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NVDA 🚨 Nvidia Smashes Records on AI! 🚨 NASDAQ:NVDA 🚀 Delivered spectacular results for Q3, reporting revenue of $35.1 billion (+94% YoY) and adjusted EPS of $0.81, significantly beating expectations. The company also forecasts sales of $37.5 billion for next quarter, solidifying its position as a leader in the AI revolution. 💻 Key Highlights ▫️ Data Center🟰 $30.8 billion (+112% YoY), driven by demand for advanced chips like “Blackwell.” ▫️ Gaming🟰 $3.28 billion (+8% YoY), fueled by GPUs for PCs and consoles like the Nintendo Switch. ▫️ Automotive & Robotics🟰 $449 million (+72% YoY), led by autonomous vehicle and robotics chips. 🎯 Nvidia by the Numbers Stock Performance in 2024🟰 Nearly tripled. AI Chips🟰 Hopper and Blackwell models are in high demand, with sales expected to outpace supply into 2025.
NASDAQ:NVDA
by Mariofxtr
Nvidia 🚨 Nvidia Smashes Records on AI Boom! 🚨 NASDAQ:NVDA delivered spectacular results for Q3, reporting revenue of $35.1 billion (+94% YoY) and adjusted EPS of $0.81, significantly beating expectations. The company also forecasts sales of $37.5 billion for next quarter, solidifying its position as a leader in the AI revolution. 💻 Key Highlights: Data Center: $30.8 billion (+112% YoY), driven by demand for advanced chips like “Blackwell.” Gaming: $3.28 billion (+8% YoY), fueled by GPUs for PCs and consoles like the Nintendo Switch. Automotive & Robotics: $449 million (+72% YoY), led by autonomous vehicle and robotics chips. 🎯 Nvidia by the Numbers: Stock Performance in 2024: Nearly tripled. AI Chips: Hopper and Blackwell models are in high demand, with sales expected to outpace supply into 2025.
NASDAQ:NVDA
by Mariofxtr
Nvidia 🚨 Nvidia Smashes Records on AI Boom! 🚨 NASDAQ:NVDA delivered spectacular results for Q3, reporting revenue of $35.1 billion (+94% YoY) and adjusted EPS of $0.81, significantly beating expectations. The company also forecasts sales of $37.5 billion for next quarter, solidifying its position as a leader in the AI revolution. 💻 Key Highlights: Data Center: $30.8 billion (+112% YoY), driven by demand for advanced chips like “Blackwell.” Gaming: $3.28 billion (+8% YoY), fueled by GPUs for PCs and consoles like the Nintendo Switch. Automotive & Robotics: $449 million (+72% YoY), led by autonomous vehicle and robotics chips. 🎯 Nvidia by the Numbers: Stock Performance in 2024: Nearly tripled. AI Chips: Hopper and Blackwell models are in high demand, with sales expected to outpace supply into 2025.
NASDAQ:NVDA
by Mariofxtr
NVDA Predictive Modeling Outlook : Pre Earnings 11-20-24I thought I would have a little fun with my ADL Predictive Modeling system. This shows the Daily & Weekly predictive results for NVDA prior to the earnings data release. Have fun. This is really just to show you how the ADL system works and to test the outcome related to NVDA's earnings/outcome. Get some.. #trading #research #investing #tradingalgos #tradingsignals #cycles #fibonacci #elliotwave #modelingsystems #stocks #bitcoin #btcusd #cryptos #spy #es #nq #gold
NASDAQ:NVDAShort
by BradMatheny
NVIDIA’s Next Move: Ready to Rally or Slip Lower?Good morning, trading family! Let’s take a simple look at NVIDIA (NVDA) and where it might be headed from here. We’re at an important crossroads, so here’s what we’re watching: If NVDA Moves Higher: If NVDA can hold its current position, it has room to drive up into the $150 range. This could signal that buyers are stepping in and momentum is building for a rally. If NVDA Moves Lower: A drop could take us to the following key levels: $144: First potential stop for support. $138–$137: A zone where buyers might try to step in. $132: A deeper pullback that could see some consolidation. $129 and $120: These are lower support areas to watch if selling pressure continues. How to Approach This: Mark These Levels: Add them to your chart for reference. Wait for Confirmation: Don’t rush in—see how NVDA reacts at each level. Trade What You See: Let the price action guide you, not your emotions. We’re at a moment where NVDA could make a strong move in either direction. Keep it simple, stay patient, and watch the levels. Let’s make it a great trading day! Mindbloome Trading // Kris
NASDAQ:NVDA
by Mindbloome-Trading
NVDA in a rising wedge, bearish before earningswww.tradingview.com I have no doubt about NVDA's fundamentals and I'm bullish on the stock on the long-term. However, from a technical analysis perspective, the stock is showing signs of fatigue with a steadily declining 20-day average volume over the past several months. A clear divergence between volume and price suggests a potential reversal after the earnings release. Generally, after a 194% YTD performance and a broadening of the market since the US election, investors may take profits, which could lead to a pullback in the stock. On the chart, NVDA is currently within a rising wedge, which could see it either hit the lower boundary and rebound or break down and find support at previous levels. I'm not currently invested, but I'm preparing to potentially short the stock after the earnings release, post-market.
