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Nvidialong

NVIDIA - The best performing copany ,enjoy a Christmas RallyHi guys, we are looking into NVIDIA, the world's most successful company which has had a tremendeous year, looking to close it with fantastic results. Currently we are sitting in a low level oversold area on the RSI , which gives us a technical overview of forming an Ascending Channel from here onwards. Currently the Interest Rate decision by the FED will give us a necesasry boost to uplift the prices from this point forwards. Entry on market open: 134.03 Target 1: 140.98 Target 2: 150.78 As always my friends happy trading! P.S. If you have questions or inquiries about one of my existing set-ups or personal questions / 1 on 1 sessions consider joining my channel so you can follow up with me in private!
NASDAQ:NVDALong
by DG55Capital
NVIDIA's Declined over 10%, Why? When will be the Buy timing? NVIDIA fell nearly 4% today before narrowing the loss to 1.22%. Since hitting a record closing high of $148.88 in early November, the AI chip maker's stock has dropped over 10%. So, what is causing NVIDIA's decline? Firstly, Supply Chain Issues and Challenges NVIDIA faces multiple challenges in its supply chain, a significant factor in its stock decline. First, according to the latest data, the order volume and schedules for the GB200 and GB300 have been adjusted. Particularly, the mass production and shipment of GB series products have been postponed until after the Lunar New Year in February, increasing market uncertainty. Additionally, the small-scale production plans for GB300 face tight deadlines, putting pressure on GB200's mass production. Specific supply chain issues include CoWoS-L packaging technology, heating problems, copper cable connections, and leakage issues. These not only affect product yield rates but also increase system integration time costs. Consequently, NVIDIA has suggested customers purchase the B200 8-card HGX as a transitional solution, and clients like Microsoft are considering switching their orders. These supply chain issues affect NVIDIA's product delivery capabilities and reduce market expectations for its future performance. Secondly, Market Competition and Narrative Changes ASICs are gaining market recognition as a competitive narrative. ASICs are chips designed for specific tasks, akin to custom running shoes for a race. For certain tasks, ASICs outperform NVIDIA's GPUs (widely used for computing tasks) and are potentially cheaper. OpenAI co-founder Ilya and industry leaders like Microsoft's CEO Satya have started discussing the importance of not only training AI models but also ensuring they can quickly and accurately make decisions in real applications. This shift in perspective gives ASICs an advantage in some scenarios, as they are designed for rapid, precise execution of tasks. This raises questions about the cost of NVIDIA's GPUs. While powerful, they are expensive and require significant electricity and cooling. As ASICs perform better at lower costs for some tasks, there's consideration of replacing NVIDIA's GPUs with ASICs. Additionally, changes in scaling law narratives and the strengthening of inference narratives pose threats to NVIDIA. Scaling laws suggest that increasing AI model size (e.g., more neurons or layers) typically improves performance, but these gains are not infinite and require significant computational resources. This means NVIDIA must continually invest resources to improve product performance, potentially increasing costs. Moreover, companies like BTC, Tesla, and Google are investing heavily in their own AI chips or solutions. This intensifies market competition and challenges NVIDIA's leadership. Thirdly, Market Sentiment and Capital Flows Market sentiment and capital flow significantly impact NVIDIA's stock price. As the year ends, retail investors, ETFs, and institutions adjust their portfolios. Fluctuations in tech giants like Microsoft, Apple, and Google affect tech stocks like NVIDIA. Investors are more cautious, favoring stable, promising companies. Given these conditions, NVIDIA faces pressure on its stock price due to supply chain issues and competition. Lowered expectations for NVIDIA's future performance lead to capital outflows and stock price declines. Fourthly, Future Outlook and Catalysts Despite current challenges, NVIDIA has opportunities for a turnaround. First, NVIDIA needs to resolve supply chain issues, improve product yield, and delivery capabilities. Second, strengthening its presence in software and applications is crucial to addressing market competition. Additionally, NVIDIA should explore new computing narratives to expand its computing potential. Fifthly, Technical Analysis and Price Divergence Previously, prices rose continuously, but volume and KDJ began to decline, showing divergence. Without capital support, upward momentum was insufficient, leading to a short-term adjustment and a break below the mid-term trend line, resulting in a mid-term callback. When Might a New Rally Occur? From a technical analysis perspective: After two prior mid-term adjustments, breaking the downward trend line may signal the start of a new rally. Thus, this new rally must first break the resistance line. From a catalyst perspective: While January's CES and the earnings release in late February may not bring major surprises, March's GTC is worth anticipating. NVIDIA needs to showcase new technologies and products at this event to restore market confidence. If NVIDIA can introduce groundbreaking innovations, a stock rebound is possible.
