NVIDIA Earnings Preview: Strategy Notes for Q3 ReportPre-Earnings Strategy: First things first—know the key numbers and the market expectations. But keep in mind, NVIDIA’s revenue recognition can get tricky, so don’t be surprised by unpredictable results. This is why a solid strategy, proper positioning, and downside protection are essential going into the report.
1. Core Numbers & Expectations
Where do Buy-Side Expectations Come From? NVIDIA has been beating guidance by around $2 billion each quarter and then raising guidance by another $2 billion (last quarter they raised it by $2.5 billion).
For Q3, the guidance given in Q2 was $32.5B. Based on the trend, buy-side expectation bumps that up by another SEED_TVCODER77_ETHBTCDATA:2B , so the real expectation for Q3 is $34.5B.
Looking ahead to Q4, buy-side is expecting GETTEX:39B (Q3 actual $34.5B + $2.5B + another SEED_TVCODER77_ETHBTCDATA:2B ). To make the buy-side comfortable with this, the Q4 guide needs to come in at least at $38B (realistically, even FWB:37B could suffice).
Key Takeaway for a Big Beat: Q3 revenue needs to hit $34.5B, and Q4 guidance should be at $38B, with Blackwell contributing over SEED_TVCODER77_ETHBTCDATA:5B in Q4.
2. What the Analysts Think
This is a mega-cap stock, so pretty much every sell-side analyst has a report. But let’s just focus on the key voices from Goldman (Hari), UBS (Arcuri), and Morgan Stanley (Moore), aka the “HAM Trio.”
For Q3:
Moore: Bearish—expects $32.5B
Hari & Arcuri: Neutral-Bullish—expect around $34.3B
For Q4 Guidance:
Moore: Bearish—expects $35.3B
Hari: Bullish—expects $39.2B
Arcuri: Bullish—expects $38.9B
3. Q4 Blackwell Revenue Breakdown
Management previously mentioned Q4 Blackwell revenue could be “several billion.” If it’s $2-3B, that’s below expectations. $5-6B would be a strong beat.
Moore: Expects $5-6B (bullish on Blackwell)
Arcuri: Expects only SEED_TVCODER77_ETHBTCDATA:3B (more conservative)
4. Summary of Analyst Divergence
There’s a clear split among the top analysts, particularly around the Q4 guidance. This divergence sets up potential volatility.
5. Trading Strategy
1. Pre-Earnings Positioning: If the stock dips ahead of earnings, consider adding to the position. If there’s a rally, trim some to lock in profits.
2. Post-Earnings Reaction: If it tanks, be ready to add more, since Q1 of FY25 is expected to be a breakout quarter.
3. Hedging with Options: Use options to protect existing stock positions—don’t go into earnings unhedged.
Implied Move Post-Earnings:
The options market is pricing in about a 9% move, which puts the stock between $128-$153 (current price is around $141).
Options Strategies
Bullish Play (Betting on a Big Rally): Buy calls, but keep it small—treat it as a high-risk, high-reward play. If it goes to zero, it won’t hurt too much.
Lower-Cost Bullish Play: Consider a call spread (buy a lower strike call, sell a higher strike call). This caps your upside but reduces the cost.
Protecting Existing Long Stock Positions: Use covered calls. If the stock tanks, you get some downside protection from the premium. If it rallies, you still make money up to the strike price, plus the premium collected. The downside is losing the stock if it gets called away above the strike.
Want to Buy the Dip After Earnings? Sell puts. If the stock drops, you get assigned shares at a lower price and keep the premium. If it rallies, you pocket the premium.
Nvidiatrading
NVIDIA on the Move: Key Levels to Watch! NVIDIA’s setting up for some action: we’re looking at a run to $143.60, but if we break through, we could be cruising up to the $150–$153 range! On the flip side, if we slip below $129.72, brace yourself—$117 could be on deck. Let’s keep it simple and see how it plays out!"
Easy Breakdown for the Trade
Current Target: $143.60
Right now, NVIDIA’s aiming at $143.60. If buyers keep stepping in, this is the first level we’re likely to hit. Think of it as the “first checkpoint” for our bullish move.
