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Nvidia Drives S&P 500 Market Cap Surge with 36% ContributionThe price has reached our target, as mentioned yesterday, with a gain of +1.20%, approximately $60. The SPX has recorded a new all-time high and continues to gain. It may retest down to 5347 before pushing up to 5378. Overall, it could potentially reach 5320 if it stabilizes below 5347. As long as it trades above 5320, an uptrend towards 5423 is expected. Bullish Scenario: If the price trades above 5347, it will continue its bullish trend toward 5378, and above that, it could reach 5423. Bearish Scenario: If it stabilizes below 5347, it may drop to 5320. Stabilizing below 5320 on a 1-hour candle could lead to a decline to 5301. Pivot Line: 5347 Resistance Lines: 5378, 5400, 5423 Support Lines: 5320, 5302, 5260 The price is expected to move between the support level of 5320 and the resistance level of 5423. previous idea: Nvidia Drives S&P 500 Market Cap Surge with 36% Contribution in 2024 Shares of US-based chipmaker Nvidia Inc. have had a stellar 2024, soaring nearly 150% and reaching new all-time highs. This impressive performance has significantly contributed to the $4.49 trillion (12%) increase in the S&P 500’s market capitalization, which now stands at $47.16 trillion. Nvidia’s remarkable gains have been a major driving force behind the S&P 500’s record-breaking achievements. The chipmaker's contribution alone accounts for 36% of the index’s market cap surge this year, highlighting its pivotal role in the broader market’s upward trajectory. In addition to Nvidia's impact, the S&P 500 has been bolstered by favorable economic indicators, including cooling jobs data, which has alleviated some inflationary pressures and supported continued market growth. As the S&P 500 hits new records, Nvidia's milestone of reaching a $3 trillion market cap underscores the significant influence of leading tech companies in shaping market trends and driving substantial gains across the board.
OANDA:SPX500USDLong
by SroshMayi
Intel Corporation | INTCIntel reported second quarter earnings on Thursday, showing a return to profitability after two straight quarters of losses and issuing a stronger-than-expected forecast. the stock rose 7% in extended trading. Here’s how Intel did versus Refinitiv consensus expectations for the quarter ended July 1: Earnings per share: 13 cents, adjusted, versus a loss of 3 cents expected by Refinitiv. Revenue: $12.9 billion, versus $12.13 billion expected by Refinitiv. For the third quarter, Intel expects earnings of 20 cents per share, adjusted, on revenue of $13.4 billion at the midpoint, versus analyst expectations of 16 cents per share on $13.23 billion in sales. Intel posted net income of $1.5 billion, or 35 cents per share, versus a net loss of $454 million, or a loss of 11 cents per share, in the same quarter last year. Revenue fell 15% to $12.9 billion from $15.3 billion a year ago, marking the sixth consecutive quarter of declining sales. Intel CEO Pat Gelsinger said on a call with analysts the company still sees “persistent weakness” in all segments of its business through year-end, and that server chip sales won’t recover until the fourth quarter. He also said that cloud companies were focusing more on securing graphics processors for artificial intelligence instead of Intel’s central processors. David Zinsner, Intel’s finance chief, said in a statement that part of the reason the report was stronger than expected was because of the progress the company has made toward slashing $3 billion in costs this year. Earlier this year, Intel slashed its dividend and announced plans to save $10 billion per year by 2025, including through layoffs. “We have now exited nine lines of business since Gelsinger rejoined the company, with a combined annual savings of more than $1.7 billion,” said Zinsner. Revenue in Intel’s Client Computing group, which includes the company’s laptop and desktop processor shipments, fell 12% to $6.8 billion. The overall PC market has been slumping for over a year. Intel’s server chip division, which is reported as Data Center and AI, saw sales decline 15% to $4 billion plus Intel’s Network and Edge division, which sells networking products for telecommunications, recorded a 38% decline in revenue to $1.4 billion.moreover Mobileye, a publicly traded Intel subsidiary focusing on self-driving cars, saw sales slip 1% on an annual basis to $454 million and Intel Foundry Services, the business that makes chips for other companies, reported $232 million in revenue. Intel’s gross margin was nearly 40% on an adjusted basis, topping the company’s previous forecast of 37.5%. Investors want to see gross margins expand even as the company invests heavily in manufacturing capability. In the first quarter, the company posted its largest loss ever as the PC and server markets slumped and demand declined for its central processors. Intel’s results on Thursday beat the forecast that management gave for the second quarter at the time. Intel management has said the turnaround will take time and that the company is aiming to match TSMC’s chip-manufacturing prowess by 2026, which would enable it to bid to make the most advanced mobile processors for other companies, a strategy the company calls “five nodes in four years.” Intel said on Thursday that it remained on track to hit those goals. Nvidia has had an amazing run, but any emerging technology, such as AI, which is bottlenecked by a single company will have issues in growth. Consulting firm McKinsey has pegged the AI market to be worth $1 trillion by 2030, but also that it was in an experimental and in early phases of commercial deployment. While Nvidia will likely retain its leadership in GPU hardware as applied to AI for the foreseeable future, it is likely that other hardware solutions for AI systems will also be successful as AI matures. While technologist may quibble on specifics, all major AI hardware