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10-03 08:55
3 Big Watches: $AMD, $AAPL, $NVDA
🔥 3 BIG WATCHES FOR THE NEXT MOVE I’m watching three very different setups: 1️⃣ $Advanced Micro Devices(AMD)$ — Continuation Setup Double hammer candles on the daily chart. 🔨🔨 If the continuation confirms, I’m watching: 🎯 $635 → $640 Calls are the trade I’m watching here. $AMD closed at $633.91 on Oct. 2, putting those levels directly in focus. 2️⃣ $Apple(AAPL)$ — Bottom Confirmation $AAPL had a big reversal yesterday. Now I’m watching for confirmation that the bottom is in. 🔑 $325 is the level. If price can hold/reclaim that area, I’m watching for the upside move. 📈 Calls are on my radar. $AAPL closed at $333.69 on Oct. 2, above that $325 level. 3️⃣ $NVIDIA(NVDA)$
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10-03 09:06
$TSLA Reclaims $350, $ON Hits +30%, $NVDA Nears Target
Here’s what I’m watching across the board 👇 🚀 $Tesla Motors(TSLA)$ — Bulls Reclaim $350 Bulls reclaimed $350 support, keeping the bullish structure intact. Well done to anyone who held through the pullback. $380 is the next major resistance that needs to be taken out. 📈 $ON Semiconductor(ON)$ — +30% Since My Trade $ON is now up +30% since I made the video going over my trade. I’m still bullish over the next 6–12 months, but I’m anticipating a rejection around $85 → $90. If we reject there and pull back to test a higher low, I’ll look to re-enter. ✅ 🎯 $NVIDIA(NVDA)$ — +12% From Smart Money Zone $NVDA is now up over 12% since hitting the Smart Money Zone and is appro
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10-03 08:47
$AMD Hammer Candle Before the Reversal
🔨 FIND THIS $Advanced Micro Devices(AMD)$ HAMMER CANDLE ON THE DAILY CHART. This is what $AMD looked like before the reversal. Scary, right? 👀 But here’s the key: The hammer itself isn’t the buy signal. The confirmation is. 🎯 The setup 1️⃣ Wait for confirmation The next day, let price break above the hammer’s high. 2️⃣ Enter on strength Don’t anticipate the reversal.Let buyers prove they’re taking control. 3️⃣ Define the risk Place your stop below the hammer’s low. If that level breaks, the setup failed. 4️⃣ Target the bounce Look for the next major resistance level or roughly 2–3R. 5️⃣ Follow the plan ❌ Don’t chase ❌ Don’t average down ❌ Don’t turn a reversal trade into a long-term hold 💡 The $AMD hammer tells you where buyers showed up. The con
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10-03 08:44
$TSLA Deliveries Beat. Here’s the Gamma Squeeze Setup
$Tesla Motors(TSLA)$ Q3 DELIVERIES BEAT EXPECTATIONS Tesla delivered 486,532 vehicles in Q3, well above estimates around 463K–464K. Production came in at 464,391. That delivery beat is already getting attention, with $TSLA shares jumping roughly 5% after the report. 📊 The key numbers 🚗 Q3 deliveries: 486,532 🏭 Q3 production: 464,391 📈 Est. deliveries: ~463,761 🔋 Energy storage deployments: 13.7 GWh Deliveries were down roughly 2% YoY from 497,099, but improved from 480,126 in Q2. Model 3 and Model Y accounted for 98% of deliveries. 🎯 Here’s my gamma squeeze setup The level I’m watching is: $359.79 — previous day high If $TSLA can hold above $359.79 or reclaim it, I’ll be watching: 🔥 Oct. 2 $360–$365 calls for a potential move toward $365+. No chas
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10-03 08:40
$SPX Hammer Candle Is Signaling a Bounce
👀 $S&P 500(.SPX)$ is showing a potential bounce setup. The hammer candle bounced directly off the 50-day moving average, which suggests buyers are stepping in at an important level. But the setup has a clear line in the sand: 🔑 $7,656 must hold today. More importantly… 🚀 A move above $7,690 would break the bearish diagonal trendline and give the bounce a stronger technical confirmation. So I’m watching two levels: $7,656 → support$7,690 → bullish trigger One more gap up for the books. 📈 And yes… I expect this gap to get filled eventually. 👀 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 thi
