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10-19
🐯 Q3 Earnings Season: Wall Street Expects Strong Growth, but Where Is the Money Going?
U.S. equities are attracting fresh capital, even as technology funds face billions in outflows. Is Wall Street positioning for another rally — or becoming more selective? Hey Tigers! 🐯 The Q3 2026 earnings season is officially underway, and Wall Street is entering one of the most important reporting periods of the year with high expectations. Corporate earnings are projected to grow nearly 30%, major banks have begun releasing their results, and investors are closely watching whether the AI boom can continue supporting profitability. But the latest market fund-flow data reveals an interesting contradiction. U.S. equity funds attracted $13 billion in fresh capital last week, while technology-sector funds recorded more than $5 billion in outflows. So, what are major financial institutions ex
TOP苏36: C: AI profitability. The market doesn't need more AI promises; it needs proof that massive investments can generate sustainable returns. US equity funds attracted $13.01 billion in the week ended October 14, while technology funds lost $5.21 billion. This divergence suggests that investors are not abandoning equities, but becoming more selective about where they take risks. FactSet projects 29% S&P 500 earnings growth for Q3, yet early earnings surprises are smaller than historical averages. Strong headline growth alone may not be enough to justify premium valuations. The real test is whether AI revenue can outpace rising capital expenditure, depreciation and financing costs. Companies that convert AI spending into stronger margins and free cash flow deserve a premium; those relying on future promises face greater downside. My view: The next rally will reward AI monetization, not AI excitement. Follow the cash flow, not just the hype. @Capital_Insights [贱笑]
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10-19
🚨 CoreWeave Drops Nearly 12%: Is AI Growth Becoming Too Expensive?
AI demand is booming, but not every company benefiting from the boom will necessarily become a profitable business. $CoreWeave (CRWV)$ fell 11.91% on Friday as concerns over debt and financing risks put pressure on its shares. The sell-off raises a bigger question for the AI sector: What happens when the cost of building AI infrastructure starts to matter as much as demand itself? CoreWeave is an important player in the AI infrastructure market, providing cloud computing capacity powered by GPUs. As AI companies race to train models and deploy new applications, the need for computing power creates a significant growth opportunity. However, building the infrastructure to meet that demand requires substantial capital. 🚀 The Opportunity: AI Computing Demand AI workloads require powerful chips
TOP11.9% isn’t just about cost — if GPU utilization stays weak, more financing only deepens the hole
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10-19
Option Movers | NVIDIA's $2.9 Million Short Strangle Sells 210 Puts and 240 Calls; CoreWeave's $3 Million Put Buy Signals Institutional Bearishness
Market Overview Wall Street tumbled on Friday (Oct 16), with CoreWeave, Broadcom and other AI-related technology stocks under renewed pressure, while a jump in oil prices spooked traders heading into the weekend. The Nasdaq fell over 4% for the week, hammered by concerns that debt-laden AI infrastructure companies may not turn profits in time to repay debts, particularly with borrowing costs expected to rise. Regarding the options market, a total volume of 62,950,524 contracts was traded, of which 53% were call options. Top 10 Option Volumes Top 10: $NVIDIA(NVDA)$, $Apple(AAPL)$, $Micron Technology(MU)$, $SpaceX(SPCX)$, <
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10-19
The market is sort of like a falling knife and I reckon there may be more downside at least till the end of the week when reversal rebound is likely to occur after all weak hands have had their stock sold. Will start to accumulate Meta, Google and MSFT or VOO before reversal.
TOPMeta and Microsoft are the cleaner adds here, but I would wait for the weak flush to finish first lol
669
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10-19
bought qqqi, spyi and smh. Cos those prices of the stocks had reached by target to add on. i guess ive bought the dip for this time round. but will still continue to monitor the prices and market. Still keeping some cash in case theres further opportunity to scoop more stocks. Anyway, the market still shaky, hence do not go all in at once, separate the bullet in a few tranches to spread the risk and also diversification.
TOPQQQI and SMH being roughly 8% cheaper than last month helps, but with the tape still shaky I would wait for a cleaner right side first
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10-19
Opportunity to make some cold hard cash! Market is undergoing lots of volatilities cos of AI bubbles and US manipulation of their economy for the upcoming 3rd November election.