The Bullish Range: $150–$153
Breaking past $143.60 could open up a fresh wave of momentum. If we get through this level with some energy, then NVIDIA could quickly head up to the $150–$153 range. This is the zone where we’d see if buyers are still strong, so keep it on your radar if we reach it.
Critical Support at $129.72
Now, here’s the key to the downside. $129.72 is the level holding NVIDIA up right now. If we lose this support, it’s a signal that sellers have taken control. This could mean a strong dip is in the works.
Downside Target: $117
If we break $129.72, the next realistic target to the downside is $117. It’s a significant drop, but definitely within range if support doesn’t hold.
Trading Tip
Mark your levels and watch for those breaks! $143.60 is our short-term target, and if we clear it, we’re looking up to $150–$153. But if NVIDIA slips below $129.72, $117 becomes a real possibility. Keep it flexible, and trade the levels!
Mindbloome Trading / Kris
Mindbloome Exchange
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.
NVDA Weekly to Four Hour In Depth Analysis Where Are We Going Good evening Traders
So in this video I go into the weekly and down to the four hour and 30 minute identifying key levels to look out for and where the market is going.
Currently where we are I really thought we were going to have a shorter correction and punch back up but hey I dont assume and I only trade what the market gives me.
What is currently happening is if we can break and close above 140.65 to me that would be a great entry for this bull run up to 150's
However we can correct back into the zone of 138.40 and then go back into the full bull swing of things
And Lastly we are sinking further to the 129.64 level looking for a entry on another bull run up, if we break lower then I dont know what to tell you other than our bull run maybe over ???
If you like the video: please share, boost, and follow or comment: give me feedback on what you currently see and why.
Hope you have a great day trading
Mindbloome Trading
Trade What You See
NVIDIA (NVDA) Rockets Higher! TP1 Hit, Eyes on More Gains!NVIDIA (NVDA) Long Trade (15m time frame)
Entry: $135.03
Current Price: $145.21 – Momentum strong as first target hit.
Key Levels:
Stop-Loss (SL): $131.88 – Below key support level to manage risk.
Take Profit 1 (TP1): $138.92 – First target hit, confirming upward trend.
Take Profit 2 (TP2): $145.21 – Next target likely to be reached soon.
Take Profit 3 (TP3): $151.50 – Key level for continued bullish momentum.
Take Profit 4 (TP4): $155.38 – Final target for this strong upward move.
Trade Outlook:
NVIDIA has surged after a clear entry signal at $135.03. With TP1 already achieved, bullish momentum remains intact, and we're aiming for the remaining targets as the stock pushes higher. The trend and technical setup suggest further gains are possible.
Nvidia - New All Time High Is Coming!Nvidia ( NASDAQ:NVDA ) can rally another +50%:
Click chart above to see the detailed analysis👆🏻
After creating an expected correction of about -40%, Nvidia is now almost back to new all time highs, showing no signs of weakness despite the recent tech stock correction. If Nvidia creates a new all time high, it is quite likely that it will rally again, potentially all the way up to $400.
Levels to watch: $200
Keep your long term vision,
Philip (BasicTrading)
NVDA Wave Count: Wave 3 Targets Above $125, Breakdown Below $123Hey traders, it’s Mindbloome Trader here with an NVDA wave count from the 4-hour to 30-minute chart. If we break above $125, we’re aiming for wave 3 on the upside. But if we drop below $123, we could see more downside action. Stay sharp and trade what you see!
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.
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!
Nvidia Has Strong Fundamentals but is that Enough?One Of the Biggest Success stories of 2023... NASDAQ:NVDA Truly Gained traction under the insane Artificial Intelligence Growth and alongside the hype train that skyrocketed most Semiconductor Stocks. The Balance sheet is a undeniable strength with more then 3 assets to 1 Liability, with good cash able to cover debt based on the balance sheet. Nvidia has very strong Fundamentals is that enough to justify the PE Ratio being at 55.94x ? and a Price to Sales Ratio of 30.3 ? and its price to books ratio at 50.2 , using these valuation methods Nvidia comes up as a expensive based on its current price to me personally. The RSI Is also pretty high at 53 . I am definitely interested in seeing how Nvidia plays out in the long-term. Share price has been aided by very high revenue growth beating all forecasts by analysts in recent Quarters. Nvidia Benefits from high profit margins, however is that enough to justify the high share price? as for management and there use of the cash we can see that Net margins are 55.0%, ROE of 91.1%, ROA of 60.9%, ROCE of 83.6%.
