$ARM 0.57 Developing

Notable posts

• @StockSavvyShay bullish 3480 eng

  THE FUTURE IS ON SALE RIGHT NOW Drawdown from highs: • $OKLO −76% • $NVTS −63% • $CRWV −60% • $ASTS −58% • $IONQ −57% • $PL −57% • $AAOI −56% • $RKLB −55% • $IREN −54% • $ONDS −53% • $TE −51% • $OUST −42% • $ARM −42% • $BE −39% • $NBIS −38%

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• @StockSavvyShay neutral 3410 eng

  UPDATED FIB LEVELS FOR POPULAR STOCKS AI Utilities • $IREN $51 • $NBIS $177 • $CIFR $17 • $CRWV $100 AI Power • $EOSE $7 • $BE $237 • $NVTS $22 • $VRT $282 AI Hardware • $NVDA $192 • $TSM $408 • $ASML $1,618 • $MU $730 AI Applications • $PLTR $129 • $NOW $109 • $CRWD $598 • $SNOW $181 AI Connectivity • $AVGO $377 • $ALAB $305 • $CRDO $195 • $MRVL $236 Space • $RKLB $106 • $ASTS $89 • $PL $31 • $BKSY $32 Quantum • $IONQ $52 • $RGTI $15 • $QBTS $20 • $INFQ $13 Drones • $ONDS $10 • $AVAV $175 • $KTOS $52 • $UMAC $24 Nuclear • $OKLO $50 • $UUUU $12 • $GEV $906 • $LEU $151 Photonics • $AAOI $164 • $LITE $698 • $COHR $283 • $AEHR $76 CPU Bottleneck • $AMD $383 • $INTC $91 • $ARM $299 • $AMKR $57 Physical AI • $TSLA $382 • $AMZN $230 • $GOOGL $357 • $ISRG $394

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• @StockSavvyShay neutral 1956 eng

  SEMICONDUCTOR STOCKS BY PEG RATIO PEG < 1 usually means mispriced growth PEG > 2 starts to push into the danger zone Here’s how they stack up: • $ALAB ~2.9x • $ARM ~2.4x • $INTC ~2.2x • $LRCX ~2.2x • $KLAC ~2.0x • $AMAT ~1.7x • $ASML ~1.7x • $ANET ~1.7x • $TSM ~1.2x • $LITE ~1.1x • $COHR ~1.0x • $CRDO ~0.9x • $NVDA ~0.8x • $AMD ~0.7x • $AAOI ~0.7x • $MRVL ~0.6x • $ON ~0.6x • $AVGO ~0.6x • $SNDK ~0.4x • $MU ~0.4x

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• @amitisinvesting neutral 1640 eng