today are based on GPU architectures, and as such I will use the terms and concepts of AI hardware and GPU architecture somewhat interchangeably. One likely candidate for AI related growth may be AMD (AMD), which has had GPU products since acquiring ATI in 2006.However, unlike Nvidia, which had a clear vision for of general-purpose GPU products (GPGPU), historically, AMD had largely kept its focus on the traditional gaming applications. AMD has developed an AI architecture called XDNA, and an AI accelerator called Alveo and announced its MI300, an integrated chip with GPU acceleration for high-performance computing and machine learning. How AMD can and may evolve in the AI may be subject of a different article. Another contender for success in the AI applications using GPU is Intel, who is the focus of this article. Intel has maintained a consistent, if low key focus on GPU hardware focused on AI applications over the last decade. Intel’s integrated HD Graphics is built into most modern processor ICs; however, these are insufficient compared to dedicated GPUs for high-end inferencing or machine learning tasks. It has 2 primary GPU architectures in production release: In 2019 Intel Corporation acquired Habana Labs, an Israel-based developer of programmable deep learning accelerators for the data center for approximately $2 billion. Habana Labs’ Gaudi AI product line from its inception focused on AI deep learning processor technologies, rather than as GPU that has been extended to AI applications. As a result, Gaudi microarchitecture was designed from the start for the acceleration of training and inferencing. In 2022 Intel announced Gaudi2 and Greco processors for AI deep learning applications, implemented in 7-nanometer (TSMC) technology and manufactured on Habana’s high-efficiency architecture. Habana Labs benchmarked Gaudi2’s training throughput performance for the ResNet-50 computer vision model and the BERT natural language processing model delivering twice the training throughput over the Nvidia high end A100-80GB GPU. So, Gaudi appears to give Intel a competitive chip for AI applications. Concurrent with the Habana Labs’ Gaudi development, Intel has internally developed the Xe GPU family, as dedicated graphics card to address high-end inferencing or machine learning tasks as well as more traditional high-end gaming. Iris® Xe GPU family consists of a series of microarchitectures, ranging from integrated/low power (Xe-LP) to enthusiast/high performance gaming (Xe-HPG), data center/AI (Xe-HP) and high-performance computing (Xe-HPC). The architecture has been commercialized in Intel® Data Center GPU Flex Series (formerly codenamed Arctic Sound) and Intel® Arc GPU cards. There is some question on Xe GPU future and evolution. Intel has shown less commitment to the traditional GPU space compared to Gaudi. Nonetheless, it does demonstrate Intel ability to design and field complex GPU products as its business requires. Intel has many other AI projects underway. The Sapphire Rapids chips implements AI specific acceleration blocks including technology called AMX (Advanced Matrix Extensions), which provides acceleration inside the CPU for efficient matrix multiplications used in on-chip inferencing and machine learning processing by speeding up data movement and compression. Intel has supporting technologies such as Optane, which while cancelled as a production line, is available for their needs of a high-performance non-volatile memory, one of the intrinsic components in any AI product. Based on the above, Intel appears to have competitive hardware solutions, however if we look at Nvidia success in AI, it is a result of a much a software and systems focus as it is the GPGPU hardware itself. Can Intel compete on that front. Ignoring for the moment that Intel has a huge software engineer (approx. 15,000) resource, it also has- access to one of the leading success stories in perhaps the most competitive AI application – self driving cars. Mobileye, who was acquired by Intel in 2017, has been an early adopter and leader, with over 20 years of experience in automotive automated driving and vision systems. As such, Mobileye has a deep resource of AI domain information that should be relevant to many applications. Mobileye has announced that it is working closely with Habana, as related divisions within Intel. While Intel is in the process of re-spinning out Mobileye as public company, Mobileye Global Inc. (MBLY), at present Intel still owns over 95% of shares, keeping it effectively an Intel division. In looking at Intel, we have a company with the history, resources, and technology to compete with Nvidia and infrastructure. They have made significant investment and commitment to the emerging AI market, in times when they have exited other profitable businesses. It should also be understood that AI related product are a small percentage of overall Intel revenues (INTC revenue are more than twice NVDA, even if NVDA has 6x its market cap), and continues to keep its primary business focus on its processor and foundry business. Hopefully for shareholders, Intel continues to push their AI technology and business efforts. Their current position is that this is strategic, but Intel is in a very fluid time and priorities may change based on business, finances, and of course the general interest and enthusiasm for AI. It is always worth noting that AI as a technical concept is mature, and appears to be cyclical, with interest in the technical community rising and falling in hype and interest once every decade or so. I remember working on AI applications, at the time labeled as expert systems in the 1980s. If we are currently at a high hype point, this may be temporary, based on near term success and disappointment in what AI does achieve. Of course, as always, “this time is different” and the building blocks of effective AI systems currently exist, where for previous iterations, it was more speculative.
