$DELL 0.71 Rising Signal

Notable posts

• @amitisinvesting neutral 2064 eng

  A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. Broadcom $AVGO said it has a “high degree of confidence” it will ship $350B of AI semiconductors over the next 2 years, even if all 30 GW of demand is not deployed because of land, power, and data center constraints. The company laid out a massive AI growth path, targeting AI semiconductor revenue of roughly $58B in FY26, $115B in FY27, and $230B in FY28 — a 4x increase in just 2 years. Broadcom said every 1 GW deployed by OpenAI or Anthropic could support about $30B in annual AI revenue, while AI networking revenue is expected to grow just as fast as its XPU business. In Q3’26, Broadcom reported revenue of $29.6B, beating estimates of $29.36B and up 86% YoY, with adjusted EPS of $3.32 versus $3.24 expected. AI semiconductor revenue surged 221% YoY to $16.7B, and Broadcom expects that to accelerate to $21.7B in Q4, up 236% YoY, while also targeting $30+ EPS in FY28. 2. Meta $META rolled out Muse Spark 1.3, saying the latest model delivers its biggest coding and agentic performance jump yet. Meta says Muse Spark 1.3 matches GPT-5.6 Sol on Terminal-Bench 2.1 with a score of 88.8 and reaches 75.4 on DeepSWE. The model is available now through Muse Code and the API. Zuckerberg also teased Watermelon and open weights coming next, signaling Meta is continuing to push aggressively on frontier coding agents and open AI distribution. 3. Nvidia-backed neocloud Nscale is telling prospective IPO investors it has roughly $103B in contracted revenue, up from $51B before its $45B compute deal with Anthropic, according to The Information. The contracts average 5.7 years, implying about $18B of future contracted revenue per year, though the figure is not current revenue or formal guidance and was described by one source as “illustrative.” Actual revenue is still much smaller but scaling quickly, rising from about $37M in Q1 2026 to more than $100M in Q2, excluding the Anthropic deal, as Nscale prepares for an IPO that could come as soon as this month. 4. HPE $HPE expanded its Oracle $ORCL AI data center deal, with HPE set to deploy Juniper networking gear across Oracle AI data centers globally under a potential multi-year agreement. The deal covers routing, switching, networking support, and financing for OCI’s AI clusters, regional data centers, and edge networks, while HPE also issued Oracle warrants to purchase HPE shares. Separately, HPE reported Q3’26 revenue of $12.2B, beating estimates of $11.91B and up 34% YoY, with adjusted EPS of $1.11 versus $0.93 expected. Networking revenue surged 74.9% YoY to $2.9B, while Cloud & AI revenue rose 25.4% YoY to $9.0B. HPE guided Q4 revenue to $13.9B–$14.8B, above the $12.96B estimate, raised FY26 guidance, and said AI is becoming a multi-year growth driver as record backlog supports the outlook. 5. Cantor Fitzgerald initiated Tempus $TEM at Overweight with an $80 price target, arguing the company is being mispriced as a traditional life sciences data vendor rather than an AI-powered platform business. The firm says Tempus’ Data & Applications segment has a stronger growth and margin profile than the market is giving it credit for, with 26% growth and 76% gross margins. Cantor believes the segment should be compared more closely to platform peers like $PLTR, $SNOW, $DDOG, and $RDDT rather than slower-growing data-vendor peers, creating a favorable upside risk/reward. 