NASDAQ:NVDAShort
by EmmaInvests
Nvidia Q3 24 Earnings in Focus Q3 24 earnings for Nvidia (Nasdaq; ticker: NVDA) – a leader in the artificial intelligence (AI) chip and data centre solutions market – and the company’s Q4 forward guidance will be released after the market closes today. Over the past two years, Nvidia's performance has been nothing short of remarkable, resulting in substantial growth in both share price and company revenue. The Q2 24 earnings announcement revealed that data centre growth jumped to US$26.3 billion, rising 16% from Q1 24 and was up more than 150% compared to a year ago (Q2 23). This also helped fuel record quarterly revenue, rising 122% (US$30.0 billion) from a year ago (Q2 23). The company’s bottom line – net income – doubled to nearly US$17 billion in Q2 24, compared to a little over 6US$ billion a year ago (Q2 23). Earnings for Nvidia are set to be reported for the fiscal quarter ending on October 31 of this year. This event is highly anticipated on Wall Street, with significant expectations from investors. According to analysts at Bank of America (BofA), the results could influence the short-term direction of the US stock market. Notably, Nvidia has contributed to approximately 20% of the returns in the S&P 500 over the past year. Therefore, today’s earnings release will likely impact stock market indexes, with implied options suggesting a potential 10% swing in the company’s share price following the earnings announcement. Earnings will take centre stage, and the company's forward guidance will also be significant. Investors will be particularly focused on margin and market share levels to see if they remain stable as the company works to get Blackwell operational. This also comes after Nvidia recently surpassed Apple (Nasdaq: AAPL) to become the largest company in the world by market capitalisation, now valued at $US3.6 trillion. Other key metrics to keep an eye on: • Net income: US$17.4 billion expected versus US$9.2 billion a year earlier • Revenue: US$33.1 billion expected versus US$30.0 billion in Q2 24 • Earnings Per Share (EPS): US$0.75 per share expected versus US$0.38 a year earlier Analysts Favour Buying The company’s growth and strong performance are expected to have continued in Q3 24. According to data provided by Refinitiv, 90% of the analysts polled currently rated the stock as a ‘Buy’ (33% of which rated it as a ‘Strong Buy’). Around 10% of the analysts suggested a ‘Hold’. Year to date, the NVDA stock is up nearly 200%, with the company’s share price rallying 20% since pencilling in a low of US$90.69 at the end of August. Over the previous five years, the stock has also rallied an eye-watering 2,600%. What Are the Charts Saying? It would be an understatement to say that the stock is trending higher. The higher highs and higher lows seen on the weekly chart are a textbook definition of an uptrend. At the tail end of September, the stock ruptured the upper boundary of a pennant pattern (drawn from the high of US$140.76 and US$90.69) and has since pushed higher. Generally, once a chart pattern completes – pencils in a breakout – traders will look to apply the pattern’s take-profit objective, which in this case, can be found by extending the pole’s value from the breakout point. As you can imagine, this would involve a profit objective at around US$450.00. Over on the daily chart, the stock has been caught within an ascending channel since the middle of October, extended from US$128.74 and US$144.42. You will also note that the stock left the lower boundary of its ascending channel unchallenged this week and rallied nearly 5.0% yesterday. Technically, this indicates strength and a breakout above the upper boundary of the ascending channel to potentially refresh all-time highs. Written by FP Markets market analyst Aaron Hill.
