Nvidia Posts Another Blowout Quarter. What Can Slow It Down?Hint: Not much.
🚀 Earnings So Good You Can’t Ignore ‘Em
Another quarter, another jaw-dropper from Nvidia NVDA . In what has basically become a quarterly ritual at this point (congrats to all who celebrate!), Jensen Huang’s silicon empire posted revenue of $44.1 billion , soaring past the $43.3 billion consensus.
That’s a 69% year-over-year gain, in case anyone’s still doing the math. Adjusted earnings of 81 cents per share also easily crushed expectations.
Shares popped 5% in after-hours trading Wednesday and then pulled back a little bit during the cash session on Thursday — not quite a moonshot, but a confirmation that even if Nvidia’s guidance was meh, this earnings report was meh’gnificent.
So what exactly is fueling this unstoppable juggernaut? And is there anything that could actually throw a wrench in the gears? Grab your chips (there’s your pun), let’s break it down.
💾 Data Centers: The Company’s Cash Cow
If Nvidia is famous for anything, it’s that it’s really able to see the trend before the crowds pick it up. From gaming, to crypto… and now? The star of the show now is data centers. But there's not just any growth. We’re talking $39.1 billion in data center revenue, up 73% from last year. That’s nearly 90% of Nvidia’s entire business. Not exactly fans of revenue diversification, are we?
Big Tech is gorging on Nvidia’s AI chips like it’s an all-you-can-eat GPU buffet. Amazon NASDAQ:AMZN , Google NASDAQ:GOOGL , and Microsoft NASDAQ:MSFT alone account for nearly half of that segment.
Basically, if you’re building anything with the words “large language model,” “AI agent,” or “sovereign compute,” you’re probably writing big checks to Nvidia.
🇨🇳 About That $10.5 Billion Problem
Thanks to Trump’s H20 export ban, Nvidia’s revenue from China is expected to take a $10.5 billion hit over two quarters. That’s an $8 billion crater forecasted for the current quarter, on top of a $2.5 billion gap in the previous one.
Is that bad? Maybe. Does anyone care right now? Not really.
Because here’s the kicker: demand outside China is so nuclear that even subtracting ten billion bucks over six months doesn’t materially derail the bullish narrative. Nvidia’s still forecasting $45 billion in revenue this quarter, which is basically flat — but considering what’s missing, that’s a win in disguise.
📦 Blackwell to the Rescue
The forward guidance may have missed the Street’s expectations — Nvidia projected Q2 revenue of $44–$46 billion, versus the $45.9 billion consensus — but CEO Jensen Huang already served the antidote: Blackwell Ultra.
These next-gen chips are already shipping to early customers. They promise to be leaner, meaner, and more power-efficient — basically, think McLaren but for AI accelerators. And they’re expected to ramp up aggressively in the back half of the year.
That means Nvidia has a new growth lever just waiting to be pulled. Some overly bullish analysts say it could eclipse the H100’s success.
💡 The Real Moat? It’s Not Just the Chips
What makes Nvidia such a rare beast isn’t just its hardware. It’s the ecosystem — CUDA, software stacks, developer tools, APIs, vertical integrations. It’s like Apple, but for the AI industrial complex.
Everyone wants to build an AI empire, but good luck doing it without Nvidia’s infrastructure. It’s not just expensive — it’s essential.
In the meantime, AMD NASDAQ:AMD and Intel NASDAQ:INTC are trying. There’s chatter about custom silicon from OpenAI (still a private company) and Meta $META. But for now, the moat around Nvidia looks more like a canyon.
🧨 So What Could Slow It Down?
But let’s not get carried away — there are still some real risks on the radar. Here’s what might actually trip up the AI king:
Geopolitical shocks: More export bans? Chinese retaliation? Taiwan tension? Any of these could make markets twitchy.
Supply chain constraints: As demand grows, so does pressure on foundries like TSMC 2330 . Any hiccups in advanced packaging or wafer starts could pinch margins.
Rising competition: AMD’s MI300 is no slouch. And Big Tech is building in-house chips to lessen reliance on Nvidia.
AI fatigue: If the AI hype cycle fizzles out or hits a plateau (remember the metaverse?), that could cool capital spending. It only takes 3-4 tech titans to pull their capex and Nvidia’s reign is over.
But until any of that materializes, the narrative for many is "Buy the dip — Jensen’s grip won’t slip."
💫 What’s Priced In?
The stock’s P/E is still sky-high, and the multiple implies several more years of 50–60% annual revenue growth. That’s hard to sustain indefinitely. But then again, so was becoming the second-largest company in the world… (and the biggest one, if only for a while ) and here we are.
Nvidia’s valuation is steep, but not unjustified — as long as it keeps executing. And judging by any of the previous quarters going back to 2023, execution isn’t a problem.
👩🏻🚀 More Than a Stock — Macro Theme
At this point, Nvidia has transcended chipmaker status. It’s now a macro story. Betting on Nvidia is betting on AI. It’s betting on infrastructure. It’s betting on the next industrial revolution in software, automation, and language models.
So… what can stop it? Share your thoughts in the comment section!
NVDA trade ideas
Key Catalysts Driving Nvidia’s Stock Growth 2025 and BeyondKey Catalysts Driving Nvidia’s Stock Growth (Mid-2025 Onward)
Nvidia (NVDA) has solidified its position at the center of the AI computing boom, with record fiscal 2025 revenue of $130.5 billion (114% year-over-year growth) driven by surging demand for its AI chips. Looking ahead from mid-2025, multiple fundamental catalysts are expected to power further stock price growth. Below, we identify 10 primary forward-looking growth drivers for Nvidia, each ranked by expected impact (0 to 10) and analyzed with recent data, forecasts, and developments.
1. AI Chip Dominance – Strength: 10/10
Nvidia is the undisputed leader in accelerated AI hardware, commanding a dominant market share in data-center GPUs and AI chips. Its GPUs have become the backbone of modern AI – Nvidia “holds the pole position” in the AI ecosystem, with industry estimates showing it controls over 90% of the data-center AI processor market. This chip supremacy gives Nvidia tremendous pricing power and a virtuous cycle: more developers adopt its CUDA platform and hardware, further reinforcing its lead. As advanced AI models grow ever more complex, Nvidia’s top-of-the-line silicon (from the current Blackwell GPUs to upcoming architectures) remains the default choice for training and deploying cutting-edge AI, positioning the company to capture the lion’s share of the AI revolution.
