$Accenture PLC(ACN)$ 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
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
$SpaceX(SPCX)$ 🚀 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
$INTC 20270115 125.0 CALL$ 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
$Microsoft(MSFT)$ 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.
$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
$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
$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
🇨🇳 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
$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
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
$GameStop(GME)$ 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
$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
📈 THE INVESTING SKILL NOBODY TALKS ABOUT ENOUGH: DOING NOTHING
Markets make it incredibly easy to feel like you should always be doing something. Buy the dip. Sell the rally. Rotate into the next hot sector. Catch the breakout. Move into cash before the next correction. Then repeat. But sometimes the hardest decision an investor can make is doing absolutely nothing. A stock falls 5% and suddenly the thesis feels broken. A stock rises 20% and suddenly it feels like you’re missing out. The market hits a new high and investors start looking for the next crash. The market falls sharply and everyone starts talking about recession. Noise creates urgency — and urgency can lead to decisions that weren’t part of the original plan. One thing I’ve been thinking about lately is the difference between price movement and fundamental change. A stock falling doesn’t
The AI boom needs something that doesn’t get nearly as much attention as GPUs: Electricity. Lots of it. $Amazon.com(AMZN)$ just signed a 20-year power agreement with $Constellation Energy Corp(CEG)$ that could help expand the Calvert Cliffs nuclear plant in Maryland. And this isn’t just another corporate electricity contract. Amazon will support more than $3 billion of investment at the facility, including improvements across the existing 1,790 MW plant and approximately 190 MW of additional generating capacity expected to come online between 2030 and 2032.  The agreement covers 690 MW of power, including the new capacity. Why does this matter? Because the biggest bottleneck in the n
$Advanced Micro Devices(AMD)$ $AMD Passed Every Chart Test I Have. I Still Can't Sell a Put on It. I've run my sell-put checklist on a lot of names this year. Most fail on the chart. Boeing and SoFi were both trading under their 200-day moving average when I checked, and that's an automatic no for me. AMD is the opposite. It's the cleanest chart I've scored all year, and it's still a NO TRADE. The reason has nothing to do with the company. It's arithmetic, and I think a lot of put sellers here are running into the same wall without noticing. Where AMD stands (close Sept 30) Price: $611.76, up 0.69% on the day 52-week high: $639, so about 4% below the top Up roughly 280% in twelve months 200-day SMA around $515, which puts price about 19% abo
⚡ Missing Piece in the AI Boom: POWER! (Looking at $Defiance AI and Power Infrastructure ETF(AIPO)$ ) Everyone knows ETFs like QQQ, SMH, SOXX, and VGT. They’ve delivered incredible, lifecycle-defining returns off the back of the AI revolution over the past few years. However, these funds focus heavily on software platforms and semiconductor chips. There is a critical piece of the AI Build-up puzzle that pure tech ETFs often under-weight: Electrical Infrastructure and Energy Generation. Without massive power generation and grid upgrades, data centers simply cannot run next-gen AI clusters. 🔎 ETF Spotting: Defiance AI & Power Infrastructure ETF (AIPO) One interesting fund tackling this physical bottleneck head-on is the Defiance AI & Po
McDonald down 32% from its high. The burgers didn't change. The bond market did.
Hi guys rasinbunlover here! This is my first post so I’d appreciate your view and a follow if you like my content:) Came across an interest chart, since March, the US 10Y yield has risen from ~3.95% to 5.28%. Over the same period, $MCD has fallen ~32% from its high. Almost a perfect mirror image MCD vs 10Y 🔍 Why does McDonald trade “against” yields? McDonald's is mature, slow-growing, dividend-heavy and carries a lot of debt. So the market prices it partly like a bond: Higher yields = its steady future cash flows are worth less today A 5%+ Treasury competes directly with its dividend Higher rates slowly raise its own borrowing costs 💰 What the selloff has done to the valuation Forward dividend yield ~3.3%, the highest in over a decade (dividend just raised to $1.93/quarter) P/E at its low
The Micron Paradox: Why $MU Crushes Earnings and the Stock Stands Still
Few phenomena in modern equity markets confuse and frustrate investors quite like the post-earnings behavior of Micron Technology ($MU). Picture the scenario: the quarter ends, and Micron delivers a masterclass print. Revenue surges past top-end guidance, adjusted earnings per share blow out Wall Street’s consensus by double-digit percentages, gross margins expand by hundreds of basis points, and management raises forward guidance while declaring its High Bandwidth Memory (HBM) capacity fully booked through the next calendar year. By any traditional metric, it is a triumph—a quarter that in software or mega-cap tech would trigger a double-digit price surge. Yet, as the after-hours tape rolls, the stock barely budges. It ticks up 1%, turns negative, waffles around flat, and settles into a a