NASDAQ:INTC
by moonypto
4
$NVDA Started Accumulating on May 6NASDAQ:NVDA Started Accumulating on May 6, with our buy alert from our proprietary algorithm momentum indicator. ### Algorithm Momentum Indicator The Algorithm Momentum Indicator (AMI) is a sophisticated trading tool designed to identify the strength and direction of market trends. By leveraging advanced computational algorithms, the AMI analyzes price movements, trading volume, and historical data to provide traders with precise signals for potential buy or sell opportunities. #### Key Features: 1. **Trend Detection**: - AMI uses mathematical models to detect the initiation and continuation of market trends. - It helps traders identify whether an asset is in an upward (bullish) or downward (bearish) trend. 2. **Signal Generation**: - The indicator generates clear signals based on momentum shifts, alerting traders when to enter or exit a position. - Signals are typically represented by graphical elements such as arrows or color changes on the trading chart. 3. **Customizable Parameters**: - Traders can adjust the sensitivity of the indicator by modifying its parameters to suit different trading strategies and timeframes. - Customizable settings allow for fine-tuning to match individual risk tolerance and market conditions. 4. **Integration with Trading Platforms**: - AMI can be integrated with popular trading platforms like MetaTrader, TradingView, and NinjaTrader. - This ensures seamless usage and real-time analysis during trading sessions. 5. **Backtesting Capabilities**: - Traders can use historical data to backtest the AMI, evaluating its performance over various market conditions. - This feature helps in optimizing the indicator for better accuracy and reliability. 6. **Visual Representation**: - The AMI often includes visual aids such as histograms, lines, or oscillators to represent momentum. - These visual tools make it easier for traders to quickly interpret the indicator’s output. Benefits: - **Enhanced Decision Making**: Provides actionable insights that help traders make informed decisions. - **Risk Management**: By identifying potential trend reversals, the AMI aids in managing and mitigating risks. - **Versatility**: Suitable for various markets including stocks, forex, commodities, and cryptocurrencies. - **Time Efficiency**: Saves traders time by automating complex calculations and providing ready-to-use signals. Use Cases: - **Intraday Trading**: Ideal for short-term traders looking to capitalize on quick market movements. - **Swing Trading**: Helps swing traders identify medium-term trends to maximize gains. - **Long-term Investing**: Assists long-term investors in confirming trend directions for strategic positioning. The Algorithm Momentum Indicator is a powerful tool that combines advanced algorithmic techniques with practical trading insights, making it an essential component of any trader's toolkit.
GETTEX:NVDLong
by AlgoTradeAlert
Nvidia - Still a correction?Hello Traders and Investors, today I will take a look at Nvidia . -------- Explanation of my video analysis: Over the course of the past seven years, Nvidia stock has been trading in a pretty obvious rising channel formation. As we are speaking, Nvidia stock is approaching once again the upper resisance trendline. However this does not mean that we will see an immediate correction of -50%; it is rather important to monitor price action and wait for the right opportunity. -------- Keep your long term vision, Philip (BasicTrading)
NASDAQ:NVDAShort
by basictradingtv
26
Nvidia headed towards completion areaHaving entered the area of a wave (iv), and now exited the box to the upside to challenge the recent ATH, I have to consider the possibility we're headed towards the wave (v) target area to complete this primary wave 3. However, to be clear, below the ATH of $1158.19, we're still in wave (iv). This is visible in the below 1 hour chart. Nvidia will be embarking on a primary circle wave 4, that could last years. This will not be an event over in a matter of months. Best to all, Chris
NASDAQ:NVDA
by maikisch
Nvidia Stock Eyes Apple’s 2nd Spot After Monster 30% Gain in MayChip giant racked up nearly $700 billion in market cap last month and is on track to become the world’s second-largest company. If you’ve been extremely online and following the headlines for a while, you know how this blog will kick off: Nvidia (ticker: NVDA ) crushed, smashed, and shattered all expectations while reporting record profits and revenue. The artificial intelligence (AI) bonanza is so strong it’s literally no-froth-gains-only out there. Not that much in the loop? Let’s catch you up. For the fiscal first quarter, Nvidia reported record revenue of $26 billion, up 262% year-over year. Along the way, shares of the AI-focused company soared past $1,000 a pop and the stock is now threatening to overtake iPhone maker Apple (ticker: AAPL ) as the world’s second-largest company . Blink and You’ll Miss It. You Blinked, Right? Not that long ago — in March 2019 — Nvidia was a little-known GPU provider with its niche found in the gaming sector and the crypto mining corner. And, worth mentioning, it was chugging along as the 84th company in the world by market cap with shares changing hands at $30 a piece. Fast-track to nowadays, Nvidia’s market cap hovers near $2.7 trillion after gaining a monster 3,755% from its March 2019 lows. It also swooped in as the third-biggest company globally, replacing Amazon (ticker: AMZN ). Nvidia’s Big Gains Could Dethrone Apple The AI mainstay picked up more than $700 billion, or 30%, in valuation over May as its shares hit a record high of $1,160. The big leap