2. Explosive Data Center AI Demand – Strength: 10/10
Skyrocketing demand from cloud giants and enterprise data centers for AI compute is a core growth engine for Nvidia. The company’s data-center segment has experienced exponential growth – in calendar 2023, Nvidia’s data center revenue surged by 409%– as hyperscalers raced to build out AI infrastructure for large-scale training and inference. This upward trend is expected to continue into 2025 as companies pour capital into AI-driven services. Notably, tech titans like Meta, Microsoft, Amazon, and Google have collectively pledged over $300 billion in 2025 AI-related capex, reflecting no slowdown in spending on AI servers.
Nvidia directly benefits, as its high-end GPUs (e.g. H100 and Blackwell) are heavily deployed for these AI workloads. In its latest quarter, Nvidia reported data center revenue of $39.1 billion (up 73% year-on-year – an astonishing run-rate driven by relentless orders from cloud providers. With customers reportedly maintaining or increasing their 2025 AI infrastructure plans, data-center demand remains an unparalleled catalyst for Nvidia’s growth over the next several years.
3. Mainstream AI Adoption Across Industries – Strength: 9/10
AI is rapidly becoming ubiquitous in business processes and consumer applications, translating to broad-based demand for Nvidia’s technology beyond the hyperscalers. “AI has gone mainstream and it’s being integrated into every application,” CEO Jensen Huang noted – from logistics and e-commerce to healthcare and finance, organizations are embedding AI to gain efficiency and insights. This everyday AI usage sustains high growth for Nvidia as enterprises large and small invest in AI capabilities, often via cloud services powered by Nvidia GPUs. The company is banking on this pervasive adoption (“AI…in delivery services everywhere, shopping services everywhere”) to drive continued revenue expansion.
Crucially, as AI moves into normal operations – such as automated customer service, supply chain optimization, and data analytics – demand shifts from one-off experimental projects to ongoing, scaled deployments. This creates a steady, secular tailwind for Nvidia’s AI platforms (both hardware and software) across virtually every industry. Analysts expect Nvidia’s revenue to keep rising at a healthy clip (UBS projects ~$147 billion by 2026, up from ~$27 billion in 2023f) precisely because AI adoption is broadening into a long-term, multi-industry growth cycle. In short, the “AI everywhere” era means sustained demand for Nvidia’s solutions well beyond the tech sector.
4. Strategic Partnerships & Alliances – Strength: 8/10
Nvidia has forged high-impact partnerships across tech, industry, and even nations, which amplify its market reach and create new revenue streams. Robust alliances with virtually all major technology players are central to Nvidia’s strategy, enabling it to deliver solutions at massive scale. For example, Nvidia expanded collaborations with cloud providers and enterprise software firms: Snowflake now integrates Nvidia’s full-stack AI platform to help customers build AI applications in the Data Cloud, and ServiceNow is co-developing enterprise AI agents with Nvidia’s tools to transform business workflows.
These deals embed Nvidia’s AI technology into popular platforms, driving indirect adoption of its chips and software. On the global stage, Nvidia is also partnering with governments and sovereign investment funds to supply AI infrastructure. In May 2025, Nvidia announced a major partnership with Saudi Arabia’s AI firm Humain (backed by the Saudi Public Investment Fund) to build out national AI infrastructure. In the first phase, Humain will purchase 18,000 of Nvidia’s advanced Grace Blackwell AI superchips for new Saudi data centers. Such large-scale deals not only yield immediate chip sales but also cement Nvidia’s position as the go-to provider for strategic AI projects. Overall, by teaming up with influential cloud vendors, software companies, automakers, and governments, Nvidia is seeding long-term growth opportunities far beyond what it could achieve alone.
5. Automotive & Autonomous Systems – Strength: 8/10
Nvidia’s push into automotive AI is expected to become a significant growth driver as the auto industry evolves toward self-driving, electrification, and software-defined vehicles. Nvidia’s automotive segment – which provides AI chips and software (Drive platform) for driver assistance and autonomous driving – grew 27% year-over-year recently and is considered the company’s next billion-dollar business line. The pipeline is robust: more than 25 vehicle makers (including EV leaders BYD, NIO, Lucid and stalwarts like Mercedes-Benz, Volvo, Jaguar Land Rover) have adopted the NVIDIA DRIVE system-on-chip for their next-generation cars. Starting in 2025, all new Jaguar Land Rover models will be built on Nvidia’s Drive AI platform (from cloud training to in-car chips), and Mercedes is rolling out Nvidia-powered “Hyperion” AI computers in its 2024 models.
These design wins translate to multi-year revenue streams in hardware and software (through NVIDIA’s DRIVE OS and AI cockpit software). As vehicles become “computers on wheels” requiring sophisticated AI for perception and decision-making, Nvidia is uniquely positioned with its automotive-grade Orin/Atlan chips and full software stack. Additionally, Nvidia’s technology is expanding into robotaxis, trucking, and autonomous industrial machines, tapping markets beyond passenger cars. While automotive AI revenue is smaller today than data center, its growth trajectory (with a design-win pipeline exceeding $11 billion over 6 years makes it a strong catalyst moving forward – effectively adding a new vertical to Nvidia’s growth profile as self-driving capabilities proliferate.
6. Expanding Software Ecosystem & Platforms – Strength: 9/10
A critical (and often underappreciated) driver of Nvidia’s success is its full-stack software ecosystem, which greatly extends its reach and creates a sticky moat around its hardware. Nvidia has spent years developing software frameworks, libraries, and tools (from the CUDA programming platform to AI frameworks like TensorRT and NVIDIA AI Enterprise) that are custom-built for its chipsets. This tight integration means anyone building AI, HPC, or graphics applications can leverage Nvidia’s optimized software to get superior performance – but in doing so, they become tied into Nvidia’s platform. For example, CUDA has become the de facto standard for GPU computing, with countless applications and machine learning models written for Nvidia GPUs.
The result is a virtuous ecosystem: over 4 million developers now work with Nvidia’s SDKs, and the company continually updates its software (e.g. CUDA Toolkit, cuDNN, Triton inference server) to support new AI breakthroughs. Beyond enabling hardware sales, software is becoming a direct revenue stream. The NVIDIA AI Enterprise suite – a cloud-native AI software platform dubbed the “operating system for enterprise AI”– is sold via licenses and subscriptions to corporations deploying AI. Likewise, Nvidia’s DGX Cloud offering provides its AI infrastructure “as-a-service” via cloud partners, contributing to nearly $1 billion in annual recurring revenue already. By expanding its software stack and services, Nvidia not only locks in customers, but also moves up the value chain. This software-centric strategy is a powerful catalyst: it boosts margins, fosters customer loyalty, and opens Nvidia to growth beyond chip sales – for instance, through AI cloud services, enterprise support contracts, and developer platform fees – all of which support a higher long-term valuation.