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10-19
I would like to buy yoma a Myanmar conglomerate, as it has been a while since it last show some promise. I hope the political situation will improve soon to give them a boost.
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10-19
$PTIR - it always goes up after earnings and i made gaps doing rolling covered calls that expired below strike Sold 9@$23 strike 16 oct exp For $270ea Closed in dip @30 Turned around and sold again a week before expiry $170 ea Kept the shares Which now cost me about $4 less I ❤️❤️❤️ rolling covered calls Income from shares without selling them
TOPIV crush is half the magic here lol, the share cost basis grind is the part people underestimate
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10-19
This market is providing very good opportunities to buy quality companies. I have been buying Mapletree Industrial Trust and ComfortDelGro, both of which have dropped substantially and offer very good dividend returns. They are established companies in Singapore and I want a piece of the business to ride through this rough patch and rise with the company when the economy recovers! Diversification is key and commitment is needed.
TOPMIT around a 6% yield is the part that stands out to me, not just the drop. For CDG I care more about whether cash flow stays this steady
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10-19
PCT: My Coffee Can Portfolio v1.0 : PCT = Pandas Coffee Can v1.0: My 5 Shares Coffee Can Portfolio: DBS. OCBC. UOB. SPCX. NVDA. One whole share each. A Coffee Can Portfolio is a long-term, "buy-and-forget" investment strategy where you select a basket of high-quality stocks, put them away, and hold them untouched for at least 10 years to let compound growth work without emotional trading. Core Principles • Low Churn: Avoid buying and selling frequently to cut down on transaction costs, commissions, and capital gains taxes. • Extreme Patience: Keep the portfolio locked away for a minimum of 10 to 30 years, resisting the urge to react to short-term market noise. • Power of Asymmetry: Losers in the portfolio can only drop by a maximum of 100% (limiting downside to your init
TOPThe bank trio fits the coffee can idea. SPCX and Nvidia make it less sleepy though — feels like you want stability plus a bit more upside.
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10-19
🐯 Wall Street’s Upgrade & Downgrade Radar: The Biggest Analyst Calls of the Week
Hey Tigers! 🐯 Another week, another round of Wall Street analysts reassessing their favorite stocks. From AI software and semiconductor infrastructure to consumer brands and media companies, analysts sent mixed signals about where they see the biggest opportunities — and risks. Some companies received significant upgrades and higher price targets, while others faced growing concerns about valuations and future growth. Let's break down some of the week's most notable analyst calls from October 12–16, 2026! 👇 📅 Monday, Oct. 12: Salesforce Gets a Major AI-Era Upgrade 🤖 Stock Firm Rating Change Price Target 🟢 $Salesforce.com(CRM)$ $Bank of America(BAC)$ Underperform → Buy $285 🔴
TOPI 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 software stocks, as attractive long-term potential must still be supported by reasonable valuations and solid fundamentals. @TigerStars @TigerClub @Tiger_comments @WallStreet_Tiger
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10-19
Buying the Dip? Lessons from My TTD Wipeout, Before I Look at Tesla I'll be real: TTD cost me a lot more than a few kopi runs and chicken rice. Great company, great story, so I bought the dip, then bought the next one. Then earnings came and it dropped 30%+ in a single day. The business wasn't broken. I paid a "must be perfect" price for a company that only had to miss once. Lesson one: a great company is not the same as a great entry price. Now Tesla has just shown a Roadster that flies on cold-gas thrusters, jumping over cars and doing a barrel roll. Production is promised for 2028, flying on public roads isn't permitted, and Roadster dates have slipped since 2017. Here in Singapore, where a COE alone can cost more than a car overseas, nobody is flying anywhere soon. 😄 So I'm not buying
TOPTTD pain was as much multiple compression as story break. Tesla has more engines, but if AI slips, that volatility can get uglier than people think
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10-19
AI Stocks Are Selling Off, but Meta Plans to Spend Up to $145B: Will Wall Street Keep Funding the AI