6. Google $GOOGL launched Gemini 3.8 Flash Cyber, a new cybersecurity-focused AI model that scored 86.2% on CyberGym and 47.2% on CWE-Bench. Google says the model has a 70%+ success rate identifying vulnerabilities across 20 programming languages and produced 2.6x more correct patches than larger models on real Chrome security bugs. Initial access is limited to government agencies and cybersecurity partners through Google’s Fairwind program. 7. The top 10 most active options today by contracts traded were $NVDA with 5.7M contracts, $TSLA with 2.8M contracts, $AAPL with 1.7M contracts, $META with 1.0M contracts, $MU with 959K contracts, $AMZN with 732K contracts, $PLTR with 675K contracts, $DELL with 633K contracts, $INTC with 557K contracts, and $GOOGL with 536K contracts. 8. JPMorgan says a 5% 10-year Treasury yield could be the level that starts to pressure stocks, with Grace Peters noting that “5% psychologically has an impact” and could trigger a knee-jerk equity selloff. She sees a potential 5%-8% correction into the midterms, but views that as a healthy pullback rather than a structural break. JPMorgan remains constructive on stocks longer term, with its thesis centered on a capex-driven earnings supercycle, while the key medium-term test for AI will be whether the spending translates into real returns. 9. Berenberg initiated Rocket Lab $RKLB at Buy with an $83 price target, implying about 29%-35% upside, calling it the only end-to-end public pure-play in space across launch, satellites, components, and spectrum. The firm says Rocket Lab has an effective monopoly in dedicated small-lift launch, is entering medium-lift with Neutron, and is benefiting from rapid growth in satellite manufacturing and components as space budgets hit records. Berenberg also said the Iridium acquisition adds scarce global spectrum and recurring applications revenue, while Rocket Lab’s vertical integration gives it long-term optionality not fully reflected in the stock’s valuation. While acknowledging execution risk and a high multiple, the firm called Rocket Lab one of the most compelling long-term assets in the space sector and said it would buy or add on volatility. 10. The 60+ day delinquency rate on U.S. subprime auto loans has climbed to roughly 5.2%, the highest level on record and more than double where it was four years ago. Serious subprime auto delinquencies are now about 1.7 percentage points above their 2008 financial crisis peak, while prime auto loan delinquencies have also risen to around 0.4%, near the highest level since 2011. At the same time, total U.S. auto debt increased by $28B in Q2 2026 to a record $1.71T. 11. Onchain tokenized equity holders have reached a record 1.9M, up 134% month-over-month and 1,360% year-to-date. Just 10 months ago, fewer than 100,000 people held tokenized assets, but demand for 24/7 markets and access to names tied to the record IPO wave, including SpaceX, OpenAI, and Anthropic, has accelerated adoption. Jupiter, the largest onchain trading platform on Solana, has driven much of the growth, with 61% of volume now happening during off-hours and active tokenized equity traders up 46% month-over-month. 12. Microsoft $MSFT will begin disclosing Azure revenue as part of a major FY27 reporting overhaul, shifting from three business segments to two: Agents & Infrastructure and Devices & Consumer. For Q1 FY27, Microsoft expects Azure growth of 44%-45% in constant currency, Agents & Infrastructure revenue of $75.15B-$75.75B, Devices & Consumer revenue of $14.7B-$15.2B, Microsoft 365 Commercial Cloud growth of about 17% in constant currency, and Search & Ads ex-TAC growth in the mid-to-high single digits. The new structure marks Microsoft’s biggest reporting change since adopting its prior three-segment model in FY2016. WALL STREET IS THE GREATEST SHOW ON EARTH.

