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11:22
🤖 AI Compute Enters Its Next Phase: Why Delivery Matters as Much as Chips
The AI infrastructure race is moving beyond a simple question: Who can secure the most GPUs? Anthropic's latest infrastructure disclosures suggest that the next bottleneck may be turning those chips into fully deployed, reliable compute capacity. The AI model developer could commit as much as $84.5 billion through 2029 for $NVIDIA(NVDA)$-based compute capacity supplied by $SpaceX(SPCX)$, according to reporting based on its latest IPO filing. That compares with roughly $45 billion of potential value previously disclosed in May. The scale of the agreement highlights how aggressively leading AI companies are securing computing resources — and how the opportunity is expanding f
TOP吉3186: my view This article shows that the AI race is no longer just about GPUs. NVIDIA may benefit from selling GPUs, networking and complete AI systems. Data centers, power, cooling and HBM memory could become major bottlenecks. Compute leasing could become a large business because AI companies may prefer renting computing power instead of building everything themselves. The $84.5B figure is potential contract value, not guaranteed revenue. Actual spending depends on deployment and usage. The biggest question is ROI: Can companies turn huge AI infrastructure spending into real revenue and profits? For investors, I would watch AI revenue growth, utilization, free cash flow and profit margins, not just the number of GPUs ordered. Bottom line: The AI opportunity is expanding from “who makes the chips?” to “who can turn chips into profitable computing capacity?”
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10:08
[Events] 3 Months Left in 2026. Have You Hit Your Investing Goals? 🎯
October is here, and there are just three months left in 2026! Remember the investing goals you set at the start of the year? Maybe you wanted to grow your portfolio by 20%, hit your first $100K, or simply become a more confident investor. So, how's it going? Some of you may have already hit your targets and are now looking to protect your gains. Others may still be working towards their goals, hoping to finish the year strong. With three months left in the year, it's time to check in on your investing goals! 🎯 How to Participate Share this post and tell us in the comments: Have you hit your 2026 investing goals, or are you still chasing them? Feel free to share your portfolio performance, biggest investing lesson, or what you're hoping to achieve before the year ends. 🎁 Rewards We'll sele
TOPI’m still working towards my 2026 investing goals, but I’m happy with the progress so far. 📈 My biggest lesson this year has been that consistency matters more than trying to predict every market move. Instead of chasing whatever is performing well, I’ve been focusing on regular investing, broad diversification and keeping enough cash on the sidelines for my other financial goals. I’ve also become much more conscious of fees, FX costs and fund structure. Small differences may not seem important today, but over 10–20 years, they can add up. For the rest of 2026, my goal is simple: keep investing consistently, avoid making emotional decisions when markets become volatile, and continue building a portfolio that I’m comfortable holding for the long term. There will always be another rally, correction or exciting stock. The harder part is sticking to the plan. 💪📊
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09:41
$SPX FAKE BULLISH REVERSAL. The Sell Signal Is Still Active
🚨 $S&P 500(.SPX)$ FAKE BULLISH REVERSAL The sell signal TRIGGERED. $SPX pushed lower, then recovered sharply into the close. That rebound looks more like a setup for a short than a confirmed reversal. 👀 I’m watching for the short setup tomorrow. If sellers step back in, the rally could get SOLD. 🎯 Key downside levels: → 7,600 | $SPY 758 next → 7,500 | $SPY 747 if it flushes The key question now: does tomorrow’s bounce attract buyers, or does it become another opportunity for sellers? ⚠️ Markets are always moving - and sometimes, the best move is knowing what works for you. With Treasury yields, oil prices and rate expectations keeping markets on edge this week, investors are once again thinking carefully about where to position next. There’s n
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09:49
$AVGO Is Nearly 30% Below Its High. I’m Watching This Setup
🚨 $Broadcom(AVGO)$ IS NEARLY 30% BELOW ITS $495 HIGH. Meanwhile, Broadcom just delivered: 📈 Revenue growth: +86% YoY 📈 Adjusted EPS growth: +96% YoY 🔥 AI semiconductor revenue: +221% YoY And management expects AI revenue growth of 236% next quarter. That’s why this pullback has my attention. 👀 🎯 The setup I’m watching $AVGO is around $347 on this chart. A move back to the previous $495 high would represent roughly 43% upside from here. Key levels: 🟢 $330–345 → Buyers need to defend 🔑 $360–365 → Reclaim would strengthen the setup 🚀 $400 → First upside level 🚀 $430 → Next target 🎯 $495 → Previous high ⚠️ I don’t want to chase the first bounce. I want to see price confirm the reversal before taking the swing. If $330–345 fails, the setup weakens. St
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09:18
$DELL Has a Bad Swing-Trade Setup Here