positioned the company’s market cap less than 10% shy of Apple’s $2.95 trillion. This said, another $250 billion and Nvidia will become the second-biggest company in the world, trailing Microsoft ( MSFT ), valued at $3.2 trillion. That is, if Apple stays where it is now. The iPhone maker, on the other end of the spectrum, is having a rough year. The victim of a monopoly lawsuit , Apple is witnessing its shares linger around a 3% gain for the year, compared with Nvidia’s 130% rise. What’s more, spiraling iPhone sales in China added to the brewing troubles. Can Nvidia Sustain Its Bonkers Revenue Growth? Looking forward, Nvidia expects to rack up revenue of $28 billion for the current quarter . Recent quarterly performance shows that this type of guidance is not only being met, but it’s being comfortably exceeded. That’s what happens when you have big tech companies lining up to be your loyal customers. Nvidia is happily selling its hot hardware to the biggest and baddest out there — Microsoft (ticker: MSFT ), Google (ticker: GOOGL ), Tesla (ticker: TSLA ) and privately-held ChatGPT parent OpenAI are all scrambling to get their hands on the powerful chips made by Nvidia. These heavyweights usually pre-order the good stuff and sign contracts worth billions and billions of dollars, allowing Nvidia to predict how much revenue it will bring in over a quarter. Coming for That Margin Investors poured hundreds of billions into Nvidia as they sought to capture the AI train. What this has done to the industry is to propel a single company to the forefront while leaving a huge gap for the rest of the companies that a) have ample amounts of cash to invest, and b) are looking to get a piece of the AI action. Here’s Nvidia’s weak point: it boasts a huge profit margin. For the past quarter, Nvidia churned out a net income of $14.88 billion on its $26 billion revenue. That’s a clear invitation for other players in the ecosystem to swoop in and attack that profit margin. Rivals such as AMD (ticker: AMD ) could be looking to get involved in the battle for margin and launch a product that’s slightly better, slightly faster, and slightly cheaper than what Nvidia is making. The incentive is there — the question is when will a rival roll out a competitive product worthy of attention? Let’s Hear from You! What’s your take on Nvidia and the AI race? Do you own Nvidia shares or maybe AMD shares? Join the discussion below.
NASDAQ:NVDA
by TradingView
21
Nvidia Unveils Rubin AI Platform: New Frontier in Generative AIAt the 2024 Computex trade show in Taipei, Nvidia CEO Jensen Huang sent ripples through the tech world with the announcement of their next-generation AI platform, codenamed Rubin. Scheduled for release in 2026, Rubin promises to be a game-changer, pushing the boundaries of generative AI and accelerating its integration across various industries. Huang's vision is clear: a new industrial revolution driven by AI. This vision is fueled by the ever-growing demand for high-performance AI hardware, and Nvidia is positioning itself at the forefront of this revolution. By unveiling Rubin alongside the Blackwell Ultra chip slated for 2025, Nvidia is signaling a commitment to annual upgrades in their AI accelerator technology. This focus on rapid development reflects Nvidia's dominant position in the AI chip market, currently holding an estimated 80% market share. Rubin's arrival in 2026 signifies a significant leap forward in Nvidia's AI hardware capabilities. The platform will encompass not just next-generation GPUs, the workhorses of AI training, but also novel central processing units (CPUs) and networking chips. While specifics about Rubin's architecture remain under wraps, some key details have emerged. The platform will leverage the next iteration of High-Bandwidth Memory (HBM4), a crucial component for tackling the data bottlenecks that often hinder AI development. Manufacturers like SK Hynix, Micron, and Samsung are expected to be instrumental in supplying this next-gen memory. Beyond the hardware, Huang emphasized the importance of software and services in democratizing AI. This aligns with Nvidia's recent efforts to expand its software offerings, providing developers with user-friendly tools to harness the power of their AI hardware. It's likely that Rubin will be accompanied by a robust software ecosystem, enabling seamless integration and streamlined workflows for various AI applications. The potential applications of Rubin are vast. Generative AI, a subfield of AI focused on creating new data, is expected to see a significant boost. This could revolutionize fields like drug discovery, where AI can be used to design new molecules with specific properties. Additionally, advancements in natural language processing (NLP) facilitated by Rubin could lead to more sophisticated chatbots, capable of carrying on nuanced conversations and even generating creative text formats like poems or code. However, significant challenges remain. Ethical considerations surrounding bias in AI algorithms and the potential misuse of generative AI capabilities need to be addressed. Additionally, ensuring equitable access to this powerful technology will be crucial to prevent exacerbating existing inequalities. Despite these challenges, the potential benefits of Rubin are undeniable. Nvidia's commitment to annual advancements in AI hardware, coupled with a focus on user-friendly software, positions Rubin as a catalyst for the widespread adoption of AI across industries. As 2026 approaches, the tech world will be watching with keen interest to see how Rubin ushers in a new era of generative AI and its impact on the global landscape.
