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Intel

$INTC | Allocation | Market Exec |Technical Confluences: - Price action is close to the 78% Fibo Extension and is at a strong Demand Zone - Stochastics is in Oversold conditions from Daily, Weekly and Monthly Fundamental Confluences: - Currently, Intel is trading at tangible book value ( thevalue you will get if the company gets liquidated) - At such value, chances of a takeover might be there which means, potential premium to be paid on takeover news? - After weak Q2 earnings, does it mean anything if the CEO starts buying the stock himself? ________________________________ With deep discount in NASDAQ:INTC 's value, another no-brainer and minimal risk. Intel is not going to liquidate. Will be expecting a turnaround and definitely a Long-Term hold in my portfolio. Remember, DYOR. ________________________________ Boosts 🚀, Follows ✌️, Shares 🙌 & Comments ✍️ are much appreciated! If you have any ideas or charts, do share them in the 'Comments' section below and we can discuss our perspectives to improve or strengthen our strategies. If you want something analyzed, do drop me a DM. :D ________________________________ Disclaimer: The above suggestion is an personal opinion in general and does not constitute as investment advice. Any decisions taken based on the above suggestion is purely your own risks. DYOR.
NASDAQ:INTCLong
by weekendanalyst
Trade Like A Sniper - Episode 21 - INTC - (7th June 2024)This video is part of a video series where I backtest a specific asset using the TradingView Replay function, and perform a top-down analysis using ICT's Concepts in order to frame ONE high-probability setup. I choose a random point of time to replay, and begin to work my way down the timeframes. Trading like a sniper is not about entries with no drawdown. It is about careful planning, discipline, and taking your shot at the right time in the best of conditions. A couple of things to note: - I cannot see news events. - I cannot change timeframes without affecting my bias due to higher-timeframe candles revealing its entire range. - I cannot go to a very low timeframe due to the limit in amount of replayed candlesticks In this session I will be analyzing Intel (INTC), starting from the 6-Month chart.
NASDAQ:INTCEducation
by Road_2_Funded
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
Intel - Reversing to the upside!Hello Traders and Investors, today I will take a look at Intel . -------- Explanation of my video analysis: On the chart of Intel there are actually two major horizontal structure levels which you have to keep an eye on. First of all there is quite strong support at the $26 level and just a couple of months ago Intel rejected this support towards the upside. Vice versa there is resistance at the $44 level, always pushing price lower. As we are speaking Intel is also retesting a minor support so there is the chance to capitalize on a short term bounce. -------- Keep your long term vision, Philip (BasicTrading)
NASDAQ:INTCLong
by basictradingtv
1
Intel - Stop the bleeding!Hello Traders and Investors, today I will take a look at Intel . -------- Explanation of my video analysis: In the beginning of 2023 Intel stock retested a multi year long horizontal structure at the $26 level. Here Intel created bullish confirmation and took off, creating a crazy rally of +100% within a couple of months. Then we saw a false breakout towards the upside which was followed by an incredible sell off. At the moment Intel is retesting support so we might see a short term short covering rally. -------- Keep your long term vision, Philip (BasicTrading)
NASDAQ:INTCLong
by basictradingtv
28
🍌🍌 SUPERMICRO — AI INFRASTRUCTURE STOCKS GO BANANA Supermicro is an American company, a major manufacturer of motherboards, cases, power supplies, cooling systems, SAS controllers, Ethernet and InfiniBand. The company specializes in the production of x86-server platforms and various components for servers, workstations and data storage systems. The headquarters is located in San Jose, USA. Founded in 1993. Supermicro, Inc., a provider of end-to-end IT solutions for cloud computing, artificial intelligence/machine learning, storage, and 5G/Edge communications, continues to expand its data center portfolio with NVIDIA end-to-end rack cabinet solutions HGX H100 equipped with liquid cooling systems. Supermicro's advanced liquid cooling technologies help reduce time-to-commissioning, improve performance