7. Omniverse and Digital Twin Leadership – Strength: 7/10
Nvidia is spearheading the use of AI and graphics in simulation, positioning its Omniverse platform as the standard for industrial metaverse applications and digital twins. Omniverse is a real-time 3D simulation and collaboration platform that enables companies to create virtual worlds – “digital twins” of products, factories, cities, and even data centers – with physical accuracy. This initiative is forward-looking and strategic: it drives demand for Nvidia’s professional GPUs and AI software as more industries embrace simulation for design, engineering, and operations. Recent developments underscore Omniverse’s momentum: at GTC 2025, Nvidia announced an expansion of Omniverse with major partners like Ansys, Siemens, SAP, and Schneider Electric integrating it into their solutions to build smarter factories, robots and AI-driven facilities.
In other words, leading industrial software providers are embedding Nvidia’s metaverse platform to help enterprise customers digitize their operations. The Omniverse allows engineers to visualize complex systems and test scenarios virtually – for example, designing a gigawatt-scale AI data center in simulation (including cooling and electrical systems) before building it in reality. Automakers use Omniverse to simulate autonomous driving; architects create virtual building models; manufacturers test production line changes in a risk-free virtual space. As this “industrial metaverse” trend grows, Nvidia’s early lead could yield a new ecosystem (and revenue source) of Omniverse software subscriptions, cloud services, and associated hardware sales. While still emerging, the platform’s potential is significant – it extends Nvidia’s reach into every field that uses simulation or 3D design, leveraging its core strengths in graphics and AI. In the coming years, Omniverse-driven demand for GPUs (for rendering and physics simulation) and software could become a notable catalyst augmenting Nvidia’s more mature segments.
8. Continuous Innovation and Product Roadmap – Strength: 9/10
Nvidia’s planned GPU hardware roadmap through 2027 (Ampere/Hopper to Blackwell to Rubin architectures) demonstrates its aggressive cycle of innovation, with each generation delivering major leaps in AI performance.
A key reason Nvidia maintains its edge is relentless R&D yielding regular leaps in performance – a pipeline of new GPUs and systems that keep customers upgrading. The company’s roadmap beyond mid-2025 is packed with heavyweight launches. Its current flagship data-center GPU family, Blackwell, only ramped production in early 2025, yet Nvidia is already preparing the next architecture, codenamed “Rubin,” for 2026. CEO Jensen Huang has affirmed that Blackwell Ultra GPUs (a mid-cycle upgrade with faster memory and networking) will debut in late 2025, followed by the next-generation Rubin GPU platform shortly thereafter. Partners are “getting up to speed” on Rubin, which is expected to provide a “huge step up” in AI capability. In fact, Nvidia has outlined a cadence of major launches every even year (2024 Hopper → 2026 Rubin → 2028 Feynman, etc.), with incremental updates on odd years. This rapid pace matters for the stock: each new generation spurs a replacement cycle as cloud firms, enterprises, and supercomputing centers upgrade to unlock higher efficiency.
For instance, the Blackwell-based systems offer up to 1.5× the performance of the prior Hopper chips, and Rubin is expected to jump even further, enabling more advanced AI models (critical as the industry chases artificial general intelligence). Nvidia’s ability to consistently deliver order-of-magnitude improvements – e.g. through more memory (HBM4E), faster interconnects, and specialized AI cores – encourages customers to expand their Nvidia-powered infrastructure. In turn, it deters competitors who struggle to match Nvidia’s R&D breadth. This continuous innovation cycle ensures that as AI workloads grow, Nvidia will have the cutting-edge products ready – keeping demand (and revenue growth) on an upward trajectory.
9. Full-Stack Expansion (CPUs, DPUs & Networking) – Strength: 8/10
Nvidia is evolving from a pure GPU vendor into a full-stack data center platform provider, expanding into CPUs, networking, and data processing units (DPUs). This strategic broadening of its product portfolio substantially increases Nvidia’s addressable market and lets it capture more value per system. Notably, Nvidia’s homegrown CPU (central processor), codenamed Grace, began shipping to customers in 2024–2025. Grace is a high-performance Arm-based CPU designed to pair tightly with Nvidia GPUs, capable of handling enormous data flows between chips – a crucial advantage for AI and HPC workloads. By offering its own CPU, Nvidia can sell complete server platforms (CPU+GPU) and optimize the whole system for AI. Jensen Huang highlighted that integrating GPUs with CPUs can boost computing speeds by 100× while only tripling power usage, underscoring the efficiency gains of Nvidia’s full-stack approach.
Alongside CPUs, Nvidia has invested in networking and interconnects (acquiring Mellanox in 2020) and now leads in ultra-fast data center networks. Its latest Spectrum-X switches and ConnectX/BlueField SmartNICs (DPUs) are built to alleviate data bottlenecks in AI supercomputers. Industry analysts predict rapid growth in this DPU/SmartNIC space (a ~$5.5 billion market by 2031), and Nvidia is well positioned to dominate it with BlueField. By selling DPUs and switches alongside GPUs, Nvidia ensures that AI clusters can scale out efficiently, which is a key selling point for cloud providers. Importantly, these moves encroach on traditional CPU and networking incumbents – every Nvidia Grace CPU or BlueField DPU sold potentially displaces a competitor’s chip, consolidating more of the data center stack under Nvidia. The full-stack strategy thus acts as a force-multiplier for growth: Nvidia can address virtually every component of AI infrastructure, from processing to networking to storage acceleration. As customers increasingly prefer integrated solutions, Nvidia’s ability to provide the “entire package” drives incremental revenue and strengthens its competitive moat in the AI infrastructure market.
10. Global AI Infrastructure & New Markets – Strength: 8/10
Nvidia’s growth is set to benefit from international expansion and a wave of government-driven AI infrastructure investments. Around mid-2025, export policies began to favor Nvidia’s business, widening its reachable market. The U.S. Commerce Department’s rollback of certain AI chip export rules in May 2025 removed restrictions on which countries Nvidia can sell advanced AI chips to, easing a headwind that had weighed on the stock earlier. This policy shift, coupled with surging interest in AI globally, has unlocked huge orders from new regions. For instance, the Middle East is emerging as a major AI hub: the United Arab Emirates reached a preliminary agreement with the U.S. to import up to 500,000 of Nvidia’s high-end AI chips per year starting in 2025 – a massive volume aimed at making the Gulf a “third AI power center” alongside the US and China. Similarly, Saudi Arabia has announced plans to invest hundreds of billions in tech and is buying a TON of Nvidia chips for its own “AI factories” as part of a $600 billion investment pledge in U.S. and AI infrastructure.
