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AVGO, Split coming? On it's way to 1550?The chart for Broadcom Inc. (AVGO) on the NASDAQ shows a bullish breakout from a falling wedge pattern, indicating a potential upward price movement. After the breakout, the price has consolidated around the $1,406.64 level, suggesting a healthy pause before the next move. The RSI at 57.48 indicates neutral to slightly bullish momentum, and increased volume during the breakout adds credibility to this move. The projected path suggests the price will consolidate around $1,407.78 before breaking out to $1,419.17 and potentially reaching $1,438.35 and $1,445.40. Considering these factors, entering a long position if the price breaks above $1,419.17 with strong volume could be beneficial, with a stop loss below $1,391.91 to manage risk and targets at $1,438.35 and $1,445.40. This could easily tun to 1550 with a 10% implied move on earnings. Disclaimer: This analysis is for educational purposes only and should not be considered financial advice. Always conduct your own research and consult a financial advisor before making any trading decisions.
NASDAQ:AVGO
by MysticMads
💫NVIDIA might be ready for ATH: Multitimeframe💫☝️Do not act based on my analysis, do your own research!! The main purpose of my resources is free, actionable education for anyone who wants to learn trading and improve mental and technical trading skills. Learn from hundreds of videos and the real story of a particular trader, with all the mistakes and pain on the way to consistency. I'm always glad to discuss and answer questions. 🙌 ☝️ALL ideas and videos here are for sharing my experience purposes only, not financial advice, NOT A SIGNAL. YOUR TRADES ARE YOUR COMPLETE RESPONSIBILITY. Everything here should be treated as a simulated, educational environment. Important disclaimer - this idea is just a possibility and my extremely subjective opinion. Do not act based on my analysis, do your own research!!
NASDAQ:NVDALong
by Yelli_trades
3
Nvidia Races Ahead: Can It Lead After Apple Stock SplitNvidia Races Ahead: Can it Maintain the Lead After Apple's Stock Split? The tech world is abuzz with the news of Nvidia's staggering outperformance of Apple's stock price in 2024. Annually, Nvidia has surged a remarkable 190+%, leaving Apple in the dust with a meager 19% gain. This stark contrast comes just ahead of Apple's highly anticipated 10-to-1 stock split, raising questions about the future performance of both tech giants. Nvidia's Stellar Rise: A Chip Powerhouse on Fire Nvidia's dominance can be attributed to its position as a leader in the booming semiconductor industry. The ever-growing demand for powerful graphics processing units (GPUs) for applications like artificial intelligence, gaming, and data centers has propelled Nvidia's growth. Their cutting-edge technology has made them the go-to choice for tech enthusiasts and professionals alike. Apple's Stagnant Growth: A Maturing Giant? While Apple remains a tech behemoth, its stock price hasn't mirrored the explosive growth seen in other sectors. This could be due to a number of factors. The smartphone market, a cornerstone of Apple's success, has reached a saturation point. Additionally, competition from other manufacturers, particularly in the Chinese market, has intensified. Stock Splits: A Psychological Boost or a Price Trick? Stock splits themselves don't change the underlying value of a company. They simply increase the number of shares outstanding while proportionally reducing the share price. However, stock splits can have a psychological impact on investors. A lower share price can make the stock appear more affordable, potentially attracting new investors and boosting short-term trading activity. Volatility Ahead: Will Apple Reclaim Its Throne? Apple's upcoming stock split has the potential to introduce significant price volatility in the short term. The lower share price might entice retail investors, leading to a temporary surge. However, long-term performance will depend on Apple's ability to innovate and tap into new growth markets. Beyond the Numbers: A Look at the Fundamentals While the current stock price performance paints a clear picture, a deeper analysis of both companies' fundamentals is crucial for long-term investors. Here are some key aspects to consider: • Product Pipeline: Both companies have a history of successful product launches. Analyzing their upcoming product lines and potential disruptions will provide insights into future growth prospects. • Innovation: Continuous innovation is vital for sustained success in the tech industry. Evaluating each company's commitment to research and development will shed light on their ability to stay ahead of the curve. • Market Expansion: Identifying new markets and customer segments that either company can tap into can be a significant growth driver. The Verdict: A Tale of Two Tech Titans Nvidia's current lead is undeniable, but Apple shouldn't be counted out. The stock split has the potential to reignite investor interest in Apple, and its brand loyalty remains unmatched. Ultimately, which company emerges victorious will depend on their ability to navigate the ever-evolving tech landscape, deliver innovative products, and expand into new markets. For investors, this is an exciting time to be in the tech sector. By carefully analyzing both companies' fundamentals and long-term strategies, investors can make informed decisions about where to place their bets. The race between Nvidia and Apple is far from over, and the coming months will be a fascinating test of their respective strengths and resilience.
