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Tiger_SG
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08-28 14:53

🎁 Writing Contest|August Trading Recap: Plan for September

August is coming to an end, and September is just around the corner. Take a moment to look back at every buy, sell, and decision you made this month: What did you get right? What would you rethink? And if you could do it all over again, what would you do differently? Growth in trading doesn’t come from profits alone. It also comes from reflecting on every trade and learning from the experience. A successful trade is worth understanding—what made it work? An unsuccessful one is just as valuable—what could have been done differently? A meaningful review isn’t about judging your past self. It’s about helping your future self make better decisions and avoid the same mistakes. 📝 This Week’s Topic August Trading Recap: Reflect, Learn & Plan for September Share your August trading recap + Sep
🎁 Writing Contest|August Trading Recap: Plan for September
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Buffett followers
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08-28 14:00

Beyond Hyperscalers: Why AI Compute Growth Won’t End Even If Big‑Tech Spending Slows

NVIDIA broke out its data‑center business into two buckets in the latest earnings report: hyperscaler customers, and ACIE, which encompasses industrial, enterprise and sovereign clients. ACIE is now where most of the company’s new‑found growth is coming from. Analysing AI computing capacity should never hinge entirely on whether big‑tech players keep ramping up outlays. AI extends far beyond a small group of large cloud firms, with embodied intelligence and many other real‑world applications opening up extensive demand avenues. The popular narrative that AI compute infrastructure would hit its ceiling once hyperscaler expenditure loses momentum does not hold water, and NVIDIA’s quarterly results have now laid that argument to rest. The brutal correction sweeping the AI compute supply chain
Beyond Hyperscalers: Why AI Compute Growth Won’t End Even If Big‑Tech Spending Slows
TOPvibzee: ACIE driving over half the incremental data-center growth is the part people are still sleeping on. Enterprise AI rollout is a much longer runway than the hyperscaler capex panic trade implies
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DengDeng
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08-28
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Kaka1992
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08-28
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Alihuat
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08-28
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Crypto999
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08-28
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McMillan Daily
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08-28

INVST Acquires McMillan: Two Teams. One Standard. One Mission.

$SMP$  By Lawrence G. McMillan We’re excited to announce that INVST has acquired McMillan, bringing together two firms built on a shared belief in disciplined investing, deep expertise, and putting clients first. Founded by Larry McMillan, McMillan has spent decades at the forefront of options strategy, investment research, and risk management. Larry’s Options as a Strategic Investment has sold more than 300,000 copies, and the McMillan team has built its reputation around a repeatable, rules-based approach to managing risk and opportunity. Now, that expertise becomes an integrated part of the INVST investment team. For INVST clients, this means greater access to sophisticated options and risk-management strategies, additional resources for ad
INVST Acquires McMillan: Two Teams. One Standard. One Mission.
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nerdbull1669
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08-28

U.S. Market Rally Ignited by Nvidia's Blockbuster Q2 Earnings: Macro Risk, AI Growth Trends, and Rate Outlook

On August 27, 2026, major U.S. stock indices experienced a powerful bullish session driven by semiconductor mega-caps and enterprise software giants. The tech-heavy $NASDAQ(.IXIC)$ Nasdaq Composite led the surge, advancing 1.57% (+411.16 points) to close at 26,541.35, while the benchmark $S&P 500(.SPX)$ S&P 500 climbed 0.72% (+55.29 points) to finish at 7,730.99. The Dow Jones Industrial Average added 0.20% (+105.56 points) to reach 53,569.44, and the small-cap Russell 2000 gained 0.28% to close at 3,014.34. 1. U.S. Major Stock Indexes Performance (August 27, 2026) U.S. equity markets opened with significant upside momentum on August 27, 2026, driven by an overwhelming wave of institutional buyin
U.S. Market Rally Ignited by Nvidia's Blockbuster Q2 Earnings: Macro Risk, AI Growth Trends, and Rate Outlook
TOPpeepzy: PEG at 1.8 vs a 1.2 historical average is already rich. Nvidia can keep the tape hot, but SOX into September feels more like selective upside than a clean sector chase
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AI_FocusedTrader
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08-28