These moves reflect a broader “sovereign AI” trend: governments and enterprises worldwide are building domestic AI supercomputers (for national security, research, or competitive advantage) – and Nvidia is the go-to supplier for the requisite hardware. Additionally, markets like India, Southeast Asia, and Latin America are ramping up cloud data center builds and AI initiatives, representing new growth frontiers for Nvidia’s datacenter GPUs. Even in China – despite ongoing export controls – Nvidia has navigated restrictions by offering modified chips (like the A800/H800) to continue serving demand. Altogether, the global arms race in AI computing acts as a tailwind for Nvidia: it guarantees a steady stream of orders from across the world. With geopolitical allies now explicitly allowed (and eager) to procure Nvidia’s top chips, the company stands to fill the AI compute gap globally, driving revenue growth beyond the traditional U.S. customer base. In summary, expanding international markets and large-scale AI infrastructure projects are a catalyst that could propel Nvidia’s next phase of growth.
Sources: The analysis above incorporates information from recent Nvidia financial reports, press releases, and expert commentary, including Nvidia’s FY2025 earnings, CEO Jensen Huang’s statements on AI demand, analyst insights on spending and growth forecasts, and news of key deals and policy changes affecting Nvidia. These catalysts underscore Nvidia’s unique positioning at the intersection of AI hardware, software, and global adoption, suggesting that from mid-2025 onward, the company has multiple powerful growth drivers supporting its stock’s long-term trajectory.
NVIDIA Massive Cup and Handle targets $200.NVIDIA Corporation (NVDA) is pulling back aggressively following yet another positive Earnings report, where they beat the estimates again but the market is reacting with selling. That has been a 'norm' in the past 12 months but even from a technical standpoint, the price reached the 143.60 Resistance level (made of the February 18 High), so profit taking is technically normal market behavior here.
On the longer term however, this Resistance test potentially forms the top f a very powerful pattern, the Cup and Handle (C&H). At the moment, the market has the support of both the 1D MA200 (orange trend-line) and 1D MA50 (blue trend-line) and the Handle, which has just started, has some room to safely consolidate for a while before the pattern break-out upwards.
Technically, C&H patterns reach their 2.0 Fibonacci extensions after the break-out, so our medium-term Target is set at $200.
Notice also the Bearish Divergence on the 1D RSI, which is similar to that of late October 2024. A break below the 1D MA50 risks the bullish structure on this pattern.
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NVIDIA: Is Wall Street's AI Darling Still a Good Investment?When you hear the name NVIDIA, what comes to mind?
Chances are, you're thinking of gaming graphics cards, or perhaps the explosive rise of Artificial Intelligence. And you're not wrong — NVIDIA powers everything from ChatGPT to Tesla's self-driving tech. But behind all the hype, there's a more important question serious investors should ask:
“Is NVIDIA still a smart investment at this price?”
As a value investor who combines deep fundamental analysis with AI-powered tools, I’m going to walk you through a comprehensive breakdown of NVIDIA from a true value lens — one that strips away the hype and reveals the numbers that actually matter.
Whether you're a beginner trying to learn how to value stocks or a seasoned investor looking for clarity, this guide will change the way you think about investing in companies like NVDA.
Let’s dive in.
🧩 First: What Even Is NVIDIA?
To understand whether NVIDIA is a good buy, you first need to understand what it actually does — and why it’s considered one of the most powerful companies of our time.
👇 TL;DR – NVIDIA in 3 Sentences:
💲It builds the GPUs (Graphics Processing Units) that power video games, AI models like ChatGPT, and high-performance computing in data centers.
💲It dominates the AI infrastructure market, which is growing faster than nearly any other tech vertical.
💲It's now worth over $3 trillion, making it one of the most valuable companies in human history.
NVIDIA has become the "picks and shovels" of the AI gold rush. But just because a company is great… doesn’t mean it’s a great investment at any price.
🧠 Understanding Value: What Makes a Stock Undervalued or Overvalued?
Before we dive into numbers, let’s get one thing straight:
Value investing is not about buying cheap stocks. It’s about buying great businesses for less than they’re worth.
To determine whether NVIDIA is undervalued, I ran it through six professional-grade valuation models and created a weighted average fair value, factoring in both upside potential and risk.
These models include:
✅ Discounted Cash Flow (DCF)
✅ Price-to-Earnings Multiples
✅ PEG Ratios
✅ Graham Formula
✅ Dividend Discount Model
✅ Forward Earnings Forecasts
Sound complicated? It is. But I’ll walk you through every step — in plain English.
💵 Market Snapshot (as of June 2, 2025)
Current Stock Price: $137.38
Consensus Price Target (from analysts): $171.62
My Fair Value Estimate (weighted model): $152.83
Upside Potential: ~11% conservatively, up to 27% if analyst targets are correct
📊 Let’s Break Down the Valuation Models — One by One
1️⃣ Discounted Cash Flow (DCF)
Think of this like saying:
“If I owned the entire company, how much cash would it make me in the future — and what is that worth today?”
Assumptions:
Revenue grows at 5% annually (very conservative)
We use a 10% discount rate (standard)
Future cash flows are modeled out 10 years
📈 Fair Value from DCF: $140.00
2️⃣ P/E Multiples (Price-to-Earnings)
This method compares NVIDIA’s earnings to its price — kind of like asking, “How many dollars do I pay for each $1 in profit?”
The S&P 500’s average P/E is ~20–25. NVIDIA’s is higher because it’s a growth company.
📈 Fair Value from P/E: $160.00
Based on applying an industry-adjusted multiple
3️⃣ Forward P/E Valuation
Instead of looking backward at past earnings, this looks forward at projected earnings.
If a company is growing fast, this method often shows better value.
📈 Fair Value from Forward P/E: $150.00
4️⃣ Graham Formula (Ben Graham’s Classic Approach)
Ben Graham, Warren Buffett’s mentor, created this formula to calculate intrinsic value based on growth and earnings. You can read about Graham's formular here
We applied very conservative growth assumptions to avoid overestimating.
📈 Fair Value from Graham Formula: $145.00
5️⃣ PEG Ratio (Price/Earnings/Growth)
This tells us if the company’s price is justified based on how fast it’s growing. A PEG of 1.0 is considered fairly valued.
📈 NVIDIA PEG Ratio: 0.98
📈 Fair Value Estimate: $155.00
👉 Translation: It’s priced just right for its explosive growth
6️⃣ Dividend Discount Model (DDM)
This is only useful for mature companies that pay dividends. NVIDIA reinvests most of its profits, so this model gives a low valuation.
📉 Fair Value from DDM: $130.00
But we’ll only weight this lightly, since the dividend is tiny.
📊 Final Verdict: Average Fair Value = $152.83 (weighted by models)
Current price = $137.38
Undervalued by ~11% under conservative modeling
⚖️ How I Weighed the Models (And Why It Matters)
Not every valuation model should be treated equally. Some are better suited for mature, dividend-paying companies. Others shine when analyzing high-growth innovators like NVIDIA. That’s why I didn’t just average all six models — I assigned weights based on relevance and reliability for this specific company.