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Business Revenue Sources:
84.8% of the revenue is derived from "Compute & Networking"
15.2% of the revenue is derived from "Graphics"
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Balance Sheet:
Cash: US34.80b
DEBT: US8.46b
Equity: US58.16b
Total Liabilities: US27.07b
Total Assets: US85.23b
14.5% -> Debt to Equity Ratio
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Disclaimer: I am not a financial advisor and in no way am I signaling a sell, buy, or hold opinion on this stock (Nvidia) I am just giving my personal opinion as a hobby trader, I have no certifications and I am not a financial analyst, I also may be wrong about how I feel about the stock. I want you to do plenty more research on this and the stocks you are interested in because the stock market always holds a lot of risk that may be different for each investor and trader. Please do not make opinions based on this or any idea. Please be careful!
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Idea:
Nvidia: the pattern play out again?Nvidia is set to release its earnings report on Wednesday night, with expectations sky-high.
Market Prediction:
41% year-over-year surge in earnings
113% increase in sales, reaching $28.73 billion.
This would mark the fifth consecutive quarter of triple-digit gains for the AI chip giant.
What's your opinion about NASDAQ:NVDA earnings?
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.
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.
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."
NVIDIA is going to top out, consolidate before taking offThere's only one more meme rally left before CBDC's. I expect Nvidia to meet guidance for earnings, will spike up and then crater.
There's some cheap puts for .20 for 500 strike price for July. Will probably be 450 after it's all said and done when it bottoms out. Which is a 2,250x return if the stock did crater! Couldn't rule out a flash crash. I think if we wait till next week to buy the puts it'll be cheaper, maybe .15 which is a 3,000x.
They will definitely soar when the FED ends up cutting rates after the BOJ sells treasuries and BRICS unveil their currency.
If Trump wins our country will convert back to a gold standard. If Biden wins they will try to usher in a CBDC. Better own some food, land, ammo and precious metals comrade if you do decide to vote against "Mean Tweets"...
Nvidia Analysis After SplitThe Nvidia share price has never risen so steeply. Each rise lasted about 30 months and was followed by an average correction of 50%. I think we are getting close to the next correction. It will be an excellent buying opportunity. But until then we can even see $160 because of the FOMO and the new investors who came after stock split.
🗺️NVIDIA Roadmap🗺️🚀➕20%🚀🔔Today, I want to analyze NVIDIA stock for you because I think it still has the potential to increase in price, and also, in NVIDIA 's previous rally, AI tokens had a good rise.
💡The main reason for Nvidia's growth is the company's leadership in the field of Artificial Intelligence(AI) chips . The market value of this company crossed the one trillion dollar mark less than a year ago. Nvidia now has a higher market value than the well-known companies Amazon and Google .
💡 Nvidia's earnings report that was published exceeded expectations so that Nvidia was able to make $26 billion in profits in the first 3 months of this year, which is really great.
💡Profitability was 5.3% higher than forecasts , and Nvidia made a profit of $6.12 Earnings per Share(EPS) .
💡Nvidia forecasted $28 billion in revenue for the fiscal second quarter , with a margin of error of 2% .
💡Soon the price of each stock will be divided into 10 units. For each stock of the price break, $0.01 is distributed, which represents 150% growth from the previous period.
💡 Artificial Intelligence Tokens have not yet shown their progress, but it is better to keep an eye on them. BINANCE:FETUSDT _ BINANCE:NEARUSDT _ BINANCE:RNDRUSDT _ BINANCE:GRTUSDT _ BINANCE:TAOUSDT _ BINANCE:INJUSDT _ BINANCE:THETAUSDT
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📊Now let's take a look at the NVIDIA chart .
✅ NVIDIA managed to break the 🔴 Resistance zone($974_$924) 🔴 by Breakaway Gap .