Looking back, the only decent swing entry on $Dell Technologies Inc.(DELL)$ was the immediate post-earnings move on September 2. But even that setup had a catch. ⚠️ The first move could have been an intraday stop-loss attempt, requiring a second entry on a very expanded range. And after holding for roughly a month, the setup offered less than 2R — even with the stop based on the opening price instead of the low of the day. That’s the problem. 📉 Expanded range + limited upside = poor R For a swing trader, I don’t think entering $DELL after such an expanded move makes much sense. Why tie up capital for a month when the potential reward is so small relative to the risk? That’s very different from position trading. If you’re building a long-term posit
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10-01 21:29
Good News Still Needs Follow-Through My takeaway from Wednesday's session is that a reassuring headline is not enough. Cooler inflation gave the market a reason to rally, but buyers struggled to hold the move. I care more about that reaction than the story I wanted the market to tell. These are my risk-review and watchlist plans for the next session, not a report of orders placed or trades completed. The contrast between the indices and the broader market keeps me cautious. Technology offered some support, yet participation elsewhere remained weak. Rising longer-term bond yields added another complication. I do not need to settle the whole macroeconomic debate before managing a trade; I need to notice when the conditions around it are becoming less forgiving. EMBJ is the first holding I wa
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02:59
🚀 Rocket Lab — 100+ MISSIONS AND COUNTING
$Rocket Lab USA, Inc.(RKLB)$ just gave investors another reason to watch the space sector. The company has signed its largest-ever commercial Electron launch contract: 20 additional missions for Japanese Earth-observation company Synspective, scheduled between 2028 and 2031. The deal brings Synspective’s total contracted Electron missions to 47 and pushes Rocket Lab’s overall launch backlog above 100 missions.  That’s the part I find interesting. Space stocks are often valued on what they might accomplish years from now. Rocket Lab is increasingly showing actual commercial demand today. The company isn’t just launching rockets. It is building a broader space business covering launch services, satellites, components and national-s
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03:21
🔥 ACCENTURE JUST FLIPPED THE AI NARRATIVE
$Accenture PLC(ACN)$ is my Stock of the Day to watch after a surprisingly strong earnings reaction. The interesting part isn’t simply that earnings beat expectations. It’s what the results say about the debate around AI and the future of consulting and technology services. For a while, one of the big questions around companies like Accenture has been pretty straightforward: If AI can automate more work, won’t businesses eventually need fewer consultants and technology professionals? Yesterday’s results offered a different data point. Accenture reported Q4 revenue of $18.68 billion, above expectations, while adjusted EPS came in at $3.29. The company also reported $22.17 billion in quarterly bookings and a record $84.5 billion of bookings
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03:28
💰BROADCOM ISN’T JUST SELLING CHIPS TO ANTHROPIC
This Broadcom–Anthropic deal caught my attention because it goes much further than a normal chip-supply agreement. $Broadcom(AVGO)$ has agreed to provide Anthropic with up to $42 billion in financing to help fund its infrastructure spending, according to Anthropic’s IPO filing. At the same time, Broadcom is involved in supplying the hardware and leasing equipment to Anthropic. And there is another important piece: Anthropic is expected to become Broadcom’s largest custom-chip customer in 2027. So Broadcom isn’t simply selling the picks and shovels for the AI buildout. It’s potentially helping finance the customer buying those picks and shovels. That’s a fascinating structure. Anthropic has committed to $125.2 billion of TPU comput
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08:42
$SpaceX(SPCX)$ 🚀 is known for rockets, Starlink and the ambition to reach Mars. But the part of the business catching my attention right now is much closer to Earth: AI compute. Anthropic’s IPO filing has revealed that its agreements with SpaceX could be worth as much as $84.5 billion through 2029, for access to Nvidia-based computing capacity. That is almost double the roughly $45 billion figure previously disclosed by SpaceX.  The important word here is “could.” These agreements can generally be cancelled with 90 days’ notice, so I wouldn’t treat the full $84.5 billion as guaranteed revenue. But the size of the potential commitment still says something important. AI companies are desperate for compute. Anthropic expects to spend at least $518 b
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01:15
$INTC 20270115 125.0 CALL$ Decided to close this long call as we are in October and midterm coming soon. Better take profit and wait for the pullback this month October
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07:24
$Microsoft(MSFT)$ Celebrating small wins! Microsoft is currently dominated by AI monetization progress (Copilot seats, E7 tier, usage-based pricing) and a cleaner Azure reporting structure, while the stock sits at ~$512.8 (2026-10-02) — about 7.4% below its 52-week high and in the 80th percentile of its 52-week range. Fundamentals remain strong on profitability (ROE ~34%, net margin ~39.7%) and revenue growth (~17.8%), but the key tension is capital intensity: free-cash-flow growth has turned sharply negative while the forward P/E has compressed to ~25.8x versus a ~30.8x historical average — a cheaper multiple that partly reflects that spending pressure.