Here’s the logic behind each one:
🔹 Discounted Cash Flow (20%)
NVIDIA generates massive free cash flow and has excellent visibility into future earnings — which makes DCF one of the most grounded ways to assess its intrinsic value.
🔹 Price-to-Earnings Multiple (20%)
With strong profits and high margins, NVIDIA deserves comparison against peers in the semiconductor space. The P/E model helps anchor valuation in current profitability.
🔹 Forward P/E (10%)
Because NVIDIA is growing rapidly, it's important to consider how the market is pricing in future earnings. However, since forward estimates can be speculative, I assigned it a lighter weight.
🔹 Graham Formula (20%)
This classic value investing formula focuses on earnings and growth with a built-in margin of safety. It’s perfect for assessing quality businesses like NVIDIA using conservative assumptions.
🔹 PEG Ratio (15%)
NVIDIA is growing earnings at a blistering pace. The PEG ratio adjusts the P/E multiple based on growth, giving us a powerful signal of whether the stock is expensive or not — especially for growth companies.
🔹 Dividend Discount Model (15%)
Although NVIDIA pays a small dividend, it's not central to its investment case. I included the DDM for completeness, but gave it the lowest weighting because the company reinvests most of its profits into growth, not shareholder payouts.
By applying these weights, I wasn’t just looking for a single “right” answer — I was building a balanced, multi-lens perspective on fair value. The result? A composite intrinsic value of $152.83, backed by a methodology that respects both fundamentals and growth dynamics.
Now let’s zoom out and look at bigger signals of strength.
📚 Book Value Growth: The Hidden Gem Most People Miss
Let’s talk about something almost every retail investor overlooks — Book Value Per Share (BVPS).
Think of BVPS as the company’s “net worth per share.” It’s the raw value of what shareholders would receive if NVIDIA liquidated all its assets and paid off its debts. While most growth investors are obsessed with flashy revenue numbers and AI headlines, I always take time to peek under the hood — and what I found with NVIDIA is quietly impressive.
Over the past five years, NVIDIA has steadily built shareholder value. In 2020, its book value per share sat at just $5.00. But by 2024, it had grown to $12.50. That’s not a fluke — it’s a 20% compounded annual growth rate. That’s the kind of consistent, behind-the-scenes compounding that Warren Buffett dreams about.
Looking ahead, if that same growth trend continues, we could see BVPS hit around $31.00 by 2029. Apply a reasonable price-to-book multiple, and you’re staring at a potential valuation of $341.00 per share — a full 2.5x from today’s levels.
🔹 This isn’t hype. It’s quiet, compounding strength.
🔹 It’s what great businesses do while the world’s distracted by headlines.
🔍 The Metrics That Matter
Metrics are just numbers — until you know what they actually mean. Here’s how I interpret NVIDIA’s financial DNA.
🔹 P/E Ratio at 44.31 — Yes, it’s high. But when you’re growing earnings 40% per year, that multiple starts to make sense. Growth is expensive — but NVIDIA is earning its premium.
🔹 Forward P/E at 28.33 — This reflects what investors are willing to pay based on projected future earnings. It signals that Wall Street still sees upside.
🔹 Return on Equity (ROE) at 106.92% — That’s not a typo. NVIDIA is generating more than double its net income for every dollar of shareholder equity. This is an elite business, deploying capital like few others.
🔹 Debt-to-Equity Ratio at 0.50 — Leverage is low, which means less risk. NVIDIA isn’t overextending itself, even as it scales aggressively.
🔹 Earnings Growth of 40% over 5 years — Very few large-cap companies are compounding at this rate. This is what separates a fast mover from a long-term compounder.
🔹 Free Cash Flow of $30B — Cash is king. And NVIDIA is sitting on a throne. This level of liquidity gives them options — to reinvest, acquire, or return capital to shareholders.
These aren’t just stats to admire. They’re signals — and they all point in one direction: strength.
📰 What’s Happening Right Now?
In the short term, NVIDIA has had some turbulence, but its fundamentals remain rock-solid. Here's what’s shaping its current narrative:
🔹 Record-breaking Q1 Revenue: $44.1 billion — up 69% year-over-year. Yes, you read that right. That kind of acceleration is unheard of at this scale.
🔹 The Blackwell Era Begins: Their new generation of chips is designed for “reasoning AI,” setting the stage for a whole new wave of demand.
🔹 Geopolitical Friction: Export controls and restrictions on China are projected to cost NVIDIA roughly $8 billion in lost sales. That’s real. But it’s also being offset by explosive growth in other global markets.
🔹 Inventory Write-Down: A $4.5 billion hit due to inventory adjustments. It's a short-term bruise, not a structural fracture.
🔹 Still Crushing Expectations: Even with these headwinds, NVIDIA continues to beat estimates and outperform peers.
This is what execution looks like under pressure. The headlines might look shaky — but the engine is still roaring.
📈 Technicals: What Do the Charts Say?
Even if you're a fundamentals-first investor like me, it pays to respect the chart. Momentum reflects psychology — and right now, sentiment is riding high.
🔹 Key support level at $130 — buyers step in here consistently.
🔹 Resistance zones at $143 and $150 — breaking above these could trigger further momentum.
🔹 50-day moving average at $135 — the stock is trading above this line, suggesting strength.
🔹 Golden Cross + Bull Flag — classic technical signals of an uptrend continuation. Bulls are still in control.
When price action and fundamentals align — that’s when conviction turns into action.
🧠 Bottom Line: Should You Buy NVIDIA?
Let’s get honest.
NVIDIA is not a value trap. It’s a compounder — a business with the financials, growth, and market position to continue dominating for years.
Is it risky? Yes. All growth stories are.
But the data doesn’t lie:
✅ Strong balance sheet
✅ Massive cash flow
✅ Global AI leadership
✅ Undervalued by multiple models
Even conservative valuation models suggest NVIDIA is trading below its true worth.
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NVIDIA: 4H Golden Cross starting new Channel Up Leg.NVIDIA is bullish on its 1D technical outlook (RSI = 65.736, MACD = 5.860, ADX = 49.646) as it has established and maintained a Channel Up since its April bottom. The completion of a 4H Golden Cross has validated the start of the pattern's new bullish wave. The previous one topped at +30.58%. With the price already rebounding, we are bullish, aiming for a new HH (TP = 169.00).
See how our prior idea has worked out:
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$NVDA - head and shoulders + possible bull shark harmonicOn my chart, NVDA appears to be potentially forming a head and shoulders pattern.
At the same time, an almost perfect bullish shark harmonic woukd comple around the target for the head and shoulders pattern.
Could be something, could be nothing.
But I'll be careful and not spend my money on NVDA just yet.
