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Luminara Stocks

@_stockResearch

Growth Investor | Ex Equity Analyst | Sharing research & portfolio updates MSc in Robotics & Machine Learning | CFA | EOY Target $2.5m

Berlin, Germany Katılım Eylül 2025
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Luminara Stocks
Luminara Stocks@_stockResearch·
Following is my "Blue Sky" thesis for Nebius ( $NBIS ) to reach $1,000 per share by December 2027. At a current price of ~$100 (Dec 2025), reaching $1,000 implies a 10x return and a market capitalization of approximately $250 billion. This valuation would move Nebius from a "tier 2" infrastructure provider to a valuation peer of top-tier enterprise software monopolies. I share details of valuation and the fundamental changes needed for this below. This thesis relies on three analytical Pillars: 1. Hyper-Scaling Revenue, 2. Margin Expansion via Software, and 3. Geopolitical "Alpha." The Core Thesis: From "GPU Landlord" to "AI Sovereign Cloud"Nebius will reach $1,000/share not by simply renting chips, but by becoming the primary alternative AI ecosystem to the US Hyperscalers (AWS/Azure/GCP). By 2027, Nebius must evolve from a hardware utility into a high-margin AI Operating System, commanding a SaaS-like valuation multiple on massive infrastructure revenues. Pillar I: Revenue Hyper-Scaling (The "Shadow Hyperscaler" Effect) To justify a $250B valuation, Nebius needs to generate roughly $12B–$15B in annualized revenue by late 2027. This requires a Compound Annual Growth Rate (CAGR) significantly higher than the market average. The Microsoft/Meta Floor: The $19B Microsoft and $3B Meta deals provide a guaranteed revenue "floor." However, to hit the aggressive $1,000 target, Nebius must prove these are not one-off rentals but the start of a permanent migration. The "Shadow" Capacity Crisis: As LLMs scale to trillions of parameters by 2027, the "Big 3" clouds will hoard their own capacity for internal models (e.g., Gemini, OpenAI, Llama). This creates a massive vacuum for independent capacity. Nebius captures the overflow demand from Fortune 500 enterprises who cannot access sufficient capacity from AWS/Azure. Analytical Metric: Nebius must increase its connected power capacity from ~100 MW (2025) to 1.5 GW+ by 2027, effectively doubling its deployment speed every year. Pillar II: The Multiple Re-Rating (The Software Pivot) Infrastructure companies (like REITs) typically trade at 5x–10x revenue. Software companies trade at 20x–30x. To reach $1,000, Nebius must act like software. Nebius Token Factory & AI Studio: The thesis hinges on the success of these platforms. Instead of just renting raw GPUs (low margin), Nebius sells "Inference-as-a-Service" (high margin). Scenario : By 2027, 40% of Nebius's revenue comes from the Token Factory—managing the serving of models rather than just the training. Effect: This shifts gross margins from ~30% (hardware rental) to ~65% (software platform), justifying a valuation multiple expansion from 15x to 25x. The "SaaS-ification" of Compute: Investors stop viewing Nebius as a "box mover" and start viewing it as the "Snowflake of Compute"—an essential data platform layer. Pillar III: Geopolitical "Sovereign AI" Moat Nebius has a unique advantage: it is not a US Big Tech company. Data Sovereignty: European and Middle Eastern governments/enterprises are increasingly wary of the US Cloud Act and data dependencies on Microsoft/Google. The "Swiss Bank" of AI: Nebius (HQ in Amsterdam) positions itself as the neutral, sovereign alternative for AI infrastructure. This allows them to win exclusive government contracts in the EU and potentially regions like the Middle East that the US Hyperscalers cannot easily service due to geopolitical friction. The Math: The Bridge to $1,000 2027 Revenue : $12.5 Billion Rev Growth Source: Massive Software/Inference Adoption Gross Margin: 60%+ (Platform/Software Led) Valuation Multiple: 20x Sales (SaaS Premium) Implied Market Cap: ~$250 Billion Critical Assumption - Dilution Control: This math assumes Nebius funds its massive CapEx (buying GPUs) primarily through debt (project financing backed by the Microsoft contract) rather than issuing new shares. If they dilute shareholders significantly to raise cash, the $1,000 target becomes mathematically impossible. Conclusion: For Nebius to reach $1,000/share, it must execute a "perfect pivot": utilising the cash flow from its Microsoft mega-deal to fund the construction of a high-margin proprietary software platform. It must stop being a "landlord" for Nvidia chips and become the "operating system" for the global AI economy.
Luminara Stocks@_stockResearch

