NVDA - Back again, now down again?The pattern seems to repeat.
Again, we had a HAGOPIAN, which sais, that price goes back more than from where it came, and this rule was right.
Up in here, I'm not that confident anymore that price will reach the Centerline. But, it's not about what I think, or how confident I'm are. I just have to follow my Strategy and act according to the Rules, the trading framework of the Medianlines.
That said, we either shoot up on earnings, or we definitely tank down. For now, there is no trade, only a Gamble. I rarely gamble, so I'll sit on the sidelines and let it happen whatever will come out on earnings.
As for a Lotto-Ticket, I would buy some Puts and just have fun to watch how they get burned, or how I get a Christmas Moment in the beginning of the new year §8-)
Nvdalong
Nvidia = 4T Market CapNASDAQ:NVDA : Largest Market Cap in the World?!
4 Trillion Market Cap Inbound 🎯
Ever since Nvidia flipped to green on the H5 indicator we have come back to retest it 5 times. In which we bounced and then rallied hard!
Support created and NASDAQ:NVDA is breaking out!
Not financial advice
NVIDIA (NVDA) Bounces Off Weekly EMA – Is a Rally Coming?📈 NVIDIA (NVDA) closed the week with a strong bullish candle, rebounding off the 50-week EMA. Historically, this has been a key level for the stock, often signaling strong continuation moves to the upside.
Key Observations:
- 1W 50 EMA Support: In previous cycles, NVDA has repeatedly touched this moving average and rebounded, leading to sustained uptrends. The highlighted regions on the chart reinforce this pattern.
- Strong Buying Volume: The volume bars suggest renewed interest from buyers at this level.
- Macro Uptrend Intact: Despite recent corrections, NVDA remains in a long-term bullish trend.
Fundamentals:
- NVIDIA is expected to release their next earnings report on February 26th, which is in 19 days from now.
- NVIDIA is set to release their $3000 NVIDIA GB10 compact AI super computer in May.
- As cheaper-to-run AI models like DeepSeek are released and get into the hands of businesses, this will lead to increased demand for AI chips (read about Jevons' Paradox on Wikipedia ).
Potential Price Path:
🚀 If history repeats, this bounce could lead NVDA to reclaim previous highs and even explore new all-time highs in the coming months.
⚠️ Risk Factor: If NVDA fails to hold above the 50-week EMA, downside risk increases, with a potential retest of lower support levels.
📊 Conclusion: This historical pattern suggests a high-probability trade setup. Traders and investors should keep an eye on volume confirmation and macroeconomic conditions before making their next move.
💬 What’s your take on NVDA’s next move? Share your thoughts below! 👇
Let me know if you want any refinements or additional insights. 🚀
Don't forget,
Patience is Paramount.
NVIDIA in Correction phaseWhat to Expect After Nvidia's Major Market Cap Tumble
Rocky White
Wed, January 29, 2025 at 6:00 PM GMT+5 2 min read
Expectations were high for artificial intelligence (AI) companies, but they took a hit on Monday after Chinese startup DeepSeek claimed it can spend way less money and deliver AI performance comparable to major tech firms.
This triggered massive selloffs in megacap stocks. Nvidia (NVDA) fell 17%, losing over $500 billion in market capitalization -- a record-breaking decline, larger than the entire market cap of companies like Mastercard (MA), Netflix (NFLX), Costco (COST), and Bank of America (BAC).
Broadcom (AVGO) also plunged 17%, losing about $200 billion in market value, while Oracle (ORCL) fell roughly 14%, or $70 billion in market cap. It made me curious how stocks have tended to perform after such massive losses.
$NVDA - Resilience in ActionNASDAQ:NVDA
In my previous post (linked above) I noted the amount of macro upwards pressure NASDAQ:NVDA
Even with the market becoming leary of (or noticing other A.I. developer options), NASDAQ:NVDA still just makes the HARDWARE that these A.I. models are able to use and abuse in order to perform better. NASDAQ:NVDA will continue to create great hardware, and continually iterate on the items that will continue to make A.I. great.
My recommendation? Continue to hold, and buy at these lower levels. NASDAQ:NVDA will continue to rise.