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10-03 08:34
$SPX Held the Range as Yields Finally Reversed
The stock market experienced choppy, indecisive price action in the $S&P 500(.SPX)$ and $E-mini S&P 500 - main 2612(ESmain)$ struggled under the weight of surging bond yields. For most of the week, the 10-year Treasury yield surged as high as 5.35% early Thursday to set a fresh 24 year high, while the 30-year yield touched 5.62%, the highest level since 2002. This bond sell-off was fueled by a combination of fears that a resilient economy would keep interest rates higher for longer and escalating conflict involving Iran. Mid-week data kept investors on edge by presenting a mixed economic picture. The August Personal Consumption Expenditures (PCE) price index showed cooling inflationary pressur
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10-03 05:10
$Nike (NKE) Sinks -3.64% to 13-Year Low: Q1 Revenue Miss and Weak Guidance Trigger Breakdown, $31...
📊 Market Recap 'NKE' closed at $33.87 on October 3, down -3.64%, just above its new 52-week low of $31.97. The stock has fallen about 56% from its 52-week high of $76.97, trading at levels not seen since 2013 as weak quarterly results crushed investor confidence. 🚀 Key Drivers Q1 Revenue Miss: Nike reported fiscal Q1 revenue of $11.21 billion, down 4% year-over-year and below the consensus estimate of $11.33 billion. Weak Full-Year Guidance: Management projected a high-single-digit revenue decline for fiscal 2027, with supply chain pressures expected to persist through 2028. Market-wide Risk-Off: Disappointing non-farm payroll data amplified concerns over consumer spending, adding further pressure to already battered retail stocks. 🎯 Price Outlook Short-Term Upside/Downside Probability Dir
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10-03 05:07
$Alibaba (BABA) Drops -1.49%: Oversold RSI Nears Rebound Zone, $99 Support Under Scrutiny
📊 Market Recap As of the US Eastern close on October 2, 'BABA' settled at $105.85, down -1.49% for the session. The stock remains well below its 52-week high of $192.67, trading approximately 45% off that peak, though it still holds above its 52-week low of $91.99. The latest session's range of $105.00 to $106.98 reflects a tightening consolidation phase as selling pressure moderates near short-term support. 🚀 Key Drivers Macro Risk Sentiment: Broader US equities opened higher, driven by AI leaders, yet a sharply weaker-than-expected September nonfarm payrolls report kept investors cautious, weighing on Chinese ADRs like 'BABA'. Capital Outflow Pressure: Latest one-day fund flow data shows total outflow of $270 million versus inflow of $249 million, with large orders selling $36.25 million
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10-03 05:06
$ARM Holdings(ARM) Soars +5.18% to $307.49: AI Chip Momentum Reignites, Targeting $318 Breakout
📊 Market Recap As of the October 3, 2026 session, 'ARM' closed at $307.49, surging +5.18% with an intraday amplitude of 5.21%. The stock remains approximately 32% below its 52-week high of $452.70, but the powerful upside move signals renewed institutional accumulation in the AI semiconductor complex. 🚀 Key Drivers AI Infrastructure Momentum: Nvidia's record high and massive $150 billion buyback expansion reignited enthusiasm across the AI chip supply chain, directly lifting ARM's valuation as a core IP licensor. Macro Tailwind: September non-farm payrolls came in far below expectations (29K vs 90K forecast), prompting traders to reduce Fed rate-hike bets and fueling a broad rally in high-beta growth and technology names. Technical Breakout: ARM cleared the $303 intraday consolidation zone
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10-03 05:06
$Circle Internet Corp.(CRCL) Slips -2.00% After Volatile Session: Stabilcoin Leader Tests $80 Sup...