NASDAQ:NVDALong
by FPMarkets
NVDIA - Arguments For BullsMedianlines (Pitchforks) do not forecast. They PROJECT the most probable path of price. At each moment in time, a "Medianline/Pitchfork Analyst" can relay on the rules and the framework they provide. In this case I see the following arguments for a continuation to the upside: - price is above the Center-Line - price did test the CL two times and hold - price was attempted to test the CL a third time, but was even too strong to reach it, and is now in this very momentum to the upside - when price trades towards a Medain-Line but can't reach it, it's a sign that price will continue the direction it had before (up in this case). The next Target is the "next" Medianline, which is the U-MLH (Upper-Medianline-Parallel) - price broke the blue-dashed A/R line to the upside All said, we have to keep in mind that there is also a opposite side of the Coin. I will provide another Chart Analysis with "Arguments For Bears".
NASDAQ:NVDALong
by Tr8dingN3rd
Nvda results tonight. Be careful… NVIDIA Earnings Today: Strong Results Expected, But Future Outlook Raises Questions NVIDIA (NVDA) is set to release its earnings today, and analysts are anticipating strong results, with projected revenue of around $33.1 billion and EPS estimates of $0.71. Given NVIDIA’s dominance in the AI and semiconductor markets, the company is expected to meet or slightly beat expectations. However, looking ahead, there are several factors that could challenge its future growth and stock performance: 1. Supply Chain Constraints NVIDIA has faced production bottlenecks, particularly with its new Blackwell AI chips. These challenges could slow revenue growth and limit the company’s ability to meet increasing demand. 2. Market Saturation The semiconductor industry is showing signs of a slowdown in global chip demand, with inventory excess becoming an issue. Coupled with increasing competition from companies like AMD and Intel, NVIDIA’s pricing power and market share could be affected. 3. Economic and Sector Volatility Broader economic uncertainty and volatility in the tech sector pose risks to investor sentiment. While AI remains a hot topic, the tech sector has seen significant layoffs, which could indicate a slowdown in spending on high-end hardware. 4. Regulatory and Geopolitical Challenges U.S. export restrictions on advanced AI chips to China and other regions could limit NVIDIA’s market opportunities. With geopolitical tensions on the rise, these restrictions may become a bigger hurdle for future growth. Outlook While NVIDIA’s earnings are expected to be strong, the stock’s performance may hinge on its forward guidance. If growth projections fail to address these headwinds, we could see negative sentiment around the stock, even with positive earnings results. Investors should carefully evaluate the long-term potential of the AI and semiconductor markets when considering NVIDIA’s future. For me I’m edging towards the bearish yet I’m back to sitting on my hands till after the results. The reason for me going bearish is the both the weekly and the daily macd have diverged along with the fact that the last release was a beat yet we had a slight decline post release. What are your thoughts? Will NVIDIA’s strong results outweigh these challenges, or could the future bring pressure
NASDAQ:NVDAShort
by jhesler
What happened? $Nvidia surged nearly 5%!!!!Reason1: Cooling of Blackwell overheating issues boosts confidence. Concerns about overheating in Nvidia's latest high-end chip, Blackwell, had been widely discussed. However, multiple authoritative analysis firms and Nvidia's CEO Jensen Huang confirmed that these issues have been resolved. Industry analysts noted that such problems have been effectively mitigated, with negligible impact on chip performance and supply cadence. This clear positive signal has instilled confidence in investors regarding Blackwell’s stability and market prospects. Reason2: Technological advancements raise expectations. As Nvidia's most advanced chip to date, the complete resolution of design issues marks its research and production entering a mature phase. Coupled with its powerful computing capabilities and potential applications in AI and data centers, market expectations for the product's profitability have significantly increased, serving as a key driver of Nvidia's stock surge. Reason3: Professional analysis alleviates concerns. Semiconductor analysis firm-Semianalysis indicated that the supply chain adjustments related to the overheating issue were merely "minor modifications" with almost no effect on the chip's actual performance. This analysis helped the market move past excessive worries about Blackwell’s overheating issues, laying the groundwork for Nvidia to regain investor trust in the short term. Reason4: Stock price retraces to strong support levels. From a technical analysis perspective, the stock price moving in a bullish channel, recently retracing to an upward trend line and the 0.236 Fibonacci support level. This support has triggered a rise, indicating that previous movements were merely weak short-term corrections. Under the combined influence of these favorable factors, Nvidia's stock jumped nearly 5% in a single day, not only boosting its own valuation but also uplifting the tech sector and the broader market. However, whether this upward trend can continue in the short term will depend on today's earnings report. For specific operational strategies, please refer to my last post : "NVIDIA Earnings Preview: Strategy Notes for Q3 Report."
