AMD
AMD 200 BY SEPTEMBER !AMD Long 200 BY SEPTEMBER
Forecast: According to Long Forecast, AMD’s stock price is expected to start September 2024 at around $174 and reach a maximum of $177, with an average price of approximately $167 by the end of the month. This projection suggests a -5.7% change from the initial value.
PandaForecast: The weighted average target price per AMD share for September 2024 is $151.81, with a possible monthly volatility of 6.201%. The pessimistic target level is $146.28, while the optimistic target level is $155.95.
Personal Finance Freedom: Their forecast indicates an average price of $170 for September 2024, reflecting an expected increase of approximately 14.8% during that month.
StockScan: The average price target for AMD stock in 2024 is $180.52, with a high forecast of $227.30 and a low forecast of $133.74. This represents a +10.14% change from the last recorded price of $163.90.
AMD broke above the 3-week Bull Flag. Major buy signal!On March 13 (see chart below) we issued a major sell signal on Advanced Micro Devices (AMD), as we saw the stock topping at the top (Higher Highs trend-line) of its 2-year Channel Up:
Our projection was materialized as the price corrected significantly by -37% and has almost reached the 1W MA50 (blue trend-line), which was the level that held, formed the latest Higher Low of the Channel Up and made us give a new long-term buy signal a month ago (while also the 1W RSI reached the symmetrical Support level of the October 2023 bottom (45.50)).
Today the buy sentiment got stronger than ever as AMD not only broke above the 4H MA50 (blue trend-line) but also above the giant Bull Flag pattern that started on the May 28 High. With the 1D MACD about to form a Bullish Cross, a very strong long-term buy signal emerges that call for a new Bullish Leg similar to at least the May 02 - 28 one.
If the prevailing structure is a Channel Up then expect a +23.65% rise, which puts our Target at $190.00 (just below the 1.5 Fibonacci extension).
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AMD: Daily and Weekly Chart Analysis.Daily Chart: Support Levels and Fibonacci Retracement
The daily chart of AMD highlights key support levels and Fibonacci retracement zones. The price recently bounced from a double support level at 153.49, which is both a gap support and a 61.8% Fibonacci retracement of the prior uptrend. This level's resilience suggests a strong buy zone.
The 21-day EMA at 161.47 is acting as a dynamic resistance. If it closes above this level could push the price towards the next resistance at 174.55. The support at 153.49 remains crucial, as a break below this could signal further downside towards 148.00 and 142.00.
Weekly Chart: Ascending Trend Line and Pivot Point
The weekly chart shows AMD trading above a long-term ascending trend line, indicating a sustained bullish trend. The 21-week EMA at 162.06 provides additional support, and it is very close to the 21 EMA on the daily chart, reinforcing the important of a breakout of this key point.
The price has a pivot point of 174.55. Holding above the trend line suggests bullish momentum, with the potential for the price to retest the resistance at 174.55. A break above this level could target the next resistance at 187.00, while a failure to hold above the trend line might lead to a pullback towards the 150.00 level.
Conclusion: Key Levels to Watch for Bullish Continuation
On the daily chart, the double support at 153.49 is critical. The weekly chart's ascending trend line and pivot point at 174.55 will guide the broader trend. Maintaining support above the key levels on both charts will be essential for a continued bullish outlook.
For more detailed technical analyses and insights like this, be sure to follow my account. Your support helps me continue providing valuable content to help you make informed trading decisions.
Remember, real trading is reactive, not predictive, so let's stay focused on the key points described above and only trade when there is confirmation.
“To anticipate the market is to gamble. To be patient and react only when the market gives the signal is to speculate.” — Jesse Lauriston Livermore
All the best,
Nathan.
AMD Investigating Potential Data Breach by Hacking GroupChipmaker AMD is facing a potential data security breach after a hacking group known as IntelBroker claimed to have stolen sensitive information. This information allegedly includes details on upcoming AMD products, customer databases, and internal documents. While leaked screenshots provide some evidence of a compromise, AMD is working with law enforcement to determine the full scope of the breach and mitigate any potential damage.
Investor Jitters and Competitive Risks: The news caused a slight dip in AMD's stock price as investors grappled with the potential consequences. If confirmed, the stolen data could significantly impact AMD's competitive edge, especially if information about future product lines and proprietary technologies is compromised. This wouldn't be the first time AMD has faced such a challenge – the company previously dealt with a data breach in 2022.
Cybersecurity Concerns in the Tech Sector: This incident underscores the escalating threat of cyberattacks within the technology industry. With a reported 78% increase in data breaches from 2022 to 2023, the need for robust cybersecurity strategies and vigilant monitoring is paramount.
Beyond AMD: Broader Implications: The potential breach highlights the far-reaching effects of cyberattacks. Stolen data sold on the dark web can be used for various malicious purposes, impacting not only the targeted company but also its partners, customers, and the entire industry.
Looking Forward: Lessons from the Investigation: As AMD investigates the claims, the outcome will be closely watched not just for its impact on the company's future but also for the broader lessons it offers in the ongoing fight against cybercrime. This incident serves as a stark reminder for all companies to remain proactive and continuously strengthen their cybersecurity defenses against increasingly sophisticated threats.