levels, and reduce data center operating costs while dramatically reducing energy efficiency. It is estimated that when using Supermicro liquid cooling systems (compared to air-cooled data centers), data centers save up to 40% in terms of power costs. In addition, direct cooling costs can be reduced by up to 86% compared to existing data centers. "Supermicro continues to lead the industry by meeting the ever-growing needs for AI systems and modern data centers around the world," said Charles Liang, President and CEO of Supermicro. AI-optimized racks powered by Supermicro's latest product lines, including server product lines from AMD, can be quickly created from standard engineering templates and easily customized to meet unique user requirements. The ultra-modern GPU liquid cooling server includes dual processors from NASDAQ:INTC or NASDAQ:AMD and four or eight interconnected NVIDIA ( NASDAQ:NVDA ) HGX H100 Tensor Core GPUs. The use of liquid cooling systems can reduce the energy consumption of data centers by up to 40%, which in turn leads to lower operating costs. In addition, both systems significantly outperform previous generation NVIDIA HGX GPU-powered solutions, delivering up to 30x performance gains and improved efficiency of today's Transformers with faster connections between GPUs and networks and storage built with PCIe 5.0 standard. The technical picture illustrates the possibility of continued explosive growth in Supermicro shares, which are up more than 160 percent since the beginning of the year.
NASDAQ:SMCI
by PandorraResearch
17
Intel Stock: Quantum Leap in Technology, Potential Takeoff for IThesis: Intel's recent breakthrough in silicon spin qubits has the potential to revolutionize quantum computing. This advancement could lead to high-volume production of miniaturized quantum processors and interconnected processor networks, significantly boosting Intel's stock price. Key Points: * Intel achieved **99.9% gate fidelity** in silicon-based quantum processors, a significant milestone for scalable and fault-tolerant quantum computers. * This breakthrough leverages Intel's expertise in CMOS manufacturing, enabling **mass production** of quantum processors on a single chip. * Intel envisions a network of interconnected processors, creating a stable and powerful quantum computing platform. * Democratization of quantum computing on silicon could benefit the entire industry and unlock new possibilities. Investment Recommendation: * **Long INTC** with entry at $32.80. * Price targets range from $34.61 to $70, with potential for significant upside. * Stop-loss recommendation at $24.63 for risk management. Why This Matters to Traders: * Intel's leadership in quantum computing positions them for major growth in a rapidly developing field. * The potential applications of quantum computing are vast, impacting various industries and sectors. * Early investment in Intel could provide substantial returns as quantum computing matures.
NASDAQ:INTCLong
by signalmastermind
Intel - What is going on?Hello Traders and Investors, today I will take a look at Intel Corporation. -------- Explanation of my video analysis: In April of 2022 we saw a major break towards the downside on Intel stock which was then followed by more bearish continuation of roughly -65%. Then Intel retested a multi year long structure and created a pretty decent bullish reversal and a strong (short covering rally). At the moment Intel just rejected previous structure and is now in a massively bearish market soit is best to just wait for this volatility to calm down. -------- Keep your long term vision, Philip (BasicTrading)
NASDAQ:INTCLong
by basictradingtv
18
Intel's Gaudi 3 AI Chip Unveiled: A Race Against NvidiaIntel ( NASDAQ:INTC ) has raised the stakes in the competitive arena of artificial intelligence (AI) chips by unveiling its latest innovation, the Gaudi 3. As chipmakers intensify their efforts to produce semiconductors capable of training and deploying complex AI models, Intel's Gaudi 3 emerges as a formidable contender, poised to challenge Nvidia's dominance in the AI chip market. With promises of superior performance and energy efficiency, Intel aims to carve out a significant share in this rapidly evolving landscape, signaling a new chapter in the battle for AI supremacy. Gaudi 3: A Leap Forward in AI Chip Technology: Intel's Gaudi 3 chip represents a significant advancement in AI chip technology, boasting impressive power efficiency and enhanced