NASDAQ:NVDA
by xugina78
NVDA at these prices!?! Yes, please. LONG at 140.15You can check my previous NVDA idea to see just exactly how smitten I am with it. Quick summary of that: we are in the early stages of an AI revolution, and NVDA has no serious competitors and they can't make their chips fast enough. I rest my case. Now those who follow me know I HATE trading stocks near earnings. WAY too much volatility. But NVDA is a stock I will happily make an exception for. Could they disappoint? Sure. But I can't say this loudly enough based on the results of my trading system backtest on NVDA: THERE IS NO BAD TIME TO BUY NVDA My system is a perfect 717-0 since NVDA stock began trading. If NVDA has a bad earnings report, I'll just buy more. If you want to know why, go back and check the price levels of every previous "miss" and compare them to where the stock is today. As long as the items in the summary thesis I wrote above stay true, I'm in on a long trade. I'm just mad that I missed out on the last two times it was on sale because my portfolio was already full. Not this time. Long today at 140.15 and I will keep adding as long as my algo screams "OVERSOLD!" I will be using a different exit strategy than usual, though. Even with NVDA I'd prefer not to be long at earnings, so I'll use my FPC exit strategy and if it's profitable at the close tomorrow, I'll take my money, thank NVDA profusely, and walk away. There will always be other opportunities and I'm not a greedy man. I'll leave sweating out hoped for earnings moonshots for others. There's plenty of other places I can make money in the market.
NASDAQ:NVDALong
by redwingcoach
9
The Future of AI Operations: MLOps and NVIDIA's VisionMLOps: Transforming AI into Scalable Enterprise Solutions In today’s fast-evolving technological landscape, MLOps (Machine Learning Operations) has emerged as a vital discipline for businesses striving to scale AI solutions effectively. This burgeoning field combines machine learning, DevOps, and data engineering to streamline the development, deployment, monitoring, and management of machine learning models in production. While MLOps was initially shaped by generalized practices, industry leaders like NVIDIA have taken this framework to new heights, integrating it with cutting-edge hardware and software to drive enterprise AI innovation. Here's a comprehensive look at MLOps and how NVIDIA has helped businesses unlock the true potential of AI. As NVIDIA NASDAQ:NVDA prepares to release its third-quarter earnings, with estimates of $0.74 per share and $32.81 billion in revenue, its dominance in AI and MLOps underscores the strategic importance of these technologies in today’s digital economy. What Is MLOps? At its core, MLOps is a set of best practices, tools, and methodologies designed to operationalize machine learning models, ensuring they remain reliable, scalable, and effective in dynamic environments. It builds on the principles of DevOps, extending them to include data scientists and machine learning engineers, ensuring seamless collaboration across teams. MLOps enables businesses to: 1. Automate repetitive processes such as model training, deployment, and monitoring. 2. Ensure reproducibility of experiments and results. 3. Scale AI solutions as businesses grow. 4. Continuously monitor and refine models to prevent performance degradation over time. Core Components of MLOps 1. Data Pipeline Management: - Automating data collection, cleaning, and preprocessing. - Managing real-time data streams for dynamic model training. 2. Model Development and Experimentation: - Providing tools for tracking experiments, version control, and reproducibility. - Allowing iterative experimentation to optimize models for specific tasks. 3. Model Deployment: - Deploying models into production environments using containers (e.g., Kubernetes, Docker). - Supporting diverse deployment scenarios, including real-time inference and edge computing. 4. Monitoring and Maintenance: - Continuously monitoring model performance for accuracy, latency, and resource efficiency. - Automating retraining pipelines to adapt to changes in data or operational requirements. 