NVDA and MRVL: Two Strong Earnings Reports, Two Completely Different Scripts

Wednesday's $NVIDIA(NVDA)$ and Thursday's $Marvell Technology(MRVL)$ : Two Strong Earnings Reports, Two Completely Different Scripts $MRVL Marvell plunged after hours, immediately erasing the gains of the past few days. After reviewing $NVDA NVIDIA's and Marvell's earnings back-to-back, my biggest takeaway is this: both delivered excellent results, yet the market applied two entirely different pricing frameworks. NVIDIA: sold off first, then rallied Marvell: strong numbers, stock got hammered Explaining this away as simple "buy the rumor, sell the news" feels insufficient. The real difference lies in how much the market had already priced in before the reports were released. First, let's look at
NVDA and MRVL: Two Strong Earnings Reports, Two Completely Different Scripts
TOPShyon: What stands out to me is that NVIDIA and Marvell both delivered strong results, but the market was trading expectations, not just earnings. NVIDIA initially dipped because huge beats had become the norm, but Jensen Huang's comments on accelerating AI demand, Rubin production and long-term growth gave investors a reason to reprice the stock higher. For Marvell, expectations had already become extremely high after the Google custom-silicon deal and its huge YTD rally. The fundamentals remain strong, but investors learned that the bigger Google revenue contribution may take longer to materialize, so the market reset its timeline and valuation. My takeaway is simple: earnings are about the gap between reality and expectations. NVIDIA raised expectations for the future, while Marvell pushed some of that upside further out. I wouldn't automatically see MRVL's selloff as a broken thesis—it may simply be a valuation and timing reset. @Tiger_comments @TigerStars @AI_FocusedTrader
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INVESTeaDI
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08-28

AIPO ETF, to bet on power-hungry AI trend? Deep dive on what ETF is holding, by INVESTeaDI.

https://youtu.be/P2TPJWwgbvA AIPO focuses on US-listed companies generating a significant share of their revenue from AI and power infrastructure. It holds firms involved in decentralized energy, electric grid equipment, nuclear and battery technology, data center operations, engineering for energy and data projects, and AI computing hardware. The index uses a rules-based approach, screening eligible companies by revenue exposure, size, and liquidity. It applies a tiered weighting system, allocating half its weight to power generation and grid equipment, with the rest split among construction, utilities, and AI hardware and data centers. Within each segment, holdings are weighted by free-float market cap, subject to caps. The fund uses a passive strategy, aiming to replicate the index by h
AIPO ETF, to bet on power-hungry AI trend? Deep dive on what ETF is holding, by INVESTeaDI.
TOPCharlesBaker: That tiered weighting is the part I care about most. Does the prospectus spell out a hard revenue exposure threshold for the AI and power theme, or is there committee discretion too
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Marktomarket
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08-27

Nvidia Can Push Its Own Prices Up. It Cannot Push Memory's Down.

Hello. US markets barely moved during Wednesday's session — $S&P 500(.SPX)$ fell 0.02 per cent and $Invesco QQQ(QQQ)$ rose 0.09 per cent, with everyone waiting on one set of results after the close. They arrived, and the numbers were better than anyone had expected. Record revenue of US$96.221 billion, up 106 per cent year on year, with data centre revenue up 117 per cent; consensus was about US$92.38 billion, so revenue came in about 4 per cent ahead, and adjusted earnings per share was US$2.22 against US$2.09 expected, about 6.22 per cent ahead. Guidance for the current quarter is about US$108 billion, and revenue in financial year 2028 is expected to grow about 70 per
Nvidia Can Push Its Own Prices Up. It Cannot Push Memory's Down.
TOP苏36: The real takeaway from Nvidia's blowout quarter is not whether AI demand is strong — it clearly is. The bigger question is who captures the next dollar of AI spending. Nvidia's 106% revenue growth proves pricing power remains extraordinary, but falling gross margins toward 71 – 72% show that suppliers, especially memory makers, are taking a larger slice. I'm less worried about Nvidia becoming a "central bank of AI" than I'm about the ecosystem becoming increasingly dependent on Nvidia-backed financing and commitments. With receivables rising and payment periods stretching, cash-flow quality deserves closer attention. For me, the next trade may therefore be beyond NVDA: memory, networking and power infrastructure could capture more of the AI boom as Nvidia's margins normalize. @Marktomarket [微笑]
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Tiger_comments
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08-28