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• @amitisinvesting neutral 1918 eng

  A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. $DELL DELL delivered another huge beat and raise, reporting record quarterly revenue of $47.0B versus $44.9B expected, up 58% YoY. Adjusted EPS came in at $7.04 versus $4.91 expected, up 203% YoY from $2.32. AI server revenue reached $16.4B, roughly doubling YoY, while Dell booked a massive $60.9B of AI server orders during the quarter. AI backlog surged to a record $95B, up from $51.3B last quarter, one of the biggest numbers in the report. Infrastructure also remained strong, with traditional servers and networking revenue up 122% YoY to $10.5B and storage revenue up 26% to $4.9B. Dell raised its FY27 revenue outlook sharply to roughly $192B, compared with its prior $165B–$169B range. If Dell's earnings are any insight into the AI trade, demand continues to be scaling rapidly. 2. Elon Musk’s G20 address today focused on one core idea: AI growth is now being constrained by power, not just chips. He said the world already faces an AI power crisis, citing a potential 15 GW shortfall by 2027, with AI chip production growing 40%–50% annually while power outside China grows only 10%–20%. Musk argued this creates a major opportunity for countries that can build new electricity capacity, host AI data centers, and monetize that infrastructure. He also said digital AI alone could lift the global economy by 20%–30%, or roughly $20T–$30T per year, with AI potentially becoming “Stockfish-level” at software and engineering within 12–18 months. On robotics, he said physical AI $TSLA $SPCX will take longer but could ultimately drive the economy up by 10x or more, especially once humanoid robots begin making more robots. 3. Two oil supertankers were reportedly hit by unknown projectiles while exiting the Persian Gulf through the Strait of Hormuz, according to maritime security firm Marisks. The U.S. embassy in Jerusalem also warned Americans in the Middle East to exercise heightened vigilance amid the risk of further regional escalation. The 10-year treasury passed 4.8%, reaching the highs from January 2025 and $WTI crude oil surpassed $90/barrel for the first time since July 23rd. 4. Treasury Secretary Bessent said the Strait of Hormuz will be “bypassed” within 2 years, arguing that oil will increasingly move through land pipelines instead of the Strait. He said that in two years, Hormuz will be like a “worthless piece of water,” while also noting the U.S. has held private discussions with China on Iran. On sanctions, Bessent said the Treasury is looking at airline leasing companies and that new bank sanctions on Iran are likely coming this week and next. 5. Palantir $PLTR won a new U.S. Army TITAN production contract, with the Army awarding Palantir a prime agreement to produce and deliver 8 new TITAN ground station systems: 4 Advanced and 4 Basic. TITAN is the Army’s next-generation AI/ML-powered deep-sensing platform, combining data from space, high-altitude, aerial, and terrestrial sensors to generate targeting intelligence for mission command and long-range precision fires. Palantir will serve as the prime contractor, overseeing manufacturing, delivery, and the software powering TITAN, alongside partners including Anduril, L3Harris, Sierra Nevada, Strategic Technology Consulting, and World Wide Technology. Palantir USG President and CTO Akash Jain said, “TITAN was shaped by the Soldiers who used it, in the conditions they used it in, against the standard they set. That is the only way a system like this earns its place in the field.” 6. Meta $META is exploring whether its AI glasses can be classified as an assistive device, a move that could potentially allow Medicare and Medicaid coverage for eligible blind and low-vision users. Meta’s wearables VP said the company is “very interested” in pursuing assistive-device classification through the U.S. government. Separately, Meta made Muse Voice Transcribe available through its model API, priced at $3 per 1,000 audio minutes, expanding access to its voice transcription capabilities for developers. 7. Apple claims in a new court filing that OpenAI is actively destroying crucial evidence in a trade secrets case, according to Bloomberg. Apple’s lawyers said an initial forensic review of an Apple-issued MacBook used by a former iPhone engineer found evidence that he and others at OpenAI were aware of his alleged unauthorized access to Apple’s cloud storage providers. The filing also claims he sent instructions for destroying evidence, escalating the dispute between Apple and OpenAI around alleged trade secret misuse. 8. Anthropic launched Claude Fable 5.1 and Mythos 5.1, with Fable 5.1 positioned as its most advanced model yet for coding, knowledge work, long-running agents, and scientific research. The biggest gains came in agentic and coding benchmarks. Anthropic says the larger step-change is in long-running work, with Fable 5.1 better at staying on task for hours, verifying its own work, and finding root causes instead of surface-level fixes. 9. Options activity is cooling, but the mix remains heavily skewed toward calls. The 5-day moving average of call volume has fallen to roughly 6.6M contracts, the lowest since early May, down 1.7M contracts or 20% since mid-July. Put volume has also declined, with the 5-day moving average falling to about 5.3M contracts, the lowest since February. As a result, the equity call-to-put volume ratio has climbed to 1.25x, near the highest level in 5 years and a reading that has been higher only 11% of the time since 2010. 10. Chevron $CVX is reportedly finalizing a deal to significantly expand its operations in Venezuela as part of President Trump’s push to increase Venezuelan oil production, according to Bloomberg. The deal would add 2 giant oil fields in the Orinoco Belt to Chevron’s operations and give the company operating rights to fields holding billions of barrels of oil. It is expected to be the largest of several agreements announced in the coming days as Trump encourages more U.S. investment in Venezuela’s oil industry. The deal is separate from negotiations for the U.S. government to take a direct stake in Venezuelan oil fields. 11. The top 10 most active options today by contracts traded were $NVDA with 2.5M contracts, $AAPL with 2.1M contracts, $TSLA with 1.8M contracts, $MU with 838K contracts, $AMZN with 665K contracts, $META with 614K contracts, $SPCX with 541K contracts, $INTC with 508K contracts, $PCG with 394K contracts, and $GPRO with 372K contracts. 12. Trump said the U.S. is currently striking Iranian targets near the Strait of Hormuz, calling the strikes “large and powerful” and saying they are retaliation for Iran’s failed attempt to place sea mines in the Strait and for launching 8 missiles at a U.S. military base in Jordan, all of which he said were intercepted. He said the Strait currently has no mines after they were “completely removed or detonated,” and warned that if Iran retaliates, it will be hit again at a “much harder and higher level.” Trump also said he “couldn’t care less” about Iran, likes the U.S. position on the Strait, and questioned when the Iranian people will “stand up and fight.” WALL STREET IS THE GREATEST SHOW ON EARTH.