NVDA making its way to retest a previous CHOCHHi Traders!
I'm waiting patiently on NVDA. It broke through a 4HR Bullish OB, and now It's making its way down to retest that breaker OB area. However, If it keeps breaking down past 136.00, then the 4HR CHOCH would become invalid. I have 2 alerts set- 1 at 140.50, and 136.50. These are potential areas where there could be a reversal. Price likes to test previous CHOCH patterns, so watching closely for the best possible entry if the chart presents itself that way.
If the reversal happens and continues to move up, I'm looking for price to break 150 since tapping that area a few times already. Lets see what we can get🤞
*DISCLAIMER: I am not a financial advisor. The ideas and trades I take on my page are for educational and entertainment purposes only. I'm just showing you guys how I trade. Remember, trading of any kind involves risk. Your investments are solely your responsibility and not mine.*
NVDA LESSON Now We Hunt For A DISCOUNT Nvidia⚪️ NVDA Another example of traders getting
trapped at the high.
⚪️ Also a prime example of traders
entering pre 150 break.
We don't need level 2 data to know
how HUMANS WILL ACT.
HUMAN BEHAVIOUR IS PREDICTABLE.
✅️That is an edge we can use too................
🟢 Every trend starts with a breakout and yes if you take everyone you will never miss the NEXT BIG MOVE BUT.....
🟢 By doing so you will inevitabley give up a high win rate, and the fact is that most humans would rather be RIGHT than make MONEY.
⭐️THAT IS JUST SIMPLE HUMAN BEHAVIOUR.⭐️ IT'S STRANGE BUT TRUE⭐️
🌎Most traders would rather sacrifice more profit for a HIGHER WIN RATE🌍
Some of the most PROFITABLE TRADERS & INVESTORS in the WORLD have a WIN RATE BELOW 50%.❕️
❗️LET THAT SINK IT...❗️
⚠️ 🟢SeekingPips🟢 SAYS SAVE THIS GOLD LESSON NOW YOU CAN THANK ME LATER⚠️
NVIDIA's Momentum A Breakout Story in Progress1. Trend and Structure
The chart showcases an upward momentum, breaking out of a prior resistance level, indicating bullish pressure. The breakout aligns with the upward-sloping trendline, which serves as a strong support structure.
2.Breakout Confirmation
The price has successfully broken through a resistance level, confirming a bullish breakout. This signals potential continuation toward the marked target zone.
3.Entry Point
The entry appears to have been taken near the breakout point, at approximately $141.60, aligning with the bullish momentum.
4. Target (Take Profit)
The take-profit level is marked at $152.94, representing a reasonable upward move from the breakout point. This target aligns with the continuation of the trend.
5. Stop Loss
The stop-loss level is placed at $133.46, below the recent support and trendline. This level ensures protection in case the breakout fails.
6.Risk-Reward Ratio
The setup demonstrates a healthy risk-to-reward ratio, with potential gains outweighing the risks. This indicates a well-calculated trade.
7. Technical Indicators
The momentum of the candles breaking the resistance shows strong bullish interest. No immediate signs of bearish divergence or reversal are visible in the chart.
The chart reflects a bullish breakout setup in NVIDIA's stock price. With strong momentum and a clear trendline breakout, the trade aligns well with the current upward movement. The target and stop-loss levels are well-placed, adhering to a disciplined trading strategy.
NVDA vs SMH @ 100 Day SMAToday we are plotting the ratio chart of NVDA vs the semiconductor ETF SMH on a weekly basis. NVDY/SMH i3 at 100 Day SMA because as the rally in NDY has stalled out while other Semi stocks are having a bull run form the recent lows. The semi cap equipment companies had a bad year last year. So within semis people re going for low Market Cap stocks and the recent underperformers.
But in the last 5 years, the ratio chart always bounced back from its 100- and 200-Day SMA. Sq this might be an accumulating zone for NVDA believers.
BUY NVDA (130-135)NVIDIA (NVDA) is currently trading within a well-defined channel and is approaching a strong support zone between $130 and $135, a level where buyers have historically stepped in. The recent rejection from the $155 resistance suggests a potential rebound from the lower range. This setup provides a bullish trade opportunity, with an entry around $130-$135 and a target of $170, offering a favorable risk-to-reward ratio. A stop-loss below $125 is recommended to manage risk.