NASDAQ:NVDA
by xugina78
Long entry in NVIDIA! Fibonacci Analysis and Strategy¡Hi traders! Today, I’m sharing a long trade setup in NVIDIA (NVDA) that I’ve been watching closely. Let me walk you through my analysis and the plan I have for this entry. Take a look at this: the Fibonacci retracement is perfectly drawn, from the recent low to the high, and now the price is reacting right at the key 0.618 level—a super important zone for potential buy entries! On top of that, the RSI is holding above 50, signaling bullish momentum with room to grow before hitting overbought conditions. Here’s my plan: - Entry: I’m entering now, taking advantage of the breakout and support confirmation at the 0.618 level. - Stop Loss: I’ve set my stop slightly below the 130 level, just in case the price makes a deeper pullback. - Take Profit: - My first target is 154.67, which is the 1.0 Fibonacci level. - If the bullish momentum continues, I’ll aim for 194.51 at the 1.618 extension. What I love about this setup is that the volume doesn’t show any major weakness, and the overall trend is still intact. Of course, always remember to manage your risk—trading is all about probabilities, not guarantees. What do you think of this trade? Would you take this long entry with me? Let me know in the comments, and don’t forget to subscribe to the channel for more analysis like this. See you in the next idea, traders! 🚀📈 Disclaimer: This content is for educational and informational purposes only. It does not constitute financial advice or investment recommendations. Remember, trading involves risks, and every trade should be analyzed based on your own risk profile. Always consult a professional before making financial decisions. Trade responsibly and manage your risk!
NASDAQ:NVDALong
by MetalsMine
14
NVIDIA Analysis - Personal viewNVIDIA remains a leader in AI-driven markets, benefiting from demand for GPUs in data centers, gaming, and AI development. Its AI and machine-learning capabilities are shaping industries like autonomous vehicles and healthcare. However, valuation concerns and risks tied to macroeconomic shifts or supply chain vulnerabilities may pressure the stock. Looking ahead to 2025, my personal target for NVIDIA lies between $200 and $250. This range reflects a cautious approach, factoring in potential earnings normalization, adjustments in investor sentiment, and the broader tech sector's resilience in an evolving economic environment. *This is not financial advice.
NASDAQ:NVDALong
by Charts_M7M
NVIDIA I Set for Potential 20%+ Upside – Key Level Buy Welcome back! Let me know your thoughts in the comments! ** NVIDIA Analysis - Listen to video! We recommend that you keep this pair on your watchlist and enter when the entry criteria of your strategy is met. Please support this idea with a LIKE and COMMENT if you find it useful and Click "Follow" on our profile if you'd like these trade ideas delivered straight to your email in the future. Thanks for your continued support!Welcome back! Let me know your thoughts in the comments!
NASDAQ:NVDALong
by BKTradingAcademy
1
NVDA Analysis – Watching Key Levels! Hello Folks Alright, here’s what I’m seeing on NVDA. We’re still bullish for now, but I’ve marked the level where things could shift if it breaks. First Entry: Around $140, expecting support to hold and price to bounce. Second Entry: If price breaks $151, I’ll look to add at $148 after a retest for continuation. Targets : TP1: $151.69 TP2: $162.66 Stops below $136, keeping it tight in case the CHOCH level breaks and we start heading lower. For now, the setup looks solid. Let’s see if $140 holds, or if we dip lower before the next move. What’s your thought, folks?
NASDAQ:NVDALong
by QuantumFusion
2
NVDIA - Arguments For BullsMedianlines (Pitchforks) do not forecast. They PROJECT the most probable path of price. At each moment in time, a "Medianline/Pitchfork Analyst" can relay on the rules and the framework they provide. In this case I see the following arguments for a continuation to the upside: - price is above the Center-Line - price did test the CL two times and hold - price was attempted to test the CL a third time, but was even too strong to reach it, and is now in this very momentum to the upside - when price trades towards a Medain-Line but can't reach it, it's a sign that price will continue the direction it had before (up in this case). The next Target is the "next" Medianline, which is the U-MLH (Upper-Medianline-Parallel) - price broke the blue-dashed A/R line to the upside All said, we have to keep in mind that there is also a opposite side of the Coin. I will provide another Chart Analysis with "Arguments For Bears".