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• @StockSavvyShay neutral 1587 eng

  THE NEW AI INFRASTRUCTURE STACK Piper Sandler mapped the new AI infrastructure stack across 8 layers from the power grid all the way to the agent as AI scaling creates bottlenecks across power, cooling, networking, storage, cloud & inference: Layer 1 | Power, Grid & Real Estate • $NEE building renewable power backbone hyperscalers need to scale AI • $CEG monetizing 24/7 nuclear power AI data centers increasingly require • $TLN building behind the meter nuclear power model for AI campuses • $IREN turning scarce power & interconnects into hyperscale AI capacity • $DLR owning physical real estate underneath global AI infrastructure • $EQIX owning interconnection layer where AI networks & clouds meet Layer 2 | Physical Datacenter, Shell & Cooling • $VRT building 800V DC powertrain needed for next jump in AI rack density • $SMCI assembling liquid cooled rack systems that turn GPUs into usable compute Layer 3 | Silicon & Hardware • $NVDA building compute platform underneath AI economy • $AMD building second full stack accelerator platform at hyperscale • $AVGO designing custom AI silicon behind Google TPUs & Meta MTIA as hyperscalers move deeper into proprietary compute • $GOOGL turning TPUs from an internal advantage into a hardware business sold directly into customer data centers • $INTC turning 14A into a real external foundry business with $TSLA as an anchor customer and its largest reported foundry deal yet • $ARM moving into full server CPUs & capturing the full value of the chip instead of dollars per core Layer 4 | Scale Up & Scale Out Networking • $ANET building Ethernet backbone connecting hyperscale AI clusters • $CSCO extending enterprise networking into AI data center fabric • $CLS manufacturing physical networking hardware connecting AI clusters Layer 5 | High Performance Storage • $PSTG using DirectFlash to reclaim power & rack space for AI infrastructure • $DELL bundling servers & storage into an integrated enterprise AI stack • $NTAP connecting enterprise data estates to cloud AI workloads • $HPE bringing enterprise storage into an infrastructure as a service model Layer 6 | Orchestration & Workloads • $IBM turning Red Hat OpenShift into enterprise control plane for private & hybrid AI deployments • $NTNX bringing AI infrastructure stack into private & on prem environments Layer 7 | GPUaaS & Cloud • $CRWV proving GPU residual value with fully priced A100 capacity contracted through 2029 • $NBIS building an AI cloud around 5GW of contracted power with customers prepaying 50% of capex • $DOCN bringing AI compute & inference below hyperscale cloud layer • $MSFT turning Azure into one of largest distribution layers for AI compute • $AKAM pushing AI inference closer to where users consume it • $AMZN monetizing AI through hyperscale cloud infrastructure & its own silicon • $ORCL building AI cloud capacity against a heavily concentrated backlog of large customer commitments Layer 8 | Model Execution, Tokens & Agents • $NET becoming distribution layer between AI agents and the internet as non human traffic crosses more than 50% of its network • $FSLY moving inference closer to the end user through edge compute