NASDAQ:NVDALong
by bryandowningqln
$GME 27 AFTER EARNINGS !!NYSE:GME 27 AFTER EARNINGS !! Improved Net Income and Turnaround Efforts: GameStop turned a net profit in 2023 for the first time since 2017, indicating a significant improvement in its financial performance. The company's ability to continue generating a net profit and restoring positive free cash flow is crucial for its turnaround and could boost investor confidence, potentially driving the stock price up. Revenue per Employee: GameStop is producing the second-most revenue per employee in the Specialty Retail industry among companies with over $1 billion market cap and over 1,000 employees. This high revenue efficiency could be a positive signal for investors, as it suggests the company is effectively utilizing its workforce to generate sales. Share Buybacks: GameStop's increased EDGAR activity in April 2024 might indicate the company has been actively buying back shares. Share buybacks can reduce the number of outstanding shares, potentially increasing the value of each remaining share and driving up the stock price. New Investment Policy: The company's board approved a new investment policy that permits GameStop to invest in equity securities, among other investments. This new policy could lead to new revenue streams or strategic partnerships, which might positively impact the company's stock price. Market Sentiment: The stock has been volatile in the past, with significant price movements driven by retail investor interest and short squeezes. Positive earnings results could trigger a renewed interest from retail investors, potentially driving up the stock price. Product Expansion: GameStop is known for its video game-related products. However, tweets mention the company's expansion into other areas such as controllers, wall chargers, keyboards, and headsets. This diversification could attract new customers and increase sales. Clearance Sales: Encouraging customers to purchase clearance items can help GameStop improve its revenue. This strategy could be part of the company's efforts to manage inventory and boost sales.
NYSE:GMELong
by NYRUNSGLOBAL
1
$DOCU 60 -70 - 80 AFTER EARNINGS ? NASDAQ:DOCU 60 -70 - 80 AFTER EARNINGS ? 6 REASONS !! Strong Quarterly Earnings: DocuSign has shown strong financial performance in the recent past, with its stock price rising after reporting strong earnings. This indicates a positive market response to its financial performance, which could lead to a higher stock price in the future. Increased Price Targets by Analysts: Analysts have increased their price targets for DocuSign, with some predicting a potential rise to $65. These optimistic forecasts suggest that the market and analysts have confidence in the company's future growth and performance. Positive Market Sentiment: The market's response to DocuSign's earnings reports has generally been positive, with the stock price rising after strong earnings reports. This suggests that if DocuSign continues to report strong earnings, the market could respond positively, potentially pushing the stock price towards $65. High Growth Potential: Analysts predict that DocuSign's earnings and revenue will grow significantly over the next 3 years. This high growth potential could attract investors and drive up the stock price. Market Leadership: DocuSign is a market leader in the e-signature and contract management space. Its strong market position and broad scope of agreement workflows could contribute to its continued growth and success, potentially leading to a higher stock price. Positive Industry Outlook: The e-signature and contract management industry is expected to continue growing, driven by the increasing need for digital solutions to streamline agreement processes. As a leader in this space, DocuSign is well-positioned to benefit from this industry growth.
NASDAQ:DOCULong
by NYRUNSGLOBAL
$TM 220 - 240 - 25O AFTER EARNINGS ?NYSE:TM 220 - 240 - 25O AFTER EARNINGS ? 6 REASONS !! Strong Quarterly Earnings: Toyota has shown strong financial performance in the recent past, with its profit in the latest quarter jumping nearly threefold from a year ago as vehicle sales grew globally. This indicates a strong demand for Toyota's vehicles and the company's ability to capitalize on this demand, which could positively impact its stock price. Increased Net Profit Forecast: Toyota ramped up its annual net profit forecast to $26.1 billion after reporting it more than doubled in the first six months of the year. This indicates the company's confidence in its future performance, which could boost investor confidence and drive up the stock price. Record High Stock Price: Toyota's shares hit a record high after reporting strong earnings and raising its fiscal-year earnings forecast. This shows that the market responds positively to Toyota's financial performance, and further strong earnings could lead to a higher stock price. Year-on-Year Earnings Growth: Despite a recent decline in earnings quarter-on-quarter, Toyota's earnings are up +97% year-on-year. This indicates a strong recovery and growth trajectory, which could lead to a higher stock price in the future. Positive Market Sentiment: The market's response to Toyota's earnings reports has generally been positive, with the stock price rising after strong earnings reports. This suggests that if Toyota continues to report strong earnings, the market could respond positively, potentially pushing the stock price towards $250. Dividend Yield: Toyota pays an annual dividend of $5.10 per share and currently has a dividend yield of 2.38%. This could attract investors looking for stable returns, potentially driving up the stock price.