NASDAQ:NVDALong
by Tr8dingN3rd
Exploring Nvidia's India Strategy: AI and LanguageNvidia, a leading technology company, has solidified its commitment to India with a series of significant announcements. The company unveiled a Hindi language model and forged strategic partnerships with major Indian corporations, underscoring its ambition to drive AI innovation and language technology in the country. One of the most notable partnerships announced by Nvidia is with Reliance Industries, led by billionaire Mukesh Ambani. The two companies have outlined plans to build AI infrastructure in India, leveraging Nvidia's cutting-edge hardware and software solutions. This collaboration aims to accelerate AI research, development, and deployment across various sectors, including healthcare, agriculture, and education. In addition to the partnership with Reliance, Nvidia also launched Nemotron-4-Mini-Hindi 4B, a small language model specifically designed for the Hindi language. Hindi, as the most widely spoken language in India, holds immense cultural and economic significance. The availability of a powerful Hindi language model will enable developers to create innovative applications and services tailored to the needs of Hindi-speaking users. Nvidia's investment in India comes at a time when the country is experiencing a surge in AI adoption and development. The government's initiatives to promote digital transformation and innovation have created a favorable environment for technology companies to thrive. By partnering with leading Indian firms and investing in language technology, Nvidia is positioning itself as a key player in India's AI ecosystem. The launch of the Hindi language model is a significant step towards bridging the language gap in AI. While English has dominated the AI landscape, there is a growing recognition of the importance of developing language models for regional languages. By investing in Hindi, Nvidia is demonstrating its commitment to making AI accessible to a wider audience and empowering local communities. Beyond the immediate benefits of language technology, Nvidia's India strategy also has broader implications. By fostering partnerships and investing in AI infrastructure, the company is contributing to the development of a skilled workforce and promoting innovation in the country. This could have a long-term impact on India's economic growth and competitiveness on the global stage. In conclusion, Nvidia's announcement of a Hindi language model and partnerships with major Indian companies marks a significant milestone in its India strategy. By investing in AI and language technology, the company is positioning itself as a key player in the country's digital transformation. As India continues to embrace AI, Nvidia's commitment to the region is likely to yield substantial benefits for both the company and the nation.
NASDAQ:NVDA
by bryandowningqln
NVDA price bounced exactly at the green zone, around 115.25. WOWThe price bounced exactly at the green zone, around 115.25. WOW, do you remember my analysis of Nvidia from last week? I can't even believe it myself; it was incredibly accurate! Every time I apply price behavior with price action, I always remember the words of my mentor, Al Brooks. He told me: "Just remember, Mike, price action is ALWAYS RIGHT." I believe that it's the trader who makes mistakes, not the price action, because it will always be on the correct side. That’s why I always recommend drawing trend lines, channels, and minimizing the use of indicators that might make you see something different. This way, you'll be more accurate in your decision when executing an order. Going back to Nvidia... There’s something about the last candle that has me a bit uneasy. This can be very misleading because the price HASN’T BROKEN THE CHANNEL YET! The advantage we have here is that the last candle shows a buying pressure wick, but it hasn’t fully broken out of the channel or shown volume yet. However, I still believe that Nvidia will likely break out at any moment because it bounced off my green zone, as we said in the previous analysis (well before), and it didn’t even reach the #4 sequence, which would have been at the channel’s support. Now, we just need to wait for a breakout confirmation. But what will happen after it breaks out? We’re looking for an N3 pattern. An N3 pattern involves three movements: #1 Breakout and New High #2 Pullback and Rebound #3 New Extreme That simple. Will it happen? No one knows for sure. The next step is the breakout, and after that, we let the price do what it needs to do so we can position ourselves for the next move. Stay very alert this week! Best regards, and thank you for supporting my analysis.
NASDAQ:NVDALong
by RocketMike111
Again? NVIDA will experience another surge? Nvidia is forming another symmetrical triangle pattern. My answer for the topic is yes! First of all, it is moving in a bullish market overall speaking, so it probably will have a rally if it could break above the symmetrical triangle pattern. it indicates the end of this medium term pullback, and bulls will control the market next. of course, there are still some important resistance levels above the current price, so we will Continuously follow up, and see what gonna happen!
