INTEL almost to the high of this correctionI believe we are about to see some shizz in the markets.
This is the second 3/4 in the wave 3 leading to the 5th wave down. BUT THAT IS ONLY THE 5TH WAVE OF 3.
When wave 5 starts I expect it to be dirty and possibly break $10 with a wick. After that the central banks will print us all into hyperinflation. If that happens we will see new ATHs for almost everything.
The actual everything bubble.
NOT FINANCIAL ADVICE!!!
Intel
Technical Analysis on Intel (INTC)Using long-term volume analysis with the Volume Profile, we observe that Intel's ( INTC ) current price has moved below a significant monthly Point of Control (POC). To gain a clearer perspective, it will be crucial to wait for the monthly close to determine whether the price remains above or below this POC level.
By zooming in to the daily or H4 timeframe, we notice a potential rounding formation in both the candlesticks and volume, indicating a possible shift in trend direction.
Bullish Scenario:
To confirm a bullish scenario, it will be necessary to wait for a monthly close above the POC. This signal will be strengthened if the volumes increase as well.
Bearish Scenario:
If the price stays below the POC, the bearish scenario suggests potential targets, as illustrated in the image below. It may be possible to consider short entries at the levels indicated as Target 2 and Target 3.
Is Intel's New Process Node a Game-Changer?Intel's latest reveal, the Intel 3 process node, promises to revolutionize the tech landscape with substantial performance and efficiency gains. But could this be the strategic breakthrough Intel needs to outmaneuver its competition?
Enhanced Performance and Density for Leading-Edge Computing
Intel's commitment to process technology leadership leaps forward with the Intel 3 process node, boasting an impressive 18% performance improvement and a 10% density increase over the previous generation. Tailored to meet diverse customer needs, Intel 3 offers four distinct variants, each optimized for specific applications, from high-performance computing to AI.
First Leading-Edge Foundry Node Drives Ecosystem Growth
Intel 3 marks a pivotal shift in Intel's strategy, as its first leading-edge process technology is made available to external customers through Foundry services. This move positions Intel as a key player in the foundry market, potentially reshaping the competitive landscape.
Manufacturing Readiness and High-Volume Production
Achieving manufacturing readiness in late 2023, the Intel 3 node has successfully transitioned to high-volume production, powering the Intel Xeon 6 processor family. This real-world application demonstrates its capability in server-grade computing solutions, solidifying Intel's technological prowess.
A Stepping Stone to the Future of Computing
As the final evolution of Intel's FinFET technology, the Intel 3 node provides a robust foundation for future advancements, paving the way for the forthcoming RibbonFET technology and the Angstrom era with Intel 20A and 18A process nodes.
Curious to know more about how Intel's latest innovation could impact the future of computing? Dive into the full analysis and uncover the potential ripple effects on the semiconductor industry.
INTC (Intel) Swing Trade idea.I have the feeling it may go lower, but I reckon the oversold is at a level that suggests it may push up enough to make a decent profit before that. Then re-entry at the lower level for another swing. I suspect 2 weeks (or so) of higher levels despite bad news etc. My biggest fear with these trades is no economic mote, but Government contracts typically indicate some type of sustainability. Not trading advice.
The Chips Act's Biggest Beneficiary may be...Intel!The Biden administration is nearing completion of allocating $39 billion in grants under the CHIPS and Science Act, aimed at revitalizing the U.S. semiconductor industry. However, the real challenges lie ahead.
1.The CHIPS Act, passed two years ago, is a bold attempt to bring advanced chip production back to the U.S., betting on Intel, Micron, TSMC, and Samsung. The goal is to produce 20% of the world's most advanced processors by 2030, up from nearly zero today.
2.Key to this effort is Mike Schmidt, who leads the CHIPS Program Office (CPO) at the U.S. Department of Commerce. His team, composed of experts from Washington, Wall Street, and Silicon Valley, aims to reduce reliance on Asia, particularly Taiwan, as chips are essential for everything from microwaves to missiles.
3.The CHIPS Act outlines specific goals and capacity expectations, as shown in the chart. According to BCG forecasts, by 2032, the U.S. is expected to produce about 14% of the world's wafers, up from the current 10%. Without the Act's support, this figure would drop to 8% by 2032.
The immediate priority is to establish at least two major clusters for advanced logic chip manufacturing (the brains of devices). Officials also aim to build large-scale advanced packaging facilities, which are crucial for connecting chips to other hardware. Additionally, they seek to boost the production of traditional chips, as the U.S. is concerned about China's growing capacity in this area. Advanced DRAM memory, essential for AI development, is also a focus.
4.Intel is a major beneficiary of the CHIPS Act, receiving $8.5 billion in direct assistance and $11 billion in support loans from the U.S. Department of Commerce to support its over $100 billion chip investment plan. Intel also stands alone as the sole recipient of a $3.5 billion plan to produce advanced electronics for the military, despite controversy in Washington.
5.Other chip manufacturers face challenges. TSMC, Intel, and Samsung have committed to investing $400 billion in U.S. factories, but most have missed their targets due to various issues. For instance, TSMC has been reluctant to move its production lines and packaging capabilities from Taiwan, as chip packaging is seen as Taiwan's "trump card" in ensuring U.S. protection.
6.The broader challenge remains workforce shortages. McKinsey estimates that the U.S. semiconductor industry will face a shortage of 59,000 to 77,000 engineers in the next five years. Without immigration reform and a cultural shift toward hardware innovation, the U.S. may struggle to maintain its lead even if it builds new factories.
For individuals, pursuing a two-year technical degree at a community college could be a smart career move, as over 80 semiconductor-related courses have been introduced or expanded since the CHIPS Act was passed.
$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?
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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.
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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.
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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.
BOUNCE INCOMING!!This looks like a great area to anticipate a bounce.
Calculate Your Risk/Reward so you don't lose more than 1% of your account per trade.
Every day the charts provide new information. You have to adjust or get REKT.
Love it or hate it, hit that thumbs up and share your thoughts below!
This is not financial advice. This is for educational purposes only.
INTEL looks good! To me at least...Especially if we get some bad earnings to push that buy right down, might get a good low bid for a multi year long.
Easy stop loss target too / clear invalidation.
Its not like we wont need them anytime soon
Also bit of a widening upward accumulation cylinder / broadening wedge which I like
$INTC has its biggest run in a long timeNASDAQ:INTC has hit the 1st level.
We are being strategic and locking in some gains. We are over 10% profit mark in a few days & Intel is above the gap fill area, which was the 1st tranche of selling.
Still have a good sized position and wrote covered calls on 1/4 of the position.
NASDAQ:SMH NASDAQ:SOX
$INTC trade looking goodBuilt a larger than normal position on #Intel.
NASDAQ:INTC
The sell areas are highlighted by the yellow circles.
1st tranche around 34.5.
2nd tranche around 43.5.
3rd tranche around 49.
There will be a trailer left for a longer term hold/ This is with the hope that there is a turnaround in the company.
The last gap fill is in the low 60's.
NASDAQ:SMH
INTC - What It will look like if it doesn't turn Bearish This green curve on INTC may create a temporary support for price allowing the bull run to continue
I expect a double bottom if this occurs and then a bull move up towards the orange dotted line.
If the green line breaks it looks more bearish than bullish.
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.
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.
Intel - Reversing to the upside!Hello Traders and Investors, today I will take a look at Intel .
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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.
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Keep your long term vision,
Philip (BasicTrading)
Intel - Stop the bleeding!Hello Traders and Investors, today I will take a look at Intel .
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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.
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Keep your long term vision,
Philip (BasicTrading)
🍌🍌 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.