NYSE:TMLong
by NYRUNSGLOBAL
NVIDIA: Very Limited Upside Potential - A ScenarioNote: While predicting the future is impossible, the following game plan is based on an analysis of current events, historical patterns, market bubbles, and the growing public fear of artificial intelligence. Please bear in mind that I am an extropist who has been dreaming of the Singularity since I was seven years old, with a keen interest in financial and technological privacy. 1. Current Market Capitalization Unsustainable Levels: As of May 30th, 2024, Nvidia's market capitalization stands at a staggering $2.82 trillion USD. This valuation reflects extremely high growth expectations and significant optimism about Nvidia's future prospects. However, such a lofty valuation may not be sustainable in the face of potential risks and headwinds. Valuation Metrics: Key valuation metrics such as the Price-to-Earnings (P/E) ratio are also at historically high levels, indicating that the stock is priced for perfection. Any deviation from expected growth or profitability could lead to sharp corrections. 2. AI Regulation in 2025 Intensive Regulations: There are growing concerns that the AI industry, which Nvidia heavily relies on for growth, will face stringent regulations by 2025. Governments worldwide are increasingly wary of the ethical implications, data privacy issues, and potential misuse of AI technologies. Impact on Growth: If new regulations impose strict compliance requirements, limit data usage, or introduce hefty fines, Nvidia's AI-driven revenue could be significantly impacted. Compliance costs would rise, innovation might slow down, and the overall profitability could decline, leading to reduced investor confidence and lower stock valuations. 3. Incoming Lawsuits Patent Infringements and IP Disputes: Nvidia is frequently involved in legal battles over intellectual property and patent infringements. As the company expands its technology portfolio, the risk of lawsuits increases, which can lead to costly settlements or prolonged legal battles. Class Action Lawsuits: There is also the potential for class action lawsuits from shareholders if Nvidia fails to meet its lofty expectations or if there are any perceived misrepresentations of its business prospects. Legal troubles can drain resources and divert management attention from growth initiatives, negatively impacting stock performance. 4. Geopolitical Risks: China Invading Taiwan / World War 3 Supply Chain Disruption: Taiwan is a critical hub for semiconductor manufacturing, with companies like TSMC (Taiwan Semiconductor Manufacturing Company) playing a crucial role in Nvidia's supply chain. An invasion by China could disrupt this supply chain, leading to shortages, production delays, and increased costs for Nvidia. Market Sentiment: Geopolitical instability typically spooks investors, leading to market sell-offs. A conflict involving Taiwan would create uncertainty around Nvidia's ability to maintain its production levels and meet market demands. This uncertainty can drive investors to pull out, causing a decline in stock prices. Trade Restrictions: In the event of a conflict, the US and its allies might impose sanctions or trade restrictions on China, further complicating Nvidia's operations and supply chain. These restrictions could limit Nvidia's access to essential materials or technology, affecting its long-term growth prospects. 5. Social Unrest Due to AI Impact Mass Riots Over Job Losses: As AI technology advances, millions of jobs are at risk of being automated. This could lead to significant social unrest as people face unemployment and economic hardship. Mass riots and protests against AI-driven job displacement could create a hostile environment for companies like Nvidia, leading to negative public perception and potential backlash. Intellectual Property Theft Concerns: AI technologies have been criticized for infringing on the intellectual property rights of artists and creators. This could lead to increased legal challenges and a loss of support from the creative community. Public outcry and legal actions from artists claiming that their work is being used without permission could further tarnish Nvidia's reputation and create financial liabilities. In Conclusion: While Nvidia has enjoyed a remarkable rise in its stock price, several factors suggest that its current valuation might be unsustainable. The potential for heavy AI regulations, a surge in lawsuits, geopolitical risks related to China and Taiwan, and social unrest due to AI-driven job losses and intellectual property theft present significant headwinds. Coupled with the current market capitalization at an unprecedented $2.82 trillion USD, these factors collectively argue for a more cautious outlook, suggesting that Nvidia's stock may not have much room to rise further and could even face a significant correction. And as Always: This is NO Financial Advice, Do your own Research. CYANE
NASDAQ:NVDAShort
by cy4ne
1
NVDA May 29 Update #NVIDIA #NVDANVDA investors had a fantastic day yesterday, after the Green Gold skyrocketed and hits the 1040. during the night trading sessions the stock touched the 1060, and we are now seeing a major correction at the pre market session. Investors can secure profits by setting a stop limit order at 1113 or 1084 depend on how aggressive you are. Target price before the stock splits was estimated to be around 1200 which is very close ahead, and it can be reached by the end of today or by Friday max.
NASDAQ:NVDALong
by MESHANL
Can we go back to reality?Congratulations NVDA, because you delivered everything you could deliver in terms of good results, however, can we get back to reality? Will the Black Monday that we experienced in 1987, in the DOW JONES index, be experienced again in 2024, and thanks to NVDA and technology companies? We know what happened between 1980 and 1985 to the American economy, right? It is known that in the 1980s and early 1990s, dollars could circulate freely around the world, so much so that we had a global economic miracle, and the world was swimming in booming growth. But, at the current moment, dollars can no longer circulate freely around the world (FED, China, Russia) and continue contributing to global growth? Therefore, the technological war we are experiencing today (chips and electric cars), diverted dollars to these sectors, further inflating this bubble that is about to burst. Speaking of electric cars, China is firmly dumping its electric cars around the world at very reasonable prices (as it has no intention of breaking its internal market – control), once and for all destroying the automobile industry in many emerging countries, oh my, no? Let's go graphics. Monthly: NVDA has reached the three golden levels of the FIB of the SETUP used, so there is nowhere else to go. So, SPX, get ready. The red lines are resistance points. Weekly: With the brilliant financial report recently released, prices are ready to seek the golden region of this chart period. The red lines are resistance points. Daily. Prices have reached the region of 100% of the bullish pivot. The red lines are resistance points. Do your analysis and good business. Be aware, if you buy, use stop loss. See other graphical analyzes below.