Positive earnings might invalidate this idea and send NASDAQ:NVDA to the moon instead.
Let's see what happens.
NVDA Short time is Now using fractal geometry calculations This analysis suggests that NVDA may be entering a bearish phase based on recent price action. After an extended bullish run, the stock appears to be losing momentum, with signs of distribution emerging on the chart
. This could mark the beginning of a short-term or intermediate correction.
Nvidia - The breakout will eventually follow!Nvidia - NASDAQ:NVDA - will break out soon:
(click chart above to see the in depth analysis👆🏻)
Over the course of the past couple of days, we saw a quite strong rally of +50% on Nvidia. Considering the market cap of this company, such a move is quite impressive. Following this overall very strong bullish momentum, an all time high breakout is quite likely to happen soon.
Levels to watch: $150
Keep your long term vision!
Philip (BasicTrading)
NVDA Waiting for the Right DipAfter posting record earnings and riding the AI momentum wave, NVIDIA has finally started to cool off a bit and honestly, it’s healthy. The stock had a massive run, and now we’re seeing some consolidation, which could set up the next solid entry for those of us who didn’t chase the highs.
Here’s how I’m planning to approach it:
📍 Entry levels I’m watching:
Around $130 if we see a quick bounce off that zone.
If it dips further, I’m eyeing the $125–$118 area—lots of previous interest there.
And if things get really spicy, $112-108 would be a gift level for a strong entry.
🎯 Profit targets on the bounce:
$140 – First take profit, solid and realistic.
$145 – Next key level where sellers could show up.
$150 – Full recovery and possible breakout if momentum kicks back in.
I’m not in a rush to jump in. Let it come to the levels, confirm the move, and then ride it up. NVDA remains a beast long-term, but short-term patience pays.
Disclaimer: This is not financial advice—just sharing my personal trading game plan. Always do your own research and manage risk accordingly.
NVDA 4-hr Outlook1. Swept Weekly High with draw back into 4-hr gap up.
2. If price breaks below here, my target becomes the re-test of the 4-hr break due to the impulse move through that high.
a. WARNING: Need to watch for support on Weekly FVG and CE of 4-hr wick and support off .382 fib.
b. If target breaks below, then I would like long puts or sell calls into re-test of break as it shows rejection on the .25 fib line.
3. As we re-test this area I would like to see full support into the .50 fib/FVG.
a. Why? Confluence with FVG and Fib
b. Want to see a hammer style candle indicating support
SHORT Nvidia, Bearish Chart Setup, Resistance ConfirmedThe resistance from 21-May has been confirmed 28-May.
The same level has been working as resistance since 14-May.
After two weeks, this resistance level continues to hold and it is now confirmed.
In November 2024 NVDA produced a high.
Later in January 2025 NVDA produced an all-time high.
18-February 2025 NVDA went to produced a lower high; a rejection that led to a major drop.
The major drop resulted in a recovery and the recovery found resistance earlier this month. This resistance, the same from 14-May, 21 and 28-May, is also a lower high compared to the previous levels just mentioned.
The signal here is double: (1) Resistance confirmed and (2) a lower high.
There is one more. 28-May produced a volume breakout day. The day ended up closing red. So, Nvidia is confirmed bearish now.
Thank you for reading.
Namaste.
NVDA Just Broke Structure – Bounce or Breakdown Incoming?📊 NVDA GEX Daily (Options Sentiment Overview)
NVIDIA ( NASDAQ:NVDA ) closed at $135.13, down nearly 3% on Friday, and has now pulled back from the gamma resistance cluster between 140–145. GEX sentiment is cooling, and the chart shows we just lost the HVL (High Volume Level) around 137.5, putting bulls in a tricky spot.
GEX Levels to Know:
* 🟢 Positive gamma stack at 140 → 145 → 150, with 143.9 as the next key magnet IF price recovers.
* 🟥 Heavy dealer put interest below 134 → 130 → 125; GEX sharply negative down there.
* 🧊 IVR 10.2 = super cheap options → ideal setup for directional trades using debit spreads.
💡 Options Strategy:
* Bullish: If NVDA reclaims 137.5, play for bounce back to 140–143. Look at Jul 19 140c or 137.5/145c spread.
* Bearish: If it fails to reclaim 135 and breaks 133.25, play toward 130–131. Look at Jul 19 132p/125p vertical.
Dealers may flip short under 133, increasing the chance of acceleration if support breaks.
🕵️♂️ 1H Chart Breakdown (Swing/Intraday View)
The 1-hour chart tells a clear story: NVDA broke short-term structure with CHoCH and BOS under 135, and is now channeling downward with a falling wedge-type pattern. The SMC supply at 143–145 held strong.
Key Notes:
* ⚠️ Breakdown from rising structure, now forming new bearish channel.
* 🟩 Short-term CHoCH support near 133.25 is key — if lost, opens 130 fast.
* 🟣 Momentum + RSI screaming overbought → likely a lower high if it bounces to 138 area.
📈 Swing Setup:
* Short bias while under 137.5.
* Entry: rejection near 136–137
* Target: 133.2, then 130.4
* Bull case only resumes if we reclaim 138 clean → invalidates the breakdown.
📊 Intraday Playbook:
* Short bounce into 136.25–137.5 (previous BOS zone).
* Long scalp bounce off 133.25, but only for short-term risk-controlled play.
Bias = Bearish unless 137.5 is reclaimed. Don’t fight the momentum.
🧠 Final Thoughts
NVDA has shifted from leader to potential drag — at least near term. The structure is broken, and GEX is aligning with downside momentum. IV is cheap, making this a great week for defined-risk option plays, whether you’re looking to fade pops or scalp breakdowns.
⚠️ Disclaimer:
This content is for educational purposes only and is not financial advice. Always do your own research and manage risk before trading.
NVIDIA(NVDA) Jackpot – Thief Trading Blueprint for Fast Profits!🚀 NVDA Stock Heist: The Ultimate AI Gold Rush (Scalping/Day Trade Plan)
🌟 Hey there, Market Pirates! 🏴☠️💰
Thieves, Traders, and Money Makers—gather around! Based on the 🔥Thief Trading Style🔥, here’s our master blueprint to loot NVIDIA’s AI-fueled rally. Follow the strategy on the chart—long entry is LIVE! Our escape? Near the high-risk Resistance Zone. Overbought? Consolidation? Reversal trap? Bears are lurking, but we’re stealing profits first! 🎯💸
🎯 Entry (The Vault is Open!)
"Swipe the AI gold at any price—the heist is ON!"
Pro Tip: Use buy limits within 15-30min near swing lows/highs for pullback entries.
🛑 Stop Loss (Thief’s Escape Route)
SL at recent swing low (4H timeframe)—adjust based on your risk & lot size.