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05:09
$Western Digital (WDC) Rebounds +1.78%: Storage Giant Holds $440 Support, Poised to Reclaim $528 ...
📊 Market Recap As of October 2, 2026 (ET), 'WDC' closed at $462.56, up +1.78% (+$8.10). The stock traded in a range of $440.05 – $463.55, recovering sharply from intraday lows. The close remains approximately 42.2% below its 52-week high of $799.87, but is showing renewed upward momentum after a prolonged consolidation phase. 🚀 Key Drivers AI Storage Cycle: Sustained demand for high-capacity HDDs driven by AI data center buildouts continues to support 'WDC' fundamentals, keeping market sentiment cautiously bullish. Capital Inflow Resurgence: Five-day capital flow data shows two consecutive sessions of net inflows (Sept 29: +$17.69M; Sept 30: +$16.04M), signaling renewed institutional accumulation interest. Valuation Re-rating Potential: With a TTM P/E of just 19.05 and robust EPS growth of
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05:08
$SPDR Gold Shares (GLD) Rose +0.50% to $382.76: Safe-Haven Momentum Builds as Gold ETF Eyes $407 ...
📊 Market Recap As of October 2, 2026, 'GLD' closed at $382.76, gaining +0.50% on the day. The ETF traded in a tight range between $380.36 and $383.70, reflecting a modest recovery from recent selling pressure. The closing price remains approximately 24.9% below its 52-week high of $509.70, while standing about 8.9% above its 52-week low of $351.40. The recent performance suggests a stabilization attempt near the $380 level after a period of weakness. Trading volume of 5.81 million shares was relatively subdued, with a volume ratio of 0.65, indicating limited conviction behind the rebound. In after-hours trading, 'GLD' edged up to $382.89, reinforcing short-term support around the $380-$383 zone. 🚀 Key Drivers Gold Sector Momentum: Positive developments in gold mining stocks, including high
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05:01
$Tesla (TSLA) Slips -0.20% to $354.11: Support Near $334, Breakout Potential Toward $396 Resistance
📊 Market Recap As of October 2, 2026, 'TSLA' closed at $354.11, down -0.20% for the day with an intraday range of $353.80 to $359.79. The stock remains roughly 29% below its 52-week high of $498.83 and about 19% above its 52-week low of $297.38, reflecting a broad consolidation phase after the previous uptrend lost momentum. 🚀 Key Drivers Tesla–SpaceX speculation: Tesla adjusted its voting mechanism, fueling renewed market discussion about a potential Tesla–SpaceX merger, although both companies have not confirmed any deal. Capital outflow pressure: Five-day capital flow data shows persistent net outflows, with September 30 recording the largest single-day net outflow of approximately 86.61 million, suggesting short-term institutional caution. Analyst sentiment divergence: The average anal
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00:51
🇨🇳 Tencent’s $7B AI Chip Deal: Is China Finding a New Route to Advanced Compute?
