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19 seconds ago
Call Traders Unfazed by Nvidia (NVDA) Stock’s Slow Start
By: Schaeffer's Investment Research | January 13, 2025
• Nvidia stock saw the most options activity of all equities over the last 10 days
• A flashing bull signal could provide even more tailwinds
Semiconductor giant Nvidia Corp (NASDAQ:NVDA) was the standout stock of 2024, fueled by surging demand for artificial intelligence (AI) chips. However, the company is off to a slower start in 2025, down 1.9% year-to-date, though options traders remain highly active in NVDA.
The stock recently reappeared on Senior Quantitative Analyst Rocky White's list of equities with the highest options volume over the past two weeks. Specifically, 43,342,600 calls and 19,515,287 puts were traded in the last 10 sessions — the most of any stock on the list. Notably, the weekly 1/10 150-strike call was the most traded contract.
Call traders are in luck, too, as NVDA's pullback puts it near a historically bullish trendline. The security is just beneath its 80-day moving average. According to separate data from White, Nvidia stock saw five similar signals during the past three years. The equity was higher a month later 80% of the time, and averaged an 8.7% gain.
Shares were last seen 2.8% lower at $132.17. A move matching the historical average gain would push Nvidia above $143, putting it back on track to challenge its Jan. 7 record high of $153.13. This pullback — with the stock down 11.5% over the past week but still boasting a 141% year-over-year lead — could offer an intriguing entry point.
Now looks like a great opportunity to bet on the equity's next moves with options, as it sports a Schaeffer's Volatility Index (SVI) of 43% that sits at the low 6th percentile of readings from the past 12 months, meaning premiums are affordably priced at this time.
Plus, the stock's Schaeffer's Volatility Scorecard (SVS) ranks at 81 out of a possible 100. This suggests Nvidia stock usually exceeded options traders' annual volatility expectations.
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DiscoverGold
46 minutes ago
3 Reasons Why Growth Investors Shouldn't Overlook Nvidia (NVDA)
By: Zacks Investment Research | January 13, 2025
Growth investors focus on stocks that are seeing above-average financial growth, as this feature helps these securities garner the market's attention and deliver solid returns. But finding a great growth stock is not easy at all.
In addition to volatility, these stocks carry above-average risk by their very nature. Also, one could end up losing from a stock whose growth story is actually over or nearing its end.
However, the task of finding cutting-edge growth stocks is made easy with the help of the Zacks Growth Style Score (part of the Zacks Style Scores system), which looks beyond the traditional growth attributes to analyze a company's real growth prospects.
Our proprietary system currently recommends Nvidia (NVDA) as one such stock. This company not only has a favorable Growth Score, but also carries a top Zacks Rank.
Studies have shown that stocks with the best growth features consistently outperform the market. And for stocks that have a combination of a Growth Score of A or B and a Zacks Rank #1 (Strong Buy) or 2 (Buy), returns are even better.
Here are three of the most important factors that make the stock of this maker of graphics chips for gaming and artificial intelligence a great growth pick right now.
Earnings Growth
Earnings growth is arguably the most important factor, as stocks exhibiting exceptionally surging profit levels tend to attract the attention of most investors. And for growth investors, double-digit earnings growth is definitely preferable, and often an indication of strong prospects (and stock price gains) for the company under consideration.
While the historical EPS growth rate for Nvidia is 72.8%, investors should actually focus on the projected growth. The company's EPS is expected to grow 126.8% this year, crushing the industry average, which calls for EPS growth of 69.7%.
Cash Flow Growth
Cash is the lifeblood of any business, but higher-than-average cash flow growth is more beneficial and important for growth-oriented companies than for mature companies. That's because, high cash accumulation enables these companies to undertake new projects without raising expensive outside funds.
Right now, year-over-year cash flow growth for Nvidia is 303.7%, which is higher than many of its peers. In fact, the rate compares to the industry average of -14.3%.
While investors should actually consider the current cash flow growth, it's worth taking a look at the historical rate too for putting the current reading into proper perspective. The company's annualized cash flow growth rate has been 50.2% over the past 3-5 years versus the industry average of 2.2%.
Promising Earnings Estimate Revisions
Beyond the metrics outlined above, investors should consider the trend in earnings estimate revisions. A positive trend is a plus here. Empirical research shows that there is a strong correlation between trends in earnings estimate revisions and near-term stock price movements.