Software Strikes Back: Salesforce and CrowdStrike Jump 20% as AI Turns Into a Revenue Engine

For months, investors treated AI as an existential threat to software companies. The latest earnings reports offered a different possibility: companies with proprietary enterprise data and deeply embedded workflows may be able to charge for AI instead of being replaced by it. Salesforce surged 22.6%, CrowdStrike climbed 20.5%, while the iShares Expanded Tech-Software Sector ETF gained roughly 7.6%. ServiceNow and Palo Alto Networks also joined the rebound. Salesforce: Agentforce is starting to generate real revenue Salesforce reported fiscal Q2 revenue of $11.35 billion, up 11% year over year, and raised its full-year revenue outlook to $46.1–46.4 billion. The AI numbers attracted even more attention: Agentforce and Data 360 ARR approached $3.9 billion, up 210%. Agentforce ARR exceeded $1.
Software Strikes Back: Salesforce and CrowdStrike Jump 20% as AI Turns Into a Revenue Engine
TOPShyon: I think the biggest change in the software narrative is that AI is no longer automatically viewed as a threat. Salesforce and CrowdStrike are showing that companies with proprietary data and deeply embedded workflows can monetize AI and potentially increase the value of their platforms. Personally, I’m most interested in Salesforce & $ServiceNow(NOW)$ because their AI agents are being integrated into enterprise workflows, creating opportunities to charge for agents, tasks and usage instead of just user seats. Microsoft remains a strong contender, but the key is whether AI translates into higher contract values and recurring cash flow. For me, the next few quarters will be critical. I wouldn’t chase these stocks simply because they jumped after earnings; I want to see sustained AI adoption, improving margins and free cash flow. If those improve, quality SaaS companies could increasingly be viewed as AI beneficiaries rather than victims. @Tiger_comments @TigerClub @TigerStars
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JC888
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08-28

INTC - Time to Invest again ?

On Mon, 10 Aug 2026 comeback kid $Intel(INTC)$ made the headlines again when it announced a $15 billion common stock offering to support skyrocketing customer AI demand. (see below) Even before US trading begins, early on Tue, 11 Aug 2026, the chip maker confirmed, it had priced the stock offering at $95 a share and upsized the offer by additional $5 billion to $20 billion. (see above) Here’s the thing - INTC’s $20 billion equity raise is more than a routine financing exercise: It is a calculated attempt to convert INTC’s powerful share-price recovery into the factory capacity needed to compete in AI infrastructure and 3rd-party chip manufacturing. The immediate sell-off reflects dilution anxiety, but the deeper question is whether the offering: S
INTC - Time to Invest again ?
TOPblinky: I lean yes — the raise was necessary. The real test is whether they can turn external wafer interest into sticky volume and keep fab utilization high enough to show real FCF
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Tiger_Futures Pro
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08-27

Weekly Valuation Watch:The US Equity Rally Faces a Test? Diverging Flows and Uneven M7 Valuations