NASDAQ:NVDALong
by xugina78
1
NVIDIA to $180Overview It's a good mindset to be skeptical about a bull market that doesn't seem like it should exist. The GDP (Gross Domestic Product) has declined for a second consecutive quarter to a 24 month low and the Civilian Unemployment Rate is the highest it's been since Nov 2021. This leads me to believe that the current rally is being mostly fueled by two factors surrounding artificial intelligence: hype and revenue. NASDAQ:NVDA is the leading A.I. developer and hasn't experienced a decrease in quarterly revenue since November 2022. When faced with the unknown -- which in this case would be the direction of the stock market -- people cling to what they know. I believe this will present itself in more clearly defined trading patterns and price-swing predictability. Technicals NVDA is setting up a pattern that resembles the 5 Elliott Impulse Waves with each wave taking between 3-4 months to develop. If accurate, the trough of the 4th wave could find the share price in the proximity of $100-115. I utilized Fibonacci levels against the low of the 2nd wave to the high of the 3rd wave. In addition to helping find a support level for the 4th wave, the uptrend Fibonacci tool also provided a projected price target near $180. I compared the 1.618 (161.8%) micro-Fibonacci retracement to the 1.618 macro-Fibonacci retracement, which consumes the entirety of the already existing patterns. I took the difference of $18.19 between the projected 1.618 Fib levels then created a low and high range where I believe the 5th wave will peak. I ended my projection at this point, however, it is worth noting that impulse waves are followed by correction waves which serve in the opposite trending direction.
NASDAQ:NVDALong
by Shepherd_Investor
6
Nvidia's Stellar Rise Amidst the AI Gold Rush Nvidia, the tech giant renowned for its high-performance graphics processing units (GPUs), has been riding a wave of unprecedented success. As the world dives deeper into the realm of artificial intelligence (AI), Nvidia's GPUs have become the indispensable hardware powering the most advanced AI models. This surge in demand has propelled Nvidia's stock to new heights, solidifying its position as a leader in the semiconductor industry. The AI Revolution Drives Demand The rapid advancements in AI technology have created a voracious appetite for computing power. Nvidia's GPUs, originally designed for rendering complex graphics, have proven to be remarkably efficient at handling the intensive calculations required for training and running AI models. Their parallel processing architecture allows them to perform multiple tasks simultaneously, making them ideal for the demanding workloads associated with AI. As AI applications continue to expand across various industries, from healthcare and finance to autonomous vehicles and customer service, the demand for high-performance GPUs has skyrocketed. Companies like OpenAI, Meta, and Google are investing heavily in AI research and development, and Nvidia's GPUs have become a critical component of their infrastructure. Nvidia's Strategic Moves Nvidia has been proactive in capitalizing on the AI boom. The company has made significant investments in research and development to enhance its GPU technology and expand its product offerings. In addition to its traditional gaming GPUs, Nvidia has introduced specialized AI accelerators, such as the A100 and H100, which are optimized for AI workloads. Furthermore, Nvidia has been expanding its ecosystem through partnerships and acquisitions. The company has collaborated with major cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud Platform to offer AI services based on its GPUs. This has made it easier for developers and businesses to access and utilize AI capabilities. Challenges and Opportunities While Nvidia's prospects appear bright, the company faces certain challenges. The semiconductor industry is cyclical, and there is a risk of a slowdown in demand for GPUs if the AI market experiences a correction. Additionally, competition from other chip manufacturers, such as AMD and Intel, is intensifying. However, the long-term outlook for AI remains positive, and Nvidia's strong market position and technological leadership give it a significant advantage. As AI continues to penetrate various sectors, the demand for high-performance computing power is likely to grow, providing ample opportunities for Nvidia to expand its business. Conclusion Nvidia's success story is a testament to the transformative power of AI. The company's ability to leverage its GPU technology to meet the demands of the AI revolution has propelled it to the forefront of the semiconductor industry. As AI continues to evolve and reshape the world, Nvidia is well-positioned to capitalize on the growing market and maintain its leadership position.
