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NVDA Swing Trade – Overbought Reversal Setup (June 12, 2025)📉 NVDA Swing Trade – Overbought Reversal Setup (June 12, 2025) Ticker: NASDAQ:NVDA | Bias: 🔻 Moderately Bearish Strategy: Short-Term Swing | Timeframe: ~2 weeks Confidence: 75% | Entry Timing: Market Open Expiry: June 27, 2025 🔍 Market & Technical Snapshot • Price: ~$144.67 • Trend: Weekly and M15 uptrend still intact • RSI (Daily): ~70.63 → Overbought • MACD: Bearish crossover on Daily • Options Data:  – Heavy put OI at $140 (14,803 contracts)  – Max pain at $135 → potential pull lower  – High call OI at $145–$150 caps upside 🧠 AI Model Breakdown 🔼 Grok/xAI (Bullish Swing): • Calls out strong technicals, 5-min momentum • Suggests $155C for upside play 🔽 DeepSeek (Bearish Swing – Preferred): • Overbought daily RSI + bearish MACD • Strong put volume + options market pressure • Targets pullback to $138–$140 → PUT @ $140 ✅ Recommended Trade Setup 🎯 Direction: PUT 📍 Strike: $140 📅 Expiry: 2025-06-27 💵 Entry Price: $2.09 🎯 Profit Target: $3.10 (+48%) 🛑 Stop Loss: $1.25 (–40%) 📈 Confidence: 75% 📏 Size: 1 contract ⏰ Entry Timing: Market Open ⚠️ Risk Considerations • Weekly chart still bullish → risk of trend continuation • Low VIX (17.26) = slower option premium movement • Positive news surprise could cause upside gap • Use tight risk controls and monitor intraday structure 💭 NASDAQ:NVDA : Extended or just gearing up for another breakout? 📉 Drop your play below — Put buyers vs. breakout chasers 👇
NASDAQ:NVDAShort
by quantsignals
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)
NASDAQ:NVDALong
by basictradingtv
18
Is NVDA Building Strength Before a Breakout?After cooling off from its $150 highs, NVIDIA (NVDA) is consolidating in the $140–$145 zone. While some traders fear the AI hype has peaked, others see this as the calm before another rally. With solid fundamentals, continued leadership in AI, and strong institutional backing, NVDA remains a name to watch closely. 🎯 Trade Setup: Entry Points ✅ $142 – Current price zone (speculative buy) ✅ $135–$130 – Strong support (ideal swing entry) ✅ $125 (only if market-wide pullback occurs) Profit Targets 📈 TP1: $149 – All-time high retest 🚀 TP2: $160 – Extension target 💰 TP3: $175+ – Long-term bullish scenario if momentum returns 💡 Strategy: This is a “buy-the-dip, trade-the-breakout” setup. Wait for confirmation above $146 if you're conservative, or accumulate gradually into weakness with a clear risk plan. 📌 Disclaimer: This is not financial advice. Always do your own research and use proper risk management. I'm sharing my personal view for educational purposes.
NASDAQ:NVDALong
by Robert_V12
OKTA - DAY TRADE IDEAOKTA is setting up for a day trade scalp long...perhaps an aggressive swing trade as well. The day trade is a much higher probability of success around the $98.50-$99.30 Okta's stock has seen some volatility recently. After a strong rally earlier this year, it pulled back following cautious guidance from the company. Despite beating expectations on sales and earnings for Q1 fiscal 2026, investors were concerned about slowing growth, leading to a 14.6% drop in its stock price. Okta reported $688 million in revenue, a 12% year-over-year increase, and positive free cash flow of $238 million, but its GAAP earnings were significantly lower than its adjusted earnings. The company maintained its full-year revenue forecast of $2.85 billion to $2.86 billion, reflecting 9% to 10% growth, but analysts tempered their optimism due to macroeconomic uncertainties. Technicals - Multiyear Support - 50 % Fib Retrace - Upsloping Trendline - Positive Divergence building on 1/ 4 hour chart.
NASDAQ:OKTALong
by Trading-Capital
Potential Reversal Zone for NVDAThis chart of NVIDIA Corporation (NVDA) as of June 3, 2025, shows a technical analysis scenario forecasting a possible bearish reversal. The price action, zones, and arrows suggest a setup based on supply and demand zones. Key Elements in the Chart: 🔴 Supply Zone (Resistance Area) Location: Around $141.73 to ~$144 Observation: The price recently entered this red-shaded area, indicating strong historical resistance. Implication: The area is expected to act as a ceiling, where sellers may overwhelm buyers, causing a reversal. ⚫ Price Reaction: The chart shows price approaching and briefly piercing the supply zone, followed by a bearish candle or rejection (as indicated by the top arrow). Arrows project a downward movement, suggesting bearish sentiment. 🟢 Demand Zone (Support Area) Location: Approximately $114–$121 Observation: This green-shaded area acted as a base for a previous upward move. Implication: It is likely to act as a strong support if the price drops significantly. Projected Price Path: Short-term reversal from the resistance zone (~$144). Initial drop to mid $130s (likely a lower high or minor support). Continuation to demand zone around $116, completing the projected bearish move. Technical Interpretation: This setup is a classic supply and demand reversal strategy. Confirmation of the short setup may require: A clear rejection candle at resistance. Break of minor support levels on the way down. Risk for bulls is high near resistance; short sellers may find opportunities targeting the demand zone.
NASDAQ:NVDAShort
by ZareeFxTradingAac
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.
NASDAQ:NVDALong
by ProjectSyndicate
49
Bullish Intraday Patterns Everywhere!SPX had a wonderful intraday hourly chart confirmed breakout. This pattern is bullish and likely will continue higher. The bulls tomorrow would love to confirm the daily chart breakout and will try to push for that. SPY/SPX is holding more relative strength than the Q's & IWM which is displaying broad participation. There are many bullish charts showing accumulation, golden crosses and bullish MA crossovers. The DXY appears to be wanting to break down to around $97.00 which should yield more upside. We secured profits today on SPY 594 calls & NVDA 144 calls. We still remain net long and see the S&P 500 over $6000 Apple, XYZ, AI - are bullish setups were continuing to manage.
AMEX:SPY
by Trading-Capital
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: ## If you like our free content follow our profile to get more daily ideas. ## ## Comments and likes are greatly appreciated. ##
NASDAQ:NVDALong
by InvestingScope
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" }
NASDAQ:NVDAShort
by quantsignals
1
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. ------------------------------------------------------------------------------- ** Please LIKE 👍, FOLLOW ✅, SHARE 🙌 and COMMENT ✍ if you enjoy this idea! Also share your ideas and charts in the comments section below! This is best way to keep it relevant, support us, keep the content here free and allow the idea to reach as many people as possible. ** ------------------------------------------------------------------------------- 💸💸💸💸💸💸 👇 👇 👇 👇 👇 👇
NASDAQ:NVDALong
by TradingShot
4
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!
NASDAQ:NVDA
by TradingView
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