$NBIS (CMP $83) - Deep Dive Investment Thesis with Bull, Bear & Base case price scenarios! 🧵 Nebius is building the picks & shovels for the AI revolution. After a brutal 30% drawdown, the risk/reward has never been more compelling. Here’s why this could be a generational opportunity: 1/ THE SETUP •Current: $83 •Analyst avg target: $157 (88% upside) •Bull target: $211 (153% upside) •5 Buy ratings, 0 Sells •Recent 30% drop created entry point 2/ THE OPPORTUNITY AI infrastructure is the most supply-constrained market in tech. Hyperscalers spending $405B in 2025, projected $500B+ in 2026. GPU compute is gold, and NBIS is positioned as THE third-party provider. 3/ REVENUE TRAJECTORY •Q3 2025: $146M (+355% YoY) •2025E: $500-550M •2026 target: $7-9B ARR •That’s 1,300-1,600% growth potential over 12 months 4/ CONTRACT BACKLOG •$3B Meta deal (deploying Dec ’25) •$17.4B Microsoft Azure agreement •2.5 GW contracted power, 1 GW connecting by end 2026 •Customer diversification = reduced risk 5/ THE BULL CASE (PT: $250-300) ✅ Hits $6B+ revenue in 2026 ✅ GAAP EPS: $6+ ✅ Captures 3-5% of AI infra market ✅ Profitability ahead of schedule ✅ Stock re-rates to 40-50x forward earnings 6/ THE BASE CASE (PT: $140-170) → $4.5-5B revenue in 2026 → GAAP EPS: $4-5 → Minor delays but solid execution → Trades at 30-35x forward earnings → Meets analyst consensus 7/ THE BEAR CASE (PT: $50-70) ❌ Only $3-4B revenue (execution issues) ❌ Power constraints delay capacity ❌ AI spending slowdown ❌ Dilutive capital raises (25-35%) ❌ FCF burn accelerates to -$8-9B 8/ KEY RISKS •Burning $658M FCF currently •CapEx raised from $2B to $5B •P/E: 97x (stretched valuation) •Power constraints & supply chain issues •Profitability timeline uncertain 9/ WHY NOW? 1.Stock down 30% despite $3B Meta deal 2.Testing technical support at $82-83 3.Oversold conditions (WR signal) 4.No analyst downgrades post-earnings 5.2026 is THE inflection year 10/ THE VERDICT This is a binary bet on AI infrastructure scaling. If NBIS executes, $200+ is realistic by late 2026. If they stumble, $50s possible. Risk/Reward: 3:1 upside/downside Time horizon: 12-18 months Position sizing: 2-5% max (although my size is closer to 40% of my portfolio) 11/ MY TAKE At $83, the market is pricing in significant execution risk. But with $20B+ in contracts and analysts maintaining Buy ratings, the setup favors patient capital. Not financial advice. DYOR. 📊

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Luminara Stocks
Luminara Stocks@_stockResearch·
@hypergrowth102 I remember I used to follow you brother. I wonder how the follow dropped! Back again!
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Luminara Stocks@_stockResearch·
@MrBeast 100 years of no aging and I will sell my blood to pharmaceutical companies to study non aging for over a billion each!!
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MrBeast
MrBeast@MrBeast·
Would you rather stop aging for 100 years or receive 1 billion dollars right now?
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Luminara Stocks@_stockResearch·
@StockSavvyShay @fiscal_ai In addition, they have been consistently buying back their shares, each day! $ASML is an incredible business, and I have a few friends who work with ASML in Netherlands!
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Shay Boloor
Shay Boloor@StockSavvyShay·
A single $ASML EUV machine now costs ~$284M. Average EUV pricing compounded about 13% annually for the last decade before surging another 45% in a single year with no orders canceled showing how much pricing power ASML has. That pricing power holds because virtually every dollar of advanced AI compute spending ultimately depends on chips produced using these machines.
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Shay Boloor@StockSavvyShay

$ASML makes the machines that every advanced AI chip depends on and just raised its 2026 outlook for the second time this year. When $TSM $INTC $SKHY and $MU place orders with ASML they're effectively voting on the amount of advanced chip capacity they expect to need several years from now. With logic and memory now growing together, ASML is becoming the toll road for both the AI chips and the HBM surrounding them.

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Luminara Stocks@_stockResearch·
@ColesTrades $MRVL right now for me as i hold $MU $NBIS already! x.com/_stockResearch…
Luminara Stocks@_stockResearch