NASDAQ:NVDALong
by bryandowningqln
Nvidia's Meteoric Rise: $420 Billion Added in Four Days Nvidia Corporation has once again captured the world's attention, this time with a stunning market value surge. The tech titan, synonymous with the burgeoning artificial intelligence (AI) landscape, has added a staggering $420 billion market capitalization in just four trading days. This represents a 17% surge in its stock price, leaving investors and analysts alike in awe. The rally comes on the heels of a tumultuous period for Nvidia shareholders. The stock had experienced a significant downturn, wiping out billions in market value. However, the recent rebound has been spectacular, propelling the company into the spotlight as a dominant force in the tech industry. What's driving this incredible resurgence? Several factors are likely contributing to Nvidia's meteoric rise. Primarily, the company is at the forefront of the AI revolution. Its high-performance graphics processing units (GPUs) have become the de facto standard for training complex AI models. As the demand for AI applications continues to explode across industries, from healthcare and finance to autonomous vehicles and gaming, Nvidia stands to benefit immensely. Investor sentiment has also played a crucial role. The recent dip in the stock price created a buying opportunity for many, with investors recognizing the long-term potential of Nvidia in the AI space. As the company prepares to release its earnings report at the end of the month, anticipation is building, and investors are positioning themselves for potentially strong results. It's important to note that Nvidia's performance has had a ripple effect on the broader market. The company has accounted for a significant portion of the S&P 500's gains during this period, highlighting its outsized influence. This has led to a more optimistic outlook among investors, as positive sentiment surrounding Nvidia has spread to other tech stocks. While the recent surge is undoubtedly impressive, it's essential to approach it with a degree of caution. The stock market is inherently volatile, and past performance is not indicative of future results. Investors must conduct thorough research and consider their risk tolerance before making any investment decisions. Looking ahead, market participants will continue to closely watch Nvidia's trajectory. The company's ability to maintain its technological leadership in the AI space and its capacity to capitalize on emerging opportunities will be key determinants of its future success. As the world becomes increasingly reliant on AI, Nvidia's role as a key player in this transformative industry is likely to solidify, making it a company worth keeping a close eye on.
NASDAQ:NVDA
by bryandowningqln
Nvidia's Unshakable AI Dominance: Why No Giant Can Topple?Nvidia is renowned for its stellar performance in the AI chip manufacturing sector. However, the company's core strength lies in building a business barrier made up of a tight integration of software and hardware, effectively keeping customers loyal and competitors at bay. Over the past two decades, Nvidia has meticulously crafted a "walled garden" in the tech world, akin to the ecosystem created by Apple. While Apple's ecosystem mainly targets consumers, Nvidia focuses on serving developers who use its chips to build AI systems and other software. This closed system explains why Nvidia has maintained its dominant position in the AI market despite fierce competition from other chipmakers and tech giants like Google and Amazon. It's unlikely that Nvidia will lose significant market share in the coming years. In the long run, the competition over Nvidia's dominance will likely focus more on its coding prowess rather than just circuit design. Competitors are racing to develop software that can bypass Nvidia's barriers. CUDA: The Foundation of the Walled Garden Understanding Nvidia's "walled garden" hinges on its CUDA software platform. Since its launch in 2007, CUDA has solved a problem that others haven't—how to run non-graphics software, like encryption algorithms and cryptocurrency mining, on Nvidia's specialized chips designed for labor-intensive applications like 3D graphics and video games. CUDA supports a variety of computing tasks on these graphics processing units (GPUs) and allows AI software to run on Nvidia's chips. The explosive growth of AI software in recent years has elevated Nvidia to one of the world's most valuable companies. Importantly, CUDA continues to evolve. Year after year, Nvidia releases specialized code libraries to meet the needs of software developers. These libraries enable tasks to be executed on Nvidia GPUs at speeds far surpassing traditional general-purpose processors like those made by Intel and AMD. The Importance of Full-Stack Computing and Software Platforms The significance of Nvidia's software platforms also explains why Nvidia has historically invested more in hiring software engineers than hardware engineers. CEO Jensen Huang recently emphasized the company's focus on "full-stack