NASDAQ:NVDA
by MacD_Bollinger
A Golden Age for Splits? Nvidia's MoveNvidia's recent announcement of a 10-for-1 stock split sent ripples through the tech industry. Investors cheered the move, with the stock price surging 9% to a record high. But beyond the immediate impact on Nvidia, Bank of America (BofA) suggests this could be the first domino in a wave of tech stock splits. This article explores the implications of Nvidia's split, the factors driving potential future splits, and the historical trends associated with this strategy. Nvidia's Split: A Catalyst for Change? Nvidia's stock price, hovering around $1,000 before the announcement, undoubtedly played a significant role in the decision. With a lower share price after the split, the stock becomes more accessible to individual investors, potentially broadening its investor base. This aligns with BofA's observation that Nvidia is already a favorite among retail investors, according to a May 22 Vanda Research report. BofA analysts see the split as a positive sign, highlighting a trend of "shareholder-friendly policies" within large-cap tech companies. They also point to historical data suggesting that companies undergoing splits tend to experience strong returns in the following year. A Landscape Ripe for Splits? BofA's note identifies 36 companies within the S&P 500 with share prices exceeding $500, potentially making them candidates for future splits. This includes tech giants like Microsoft and Meta Platforms, whose stock prices are approaching that threshold. There are several factors making the current tech landscape ripe for stock splits: • Soaring Stock Prices: Fueled by technological advancements and strong demand, many tech stocks have experienced phenomenal growth in recent years. This has pushed share prices to record highs, potentially creating a psychological barrier for some retail investors. • Accessibility and Liquidity: A lower share price can make a stock more attractive to individual investors, increasing overall trading volume and liquidity. This broader investor base can potentially lead to a more stable stock price. • Psychological Impact: A lower share price can make the stock appear more affordable, even if the underlying value of the company remains unchanged. This can trigger increased buying interest, particularly among retail investors. Beyond Price: The Strategic Considerations While share price is a key factor, companies considering a split should also weigh other strategic considerations: • Signaling Confidence: A stock split can be seen as a sign of management's confidence in the company's future growth potential. This positive signal can improve investor sentiment and potentially attract new investment. • Maintaining Momentum: A well-timed split can capitalize on a company's positive momentum, further propelling its stock price upwards. However, a poorly timed split during a market downturn might not yield the desired results. • Cost and Complexity: Implementing a stock split involves administrative costs and logistical complexities that companies need to consider. Historical Trends and Potential Outcomes BofA cites historical data showing that stock splits have generally been followed by positive returns. They argue that splits don't dilute the company's value, but rather make it more accessible to a broader investor base. This can lead to increased trading activity and potentially higher valuations. However, it's important to note that correlation doesn't imply causation. While past trends suggest positive outcomes, future performance remains subject to market conditions and individual company fundamentals. The Road Ahead: A Spliting Tech Future? Nvidia's stock split has reignited the conversation around this strategy within the tech industry. With numerous companies sporting high share prices, BofA's prediction of a potential wave of splits holds merit. This trend, if it materializes, could have several implications: • Increased Retail Investor Participation: Lower share prices could attract more retail investors to the tech sector, potentially boosting overall market activity. • Enhanced Liquidity: Broader investor participation can lead to higher trading volumes and improved liquidity for these tech stocks. • Short-Term Volatility: The implementation of splits could lead to short-term market volatility as investors adjust their positions. Conclusion Nvidia's stock split may be a harbinger of a larger trend within the tech sector. Companies with high share prices might consider following suit to broaden their investor base and potentially enhance long-term value. However, the decision to split should be a strategic one, carefully evaluating both the potential benefits and the associated costs and complexities. As the market watches Nvidia's post-split performance, it will be interesting to see if this move ushers in a new era of tech stock splits and how it shapes the investment landscape in the coming years.
NASDAQ:NVDALong
by bryandowningqln
1
⭐NVIDIA - 'Best Buy of the Decade?' (2 years later...) 👈🙄Best feature of Tradingview? That everything stays, nothing can be amended or edited or deleted. ⏰ Jul 15, 2021: ⭐NVIDIA - Best Buy of the Decade? ⭐⭐⭐⭐ : Some of the comments back then were: ❤️‍🩹Short it or you will regret it ❤️‍🩹It was a great buy few years ago. Key word, WAS. ❤️‍🩹holy f, have you done some valuation analysis? god tier company, the future of mankind. but stock=/=company, insanely overpriced 2 Years later everyone talks about NVIDIA as AI brings near a trillion-dollar valuation. No further comment other than that i see Major resistance at 449-470$ One Love, the FXPROFESSOR ⭐🙄
NASDAQ:NVDALong
by FX_Professor
1