The AI trade is facing one of its biggest tests yet. Last week, the Philadelphia Semiconductor Index fell roughly 11%, as investors grew increasingly concerned about AI infrastructure financing, elevated valuations and whether massive capital spending could eventually generate sufficient returns. Yet just as Wall Street begins questioning the economics of AI, Meta is preparing to report its Q3 earnings on October 21. And the company has already outlined an extraordinary spending plan: $130 billion to $145 billion in capital expenditures for 2026. That creates an interesting contradiction. AI infrastructure stocks are getting punished for spending too much, while Meta is preparing to defend one of the largest AI investment programs in the industry. So the real question going into earnings i
TOPI choose ②, but with one caveat: Meta's advertising cash flow is its biggest advantage, not a blank check for unlimited AI spending. Meta generated $60.8 billion in Q2 revenue, up 28% year over year, yet free cash flow plunged to $784 million as capital expenditure reached $31.08 billion. That is the uncomfortable reality behind the AI boom. Unlike heavily leveraged AI infrastructure providers, Meta has billions of users and an established advertising engine. AI can improve targeting, increase engagement and generate more revenue from its existing ecosystem. However, spending up to $145 billion in 2026 raises the stakes. Revenue growth alone will not justify the investment if cash flow keeps deteriorating. My view:Meta deserves a premium for monetizing AI, but not an unlimited premium for spending on it.The real winner will be the company that turns AI computing power into measurable earnings growth, not the one that buys the most GPUs. @Tiger_comments [正经]
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10-17
$Berkshire Hathaway(BRK.B)$ Berkshire Hathaway (BRK.B) — Recent Bullish vs Bearish News Snapshot (2026-10-17): BRK.B last traded at $532.02 , +1.21% on the day, with a 52-week range of $464.01–$537.74 — the stock sits in the 92nd percentile of that range, just ~1.1% below its 52-week high. Up 3.18% over 5 days, 6.84% over the past month, 5.84% over the past year. PE (TTM) 13.3x, PB 1.52x. The news flow over the past ~2 months has been unusually dense, driven mainly by the post-Buffett succession and a visible shift in capital allocation under CEO Greg Abel. Bullish developments 1. Q2 2026 earnings — headline profit doubled. H1 2026 revenue of $209.96bn (+15.25% YoY) and net profit of $359.51bn... more precisely, H1 net profit attributable of
BRK.B
10-17 06:04
USBerkshire Hathaway
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Buy Open | 528.83 0 | +3.67% Holding |
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10-17
$SPDR S&P 500 ETF Trust(SPY)$ Recent news flow for SPDR S&P 500 ETF Trust (SPY) watchlist is mixed, but the immediate tone has turned mildly bearish : resilient economic data supports corporate demand, while inflation and a technology-led risk-off move are pressuring the index. Bullish developments Consumer demand remains firm: September retail sales rose 0.8% month-on-month , ahead of the 0.3% consensus . Initial jobless claims were 199,000 , slightly below the 200,000 consensus . This combination supports the “growth without an abrupt labour-market break” narrative. Manufacturing indicators were strong: The October Empire State index was 25.5 versus 10.25 expected ; the Philadelphia Fed index was also positive at 20.9 . That is const
SPY
10-17 06:05
USSPDR S&P 500 ETF Trust
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Buy Open | 764.40 0 | -0.03% Holding |
TOPEmpire and Philly still say the economy is holding up. For SPY, 759.36 matters more than the macro debate right here
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10-17
Memory Crushed, AI Chips Rallied. Is Semiconductor Money Rotating Internally? The Answer Came Three Days Later Written Saturday 17 Oct, SGT, using Friday's US closes. First, check the date on the numbers The figures in this topic are real, but they come from Tuesday, Oct 13. That day Nvidia closed up 0.97% at $228.52, AMD rose 1.90% to $605.53 and Intel gained 1.44% to $102.81. Micron fell 3.62% to $953.19, its fourth straight loss, after China's CXMT said it plans to launch a 4F2 DDR5 server memory module by year-end. On that one session, it did look like rotation: money leaving memory and moving into compute. Now look at what happened over the next three sessions. The scoreboard: Tuesday close to Friday close - Nvidia: $228.52 to $214.13, -6.30% - Micron: $953.19 to $878.84, -7.80% - Bro