The current-year earnings estimates for Nvidia have been revising upward. The Zacks Consensus Estimate for the current year has surged 0.4% over the past month.
Bottom Line
Nvidia has not only earned a Growth Score of A based on a number of factors, including the ones discussed above, but it also carries a Zacks Rank #2 because of the positive earnings estimate revisions.
You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here.
This combination indicates that Nvidia is a potential outperformer and a solid choice for growth investors.
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ShawnP123
2 hours ago
May want to put those blinders on now.
https://finance.yahoo.com/news/nvidia-stock-falls-after-biden-administration-releases-updated-export-rule-for-ai-chips-151755666.html
For those of you who want to ignore the site, I've listed one of the key component.
Citi analyst Atif Malik said that while the news was "not too surprising," the new 50,000 GPU export cap on 120 countries presents "risks" to Nvidia's sales of GPUs for data centers, which make up the vast majority of Nvidia of GPUs for data centers, which make up the vast majority of Nvidia revenue.
Now Biden is not the sharpest knife in the drawer and he's putting leg irons on a number of American businesses. Just like he did with some of his other economic failures. He's not going to restrict China for long. They have even more incentive to become the leader in chip design and manufacturing. They have more students enrolling in physics programs with intention of becoming physicists. He if wanted to restrict anything which would slow China down, he should restrict Chinese national's enrollment into US colleges. But then again where would we get our future professors. So peanut gallery just ignore this post. It won't mean that much to you.
Jetmek_03052
3 hours ago
Mark Zuckerburg's comments on Quantum computing:
"I'm not really an expert on quantum computing, but my understanding is that's still quite a ways off from being a very useful paradigm," he said during an appearance on Joe Rogan's podcast published Friday, adding that many people think the technology is likely a "decade plus out."
Now, Zuckerburg admits he's not an "expert" on quantum computing....but do you think he has a better perspective than most about it?
Certainly better than many who say that full blown Quantum computing is here NOW....or even 12-24 months away.
So it looks like so far, at least TWO of the Mag 7's CEO's have stated that true, full blown Quantum computing is years out (stating a decade or more).
To be clear, I am not dissing quantum computing. I look forward to it and I am excited that the development of it seems to be accelerating.
doc2016
4 hours ago
gemini ai says:"any work of asic having fpga capabilities in programming via memristor technology?
You're definitely thinking ahead of the curve! While a fully realized ASIC with FPGA-like reprogrammability using memristor technology isn't widely available yet, there's active research and development in this area.
Here's what makes this concept so intriguing and the challenges involved:
The Appeal of Combining ASICs, FPGAs, and Memristors:
Performance of ASICs with Flexibility of FPGAs: ASICs excel in performance and power efficiency, while FPGAs offer reprogrammability. Combining these advantages would be a significant breakthrough.
Memristors as the Key: Memristors, with their non-volatile memory and unique switching properties, are seen as a potential enabler for this kind of hybrid chip. They could be used to create reconfigurable interconnects or logic blocks within an ASIC.
Research and Development Efforts:
Academic Research: Several research groups are exploring architectures and designs for memristor-based reconfigurable ASICs. They are investigating how memristors can be used to implement logic functions, routing, and memory within an ASIC fabric, allowing for post-fabrication reprogramming.
Industry Exploration: Some companies are likely exploring this technology behind the scenes, but public information is limited due to the competitive nature of this field.
Challenges:
Memristor Technology Maturity: Mass production and reliability of memristors still need further development.
Circuit Design Complexity: Designing circuits with memristors that can be reliably reprogrammed poses significant challenges.
Programming Infrastructure: Developing efficient tools and methods for programming these hybrid chips is crucial.
Potential Applications:
AI Acceleration: Reprogrammable ASICs could adapt to evolving AI algorithms and workloads, offering performance advantages over fixed-function ASICs.
Edge Computing: Flexible ASICs could enable edge devices to be reconfigured for different tasks, adapting to changing environments and requirements.
5G and Beyond: Reconfigurable ASICs could support the evolving needs of advanced communication networks.
Keeping Track of Developments:
Research publications: Follow academic journals and conferences in the fields of nanotechnology, materials science, and computer architecture for the latest research on memristor-based reconfigurable ASICs.
Patent filings: Monitor patent databases for inventions related to this technology.
Industry news: Stay updated on news from semiconductor companies and research institutions for any announcements about breakthroughs in this area.