Nvidia Shares Soar 8.43% After Stellar EarningsChip stocks soared in out-of-hours trading on Wednesday and Thursday after chipmaker Nvidia ( NASDAQ:NVDA ) smashed Wall Street's expectations with its latest earnings report, continuing a period of extraordinary growth as booming interest in artificial intelligence propels the tech sector to new heights. Shares for Nvidia ( NASDAQ:NVDA ) climbed nearly 8% during after-hours trading on Wednesday, peaking above $1,000 per share for the first time. While these gains have pared a little in the hours since Nvidia’s earnings report, shares for the California-based company were still up by more than 6% at the time of writing on Thursday morning. Nvidia ( NASDAQ:NVDA ) shares are currently trading at around $1,030, putting the chipmaker on track to surpass the $1,000 milestone and hit an all-time high when markets open on Thursday. Other chipmakers benefiting from intense interest in artificial intelligence include shares for Taiwan Semiconductor Manufacturing Company, Arm Holdings, Dell Technologies, and Super Micro Computer Inc., which were all up between 3% and 6% during pre-market trading. Nvidia ( NASDAQ:NVDA ) released its hotly anticipated earnings report for the first quarter of 2024 on Wednesday afternoon, which smashed Wall Street’s expectations and marked the company’s most profitable quarter ever. Respectively, profits and sales were up 628% and 268% compared to the same time period last year, Nvidia ( NASDAQ:NVDA ) said, reporting $6.12 earnings per share and $26 billion in sales for the three-month period ending April 30. The release of OpenAI’s generative AI chatbot ChatGPT in 2022 ignited a global race among tech companies to build and deploy ever more advanced AI systems. The race has spurred stellar demand for the kinds of advanced computer chips required to maintain, run, and develop these AI systems, and Nvidia, formerly known for its gaming hardware, is one of the world’s leading beneficiaries for this demand and has become a bellwether for interest in the sector. Nvidia's profit soars, underscoring its dominance in chips for artificial intelligence. Its net income rose more than sevenfold compared to a year earlier, jumping to $14.88 billion in its first quarter that ended April 28 from $2.04 billion a year earlier. Revenue more than tripled, rising to $26.04 billion from $7.19 billion in the previous year. Technical Outlook Nvidia's (NVDA) stock is up 8.97% in Thursday's market trading riding high with a Relative Strength Index (RSI) of 71.60 placing NASDAQ:NVDA in an overbought territory, hence a trend reversal is along the horizon in the long term.
NASDAQ:NVDALong
by DEXWireNews
Nvidia Stock Surges After Exceeding Earnings Expectations Nvidia Shares Surge Over 6% in Premarket Trading Shares of Nvidia ( NASDAQ:NVDA ) rose more than 6% in premarket trading on Thursday following the company's impressive first-quarter results and CEO Jensen Huang's remarks about the soaring demand for its upcoming AI-optimized chip. Nvidia, a California-based semiconductor giant, has seen its data center graphics processing units (GPUs) become crucial to the development of generative AI products. As a result, Nvidia's performance is now viewed as a key indicator of AI demand and a significant influence on broader market sentiment. U.S. stock futures also climbed in response to the report. "The next industrial revolution has begun," Huang stated. "AI will bring significant productivity gains to nearly every industry, helping companies become more cost- and energy-efficient while expanding revenue opportunities." Nvidia Stock Surges After Exceeding Earnings Expectations Nvidia has exceeded market expectations with its April quarter results, solidifying its status as a crucial stock globally. CEO Jensen Huang highlighted the company's pivotal role in the evolving tech landscape, stating, "The next industrial revolution has begun. Companies and countries are partnering with Nvidia to shift traditional data centers to accelerated computing, creating AI factories to produce a new commodity: artificial intelligence." Nvidia's sales soared 262% in the first fiscal quarter to $26 billion, marking an 18% increase from the previous quarter. Earnings per share, excluding non-cash costs, reached $6.12, up 461% from the previous year and 19% from the prior quarter, surpassing Wall Street's estimates of $5.60 per share. Under generally accepted accounting principles, earnings were $5.98 per share. The company also provided robust guidance for the July quarter, projecting revenue of $28 billion, surpassing the average Wall Street forecast of $26.6 billion. Nvidia's dominance in the AI platform sector was underscored by a more than fivefold increase in sales to cloud-computing data centers, which totaled $22.6 billion or 87% of total revenue. Chief Financial Officer Colette Kress noted that large cloud providers were significant contributors, accounting for approximately 45% of all data center revenue in the quarter. Into the Omniverse: SoftServe and Continental Accelerate Digitalization with OpenUSD and Generative AI In response to the increasing demand for seamless and connected driving experiences, SoftServe, a leading IT consulting and digital services provider, has collaborated with Continental, a prominent German automotive technology company, to create the Industrial Co-Pilot. This virtual agent, powered by generative AI, helps engineers streamline maintenance workflows. SoftServe enhances manufacturers' operations, like those of Continental, by integrating the Universal Scene Description (OpenUSD) framework into virtual factory solutions. These solutions, including the Industrial Co-Pilot, are developed on the NVIDIA Omniverse platform, further optimizing efficiency and productivity. South Korea Unveils $19 Billion Package for Chip Industry South Korea has announced a 26 trillion won ($19.09 billion) package to bolster its semiconductor market. The initiative, revealed by President Yoon Suk Yeol during a meeting with government officials, includes a 17 trillion won investment plan through the Korea Development Bank for chip producers and suppliers to enhance semiconductor infrastructure. Despite the country's current 1% share in the global fabless industry—a term for semiconductor companies without production lines—President Yoon emphasized the strategic importance of this sector. "Semiconductors are a field where all-out national warfare is underway. Winning or losing depends on who can make cutting-edge semiconductors first," Yoon stated.
NASDAQ:NVDALong
by SroshMayi