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• @amitisinvesting bullish 1542 eng

  Why is $DELL trading at 18 times forward but Micron $MU only trading at 7 times forward? Both are incredibly important companies for the AI buildout but Micron has margins that are 3x larger than Dell. What is the market so upset about when it comes to memory? If any of the new agentic workloads are an indication of the demand for memory into the future, one could argue it is similar if not more relevant than server racks from Dell, even though both obviously matter but one is massively more supply constrained. Even I felt earlier in the year that the cyclicality of memory made it hard to see massive risk/reward after the stock had already 10x'ed but the cycle is going to continue lasting and if $MU is cyclical then so is $DELL so the valuation disconnect here is very weird.

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• @StockSavvyShay bullish 1352 eng

  12 STRONGEST EARNINGS PRINTS THIS CYCLE 1. $PLTR | Palantir 2. $DOCN | DigitalOcean 3. $BE | Bloom Energy 4. $SITM | SiTime 5. $RKLB | Rocket Lab 6. $TE | T1 Energy 7. $AMD | AMD 8. $MU | Micron 9. $HPE | Hewlett Packard 10. $NBIS | Nebius 11. $SNDK | SanDisk 12. $DELL | Dell

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• @StockSavvyShay bearish 1296 eng

  “The market is in such a bubble.” Yet here are the 2027 earnings multiples for some of the largest companies in the world: • $ORCL ~26x • $AMZN ~25x • $GOOGL ~25x • $MSFT ~22x • $NOW ~22x • $AVGO ~20x • $TSM ~19x • $DELL ~19x • $NVDA ~16x • $META ~16x • $CRM ~12x • $SNDK ~9x • $MU ~8x

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• @StockSavvyShay bearish 1169 eng

  ThE mArKeT iS iN sUcH a BuBbLe Yet these are the 2027 earnings multiples for some of the world’s biggest companies: • $AMZN ~23x • $GOOGL ~22x • $NOW ~22x • $MSFT ~20x • $AVGO ~20x • $DELL ~20x • $TSM ~19x • $NVDA ~16x • $META ~16x • $ORCL ~11x • $SNDK ~7x • $MU ~6x • $SKHY ~4x

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• @amitisinvesting bullish 1040 eng

  $SMCI Woah. SMCI guided for 8.4-8.7% gross margins last quarter. They have a TTM gross margin of 8.83%. They just came out after hours and said they are increasing their guide for gross margins to now 15-17%. Even during 2024-2025, their gross margins went from 11-13%. How does a commodity server rack provider double their margins in the past 90 days? If anything, it feels like the company is either rolling out new products with better margins in the AI space or gaining more leverage with their customers to command better margins. If a low margin business like $SMCI can gain leverage, then other AI names can as well, which is part of the reason that competitors like $DELL and $HPE are up after hours. Pretty incredible move from SMCI and could be a big moment for many AI names that are able to increase margins. $SMCI +15%

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