NASDAQ:NVDALong
by bryandowningqln
a weekly price action market recap and outlook - nvidia #4Good day and i hope you are well. Last time i talked about Nvidia was 2024-02-23 and Nvidia was at 823 and my targets were 900/1000. Time for an update. comment: It's the stock everyone talks about and the peak insanity bubble of this generation before the next financial crisis. There, I said it. Feel free to stop reading now if you don't like it. I look at charts and comment on patterns I see and what I think will most likely happen or not. If the picture is unclear, we are in a trading range. Obviously not the case for this gem. You can study parabolic wedge tops and see repeating patterns, therefore you can make predictions about the possibility of future price movements. This stock will be the posterchild of a bubble pop, just like Bitcoin was in 2021 when it did a 50% pull-back from 64000 to 30000. For you guys, I commented on the Bitcoin parabolic wedge top from 2020/2021 to illustrate my point. See below. Probably 99% of twitter wants you to think Nvidia goes to infinity, just like Bitcoin in 2021 but they only do that at the peak of the bubble while the market is going parabolic. They are so euphoric that they never seem interested in studying market behavior in the past. If you truely believe them and the "this time it's different...", good luck. The party will probably continue some more, just like it did with bitcoin. But at some point, mostly the point where your friends, who know the same about the financial markets as about quantum physics, will tell you they bought Nvidia, it will turn because there is no one willing left to buy and the only thing the stock can do is go down to find new buyers. If that move is strong enough, well, the fair price might be lower than you think. -dotcom everyone thought everything with an internet address could only print money for infinity -gfc everyone thought housing prices can only go up and for sure this time it's different -what shall we call the next GFC? Will it be the everything bubble? Who gives a flying f. Cycles repeat. It's never different. This cycle was just moved so far off, because of the biggest money printing experiment in history. Markets do not change because they reflect human behavior. This market will deflate and so will this stock. Please rub it in my face when we are in 2025 and Nvidia trades at 3000. Please do. Maybe I will learn something from it. Here is my usual writing for weekly recaps & outlooks current market cycle: parabolic wedge top - peak bubble behavior key levels: 1150-1500 bull case: Everything. Stock can only go up. Every dip is bought. Daddy Jensen is signing breasts and most people think AI will be an infinite money glitch. Invalidation is below 1170ish. bear case: No bear case. Every bull trend line is valid. Pull-backs are shallow and bought. Market is printing consecutive uber bullish gaps. If you think anything about this is bearish right now, look at the weekly/monthly tf and think again. "But you are saying it will pop..." Well yeah but as of right now, nothing is deflating for this stock. I'm giving you my reasoning why buying into a W5 (third push up) while most indixes are at or near all time highs, might be a bad idea. When everyone and their dog is max bullish, you could think twice about doing the same. Invalidation is above 1400. short term: It's reasonable to expect another push up in this tight bull channel for a high around 1300-1400. medium-long term: Over the next 6 months we should see the 1000 price area again and 6-18 months we most likely will see 800-900 again. current swing trade: hell naw.