  A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. Today was a green day. The Nasdaq jumped 2.26% to a record close of 27,122.09, while the S&P 500 gained 1.49% to 7,764.70, finishing just 0.4% below its all-time high. The rally was fueled by a powerful AI and semiconductor rebound, with $AMD topping a $1T market cap for the first time, $INTC climbing roughly 12%, $ARM surging about 17%, and Meta jumping around 11% after bullish analyst commentary and strong early traction for $META Muse. Falling oil prices and easing Treasury yields also supported risk assets. The S&P 500 added roughly $1T in market value during the session, though leadership remained concentrated in mega-cap AI names while energy stocks lagged as crude pulled back. 2. Meta $META surged 11.4% to $741.25, adding roughly $200B in market value after Wells Fargo raised its price target to $796 and argued the company finally has a compelling AI monetization story. Another major catalyst was Muse becoming the #1 free app on Apple's U.S. App Store, providing the first strong consumer evidence that Meta's AI investments may be gaining traction. Investors also positioned ahead of Meta Connect, where Zuckerberg is expected to unveil new Muse features, AI models, and wearables. 3. Treasury Secretary Scott Bessent said U.S.-China talks went “very well,” announcing that the two countries have formally established U.S.-China AI Dialogues and will meet again in 2 months. Bessent also said the U.S. and China are creating an AI incidents hotline to communicate if safety-related issues arise and are now discussing protocols covering cybersecurity, AI agents, and broader AI safety. The move marks one of the first formal bilateral frameworks focused specifically on managing frontier AI risks between the two countries. 4. President Trump announced that the U.S., Denmark, and Greenland have reached an agreement giving the United States permanent responsibility for Greenland’s security, saying the arrangement comes at no cost to the U.S. Under the agreement described by Trump, no U.S. adversary will be permitted to establish a military base, maintain a military presence, or make sensitive investments in Greenland without U.S. approval. Trump also said the U.S. will begin building a significantly larger military presence on the island and described the agreement as having “no end.” 5. Anthropic told investors it expects to scale available compute capacity to roughly 5 GW by the end of this year, up from about 1.5 GW last year, according to the New York Times. That would put it roughly in line with OpenAI’s estimated compute footprint this year, with both companies targeting around 10 GW by the end of 2027. Anthropic has aggressively secured capacity across multiple providers, including a deal to pay SpaceX about $1.25B per month for compute through May 2029, while its partnership with Amazon includes up to 5 GW of capacity. The company is also reportedly in talks with Meta over a potential $10B compute lease spanning two years, though no agreement has been finalized. 6. GameStop $GME CEO and Chairman Ryan Cohen purchased another 1.15M shares for approximately $26.4M, paying an average price of $22.94 per share. The purchase increases his direct ownership to 40.5M shares. Including warrants, Cohen now beneficially owns 44.2M shares, representing roughly 8.7% of GameStop. The latest buy further increases his personal investment in the company and follows his recent series of open-market purchases. 7. The Trump administration is reportedly proposing a $5B Middle East energy reconstruction fund, according to the Wall Street Journal, aimed at rebuilding infrastructure damaged during the Iran war and reducing the region’s dependence on the Strait of Hormuz. The U.S. would seek matching contributions from Saudi Arabia, the UAE, Qatar, Bahrain, Kuwait, Oman, Iraq, and Jordan, potentially expanding the fund to $10B. The proposed fund, known as Pact, would be managed by the U.S. Development Finance Corporation, though discussions remain ongoing and the terms could still change. The proposal comes as traffic through the Strait of Hormuz remains well below pre-war levels and Gulf producers continue relying on more expensive alternative export routes. 8. The top 10 most active options today by contracts traded were $NVDA with 3.8M contracts, $TSLA with 2.8M contracts, $META with 2.8M contracts, $INTC with 2.2M contracts, $AAPL with 1.4M contracts, $AMD with 1.3M contracts, $MU with 1.2M contracts, $AMZN with 1.0M contracts, $SPCX with 826K contracts, and $MSFT with 753K contracts. 9. OpenAI projects $278B of cumulative negative free cash flow through 2030, driven by roughly $856B of compute and infrastructure spending, according to the Financial Times. The company expects revenue to grow from $36B this year to $350B in 2030, generating roughly $840B in total revenue over the remainder of the decade. OpenAI's $122B funding round from March is projected to be exhausted by 2028, and the company is now discussing another major capital raise, with investors reportedly approaching it around a $1.2T valuation while OpenAI is seeking an even higher figure. The projected cash burn has improved from $305B estimated in May, while recent model launches boosted annualized revenue by about 20% in July despite ongoing price cuts to compete with Anthropic and lower-cost Chinese open-weight models. OpenAI also confidentially filed for an IPO in June but has since delayed the listing process. 10. Meta $META’s new Muse AI assistant is outpacing ChatGPT’s early mobile launch across several key adoption metrics, according to Sensor Tower. Muse reached 2.8M downloads in its first 12 days across both app stores. On a comparable U.S. + Canada iOS basis, Muse recorded 1.8M downloads versus 1.3M for ChatGPT. Muse also set a new U.S. daily download record of 264K on September 19, marking its third consecutive day above 200K. Engagement has also been stronger, with Muse reaching 448K U.S. daily active users by day 10, while ChatGPT took 49 days to reach a similar level. By day 12, Muse had 642K U.S. mobile DAUs versus 231K for ChatGPT at the same point, while even on U.S. iOS only, Muse reached 359K DAUs. 11. Last week marked hedge funds' largest weekly purchase of U.S. equities in 5 weeks, driven by a combination of short covering in macro products such as index futures and ETFs and new long purchases in individual stocks. The strongest demand was concentrated in Information Technology and Communication Services, with hedge funds now buying those sectors for 3 consecutive weeks. Software has been a particular focus, with hedge funds purchasing U.S. software stocks in 4 straight weeks and in 6 of the last 8. As a result, software allocations have risen to roughly 5.0% of total hedge fund market exposure, the highest level since the start of the year, up from a record low of 1.3% in February. 12. U.S. household equity exposure has climbed to a record 39.9% of household net worth, up 12.6 percentage points since the 2022 bear market. Over the same period, homeowners’ equity in residential real estate has fallen to 19.3% of household net worth, down 3.5 percentage points and its lowest share since Q2 2021. As a result, the gap between household exposure to equities and real estate has widened to a record 20.6 percentage points. For perspective, during the 2005 housing boom, real estate represented 24.1% of household net worth and exceeded equity exposure by about 1 percentage point, highlighting how dramatically household wealth has shifted toward financial assets. 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 1523 eng