It's an exciting area to watch! While it might take some time for this technology to become mainstream, the potential benefits are significant, and research progress is promising."
IanFromSI
5 hours ago
But they aren't 20 years away either.
Quantum will always be for specialized applications like the ones Kona has been posting. The visionaries in those industries (asraZeneca for example) are already using the few systems available to perfect their algorithms and code. They are reporting success and useful results.
Wow!! if you’re gonna say it doesn’t take two decades, don’t immediately follow that by an example which could easily take two decades or more before an approvable drug emerges from the experiment.
All you’ve done is prove that you have no clue whatsoever what it takes to identify a potential drug get all of the pre-clinical assessments successfully completed before going through a rigourous clinical approach (phase, one trials, phase 2 trials, and at least two successful phase 3 trials), which may lead to the Drug candidate being rejected, utterly, or provisionally approved, subsequent to other work being completed, or an approved drug.
Finding a molecule using quantum assisted processes is not going to speed up the Drug approval process, which will cost probably at least $1 billion and take close to a decade, sometimes more.
You say that AstraZeneca is already reporting success and useful results. Please provide a link or links to any of that “BS“ it’s your imagination at work and not a description of reality.
I would strongly suggest that you constrain any amount that you’re investing to your highest risk allocation. Given the extent to which you aggressively choose to ignore reality, the probability of losing everything is sharply increased.
But, GLTY. You definitely gonna need it.
Jetmek_03052
5 hours ago
It might be affecting all the chip companies, but I doubt to a giant degree.
As I said, my belief is that NVDA follows the direction of the market it is on. You can SEE it happen.
ALL the markets right now are looking at bad news regarding the probable future direction of interest rate cuts and the Fed's plan to implement them. Right now, it's looking like even if there ARE cuts, they won't be the size or the frequency that pleases the market. The market is ALWAYS forward looking, and it doesn't like the future outlook.
Stocks will continue to be battered until that forward looking opinion changes for the good.
I think that NVDA's business outlook will continue to be somewhat affected by government policy. I do not believe the incoming administration will change from the viewpoint of the current administration - related to the export of sensitive and advanced technology. Time will tell.
Jetmek_03052
6 hours ago
My "pick"?
I won't put a number on it because it's ridiculous to do so.
Review my post. I said this is trading in a narrow channel between $130 and $150 and (if the 4thQ numbers are as good as expected), that I expect the stock price will break out to the upside. I don't have a crystal ball, however. I've always said - anything could happen.
Not only were the analysts wrong on 2024 but looks like they might also be wrong on 2025
"Looks like"?? Once again, you are giving opinion on something that you have very little data on. You cannot POSSIBLY know what the financials will reveal about NVDA's business for the next six months, or how the stock price will be driven by investors. You once again blanket your opinion to the negative side for the next six months, knowing absolutely NOTHING for certain.
You champion AVGO, yet the chart shows it has performed worse than NVDA over a similar time period.
PennyWorld
8 hours ago
2025 Price forecasts for NVDA (pulled via AI - ChatGPT) ....
Analysts have provided various price projections for NVIDIA Corporation (NVDA) for 2025, reflecting optimism about the company's growth in the AI and semiconductor sectors. Here's an overview of these projections:
Longforecast.com anticipates NVDA's stock price to reach approximately $269 by December 2025, indicating a potential increase of about 98% from the current price.
Coinpriceforecast.com projects the stock to hit $200 by the end of 2025, suggesting a potential rise of around 47%.
Stockanalysis.com reports that 40 analysts have an average 12-month price target of $167.85, with estimates ranging from $87 to $220. This average target implies a potential upside of approximately 23% over the next year.
MarketBeat indicates that 43 Wall Street analysts have an average 12-month price target of $164.63 for NVDA, with a high estimate of $220 and a low of $85, suggesting a potential upside of about 21%.
The Motley Fool predicts that NVDA's stock could surpass $200 in 2025, driven by strong demand for its AI-focused GPUs and data center products.
Jetmek_03052
1 day ago
If you are saying that full blown quantum computers with full quantum capabilities are in use TODAY? You are COMPLETELY WRONG.
And I see your posts over on your other precious investment site, dissing Huang and NVDA. You are plainly pissed that Huang telling the TRUTH about full blown Quantum computers still being years away caused your investment value in other stocks to go down.
You are wrong. There are some limited computers using quantum technology that are in use. I'm not saying they don't exist. But quantum is in its infancy, and it is not as prevalent as you would have others believe.