NASDAQ:NVDA
by priceactiontds
2
Nvidia Scores a Knockout: Chipmaker Topples AppleNvidia Scores a Knockout: Chipmaker Topples Apple to Reach $3 Trillion Throne In a stunning shift of the tech world's power dynamics, Nvidia Corporation (NVDA) has dethroned Apple (AAPL) as the world's most valuable company by market capitalization. Surpassing the $3 trillion mark for the first time ever, Nvidia's meteoric rise signifies the transformative power of artificial intelligence (AI) and the chipmaker's strategic positioning at the heart of this technological revolution. From Graphics Giant to AI Powerhouse Nvidia's journey to the top isn't a tale of overnight success. The company built its reputation on high-performance graphics processing units (GPUs) - the workhorses behind smooth gameplay and stunning visuals. However, a fortuitous discovery changed the game. These same GPUs, designed for complex graphics calculations, proved remarkably adept at handling the intricate computations demanded by AI. This adaptability propelled Nvidia into the AI arena, where its chips are now powering a vast array of groundbreaking applications. Fueling the AI Engine Several factors have converged to create a perfect storm for Nvidia's growth: • The AI Explosion: The global AI market is on an exponential growth trajectory. As AI infiltrates diverse industries from healthcare to finance, the demand for Nvidia's powerful GPUs is expected to skyrocket. Self-driving cars, facial recognition systems, advanced medical research – these are just a few examples of the areas where Nvidia's technology plays a critical role. • Gaming Goes Beyond the Console: The gaming industry, a long-standing customer base for Nvidia, is experiencing a renaissance fueled by cloud gaming and virtual reality (VR). These advancements necessitate ever-more powerful graphics processing, further solidifying Nvidia's position within this lucrative market segment. • The Crypto Craze: While a volatile factor, the ongoing cryptocurrency boom has undeniably boosted demand for Nvidia's GPUs, as they are well-suited for cryptocurrency mining. This additional demand has contributed to Nvidia's recent surge. Can Nvidia Maintain its Momentum? While Nvidia's current market valuation is a testament to its success, questions naturally arise about its ability to sustain this extraordinary growth trajectory. Here are some key considerations for the future: • The Competitive Landscape: Nvidia's success has attracted the attention of rivals like Intel (INTC) and AMD (AMD), who are pouring resources into developing their own AI-focused chips. Maintaining its technological edge will be crucial for Nvidia to stay ahead of the pack. • Market Fluctuations: The tech sector is notorious for its sensitivity to market movements. An economic downturn or a shift in investor sentiment could potentially trigger a correction in Nvidia's stock price. • Innovation as the Lifeblood: The rapid pace of technological advancement demands constant innovation. Nvidia must prioritize research and development to ensure its products remain at the forefront of AI technology. A New Era for Chipmakers Nvidia's ascension to the $3 trillion mark signifies a pivotal moment for the semiconductor industry. It underscores the immense potential of AI and the critical role chipmakers play in driving technological innovation. As the world embraces AI at an ever-increasing rate, Nvidia stands poised to play a central role in shaping the future. However, the company's continued success hinges on its ability to navigate a competitive landscape, prioritize innovation, and weather potential market fluctuations.
NASDAQ:NVDALong
by bryandowningqln
(NVDA) nVidia "so close"Custom indicator to track volume against median levels diverting levels of highs and lows. Basically the indicator looks to measure something that offers a view of the direction of shares and whether the shares are pulling or pushing against the price of the stock, or crypto. In this case nVidia is running eerily close to the zero hline. The split is coming up and there will be 10x more shares. Even though the stock split shows definite signs of continued growth and future gains in mcap the timing is correlated as such. The image is on the week length because I couldn't fit the entire image one the day length of time with my computer. The purple line falls as the price gains. The purple line works against the movement of the graph chart in any sense of the word.
NASDAQ:NVDA
by CryptocurrencyBlot
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