computing," which involves everything from chip-making to AI software development. Whenever competitors announce AI chips meant to rival Nvidia's, they're effectively competing against a system that's been in use for over 15 years, with vast amounts of code written for it. This software is challenging to port to competitors' systems, which is a true advantage of Nvidia's coding capabilities. At its shareholders' meeting in June, Nvidia announced that CUDA now includes over 300 code libraries and 600 AI models, supporting 3,700 GPU-accelerated applications used by over five million developers across approximately 40,000 companies. Market Predictions and Competitive Landscape The vast size of the AI computing market has prompted multiple companies to join forces against Nvidia. Atif Malik, a semiconductor and networking equipment analyst at Citi Research, predicts that the AI-related chip market will reach $400 billion annually by 2027. In comparison, Nvidia's revenue for the fiscal year ending in January was about $61 billion. Bill Pearson, Intel's vice president for AI for cloud customers, states that much of the industry's collaboration focuses on developing open-source alternatives to CUDA. Intel engineers are contributing to two such projects, one involving companies like ARM, Google, Samsung, and Qualcomm. OpenAI, the company behind ChatGPT, is also working on its open-source project. Investors are flocking to startups working on CUDA alternatives, driven partly by the prospect of engineers from many global tech giants potentially making it possible for companies to use any chips they want, avoiding what some in the industry call the "CUDA tax." Open-Source Alternatives and Industry Dynamics In the AI chip sector, Nvidia retains a strong leadership position, but competition is intensifying. Startup Groq recently secured $640 million in funding at a $2.8 billion valuation to develop chips that can rival Nvidia's, marking the rise of open-source software and bringing new vitality and possibilities to the industry. Not just startups, but tech giants are also making moves. Google and Amazon are developing their AI training and deployment chips, and Microsoft announced in 2023 that it would join this effort. These moves challenge Nvidia's market position and push for industry innovation. In this competition, AMD has emerged as one of the strongest challengers to Nvidia's AI chip dominance with its Instinct AI chip line. AMD Executive Vice President Andrew Dieckman states that although AMD's market share is still behind Nvidia, the company is heavily investing in software engineers to expand its software resources and narrow the gap. Last month, AMD announced a $665 million acquisition of Silo AI, further enhancing its AI development capabilities. Two major Nvidia customers, Microsoft and Meta Platforms, have started purchasing AMD's AI chips, reflecting the market's demand for diverse suppliers and a desire for competition in high-end products. Challenges and Opportunities for Nvidia However, Nvidia's market barrier isn't impenetrable. Babak Pahlavan, CEO of startup NinjaTech AI, revealed that he would have preferred using Nvidia's hardware and software if costs allowed. But due to shortages and the high cost of Nvidia's H100 chips, NinjaTech AI turned to Amazon, which offers its AI training chip Trainium. After months of effort and collaboration, NinjaTech AI successfully trained its AI models on Trainium chips and launched AI "agents" in May, boasting over one million monthly active users, all supported by models trained and run on Amazon chips. This shift wasn't easy. Pahlavan admitted facing numerous challenges and errors along the way. Amazon Web Services Executive Gadi Hutt acknowledged early mistakes from both sides but stated they are now on track. Amazon's AI chip customer base is growing, including companies like Anthropic, Airbnb, Pinterest, and Snap. Although Amazon offers customers the option to use Nvidia chips, they are more expensive, and transitioning takes time. NinjaTech AI's experience highlights one major reason why startups like it endure the extra effort and development time to build AI outside Nvidia's "walled garden": cost. Pahlavan says NinjaTech's cloud service bill at Amazon is about $250,000 a month to serve over a million users. If the same AI ran on Nvidia chips, it would cost between $750,000 and $1.2 million. Nvidia's Response and Future Outlook Facing these competitive pressures, Nvidia is acutely aware of the high costs associated with its chips. CEO Jensen Huang has pledged that the company's next generation of AI-focused chips will aim to reduce the costs of training AI on Nvidia's hardware. Malik of Citi Research expects Nvidia to maintain a 90% market share in AI-related chipsets for the next two to three years. This suggests that despite competition, Nvidia's leading position remains solid. In the foreseeable future, Nvidia's fate will depend on the kind of inertia that has historically kept many businesses and customers locked into various "walled gardens."