Scalpers/Day Traders: Tighten SL if stacking multiple orders.
🏆 Target 🎯: 165.00 (The AI Jackpot!)
📈 Why NVDA?
Bullish momentum from AI dominance, earnings hype, and institutional FOMO.
Tech sector strength + chip demand = THIEF’S PARADISE.
📰 Fundamental Heist Intel
Need macro trends, sentiment, and intermarket analysis? 🔗 Check our bioo for the full robbery toolkit.
⚠️ Trading Alert: News & Position Control
Avoid new trades during earnings/news—volatility kills heists!
Trailing SLs = Locked profits. Don’t get greedy!
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NVDA (NVIDIA) False Breakout and Synchronized Pullback with SPYNVDA printed what appears to be a false breakout at the 1.0 Fib extension level ($143.49), now reversing sharply — potentially aligning with SPY's projected retracement. This presents a high-probability mean reversion setup.
📉 Technical Breakdown
Current Price: $135.13
False Breakout Zone: 1.0 Fib extension ($143.49)
Key Breakdown Zone: 0.786 Fib ($133.12)
Probable Retest Zones:
0.618 Fib: $124.98
0.5 Fib: $121.25
Target: $119.25 (confluence with SPY's demand zone)
🔍 Probabilistic Trade Outlook
⚠️ False breakout + bearish engulfing = 80% probability of continued downside.
📉 Targeting $119.25 = 65% probability as it aligns with institutional levels and SPY’s projected retrace.
💡 Volume and momentum suggest profit-taking and supply absorption.
🌐 Macro Context (May 31, 2025)
AI bubble cooling: Rotation from AI mega caps into broader market value plays.
SPY & NVDA correlation: NVDA typically leads tech-heavy indices — the confluence here could signal broader market pullback.
Fed Policy Uncertainty: No rate cut priced in for June; July will be key.
🧠 Institutional View
This setup echoes the "buy-side trap" — liquidity engineered above previous highs, now reversing to collect resting orders below. This is textbook Smart Money Concepts (SMC) in play.
🧭 Trade Setup
Entry: On confirmed breakdown below 0.786 ($133.12)
Target: $119.25
Stop: $143.60 (above fakeout zone)
Optional Re-entry: Near 0.618 ($124.98) on confirmation
📌 If NVDA hits the $119–121 zone in confluence with SPY’s bounce region, a high-R:R reversal trade may follow.
#NVDA #FibonacciLevels #SmartMoney #LiquiditySweep #TechStocks #MarketReversal #AIStocks #TradingView #WaverVanir
NVDA Weekly Options Outlook — June 1, 2025📉 NVDA Weekly Options Outlook — June 1, 2025
🚨 AI Model Consensus: Lean Bearish Into 6/6 Expiry
🧠 Model Breakdown
🔹 Grok (xAI)
Bias: Short-term bullish (above 10/50 EMA on M5), but below 200 EMA.
Indicators: RSI ~63, MACD weakening on daily.
Sentiment: Falling VIX + AI buzz, but $133 max pain caps upside.
Trade: Buy $141C @ ~$0.94 → Target +50%, SL 50%
Confidence: 70%
🔹 Claude (Anthropic)
Bias: Slightly bullish.
Indicators: Price above 10EMA, below 200EMA; MACD weak, RSI neutral.
Sentiment: Call/put OI split, max pain $133.
Trade: Buy $140C @ $0.96 → Target +55–75%, SL $0.50
Confidence: 72%
🔹 Gemini (Google)
Bias: Bearish.
Indicators: Bearish MACD crossover; upper Bollinger rejection.
Sentiment: Positive news priced in.
Trade: Buy $128P @ $0.73 → Target +75–100%, SL 50%
Confidence: 65%
🔹 Llama (Meta)
Bias: Moderately bearish.
Indicators: MACD fading; under EMAs on M5.
Trade: Buy $133P → Target +50%, SL above $136.35
Confidence: 70%
🔹 DeepSeek
Bias: Bearish.
Indicators: MACD bearish crossover; momentum fading.
Trade: Buy $132P @ $1.65 → Target +100%, SL 50%
Confidence: 65%
✅ Consensus Takeaways
🎯 Max Pain: $133 is the focal level across all models.
🟢 VIX down; sentiment positive, but momentum fading.
📉 Daily MACD across models turning bearish.
⚠️ Bullish calls (Grok/Claude) vs. bearish puts (Gemini/Llama/DeepSeek).
🔍 Recommended Trade This Week
💡 Bearish Play: NVDA Weekly Put (Exp: 2025-06-06)
💵 Entry: $1.66
🎯 Target: $2.49 (+50%)
🛑 Stop: $0.83 (−50%)
🔢 Size: 1 contract
⏰ Entry Timing: Market open (Monday)
📈 Confidence: 65%
⚠️ Risks to Watch
🚀 AI catalyst could reverse thesis and rally price fast
⏳ Time decay will eat premium—move needed early
🕳️ Opening gaps could get filled fast—use limit orders
🔄 Max pain ≠ magnetic level—watch price action around $133 closely
📊 TRADE DETAILS (JSON)
json
Copy
Edit
{
"instrument": "NVDA",
"direction": "put",
"strike": 132.0,
"expiry": "2025-06-06",
"confidence": 0.65,
"profit_target": 2.49,
"stop_loss": 0.83,
"size": 1,
"entry_price": 1.66,
"entry_timing": "open",
"signal_publish_time": "2025-06-02 09:30:00 UTC-04:00"
}
NVIDIA Stock Weekly Outlook: Support Holds Strong as $185 TargetThe weekly chart of NVDA shows a strong continuation pattern forming after a period of consolidation and a healthy pullback. The recent price action confirms a bullish stance, with a fresh bounce off support and momentum gradually shifting in favor of the bulls.
________________________________________
Long-Term Uptrend Confirmed
The blue ascending trendline drawn from early 2023 remains intact, showing that the overall trend is still bullish. NVDA has respected this trendline multiple times, with each touch followed by a renewed upward move. This week, the price rebounded once again near this trendline, confirming its role as dynamic support and signaling renewed buying interest.
________________________________________
Resistance and Breakout Potential
The key resistance level is marked at $152.98, which represents the recent weekly high and a psychological barrier. This level has acted as a ceiling in past attempts, but the current structure and momentum suggest a potential breakout if volume confirms. Above this level, there's clear air up to $185, where the next major resistance sits, and which also acts as the projected target in this trade setup.
________________________________________
Support Holding Strong
A strong support zone around $93.40 is clearly defined and has already triggered multiple rejections. NVDA recently saw a sharp bounce from this zone after a downward rejection, signaling that institutional buyers may be active here. This area is the foundation of the current bullish case.