📊 Market Recap 'CRCL' closed at $81.25 on October 3, 2026, down -2.00% from the previous session. The stock traded in a wide range of $80.14 to $88.40, with amplitude reaching 9.96%. Closing price now sits 49% below its 52-week high of $159.47, while holding roughly 63% above its 52-week low of $49.90. 🚀 Key Drivers Profit-taking pressure: After a strong pre-market push to $85.82, sellers dominated the regular session, dragging price back toward the $80 psychological zone. Short-volume normalization: Latest short volume ratio stood at 20.34%, well above the 30-day average, indicating sustained bearish positioning near resistance. Macro tailwind fading: Nasdaq touched new highs led by Nvidia, but non-farm payrolls missed sharply, curbing risk appetite for high-beta fintech names like 'CRCL'
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10-03 05:04
$Applied Optoelectronics (AAOI) Soars +7.71% to $115.59: AI Optics Play Breaks Out, $118.49 Resis...
📊 Market Recap As of the latest U.S. session, 'AAOI' closed at $115.59, surging +7.71% with a gain of $8.27. The stock remains about 50.5% below its 52-week high of $233.67, reflecting a powerful rebound from the $18.50 low. Intraday amplitude reached 10.60%, with a turnover rate of 13.01%, signaling aggressive rotation and renewed momentum. 🚀 Key Drivers AI Infrastructure Sentiment: Renewed strength in AI optics and datacenter connectivity names is lifting high-beta plays, with 'AAOI' benefiting from strong sector-wide buying pressure. Momentum and Volume Expansion: Volume surged to 11.01 million shares with a volume ratio of 1.44, indicating accumulation rather than a low-confidence bounce. Macro Risk Appetite: Broader tech strength and accommodative rate expectations are supporting spec
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10-03 05:03
$NEBIUS (NBIS) Surges +4.53% Past Resistance: AI Cloud Momentum Builds Toward $260
📊 Market Recap As of the latest session, 'NBIS' closed at $242.81, up +4.53% with a daily gain of $10.53. The stock traded in a range of $235.34 to $248.34, showing renewed buying interest. It now sits about 19% below its 52-week high of $299.86, while extending sharply above its 52-week low of $73.52. The move confirms a breakout above the short-term resistance zone near $243.45, supported by improved AI infrastructure sentiment and a broader rally in AI cloud names. 🚀 Key Drivers AI Cloud Repricing: 'Nebius' announced higher on-demand service rates for certain GPU, CPU and memory resources effective Oct. 1, with Nvidia B300 pricing rising about 21% to $9.50 per GPU-hour, boosting revenue expectations. AI Infrastructure Sentiment: Nvidia hit a fresh record high and regained a $5.7 trillio
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10-02 22:09
All In
The title is my attitude toward the Q4 market — more precisely, through Anthropic's IPO. Q4 has three major tailwinds. First, Anthropic has tentatively finalized its IPO date. It's reportedly planning a large-scale IPO before the Thanksgiving holiday (around November 26), and could begin IPO marketing as early as the week of November 9. It plans to target a valuation between $1.8 trillion and $2 trillion. As everyone knows, a blockbuster company going public means the market atmosphere has to be heated up — the market must rise. Second, historical data: since 1930, the S&P 500 has averaged a 5.6% gain in Q4 of midterm election years — twice the average gain of other years. Third, tonight's nonfarm payrolls. Only 29,000 jobs added — it made me laugh. Rate-hike odds immediately dropped.
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10-02 21:27
10/2 Strategy Outlook | Nonfarm Blew Up, Market Blew Up Too.