This week sits at a key macro inflection point for US equities: the US is set to release important macro data including GDP and PCE, while the Jackson Hole Global Central Bank Symposium will be held over the weekend, where Fed Chair Kevin Warsh’s remarks could provide new guidance for rate expectations. Against this backdrop, Nvidia, a core name in the AI supply chain, will report earnings after the close on Wednesday; its results and guidance will directly test whether elevated capital expenditure can continue to translate into orders and profitability. The confluence of macro data, central bank commentary, and tech leadership earnings makes this week a critical checkpoint for whether the “AI narrative” can continue to support rich valuations. The core issue this week is not the direction
Weekly Valuation Watch:The US Equity Rally Faces a Test? Diverging Flows and Uneven M7 Valuations
TOPbreezyk: For Nvidia, I care less about revenue and more about whether free cash flow is actually keeping up with capex. If that slips, the valuation debate gets way tougher.
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PeterDiCarlo
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08-28

$NVDA Leads the AI Rally While $COIN, $HOOD and $NBIS Reach Key Levels

Hey Tigers 👋 A lot is happening across the market right now, so here are the key levels and setups I’m watching most closely. 📊 🚀 $NVIDIA(NVDA)$ $NVDA delivered a strong earnings report and absolutely ripped higher. The stock is now up roughly 7.5%, which means I may not get the $190 buy zone I was waiting for. That’s okay. Price is now testing an important level, and my bearish smart-money zone remains in play. For bulls to make a serious push toward new all-time highs, I want to see this level swept and then held. That would give me much more confidence in a sustained breakout. 🔥 Respect to everyone who stayed long through this move. 🟢 $Coinbase Global, Inc.(COIN)$ $COIN is getting close to my short-ter
$NVDA Leads the AI Rally While $COIN, $HOOD and $NBIS Reach Key Levels
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Michael Esther
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08-28

AI Trade Playbook Through 2035 🤖📈

Whether you’re up $192, $1,920, or $193,000 like me, the playbook stays the same. These are the AI names with the strongest long-term setups right now: 🔥 $NVIDIA(NVDA)$ — The core compute play. AI models depend on its silicon, while demand for accelerated computing keeps compounding. ⚡ $Broadcom(AVGO)$ — Custom AI chips + networking. Hyperscalers need both to build increasingly massive AI clusters. ☁️ $Microsoft(MSFT)$ — Azure turns AI demand into recurring enterprise revenue, backed by a software distribution network few can match. 🏛️ $Palantir Technologies Inc.(PLTR)$ — The deployment layer, turning AI capabilities int
AI Trade Playbook Through 2035 🤖📈
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DavidMarlin
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08-28

$1.3T Just Got Pulled Forward

🔥 The most important number from tonight’s $NVIDIA(NVDA)$ earnings call wasn’t revenue. It was CapEx. CFO Colette Kress said top-five hyperscaler CapEx could hit nearly $800B in 2026 and $1.3T in 2027. That’s the key takeaway. The market had been looking for $1.3T in 2028. Nvidia just pulled that level forward to 2027. In other words, the AI infrastructure spending cycle isn’t slowing down. It’s accelerating. And that has a much broader read-through: 🔹 $Philadelphia Semiconductor Index(SOX)$ — the semiconductor complex 🔹 $Micron Technology(MU)$ — memory and HBM 🔹 $Lumentum(LITE)$ — optical connectivity 🔹
$1.3T Just Got Pulled Forward
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SmartReversals
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08-28

NVDA Surges 8.7% After Earnings Beat as SPX Faces 7,729 Resistance

$NVIDIA(NVDA)$ rallied strongly. The earnings report beat expectations and pushed the price up +8.7%, driven by a morning move that left a consolidation/indecision for the afternoon. Interestingly, $Micron Technology(MU)$ closed slightly in the red at -0.3% and $Advanced Micro Devices(AMD)$ at -0.9%, failing to participate in the rally, while $Broadcom(AVGO)$ and $Texas Instruments(TXN)$ did so with +4.4% and +1.8% respectively. The $S&P 500(.SPX)$ gained traction, recovering its central weekly level while facing resistance at the month
NVDA Surges 8.7% After Earnings Beat as SPX Faces 7,729 Resistance
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