China’s AI companies face a major challenge: they need increasingly powerful computing infrastructure at a time when access to advanced AI chips is becoming more restricted. $TENCENT(00700)$ may have found another route. According to the Financial Times, $TENCENT(00700)$ has agreed to a five-year deal worth roughly $7 billion with $Oracle(ORCL)$, giving it access to around 100,000 advanced AI chips housed in Oracle data centers across Southeast Asia. About 30% of the contract is reportedly being paid upfront. Reuters said it could not independently verify the report, and neither company had commented when its repo
TOPUS ban direct sales of top-tier AI accelerators (eg Nvidia's H100/B200 series) to mainland China. By leasing, Tencent legally accesses compute power hosted outside China’s sovereign borders. It provides the raw compute needed to train and deploy advanced large language models (Hunyuan LLM suite) and scale AI features across WeChat, gaming, and enterprise ad engines without relying solely on domestic chips. This weighs on Tencent's short-term free cash flow margins but locks in critical high-performance compute capacity for five years. Oracle Cloud Infrastructure has positioned itself as an agile, cost-effective alternative to hyperscalers like AWS, Microsoft Azure, and Google Cloud Platform for AI workloads. Landing a $7 billion, multi-year contract with ~30% upfront cash commitments significantly validates OCI's multi-cloud expansion. It diversifies Oracle's customer concentration away from US-centric AI startups (such as OpenAI) while boosting OCI revenue visibility.
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10-01 07:57
$MU Earnings: The Numbers Are Huge. The Real Story Is Supply.
$Micron Technology(MU)$ just delivered another record quarter — but the most interesting part of the report may not be the headline EPS beat. Micron reported $54.23 billion in fiscal Q4 revenue, up from $41.46 billion in the previous quarter and $11.32 billion a year ago. Non-GAAP EPS came in at $33.42, while non-GAAP gross margin reached 87.0%.  Those are extraordinary numbers. But then Micron raised the bar again. For fiscal Q1 2027, the company is guiding for $61.5 billion ± $1.5 billion in revenue and $38.15 ± $1.00 in non-GAAP EPS, with non-GAAP gross margin expected around 86.25%.  The bigger takeaway is what this says about the memory market. Memory is becoming a bottleneck AI infrastructure isn’t only about GPUs. Every new
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10-01 08:01
STOCK OF THE DAY: $CLS — THE AI TRADE BEYOND THE CHIPS
Everyone is watching Nvidia. Then came the memory trade. Now another part of the AI infrastructure chain is starting to get attention: Networking. $Celestica(CLS)$ — sits in a part of the market that doesn’t get nearly as much attention as GPUs or HBM, but increasingly matters as AI data centres scale. The problem is simple: More AI = more data moving between servers. And eventually, computing power isn’t the only bottleneck. Bandwidth becomes the bottleneck. Fresh analyst coverage is highlighting this exact theme, with networking and optical hardware increasingly viewed as critical infrastructure for next-generation AI systems. Celestica is also being linked to programs involving Alphabet’s custom TPUs, OpenAI’s next-generation ch
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10-01 08:03
STOCK OF THE DAY | $GME — THE CEO IS BUYING AGAIN
$GameStop(GME)$ is back on my radar — and this time, it’s not just because of the meme-stock history. The interesting part is what’s happening behind the ticker. CEO Ryan Cohen just bought another 450,000 GameStop shares for about US$10.6 million on the open market, at an average price around $23.48. That came after additional large purchases earlier in September.  That makes the insider activity hard to ignore. Cohen now beneficially owns roughly 8.8% of GameStop, including warrants.  What makes GME interesting to me isn’t simply “CEO buying = stock goes up.” It’s the size and frequency of the purchases. The market has seen plenty of insider transactions, but repeatedly putting tens of millions of personal capital into the same compan
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10-01 08:08
$SPCX — THE $12 TRILLION MOONSHOT?
$900 a share. A $12.2 trillion valuation. That’s the number Citi is putting on the table for $SpaceX(SPCX)$ if its long-term Starship and space-infrastructure vision plays out. Sounds crazy? Maybe. But the interesting part is what has to happen for SpaceX to get there. Starship’s latest flight marked another important step. The massive rocket reached orbit and deployed 26 Starlink V3 satellites, giving SpaceX another demonstration of how Starship could eventually support a much larger space-based network. And that’s where the valuation story gets bigger than rockets. Citi’s thesis is essentially that SpaceX could become a platform for several huge businesses: 🚀 Reusable launch infrastructure 📡 A much larger Starlink network 🤖 AI infrastructur