📈In terms of Classic Technical Analysis , NVIDIA has managed to form a Bullish Long Island Pattern , and this pattern is one of the continuing patterns and will be a sign of the continuation of NVIDIA's upward trend .
🌊According to the theory of Elliott Waves , NVIDIA is completing the main wave 5 and it is very likely that the main wave 5 will finish in the 🟡 Potential Reversal Zone(PRZ)($1,305_$1,138) 🟡.
🔔I expect that NVIDIA will continue to grow at least 🚀➕20%🚀 more, although minor corrections are also possible.
NVIDIA Analyze (NVDAUSD), Daily time frame ⏰.
Do not forget to put Stop loss for your positions (For every position you want to open).
Please follow your strategy; this is just my Idea, and I will gladly see your ideas in this post.
Please do not forget the ✅' like '✅ button 🙏😊 & Share it with your friends; thanks, and Trade safe.
Nvidia - Still a correction?Hello Traders and Investors, today I will take a look at Nvidia .
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Explanation of my video analysis:
Over the course of the past seven years, Nvidia stock has been trading in a pretty obvious rising channel formation. As we are speaking, Nvidia stock is approaching once again the upper resisance trendline. However this does not mean that we will see an immediate correction of -50%; it is rather important to monitor price action and wait for the right opportunity.
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Keep your long term vision,
Philip (BasicTrading)
Nvidia Unveils Rubin AI Platform: New Frontier in Generative AIAt the 2024 Computex trade show in Taipei, Nvidia CEO Jensen Huang sent ripples through the tech world with the announcement of their next-generation AI platform, codenamed Rubin. Scheduled for release in 2026, Rubin promises to be a game-changer, pushing the boundaries of generative AI and accelerating its integration across various industries.
Huang's vision is clear: a new industrial revolution driven by AI. This vision is fueled by the ever-growing demand for high-performance AI hardware, and Nvidia is positioning itself at the forefront of this revolution. By unveiling Rubin alongside the Blackwell Ultra chip slated for 2025, Nvidia is signaling a commitment to annual upgrades in their AI accelerator technology.
This focus on rapid development reflects Nvidia's dominant position in the AI chip market, currently holding an estimated 80% market share. Rubin's arrival in 2026 signifies a significant leap forward in Nvidia's AI hardware capabilities. The platform will encompass not just next-generation GPUs, the workhorses of AI training, but also novel central processing units (CPUs) and networking chips.
While specifics about Rubin's architecture remain under wraps, some key details have emerged. The platform will leverage the next iteration of High-Bandwidth Memory (HBM4), a crucial component for tackling the data bottlenecks that often hinder AI development. Manufacturers like SK Hynix, Micron, and Samsung are expected to be instrumental in supplying this next-gen memory.
Beyond the hardware, Huang emphasized the importance of software and services in democratizing AI. This aligns with Nvidia's recent efforts to expand its software offerings, providing developers with user-friendly tools to harness the power of their AI hardware. It's likely that Rubin will be accompanied by a robust software ecosystem, enabling seamless integration and streamlined workflows for various AI applications.
The potential applications of Rubin are vast. Generative AI, a subfield of AI focused on creating new data, is expected to see a significant boost. This could revolutionize fields like drug discovery, where AI can be used to design new molecules with specific properties.
Additionally, advancements in natural language processing (NLP) facilitated by Rubin could lead to more sophisticated chatbots, capable of carrying on nuanced conversations and even generating creative text formats like poems or code.
However, significant challenges remain. Ethical considerations surrounding bias in AI algorithms and the potential misuse of generative AI capabilities need to be addressed. Additionally, ensuring equitable access to this powerful technology will be crucial to prevent exacerbating existing inequalities.
Despite these challenges, the potential benefits of Rubin are undeniable. Nvidia's commitment to annual advancements in AI hardware, coupled with a focus on user-friendly software, positions Rubin as a catalyst for the widespread adoption of AI across industries. As 2026 approaches, the tech world will be watching with keen interest to see how Rubin ushers in a new era of generative AI and its impact on the global landscape.