TOPsector wide de-risking. Why logic chips couldn't escape The bull argument is that compute demand isn't tied to memory pricing and that logic chip orders are more visible. That's true at the product level. It misses one thing: memory and logic chips are sold to the same customers out of the same budget. Every HBM stack Micron and SK Hynix sell sits next to a GPU from Nvidia or AMD, inside a data center paid for by hyperscaler capex. When the market starts asking whether that spending can be financed, it doesn't separate the two. It sells both. Three things put that funding question on the table this week: 1. Rates. September CPI came in at 3.7% against 3.6% expected, and PPI jumped 1.3% against 0.5% expected. CME pricing put December hike odds at 74.3%, up from 50.2% a month earlier. The 10-year yield sits at 5.09%. Higher rates make data centers more expensive to build. 2. AI credit. CoreWeave fell 11.91% on Friday to $61.39 and 25.21% for the week. Its 2032 notes yield about 14%
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10-17
$Cipher Mining Inc.(CIFR)$ Recent news flow for Cipher Mining (CIFR) watchlist is mixed, with the near-term fundamental read still cautious despite a constructive AI-data-centre transition narrative. Bullish developments Earlier-than-planned data-centre delivery: Cipher said it began delivering initial Black Pearl capacity in early August—two months ahead of its prior schedule—following a lease amendment with a hyperscale tenant. A reported Amazon lease has started contributing revenue, which is important validation that its shift from Bitcoin mining toward HPC/AI hosting is becoming operational. East Money East Money Pipeline and funding runway: The company obtained an option on the Apollo site in Texas, with potential capacity of up to 900
CIFR
10-17 13:16
USCipher Mining Inc.
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Buy Open | 10.50 100 | -22.00% Holding |
TOPThe transition story is sexy, but wider losses and weaker mining are the real drag. I care more about whether Black Pearl turns into recurring lease revenue on time
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10-17
PCAR — The Business Behind America’s Trucking Industry
Everyone talks about technology stocks, but what about the companies moving goods across the economy? Today’s pick is $PACCAR Inc(PCAR)$ , the manufacturer behind Kenworth, Peterbilt and DAF trucks. Its business is closely linked to freight demand, fleet replacement and economic activity. 💡 Why put PCAR on your watchlist? 📦 Freight is essential: Businesses still need trucks to move food, materials and consumer goods, regardless of which technology trend dominates the market. 🚚 Replacement demand: Commercial trucks eventually need replacing. When fleet operators regain confidence, new orders can support manufacturers. 🔧 More than truck sales: PACCAR also generates revenue from parts and financial services, giving it several sources of income.
TOPI lean B. Fleet age is the piece I watch most — when trucks get older, replacement demand can snap back fast even before freight fully heals.
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10-19
NVIDIA’s data center business alone brings in more quarterly revenue than Google Search.
The MANGOS pack spans social media, AI, chips, search, and space, but where is the biggest revenue coming from? NVIDIA’s data center business alone brings in more quarterly revenue than Google Search. Explore the chart to see how Meta, Anthropic, NVIDIA $英偉達(NVDA)$ , Google $谷歌(GOOG)$ , OpenAI, and SpaceX $SpaceX(SPCX)$ stack up. 👇
TOPRevenue comp is fun, but I care more about operating margin and that 67.88% FCF drop. Search cash flow is still a different beast.
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10-19
Navigating the Producer Price Surge: Sector Rotation and Portfolio Strategy in a Higher-for-Longer Environment
A surging month-over-month Producer Price Index (PPI)—such as the recent 1.3% monthly jump driven by sticky energy and core wholesale costs—signals rising input pressures and keeps Federal Reserve "higher-for-longer" or tightening expectations alive. In this article we would like to share an analytical assessment of wholesale inflation dynamics, Federal Reserve policy calibration, and portfolio repositioning out of high-multiple growth into defensive pricing power. 1. The PPI Shock: Dissecting the 1.3% Surge and Fed Implications The recent 1.3% month-over-month leap in the Producer Price Index represents a critical inflection point in the inflation narrative. While consumer-facing CPI measures often exhibit lagged stickiness, the PPI serves as a leading indicator for aggregate margin press
TOPXLF below its historical P/B does look interesting, and higher rates can still support NIM. The part I worry about is whether credit costs start offsetting that value catch-up