5. Scalability and Governance: - Enabling enterprises to scale AI solutions across large datasets and infrastructures. - Ensuring compliance with industry standards and ethical AI guidelines. Here's a practical pie chart showing the distribution of effort across key stages in the MLOps workflow: Data Collection, Model Training, Model Deployment, and Monitoring. MLOps in Action: The NVIDIA Story As one of the pioneers in AI and GPU-based computing, NVIDIA has played a transformative role in advancing MLOps, enabling businesses to scale and operationalize AI solutions with unprecedented efficiency. By providing a robust ecosystem of hardware, software, and services, NVIDIA has set a gold standard for MLOps in enterprise AI. 1. NVIDIA’s AI Infrastructure: NVIDIA’s DGX Systems and DGX SuperPODs deliver the computational power needed to train and deploy complex AI models. These GPU clusters provide unmatched scalability, making them ideal for handling large datasets and real-time AI workloads. Example: The DGX BasePOD architecture allows organizations to create powerful GPU clusters optimized for AI development and deployment. 2. NVIDIA AI Enterprise Suite: The NVIDIA AI Enterprise platform includes tools like: - Triton Inference Server for efficient model deployment. - TAO Toolkit for fine-tuning pre-trained models with minimal coding. - RAPIDS for accelerating data science workflows. These tools simplify the end-to-end AI lifecycle, ensuring businesses can deploy and manage AI models with ease. 3. Real-World Use Cases: - Retail Optimization: A major retailer used MLOps capabilities in a public cloud powered by NVIDIA GPUs to create an AI service that reduced food waste by 8-9%. By forecasting when to restock shelves, the retailer optimized inventory management and minimized spoilage. - Predictive Maintenance: A PC manufacturer utilized NVIDIA’s AI infrastructure to predict laptop maintenance needs, enabling proactive updates and reducing downtime for customers. Scaling MLOps with NVIDIA and Cloud Providers NVIDIA has partnered with major cloud providers to integrate MLOps capabilities into their platforms: - AWS SageMaker: Accelerates machine learning workflows with NVIDIA GPUs, enabling automated model training and deployment. - Google NASDAQ:GOOGL Vertex AI: Leverages NVIDIA GPUs for seamless scaling and orchestration of AI models. - Azure Machine Learning: Offers NVIDIA-optimized infrastructure for developing responsible AI solutions. - Alibaba NYSE:BABA Cloud and Oracle Cloud: Provide NVIDIA-powered platforms for quick experimentation and deployment of machine learning projects. These integrations allow businesses to choose flexible, cloud-based solutions for their AI needs, reducing operational overhead while ensuring performance and scalability. Here's a bar chart illustrating the resource allocation in AI infrastructure across Compute Resources, Storage, Networking, and Software Tools. Why NVIDIA Excels in MLOps 1. Industry-Leading Hardware: NVIDIA’s GPUs are designed for high-performance AI workloads, enabling rapid training and inference. 2. End-to-End Solutions: From infrastructure to software tools, NVIDIA offers a comprehensive ecosystem for MLOps. 3. Focus on Standards: NVIDIA’s collaboration with the AI Infrastructure Alliance (AIIA) helps set industry standards and best practices for MLOps. 4. Support for Open-Source Tools: NVIDIA works with open-source platforms like Kubeflow and ClearML, ensuring flexibility for developers and engineers. With a revenue estimate of $32.81 billion for Q3, NVIDIA’s financial success reflects its role in pioneering AI infrastructure and MLOps solutions. Its offerings, like DGX systems and AI Enterprise, continue to dominate the enterprise AI landscape MLOps: The Future of AI in Business The rapid adoption of AI across industries underscores the importance of robust MLOps frameworks. With NVIDIA’s contributions, enterprises can now manage the full lifecycle of AI development, from data collection to model deployment, with confidence and efficiency. Whether it’s optimizing retail operations, predicting maintenance, or developing cutting-edge applications, MLOps ensures that AI becomes a seamless part of an organization’s digital ecosystem. Thanks to pioneers like NVIDIA, the vision of scalable, reliable, and impactful AI is now a reality. Final Thoughts MLOps is more than just a framework—it’s a paradigm shift in how businesses approach AI. By leveraging NVIDIA’s advanced tools, infrastructure, and partnerships, organizations can achieve unparalleled efficiency, scalability, and innovation in their AI endeavors. The journey from experimentation to enterprise-ready AI has never been more accessible or powerful. As NVIDIA announces its Q3 results, the company’s vision for the future of AI operations becomes even more critical. The expected revenue of $32.81 billion underscores how integral MLOps and AI are to the company's continued growth and innovation. The chart visualizations in this article were created using the TradingView platform, a leading solution for market analysis and charting. Special thanks to TradingView for providing an exceptional platform that supports traders and analysts worldwide.