① What's Happening Today Core Theme: Nonfarm payrolls came in below expectations, rate-cut trade heats up; AI capex is still expanding, but capital is starting to diverge. Jobs Cooling: U.S. September nonfarm payrolls added only 29,000 jobs, far below the expected 90,000; July and August data were revised down by a combined 60,000. Traders trimmed bets on an October rate hike, and U.S. equity futures rallied afterward. Short-term focus on reactions in bonds, financials, and tech. AI Financing and Compute: A Broadcom-led syndicate reportedly raised up to $60 billion in financing to support AI infrastructure demand from companies like Anthropic. NVDA rose on optimistic roadshow interpretations, but AVGO fell — showing that AI demand growth and financing costs remain two separate trading thre
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10-02 20:06
💰 Can GPUs Become Financial Assets? Inside NVIDIA’s $500B AI Financing Bet
$NVIDIA(NVDA)$’s GPUs already power much of the AI boom. Now the company wants Wall Street to view them differently: not simply as technology hardware, but as productive assets that can help support billions of dollars of debt. NVIDIA is working with major financial institutions on an initiative aimed at enabling as much as $500 billion of AI infrastructure financing. The broader idea is to bring institutional capital into AI data centers and make NVIDIA-powered computing infrastructure more financeable. That creates a new question for investors: Can an expensive GPU become collateral — and will it hold enough value for Wall Street to lend against it? 🏗️ Why Does NVIDIA Need Wall Street? The AI boom is becoming extraordinarily capi
TOPKentzw: B — Hyperscaler AI capex. The biggest question for me is whether spending keeps accelerating or starts getting more selective. That could have a major ripple effect across GPUs, networking, data centres and the wider AI supply chain.
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10-02 20:29
Micron's Record Quarter: Memory's Structural Rerating — But the Clock Is Ticking on AI's Upcycle
$54.2B in revenue, 87% gross margins, and $60-63B Q1 guidance. $Micron Technology(MU)$'s blowout quarter confirms AI memory demand is accelerating — but a muted post-earnings reaction and shifting HBM market share have traders asking: is the easy money already priced in? Hey Tigers 🐯 — if you thought the AI memory trade was getting long in the tooth, Micron just served up a quarter that says otherwise. Revenue nearly quadrupled year-over-year. Margins hit levels you'd expect from a software company, not a chipmaker. And next quarter's guidance? Even higher. But here's what the market actually cared about: the stock barely moved after hours — up just 0.03%. Compare that to last quarter's 13%+ after-hours surge. High expectations meet
TOPI’d watch A: HBM demand and AI data-center spending most closely. Micron’s Q4 results—$54.23B revenue, 87% non-GAAP gross margin, and Q1 guidance of about $61.5B—show that demand remains exceptionally strong. Management also expects HBM demand to grow faster than conventional DRAM through 2028, with much of next year’s HBM supply already committed. Inventory is important, but the recent increase appears partly related to end-of-life inventory build-ahead and higher manufacturing costs, with management expecting inventory days to decline. Market share will affect margins and valuation, but sustained AI infrastructure spending is the bigger driver of the entire memory upcycle. If hyperscaler capex or GPU deployments slow, even strong HBM share gains may not prevent a cyclical correction.
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10-02 10:11
$Wilmar Intl(F34.SI)$ saw a truck with Wilmar logo at Woodland
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10-02 13:28
$NU 20261002 12.5 PUT$ probably expired worthless .... Unless there are some freak news :)
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10-02 12:26
SoFi - Growth, Risk and Next phase. Buy?
I hate to admit it but one of my favourites - $SoFi Technologies Inc.(SOFI)$ shares have had a dreadful 2026, so far. As of 01 Oct 2026 intraday, the online bank's stock is trading down -42.92% YTD and are -50% off its peak. (see below) As of 01 Oct 2026 intraday This downturn occurred despite the business has performed well. If you have had your eye on SoFi as a long-term investment (like me), it is worth taking a closer look. Below is one reason why there is never a better time to own this fintech stock. It's all about growth. The most exciting part of SoFi is its impressive growth. Its numbers resemble an early-stage technology business more than a bank. Adjusted net revenue rose by +41% YoY in Q2 2026, with adjusted net income up +65%. SoFi's
TOPNice Sharing 😁 @Shyon @DiAngel @Aqa @Barcode @koolgal @Shernice軒嬣 2000
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10-02 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
TOPmy 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?”