NASDAQ:NVDA
by xugina78
NVIDIA - Levels to Watch NVIDIA - NASDAQ:NVDA The chart demonstrates a pattern of rising parallel channels for durations of approx. 142 - 152 weeks followed by 36 - 46 week corrections. We are currently in a defined rising parallel channel and we are at week 92 of that bull trend, with a further 50 weeks probable based on the historic repeating timeframes. This does not guarantee a repeat timeframe of 142 - 152 weeks, but it does make it more probable. ⚠️What to watch out for? ▫️ Price breaching down and out of the short term parallel channel. This would be an initial warning. ▫️ Price falling below the 50 SMA would be a confirmation of a trend shift to bearish (blue line). ▫️ Otherwise, a roughly 142-152 month bull trend out to mid 2025 looks probable for now. Another option to consider is that we trend sideways for 36 - 44 weeks like we did from Jan - Oct 2018. This type of sideways movement could travel along the top of the long term parallel channel (in blue). Lets keep an eye on the short term parallel channel for that initial warning, otherwise happy trading the trend. You can come back here at anytime and press play and you will get the price updated in terms of the levels marked. PUKA
NASDAQ:NVDALong
by PukaCharts
💫NVIDIA might be ready for ATH: Multitimeframe💫☝️Do not act based on my analysis, do your own research!! The main purpose of my resources is free, actionable education for anyone who wants to learn trading and improve mental and technical trading skills. Learn from hundreds of videos and the real story of a particular trader, with all the mistakes and pain on the way to consistency. I'm always glad to discuss and answer questions. 🙌 ☝️ALL ideas and videos here are for sharing my experience purposes only, not financial advice, NOT A SIGNAL. YOUR TRADES ARE YOUR COMPLETE RESPONSIBILITY. Everything here should be treated as a simulated, educational environment. Important disclaimer - this idea is just a possibility and my extremely subjective opinion. Do not act based on my analysis, do your own research!!
NASDAQ:NVDALong
by Yelli_trades
3
Nvidia Races Ahead: Can It Lead After Apple Stock SplitNvidia Races Ahead: Can it Maintain the Lead After Apple's Stock Split? The tech world is abuzz with the news of Nvidia's staggering outperformance of Apple's stock price in 2024. Annually, Nvidia has surged a remarkable 190+%, leaving Apple in the dust with a meager 19% gain. This stark contrast comes just ahead of Apple's highly anticipated 10-to-1 stock split, raising questions about the future performance of both tech giants. Nvidia's Stellar Rise: A Chip Powerhouse on Fire Nvidia's dominance can be attributed to its position as a leader in the booming semiconductor industry. The ever-growing demand for powerful graphics processing units (GPUs) for applications like artificial intelligence, gaming, and data centers has propelled Nvidia's growth. Their cutting-edge technology has made them the go-to choice for tech enthusiasts and professionals alike. Apple's Stagnant Growth: A Maturing Giant? While Apple remains a tech behemoth, its stock price hasn't mirrored the explosive growth seen in other sectors. This could be due to a number of factors. The smartphone market, a cornerstone of Apple's success, has reached a saturation point. Additionally, competition from other manufacturers, particularly in the Chinese market, has intensified. Stock Splits: A Psychological Boost or a Price Trick? Stock splits themselves don't change the underlying value of a company. They simply increase the number of shares outstanding while proportionally reducing the share price. However, stock splits can have a psychological impact on investors. A lower share price can make the stock appear more affordable, potentially attracting new investors and boosting short-term trading activity. Volatility Ahead: Will Apple Reclaim Its Throne? Apple's upcoming stock split has the potential to introduce significant price volatility in the short term. The lower share price might entice retail investors, leading to a temporary surge. However, long-term performance will depend on Apple's ability to innovate and tap into new growth markets. Beyond the Numbers: A Look at the Fundamentals While the current stock price performance paints a clear picture, a deeper analysis of both companies' fundamentals is crucial for long-term investors. Here are some key aspects to consider: • Product Pipeline: Both companies have a history of successful product launches. Analyzing their upcoming product lines and potential disruptions will provide insights into future growth prospects. • Innovation: Continuous innovation is vital for sustained success in the tech industry. Evaluating each company's commitment to research and development will shed light on their ability to stay ahead of the curve. • Market Expansion: Identifying new markets and customer segments that either company can tap into can be a significant growth driver. The Verdict: A Tale of Two Tech Titans Nvidia's current lead is undeniable, but Apple shouldn't be counted out. The stock split has the potential to reignite investor interest in Apple, and its brand loyalty remains unmatched. Ultimately, which company emerges victorious will depend on their ability to navigate the ever-evolving tech landscape, deliver innovative products, and expand into new markets. For investors, this is an exciting time to be in the tech sector. By carefully analyzing both companies' fundamentals and long-term strategies, investors can make informed decisions about where to place their bets. The race between Nvidia and Apple is far from over, and the coming months will be a fascinating test of their respective strengths and resilience.
NASDAQ:NVDALong
by bryandowningqln