  $AMD hits $1T! This is a classic story around retail holding and believing for YEARS in the face of depressing price action or worse, no price action. Every holder deserves their flowers today. Now, in terms of the move on no news…I think the news is $META Muse having a breakout moment. If Muse becomes THE consumer agent (shame that Apple is not winning here) then the demand for agentic inference, CPUs, and digital workstations would theoretically be much larger than it is today…which helps $AMD. It also helps $INTC and $ARM as those names are moving higher. From Wells Fargo today: “Muse US app downloads & DAUs accelerating last few days and tracking above other AI apps in first 12 days since launch, based on SensorTower. Muse US downloads set new record on 9/19 (264k), 3rd straight day >200k, while DAUs accel'd to a new peak of 448k on 9/18 (10-days post launch). For context, ChatGPT didn't reach >200k US downloads until 1-yr post launch and 450k US DAUs until day 49. In last 30-days, Muse has the highest avg rating (4.66 stars) w/ 87% 5-star review share vs peer apps.” Oh and then to not forget…Meta has warrants to own up to 10% of $AMD at this $600 price as they are AMD’s largest customer and will pay for many more CPUs if Muse continues to scale. Feels like both are in a strong spot and benefit from each other.

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• @StockSavvyShay neutral 1430 eng

  UPDATED FIB LEVELS FOR POPULAR STOCKS AI Utilities • $IREN $31 • $NBIS $160 • $CIFR $17 • $CRWV $67 AI Power • $EOSE $3 • $BE $192 • $NVTS $8 • $VRT $245 AI Connectivity • $AVGO $368 • $ALAB $251 • $CRDO $183 • $MRVL $168 AI Hardware • $NVDA $190 • $TSM $377 • $ASML $1,713 • $MU $672 AI Applications • $PLTR $131 • $NOW $101 • $CRWD $196 • $SNOW $259 Physical AI • $TSLA $369 • $AMZN $245 • $GOOGL $335 • $VPG $84 Space • $RKLB $56 • $ASTS $47 • $PL $20 • $RDW $8 Quantum • $IONQ $26 • $RGTI $13 • $QBTS $16 • $INFQ $8 Drones • $ONDS $6 • $AVAV $99 • $KTOS $42 • $MRCY $92 Nuclear • $OKLO $33 • $UUUU $8 • $GEV $906 • $LEU $132 Photonics • $AAOI $87 • $LITE $636 • $COHR $311 • $AEHR $66 CPU Bottleneck • $AMD $467 • $INTC $88 • $ARM $242 • $AMKR $57

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• @StockSavvyShay neutral 1400 eng

  UPDATED FIB LEVELS FOR POPULAR STOCKS Space • $RKLB $92 • $ASTS $90 • $PL $32 • $RDW $12 Quantum • $IONQ $55 • $RGTI $19 • $QBTS $20 • $INFQ $13 Drones • $ONDS $9 • $AVAV $169 • $KTOS $52 • $MRCY $104 Nuclear • $OKLO $50 • $UUUU $15 • $GEV $906 • $LEU $182 Photonics • $AAOI $160 • $LITE $825 • $COHR $369 • $AEHR $110 CPU Bottleneck • $AMD $512 • $INTC $125 • $ARM $420 • $AMKR $83 Physical AI • $TSLA $382 • $AMZN $230 • $GOOGL $357 • $ISRG $397 AI Utilities • $IREN $56 • $NBIS $206 • $CIFR $17 • $CRWV $111 AI Power • $EOSE $7 • $BE $265 • $NVTS $24 • $VRT $282 AI Hardware • $NVDA $192 • $TSM $437 • $ASML $1,732 • $MU $1,013 AI Applications • $PLTR $121 • $NOW $95 • $CRWD $624 • $SNOW $181 AI Connectivity • $AVGO $368 • $ALAB $372 • $CRDO $262 • $MRVL $292

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