AMD: Survival ModeWill AMD be able to recover from this down-move? With Ichimoku crossing bearish and a lower high being placed, there is a high chance of the trend shifting bearish. With NVDIA booming and the tech sector on fire can AMD recover and start a new bullish move? Personally I'm waiting to see if we can gain some strength here as this area has served as support previously
Looking for a bullish possibility on AMD soon.🔉Sound on!🔉
Thank you as always for watching my videos. I hope that you learned something very educational! Please feel free to like, share, and comment on this post. Remember only risk what you are willing to lose. Trading is very risky but it can change your life!
The limits of silicon have been reachedNASDAQ:AMD
The limits of silicon have been reached, and computing machines have hit their maximum potential for many decades. There have been no real achievements since 1984; that was the year when the ceiling was reached. The supposed development has ended. Ray tracing and all sorts of AI crap based on thrice-recycled garbage are no longer suitable for consumption.
Advancements in computing technology have stalled, and innovation seems to have plateaued. Despite the hype around new technologies like AI and ray tracing, these developments rely on rehashed concepts and fail to deliver groundbreaking results. The industry needs a fundamental shift to overcome these limitations and achieve true progress.
AMD CALL Bought AMD Call
Strike $180
Expiry 14 Jun
Entry $2.50
Expecting AMD to reach
1st Target $184
2nd Target $193
Analysis as below:
Weekly TF:
1. Uptrend -- Above SMA200
Day TF:
1. Structure -- Inverse Head and shoulder (broke out of neckline, now retesting)
2. RSI -- bullish divergence
4hr TF:
1. MA -- Price closed above EMA 25 (blue)
2. Fib R -- Price closed above 0.618 Fib R aka $158 (uptrend in tact)
3. Confirmation candle -- printed green body candle after bouncing off EMA 25 and 0.618.
4. RSI -- not overbought yet/no bearish divergence (More room for upside)
Remarks:
Price is currently testing the resistance of SMA100(purple) for the 5th time.
The frequency of price testing to break SMA100 becoming shorter (Weaker selling pressure)
If price is able to close above SMA50(green) and SMA100(purple), expect AMD to rally in no time.
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.
ICT's Market Maker Model - An Easy to Understand GuideIn this video I try to explain ICT's Market Maker Model as simply as I can.
This model basically depicts how smart money efficiently facilitates their positions in the marketplace. It is important to understand some concepts beforehand, such as liquidity, AMD/PO3, market efficiency, crowd mentality, and the fractal nature of price.
I hope you find the video insightful and that it helps you utilize Market Maker Models in your trading.
- R2F
AMD introduces new MI325X AI chip, enhancing AI infrastructureAdvanced Micro Devices Inc. (AMD) has announced significant advancements in its processor architectures, including unveiling the new CPU, NPU, and GPU processors designed to power AI infrastructure from data centres to PCs. The highlight of the announcement was the introduction of the AMD Instinct MI325X accelerator, which boasts advanced memory capacity and is slated for release in Q4 2024.
In the future, AMD's roadmap includes the AMD Instinct MI350 series, which will incorporate the next-generation AMD CDNA™ 4 architecture expected in 2025. This new series promises up to 35 times better AI inference performance than the current AMD Instinct MI300 series with AMD CDNA 3 architecture. Additionally, AMD plans to continue its innovation streak with the CDNA 'Next' architecture for the MI400 series accelerators, for release in 2026.
In terms of investment opportunities, let's analyse the technical aspects of Advanced Micro Devices Inc. (NASDAQ: AMD):
On the Daily (D1) timeframe, AMD's stock has formed a resistance level at 174.55 USD and support at 157.90 USD. Although an uptrend is beginning, the stock is testing the support line. The next target could be 140.50 USD if the stock enters a downtrend.
However, if the uptrend resumes and breaks through the resistance at 174.55 USD, the short-term target is 203.30 USD. If the upward momentum continues, the price might rise to 227.70 USD for a medium-term investment strategy.
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Elliott Wave Analysis on AMD Suggest a Double CorrectionShort Term Elliott Wave in AMD suggests the rally from 5.01.2024 low is in progress as an impulse. Up from 5.01.2024 low, wave (1) ended at 174.56 as the 30 minutes chart below showing. Wave (2) pullback is currently in progress. The internal subdivision of wave (2) takes the form of a double three Elliott Wave structure. Down from wave (2), wave ((a)) ended at 168.75 low and wave ((b)) bounce ended at 171.51. The stock extended lower in wave ((c)) towards 162.91 which completed wave W.
The market rallied starting wave X also taking the form of a double three Elliott Wave structure. Up from wave W, wave ((w)) ended at 168.75 and pullback in wave ((x)) ended at 164.00. Wave ((y)) higher is in progress. We are looking a bounce in 3 swings to 169.88 – 173.51 area to end wave ((y)) and also wave X connector. Near term, as far as pivot at 174.56 high stays intact, expect the stock to extend lower.