performance capabilities. With claims of being over twice as power-efficient and one-and-a-half times faster than Nvidia's H100 GPU, the Gaudi 3 sets a new benchmark for AI processing efficiency. Designed to cater to a range of AI applications, from deployment training, the Gaudi 3 showcases Intel's commitment to innovation and technological excellence. Rivalry with Nvidia: The unveiling of the Gaudi 3 signals Intel's intent to challenge Nvidia's dominant position in the AI chip market. With Nvidia currently holding an estimated 80% market share, Intel's entry poses a significant threat to Nvidia's supremacy. Intel's competitive pricing strategy, coupled with its distinctive features such as the integrated network on chip, positions the Gaudi 3 as a compelling alternative to Nvidia's offerings. Expanding Market Opportunities: As the demand for AI chips continues to surge, fueled by the growth of cloud computing and AI-driven applications, Intel sees significant expansion opportunities. In particular, the data center AI market is expected to witness robust growth as cloud providers and businesses invest in AI infrastructure. With the Gaudi 3 poised to address the evolving needs of AI builders and developers, Intel aims to capitalize on these market trends and capture a larger share of the AI chip market. Collaborative Ecosystem and Open Software Approach: In its pursuit of market leadership, Intel is adopting a collaborative approach, partnering with industry giants such as Google, Qualcomm, and Arm to develop open software solutions for AI. By fostering an open ecosystem and providing software flexibility, Intel aims to empower customers with the freedom to choose their preferred chip providers, challenging Nvidia's proprietary software suite. Conclusion: Intel's unveiling of the Gaudi 3 AI chip marks a significant milestone in the company's quest to challenge Nvidia's dominance in the AI chip market. With promises of superior performance, energy efficiency, and competitive pricing, the Gaudi 3 emerges as a potent contender in the race for AI supremacy. As Intel continues to innovate and expand its presence in the AI ecosystem, the competition between chipmakers intensifies, promising exciting developments and advancements in the field of artificial intelligence. Note: Intel's Gaudi 3 chip is expected to be available to customers in the third quarter, heralding a new era of AI processing capabilities.
NASDAQ:INTCLong
by DEXWireNews
RiskMastery's Red Flag Stocks - INTEL EditionWelcome to RiskMastery's Red Flag Stocks - Stocks with bearish potential. In this edition, we'll be looking at NASDAQ:INTC ... I believe this code is at a point of potential volatility. If price can hold below $38.71 ... Bearish potential may be unlocked. My key downside targets include: - $35.15 (Conservative) - $30.25 (Medium) - $26.21 (Aggressive) If however price breaks above $42.94 ... Bullish potential may be unlocked. (My key risk targets - C, M,& A - are as noted on the chart) Enjoy, and I look forward to being of further service into the future. If you'd like to connect, feel free to reach out and comment below. Mr RM | Risk Mastery Disclaimer: This post is intended for educational purposes only - Publicly available RiskMastery information & content is not intended to be financial advice in any shape or form. Please do your own research and seek advice from a licensed professional before acting on any of the information contained within this post. This post is not a solicitation or recommendation to buy, sell or hold any positions in any financial instrument. All demonstrated trades are merely incidental to the educational training RiskMastery aims to provide. You are solely responsible for your own investment and trading decisions, of which should be made only according to your own opinion, knowledge and experience. You should not rely on any of the information contained on this site or contained in any RiskMastery material on any website or platform. You assume the sole risk of any trade or investment you elect to make. RiskMastery and affiliates shall not be liable to you for any monetary losses or any other damages incurred directly or indirectly, from your use, reliance or reference of RiskMastery materials, content and educational information. Thank you for your understanding and cooperation - We look forward to working with you into the future to navigate the fine line of trading and investment success.
NASDAQ:INTCShort
by Bullfinder-official