________________________________________
Momentum Turning Favorably
The True Strength Index (TSI), shown at the bottom of the chart, is emerging from a low region. While not yet fully bullish, the indicator is starting to turn upward, suggesting early signs of momentum building. If TSI crosses above the midline in coming weeks, it could confirm the start of a sustained upward move.
________________________________________
Trade Setup
• Entry Zone: $138 to $140 (current price range)
• Stop-Loss: $110 (beneath the last significant swing low)
• Target: $185 (aligns with the next major resistance and top of risk-reward box)
• Risk-Reward Ratio: Approximately 1.5:1
• Setup Bias: Swing to mid-term bullish continuation
________________________________________
Conclusion
NVIDIA’s weekly chart is aligning in favor of the bulls after a healthy consolidation and support retest. The price remains within a strong uptrend channel, and momentum is gradually improving. A breakout above $152.98 would likely attract more volume and set the stage for a rally toward $185. The risk-reward setup is favorable, making this a strong candidate for bullish swing positioning heading into Q3 2025.
NVIDIA Nvidia Stock Correlation with 10-Year Bond Yields, Bond Prices, and Interest Rates
1. Correlation with Bond Yields and Interest Rates
10-Year Bond Yields: Nvidia’s stock (NVDA) has shown mixed sensitivity to bond yields. Rising yields (e.g., 30-year yields surpassing 5% in May 2025) historically pressured tech stocks by increasing discount rates for future earnings. However, Nvidia’s AI-driven growth narrative has partially offset this, as seen in its 69% YoY revenue surge in Q1 2025 despite bond market volatility.
Interest Rates: The Fed’s rate cut expectations (priced for September 2024 and beyond) have supported risk assets like Nvidia. Lower rates reduce borrowing costs for AI infrastructure investments, indirectly benefiting NVDA.
2. Factors Driving Revenue Growth in 2025
AI Infrastructure Spending:
Cloud providers (Microsoft, Amazon, Alphabet) invested $50B+ in Q2 2025 on AI infrastructure, with Nvidia capturing 70–95% of the AI chip market.
Data center revenue hit $39.1B in Q1 2025 (+142% YoY), driven by demand for Hopper and Blackwell GPUs.
Blackwell GPU Launch:
The Blackwell GB200 GPU, offering 30x faster AI inference, is projected to generate $45B+ in FY2025 revenue as production scales.
Market Share Expansion:
Nvidia’s semiconductor market share tripled since 2020 to 7.3%, overtaking Intel and Samsung in key segments.
3. Upcoming Challenges
Export Restrictions in China:
Export controls cost Nvidia $8B in Q1 2025 revenue and could erase $15B annually if unresolved. The H20 chip’s limited performance further strains China-market competitiveness.
Competition and Market Saturation:
AMD and Intel are accelerating AI chip development, while cloud providers design in-house alternatives (e.g., Google’s TPU).
Valuation and Volatility:
NVDA’s 30% stock correction in July 2024 highlighted sensitivity to AI spending concerns. Analysts warn of “exuberance fatigue” as earnings growth slows from triple-digit to 45% YoY.
Macro Risks:
Rising Treasury yields (e.g., 10-year at 4.54%) and federal debt concerns ($36T) could divert capital from tech to bonds.
Summary Table
Factor Impact on Nvidia Stock (NVDA) Source Citations
10-Year Yield ↑ Mixed (pressure from discount rates vs. AI growth)
Interest Rate Cuts Positive (supports tech spending)
AI Spending Major revenue driver ($115B data center sales)
China Export Curbs $8B–$15B annual revenue risk
Competition Threatens market share (AMD, in-house chips)
Nvidia's stock (NVDA) currently shows a mixed correlation with 10-year US Treasury bond yields amid recent market shifts. While rising bond yields typically pressure high-growth tech stocks like Nvidia by increasing discount rates on future earnings, Nvidia’s strong earnings and dominant position in AI hardware have helped it partially decouple from this trend.
Recent Data: Nvidia’s stock price is around $135 (down ~3% on the day), reflecting some volatility after a strong rally earlier in 2025 fueled by stellar AI-driven revenue growth.
Bond Yields Context: The US 10-year Treasury yield recently hovered near 4.49% to 4.54%, with 30-year yields surpassing 5% amid fiscal concerns. Rising yields generally increase borrowing costs and discount future earnings, which can weigh on Nvidia’s valuation.
Market Reaction: Despite higher yields, Nvidia’s shares rallied after strong earnings and optimistic guidance, suggesting investor confidence in its AI growth story offsets some bond market pressure.
Volatility and Risks: The stock remains sensitive to macroeconomic factors such as rising yields, trade tensions, and export restrictions impacting China sales. Nvidia’s price movements often reflect the balance between its growth prospects and broader market risk sentiment influenced by bond yields.
In summary, Nvidia’s stock and bond yields currently exhibit a partial inverse correlation, but Nvidia’s unique growth drivers in AI technology have softened the typical negative impact of rising yields on its stock price. Investors continue to watch bond yield trends closely, as sustained increases could cap further gains or increase volatility in Nvidia shares.
Conclusion
Nvidia’s stock remains buoyed by AI demand and Fed rate cut optimism but faces headwinds from bond yield volatility, China restrictions, and competition. While its $44.1B Q1 2025 revenue underscores dominance, sustaining growth requires navigating export rules and proving Blackwell’s long-term profitability. Investors should monitor bond market shifts and AI spending trends for directional cues.
#NVIDIA #STOCKS #BONDS #DOLLAR
NVIDIA 1D — When “Head & Shoulders” Aren’t Just for the GymOn the daily chart, NVDA has broken out of the descending channel and reclaimed the 50-day moving average (MA50), triggering a classic inverted head and shoulders formation. Price is now holding above the key $113–$114.50 zone, confirming a structural shift. As volume picks up, buyers are eyeing the next levels of resistance.
Near-term upside targets: – $119.80 (0.5 Fibonacci) – $127.62 (0.382) – $137.28 (0.236) — primary resistance zone – Extended target — $152.91 (1.0 Fibonacci projection)
Technical setup: — Breakout from channel + above MA50
— Inverted head and shoulders pattern completed
— $114.50–$118.00 now acts as buyer support
— EMA and MA convergence supports trend reversal
— Increasing volume on rallies supports bullish momentum
Fundamentals: NVIDIA remains the AI and semiconductor sector leader. Growing demand for high-performance GPUs in AI and data centers positions NVDA as a core tech play. Expectations of strong earnings and continued institutional accumulation support the bullish narrative.
The confirmed breakout and inverted H&S setup mark a clear structural reversal. As long as price stays above $114.50, the path toward $127–$137 remains the primary target zone, with $152.91 in sight if momentum continues.