There's issues with Qbit coherence, error correction, and the number of qbits used (scalability). Again, you speak as if everyone is using quantum computers to solve everything. They aren't widely used.
As much as you'd like to make everyone think that EVERYTHING is figured out in quantum computers? The truth is that they ARE years away from full development and commonplace use.
From Copilot, when questioned about Quantum computers:
Quantum computers are still in the experimental stage, and their use is limited to solving specific problems that classical computers struggle with. However, the field is rapidly advancing, and we can expect to see more practical applications in the coming years
You just want your stock price to go up, so you are yelling at the top of your lungs about how wonderful and advanced quantum is.
It ISN'T. It has a long way to go.
And QUIT SPAMMING IONQ on this board.
Konaploinks
1 day ago
Yes we are partnered with Nvda
COLLEGE PARK, MD - November 14, 2024 - IonQ (NYSE: IONQ), a leader in the quantum computing and networking industries, today announced its participation in SuperCompute 24 (SC24), taking place November 17-22 in Atlanta. SuperCompute, one of the largest international high-performance computing (HPC) events, gathers leading experts across HPC and adjacent research fields to showcase the latest developments and research in computing. This year, a dedicated quantum track and pavilion will be featured in the exhibit hall, spotlighting advancements in quantum computing. IonQ will be offering a preview of some of its newest innovations in hybrid quantum-classical computing, built to enable the development and deployment of quantum-accelerated commercial applications, including the IonQ Hybrid Services suite.
As a pioneering quantum computing and networking company dedicated to enabling practical, real-world commercial applications, IonQ has long championed integration with high-performance classical compute as key to unlocking quantum’s full potential in the enterprise. With the industry increasingly embracing hybrid platforms, IonQ is leading the way, seamlessly integrating IonQ’s best-in-class quantum hardware with leading classical hardware and software solutions to enable the quantum-accelerated supercomputing center of the future. At SC24, IonQ will give a first look at some of its latest software and hardware innovations that leverage classical and quantum backends to drive better performance and higher-quality solutions, and show how these capabilities have the potential to accelerate the industry’s path to commercial advantage.
Conference attendees will have the opportunity to connect with IonQ experts at Booth #4440, where they can learn more about quantum computing advancements and view demos with partners such as Ansys, AWS, Dell, Google and NVIDIA showcasing IonQ's cutting-edge approach to hybrid quantum computing.
“IonQ is committed to making quantum computing accessible and impactful in real-world applications, particularly through our efforts to integrate quantum with classical systems,” said Dr. Dean Kassmann, SVP of Engineering & Technology, IonQ. “At SuperCompute 24, we are excited to showcase how IonQ is maturing hybrid quantum-classical workflows that allow users to experience the full benefits of quantum computing when tackling the world’s toughest challenges.”
IonQ Hybrid Services – a suite of new capabilities now available in private preview with select partners – makes designing and deploying quantum-accelerated applications that take advantage of IonQ’s leading quantum hardware easier than ever. It includes flexible cloud-based, hosted services for hybrid workflow management, and powerful hybrid solvers and tools to help tackle commercially-relevant problem classes like quadratic optimization and graph partitioning. It supports a variety of common programming models and SDKs, including NVIDIA CUDA-Q, Qiskit, Cirq, Q# and more. It also includes the all new Hybrid Sessions functionality, which allows users to take advantage of IonQ’s dynamic Fair Share Scheduling engine to run their largest hybrid workloads with minimal wait time — ensuring low latency and fast time-to-solution, which is critical in an industry known for increasingly valuable and scarce computational resources.
IonQ’s hybrid demonstrations at SC24 are the latest in a series of technical milestones announced this year. Earlier this year, IonQ demonstrated remote ion-ion entanglement, a critical step toward quantum networking. More recently, IonQ announced a strategic partnership with NKT Photonics to deliver three innovative prototype optical subsystems in 2025, as well as a collaboration with imec to develop photonic integrated circuits (PICs) and chip-scale ion trap technology. Additionally, IonQ and Ansys are partnering to drive innovation in simulation and modeling, and will together share a presence at this year’s SC24.
To learn more about IonQ and its latest system news and business developments, visit https://ionq.com/.