I am initiating a position in $MRVL in my long term portfolio tomorrow. Here's why, and why now: $MRVL as a Secular AI Infrastructure Play Marvell is rapidly transitioning from a cyclical chip designer into an indispensable backbone for the global AI transition. 1. Top-Line Acceleration: Q1 FY2027 revenue reached $2.42 billion, beating estimates and proving the company's ability to scale. 2. Data Center Hyper-Growth: Data center revenue surpassed $6 billion in FY2026, and management expects this segment to grow ~40% year-over-year in FY2027, and approach 50% growth by FY2028. 3. Custom Silicon Ramp: The custom business doubled last year, is projected to grow over 20% this year, and is expected to double again by FY2028. Why am I buying it now? Initiating now captures a strategic entry point ahead of the late-August Q2 earnings report. After hitting a record $329 in June following its S&P 500 inclusion and public praise from Nvidia's CEO, the stock has pulled back to the ~$188 level. Securing this foundational semiconductor asset at a discount not only fortifies long-term equity growth but provides a highly liquid, volatile base perfectly suited for immediately writing covered calls to optimize risk-adjusted returns. Future Scenarios & Risk Assessment A. The Bull Scenario (Accelerated Adoption): Hyperscaler demand continues to outstrip supply, and Marvell's newly launched Teralynx T100 switch dominates the "greenfield" AI rack connectivity market. If the custom silicon segment hits its projected 100% year-over-year acceleration in FY2028, the stock could aggressively reclaim its summer highs and push towards $600 upper price targets. B. The Bear Scenario (Multiple Compression): The stock remains priced for flawless execution, trading at elevated forward multiples compared to peers like Broadcom ($AVGO ). Any execution delays in the optical interconnect rollout, or a broader slowdown in AI infrastructure spending, could trigger a multiple compression. Under these conditions, the stock could test the lower analyst support levels around $170.

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Cole’s Trades
Cole’s Trades@ColesTrades·
What stock looks the most appealing to you right now? $MU under $900 $NBIS under $200 $MSFT under $400 $PLTR under $135 $SOFI under $17
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Luminara Stocks@_stockResearch·
@alojoh It better pop man, my Dec leaps are due for expiry now!
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Luminara Stocks
Luminara Stocks@_stockResearch·
I am initiating a position in $MRVL in my long term portfolio tomorrow. Here's why, and why now: $MRVL as a Secular AI Infrastructure Play Marvell is rapidly transitioning from a cyclical chip designer into an indispensable backbone for the global AI transition. 1. Top-Line Acceleration: Q1 FY2027 revenue reached $2.42 billion, beating estimates and proving the company's ability to scale. 2. Data Center Hyper-Growth: Data center revenue surpassed $6 billion in FY2026, and management expects this segment to grow ~40% year-over-year in FY2027, and approach 50% growth by FY2028. 3. Custom Silicon Ramp: The custom business doubled last year, is projected to grow over 20% this year, and is expected to double again by FY2028. Why am I buying it now? Initiating now captures a strategic entry point ahead of the late-August Q2 earnings report. After hitting a record $329 in June following its S&P 500 inclusion and public praise from Nvidia's CEO, the stock has pulled back to the ~$188 level. Securing this foundational semiconductor asset at a discount not only fortifies long-term equity growth but provides a highly liquid, volatile base perfectly suited for immediately writing covered calls to optimize risk-adjusted returns. Future Scenarios & Risk Assessment A. The Bull Scenario (Accelerated Adoption): Hyperscaler demand continues to outstrip supply, and Marvell's newly launched Teralynx T100 switch dominates the "greenfield" AI rack connectivity market. If the custom silicon segment hits its projected 100% year-over-year acceleration in FY2028, the stock could aggressively reclaim its summer highs and push towards $600 upper price targets. B. The Bear Scenario (Multiple Compression): The stock remains priced for flawless execution, trading at elevated forward multiples compared to peers like Broadcom ($AVGO ). Any execution delays in the optical interconnect rollout, or a broader slowdown in AI infrastructure spending, could trigger a multiple compression. Under these conditions, the stock could test the lower analyst support levels around $170.
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Finance Jack
Finance Jack@FinanceJack44·
5. $MA Mastercard is about as quality as it gets. Continual double digit revenue growth, 59% operating margins, and very little capital required to continue growing. Mastercard wins because consumers love it, creating a massive network effect that's near impossible to disrupt.
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Finance Jack@FinanceJack44·
5 QUALITY COMPOUNDERS TO BUILD A PORTFOLIO ON 1. $AMZN This one kind of speaks for itself. The moat is wide, the business is diversified, and growth looks to continue for years to come. The willingness of management to reinvest capital is what makes this business attractive. Nobody consistently reinvests like Amazon, which is why it has compounded so effectively.
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DVB@DeepValueBagger·
Kimi K3 is the new deepseek scare? Seriously guys, X gush over for the next few weeks then totally forget about it. People's behavior don't change like that. I'm still paying for gpt and claude subs and continue doing what I have always done with them. I have too much data and workflow tied to them. Most people have zero knowledge how to access K3 because it's not packaged like gpt and claude.
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Luminara Stocks@_stockResearch·
I experimented with Kimi K3 to find companies that, over a 20-year period, demonstrated: >15%+ compound annual growth rate (CAGR) across revenue, >15%+ CAGR across Earnings per share (EPS), and >15%+ CAGR across Free cash flow (FCF) There were only 5 companies: Here they are:
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Luminara Stocks@_stockResearch·
If you found this information useful, give your brother a follow 💕!
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Luminara Stocks@_stockResearch·
10: Other companies that didn't make it to the list: $COST $LIN $ASML $CDNS $SNPS
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