A Golden Age for Splits? Nvidia's MoveNvidia's recent announcement of a 10-for-1 stock split sent ripples through the tech industry. Investors cheered the move, with the stock price surging 9% to a record high. But beyond the immediate impact on Nvidia, Bank of America (BofA) suggests this could be the first domino in a wave of tech stock splits. This article explores the implications of Nvidia's split, the factors driving potential future splits, and the historical trends associated with this strategy.
Nvidia's Split: A Catalyst for Change?
Nvidia's stock price, hovering around $1,000 before the announcement, undoubtedly played a significant role in the decision. With a lower share price after the split, the stock becomes more accessible to individual investors, potentially broadening its investor base. This aligns with BofA's observation that Nvidia is already a favorite among retail investors, according to a May 22 Vanda Research report.
BofA analysts see the split as a positive sign, highlighting a trend of "shareholder-friendly policies" within large-cap tech companies. They also point to historical data suggesting that companies undergoing splits tend to experience strong returns in the following year.
A Landscape Ripe for Splits?
BofA's note identifies 36 companies within the S&P 500 with share prices exceeding $500, potentially making them candidates for future splits. This includes tech giants like Microsoft and Meta Platforms, whose stock prices are approaching that threshold.
There are several factors making the current tech landscape ripe for stock splits:
• Soaring Stock Prices: Fueled by technological advancements and strong demand, many tech stocks have experienced phenomenal growth in recent years. This has pushed share prices to record highs, potentially creating a psychological barrier for some retail investors.
• Accessibility and Liquidity: A lower share price can make a stock more attractive to individual investors, increasing overall trading volume and liquidity. This broader investor base can potentially lead to a more stable stock price.
• Psychological Impact: A lower share price can make the stock appear more affordable, even if the underlying value of the company remains unchanged. This can trigger increased buying interest, particularly among retail investors.
Beyond Price: The Strategic Considerations
While share price is a key factor, companies considering a split should also weigh other strategic considerations:
• Signaling Confidence: A stock split can be seen as a sign of management's confidence in the company's future growth potential. This positive signal can improve investor sentiment and potentially attract new investment.
• Maintaining Momentum: A well-timed split can capitalize on a company's positive momentum, further propelling its stock price upwards. However, a poorly timed split during a market downturn might not yield the desired results.
• Cost and Complexity: Implementing a stock split involves administrative costs and logistical complexities that companies need to consider.
Historical Trends and Potential Outcomes
BofA cites historical data showing that stock splits have generally been followed by positive returns. They argue that splits don't dilute the company's value, but rather make it more accessible to a broader investor base. This can lead to increased trading activity and potentially higher valuations.
However, it's important to note that correlation doesn't imply causation. While past trends suggest positive outcomes, future performance remains subject to market conditions and individual company fundamentals.
The Road Ahead: A Spliting Tech Future?
Nvidia's stock split has reignited the conversation around this strategy within the tech industry. With numerous companies sporting high share prices, BofA's prediction of a potential wave of splits holds merit. This trend, if it materializes, could have several implications:
• Increased Retail Investor Participation: Lower share prices could attract more retail investors to the tech sector, potentially boosting overall market activity.
• Enhanced Liquidity: Broader investor participation can lead to higher trading volumes and improved liquidity for these tech stocks.
• Short-Term Volatility: The implementation of splits could lead to short-term market volatility as investors adjust their positions.
Conclusion
Nvidia's stock split may be a harbinger of a larger trend within the tech sector. Companies with high share prices might consider following suit to broaden their investor base and potentially enhance long-term value. However, the decision to split should be a strategic one, carefully evaluating both the potential benefits and the associated costs and complexities. As the market watches Nvidia's post-split performance, it will be interesting to see if this move ushers in a new era of tech stock splits and how it shapes the investment landscape in the coming years.
Nvidia - Another push higher from here?Hello Traders and Investors, today I will take a look at Nvidia .
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Explanation of my video analysis:
Nvidia stock has been trading in a rising channel formation for a couple of years. We saw the last retest of support in the beginning of 2023 which was followed by an unbelievable rally of 625% towards the upside. At the moment Nvidia is retesting the upper resistance but we might see a retest of the psychological $1.000 level first and then a correction.
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Keep your long term vision,
Philip (BasicTrading)