They are not some time away. They are here now. Check out Forte Enterprise that the U S Air Force AFRL is currently using . Check out Quantum Basel in Switzerland who purchased their first Forte Enterprise. These are not 15 years away. They are here now and are also available to anyone to lease time on , on all 3 major cloud services. Ionq can have you up and running your problems in as little as 10 minutes. Problems that would take classical computers years to solve can be solved in minutes. Coming soon in 25 is Tempo. Which is even way more powerful . Quantum is now. Not next week. Now. Many corporations like Astra Zeneca , General Dynamics , Ansys, US Navy etc are partnering with IonQ now. Not 15 years from now. Read more. Knowledge is power.
Konaploinks
2 days ago
Is this why Jensen is so afraid of quantum developments?
Quantum memristors, while still theoretical, are a potential development in quantum computing and quantum technologies. A memristor (memory resistor) is a non-linear circuit element with memory capabilities, meaning its resistance changes based on the history of the current that has passed through it. These devices have shown promise in classical neuromorphic computing due to their ability to mimic synaptic behavior.
In the quantum realm, researchers are exploring whether similar concepts can be applied using quantum systems. A quantum memristor would be a device that exhibits memory-like behavior while maintaining quantum coherence and supporting superposition and entanglement. This would require overcoming several challenges, such as:
1. Material Design: Identifying materials or structures that exhibit memristive properties in the quantum regime.
2. Quantum States and Memory: Engineering a mechanism for storing and recalling quantum states while preserving coherence.
3. Integration with Quantum Circuits: Ensuring compatibility with qubits and other quantum components.
Potential Applications of Quantum Memristors
• Neuromorphic Quantum Computing: They could enable systems that emulate quantum neural networks, merging the advantages of quantum computing with brain-inspired architectures.
• Quantum Machine Learning: Quantum memristors might enhance machine learning by allowing for adaptive, memory-based operations in quantum algorithms.
• Energy Efficiency: These devices could reduce the energy requirements of quantum circuits by mimicking synaptic processes.
Current Research
Some theoretical frameworks and early experimental attempts have been made. For example:
• Researchers have proposed designs for memristors using quantum dots, superconducting circuits, or photonic systems.
• Studies in non-Markovian quantum systems—systems where memory effects arise—have provided insights into how quantum memory might be implemented.
While quantum memristors are still in their infancy, advancements in materials science, quantum mechanics, and neuromorphic engineering could make them a reality in the future.
Soon there will be QPU’s
doc2016
2 days ago
new mini supercomputer cpu...capabilities? gemini ai discusses how a cpu is involved in networking....? a potential for your own network, data, subscription computing/data/storage assets? would fit into nvidia, aws, msft, googgle, apple plans?
also, cuda-q to ensure connection to the quantum computer subscription/s you desire or need?
"does the cpu participate in networking, dynamic routing, and authentication?
While the CPU isn't directly involved in the physical transmission of data packets over a network, it plays a crucial role in many aspects of networking, including dynamic routing and authentication. Here's how:
Networking:
Packet Processing: The CPU handles the software that processes network packets. This includes tasks like examining packet headers, determining the destination, and forwarding packets to the appropriate network interface.
Network Stack Management: The CPU manages the operating system's network stack, which is responsible for handling network protocols, managing connections, and ensuring reliable data transfer.
Network Applications: The CPU runs various network applications, such as web browsers, email clients, and file transfer programs, which rely on network communication.
Dynamic Routing:
Routing Protocol Execution: The CPU executes the software that implements dynamic routing protocols (like OSPF or BGP). These protocols determine the best paths for data packets to travel across the network based on real-time conditions.
Routing Table Management: The CPU maintains the routing table, which stores information about network destinations and the best paths to reach them.
Route Calculation: The CPU performs the calculations necessary to determine optimal routes based on information from routing protocols and network conditions.
Authentication:
Authentication Protocol Execution: The CPU executes the software that implements authentication protocols (like Kerberos or RADIUS). These protocols verify the identity of users and devices attempting to access the network.
Encryption and Decryption: The CPU performs the computationally intensive tasks of encrypting and decrypting data for secure network communication.
Credential Storage and Management: The CPU manages the storage and retrieval of user credentials, such as usernames and passwords, for authentication purposes.
In Summary:
The CPU acts as the "brain" of a networking device, handling the complex software and calculations necessary for network communication, dynamic routing, and authentication.
While specialized hardware like network interface cards (NICs) and routers handle the physical aspects of data transmission, the CPU plays a critical role in managing and securing the overall network.
Sources and related content
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