NASDAQ:NVDAEducation
by SroshMayi
Beyond Fallacy, Heuristic, and Bias..!Fallacy, heuristic, and bias are terms often used in psychology, logic, and decision-making, each referring to concepts that influence how we think and make judgments. Here’s a breakdown of each: 1. Fallacy A fallacy is a flaw in reasoning or logic that undermines the validity of an argument or conclusion. Fallacies can be either formal (based on a structural flaw in deductive reasoning) or informal (based on errors in reasoning related to content or context). Common types of fallacies include: • Ad Hominem: Attacking the person instead of the argument. • Straw Man: Misrepresenting someone’s argument makes it easier to attack. • False Dilemma: Presenting two extreme options when more exist. • Circular Reasoning: Using the conclusion as one of the premises. Fallacies are often unintentional and can result from poor reasoning or emotional biases. 2. Heuristic A heuristic is a mental shortcut or rule of thumb that people use to make decisions or solve problems more efficiently. While heuristics can help us make decisions quickly, they can sometimes lead to errors or biases. They are not guaranteed to be accurate but are practical for navigating complex or uncertain situations. Common heuristics include: • Availability heuristic: Judging the likelihood of an event based on how easily examples come to mind. • Representativeness heuristic: Making judgments based on how similar something is to a prototype, rather than on statistical reasoning. • Anchoring heuristic: Relying heavily on the first piece of information encountered (the “anchor”) when making decisions. 3. Bias A bias is a systematic deviation from rational judgment or decision-making. It often results from heuristics or emotional influences and can affect how people perceive information, interpret data, or make decisions. Biases can lead to faulty reasoning and skewed judgments. Types of cognitive biases include: • Confirmation bias: Focusing on information that confirms preexisting beliefs and ignoring contradictory evidence. • Overconfidence bias: Overestimating the accuracy of one’s knowledge or abilities. • Framing effect: Being influenced by how information is presented, rather than the content itself. In summary: • Fallacies are errors in reasoning that invalidate arguments. • Heuristics are mental shortcuts that simplify decision-making but can lead to errors. • Biases are systematic deviations from rationality, often caused by heuristics or emotional factors. Here's a concise overview of fallacies, heuristics, and biases in trading: Fallacies: 1. Confirmation Bias: Seeking information that confirms existing beliefs while ignoring contradictory evidence 2. Survivorship Bias: Focusing only on successful trades/investors, overlooking failures 3. Sunk Cost Fallacy: Continuing a losing trade because of previous investment Heuristics: 1. Availability Heuristic: Overemphasizing recent or memorable market events 2. Anchoring Heuristic: Relying too heavily on first piece of information encountered 3. Representative Heuristic: Assuming current market conditions will continue based on limited data Cognitive Biases: 1. Loss Aversion: Feeling losses more intensely than equivalent gains 2. Overconfidence Bias: Overestimating personal trading abilities 3. Herding Bias: Following market crowd instead of independent analysis 4. Recency Bias: Giving more weight to recent market performance 5. Emotional Bias: Making decisions based on fear or greed rather than rational analysis Mitigation Strategies: - Develop systematic trading rules - Use objective criteria for entry/exit - Maintain a trading journal - Practice disciplined risk management - Regular self-assessment and strategy review
NASDAQ:NVDAEducation
by Moshkelgosha