, higher module penetration and stronger ARR. However, I wouldn’t treat SafeMind as an immediate revenue catalyst. The real investment signal will be enterprise customers actually deploying it at scale, trusting AI to take increasingly autonomous actions, and ultimately paying more for the platform. If that happens, NVDA captures the infrastructure upside while CRWD captures the softwa

Franklin’s four-step framework—market, business, price, and risk—is a powerful antidote to ticker-first investing. The biggest takeaway is that a strong AI narrative does not automatically make a stock a good buy. Semiconductor demand can remain structurally strong, yet valuation, long-term Treasury yields, Fed expectations, and market positioning may determine short-term returns. I especially like using QQQ and SOXX as “market thermometers” before taking individual positions. The warning on SOXL and TQQQ is equally valuable: daily 3x leverage is designed to amplify daily moves, not guarantee three times the long-term performance. Volatility can make the compounding effect work against investors. Ultimately, successful AI investing is less about predicting the next winner and more about bu

I’d choose A: The market is reasonably discounting execution risk. Broadcom’s results were exceptional: AI semiconductor revenue jumped 221% YoY to $16.7 billion, while management raised its FY2027 AI revenue target to $115 billion. The long-term AI story clearly remains intact. But expectations have changed. With so much optimism already priced in, investors are no longer asking whether AI demand is strong—they are asking whether Broadcom can deliver the chips on schedule, maintain margins and convert customer roadmaps into actual revenue. The 0.7% Q4 guidance gap is tiny fundamentally, but meaningful when valuation and expectations are this high. To me, this isn’t an AI warning. It’s a “show me the execution” moment. Broadcom can still win—but the bar is now extremely high.

The most interesting takeaway isn’t that Dell, Palo Alto Networks, and Moderna are all benefiting from technology—it’s where the value is accruing. Dell shows AI infrastructure is still supply-constrained, with a record $95B backlog and $192B FY27 revenue guidance. Palo Alto shows the next layer: as AI expands the attack surface, cybersecurity becomes mandatory. But with FY27 growth normalizing to ~23–24%, valuation matters. Moderna represents the highest-risk, highest-upside frontier: turning personalized mRNA oncology from science into a commercial platform. My conclusion: AI creates the demand, security protects it, and biotech may ultimately redefine what technology can do. The winners won’t simply have breakthrough technology—they’ll be the ones that convert breakthroughs into scalab

I’d lean toward Optionspuppy’s view. NVIDIA’s $96.2B revenue and $89B Data Center sales show that AI demand is still accelerating, while its $108B next-quarter guide reinforces the momentum. But the bigger opportunity may be beyond NVDA itself. As AI clusters scale, bottlenecks are shifting toward HBM, networking, power, cooling and advanced packaging. NVIDIA’s moat remains formidable, especially with CUDA and its full-stack platform, but the next phase of the AI trade could reward companies enabling every GPU to become more productive. For me, the key question is no longer “Will AI spending continue?” but “Who captures the next dollar of AI infrastructure spending?” That’s where I’d look for the next winners. @WallStreet_Tiger [龇牙]

I’d follow the trend, but not chase the 10% spike. Dell’s numbers are too strong to ignore: AI-server orders hit $60.9B, backlog reached a record $95B, and FY27 revenue guidance jumped to $192B. What makes Dell interesting is that this isn’t just an “AI story”—traditional servers, networking and storage are accelerating too. The key risk is valuation after a huge run, plus margins and cash flow as Dell scales capacity. As for Trump’s reported Dell stake, I wouldn’t make that the investment thesis. The backlog is the thesis. My play: hold/buy on pullbacks, not chase the first green candle. Dell looks like one of the cleaner ways to ride the AI infrastructure boom. @Tiger_Earnings [财迷]

B — Tech Stocks. Energy has the stronger near-term setup. Brent above $95 could boost cash flow and earnings expectations for producers like Exxon, Chevron and Woodside. But if I could hold only one sector through year-end, I’d choose tech. Higher oil prices and rising Treasury yields are putting real pressure on high-growth stocks, especially expensive AI names. However, I see this as a valuation reset rather than the end of the AI cycle. Nvidia, Broadcom, Microsoft and other leaders continue to benefit from massive AI infrastructure spending, strong demand and expanding earnings power. Energy is more dependent on geopolitics and the oil-price cycle. Tech has a broader structural growth story that can survive temporary macro pressure. My pick: B — Tech. Energy may win the next few weeks,