Signal:
Buy Zone: $130 - $135
Target Price: $170
Stop-Loss: $125
If this analysis resonates with you, please like, follow, and share your insights in the comments to support more content like this.
$NVDA LongNVIDIA Corporation (NVDA) shows signs of a potential rebound based on Elliott Wave Theory and key technical indicators. The chart suggests that NVDA has likely completed a corrective Wave 4 and could be entering Wave 5, signaling a continuation of its primary bullish trend. Divergences in the Relative Strength Index (RSI), MACD, and Williams %R indicate that the recent pullback may be temporary.
The RSI shows a bullish divergence, with higher lows on the indicator while the price made lower lows, a common precursor to upward momentum. The MACD has turned upward, with a bullish crossover suggesting increasing buying interest. The Williams %R, which measures overbought and oversold conditions, also shows a divergence, indicating the stock may have been oversold and could be ready to reverse.
NVIDIA’s strong fundamentals, driven by increasing demand for AI infrastructure and GPUs, support this technical setup. Compared to gold and U.S. Treasury bonds, which have stabilized with minimal growth potential, NVIDIA offers significant upside as the chart signals a potential reversal and renewed bullish momentum.
Daily Halftime Report: NVDA Continuation Buy-InDaily Halftime Update: NVDA gapped up on this morning's session to retest it's ATHs at $152.89 which was tested back in Nov 21, 2024. Looking for a entry between $149.5-$149.95 (Target: $149.73) and a close above $148.98 for confirmation of Continuation to retest those ATHs in the weeks to come. Looking for a $160 Price Target on the Long Trade here.
Another Year, Another Ride on the Nvidia Train– Bullish for 2025Bullish Reasons for Nvidia:
AI Growth: Nvidia’s GPUs are the backbone of AI infrastructure, powering the booming AI market and ensuring long-term demand.
Market Dominance: With 80-90% control of the AI chip market, Nvidia’s market share positions it as a dominant player with staying power.
Microsoft’s $80B Investment: Nvidia is poised to reap the rewards of Microsoft’s massive AI data center investment, cementing its role in the AI revolution.
Bank of America’s "Top Pick": As Bank of America’s top pick heading into CES 2025, Nvidia is set for game-changing announcements that could propel growth even further.
Analyst Optimism: With analysts setting a $177 target price, Nvidia’s upside potential is highly regarded by the market.
Impressive YOY Growth: Nvidia has posted 53% YOY revenue growth, driven by 61% growth in data centers and 101% growth in gaming. Its 90% increase in earnings per share showcases its dominance in AI and gaming sectors.
Financial Strength: With a strong balance sheet and solid cash flow, Nvidia is well-positioned to continue expanding its influence in AI and technology innovation.
Trade Plan:
Entry: $147.50 (pre-market price)
TP1: $160 (+8.5%)
TP2: $180 (+22.1%)
Stop Loss: $135 (-8.5%) (Consider for yourself; I'm holding without a stop loss for the long term)
Risk-Reward Ratios:
Risk to TP1: 1:1 (Risk = $12.50, Reward = $12.50)
Risk to TP2: 1:2.6 (Risk = $12.50, Reward = $32.50)
Nvidia's PRIMED for NEXT LEG UP NASDAQ:NVDA looks like the bottom is in and upon today's weekly close, if price closes above previous weekly candle high, that will trigger the next leg up with first target of $180.
Next key level to look for is previous all time high but for now, we might have a temporary bottom.
There is an active bullish time at mode trend set to expire on March with next target of $180.
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.
NVDA Falling Wedge Pattern Setup: $127 SL - $153 TargetA falling wedge pattern has formed on NVDA's daily chart, with price action contained between two converging downward trendlines. The stock shows a potential bullish reversal setup after reaching recent highs around $145. Volume has been declining during the pattern formation, which is characteristic of a falling wedge. The setup offers a clear risk-reward with stop loss at $127 and target at $153, with entry planned on a break above the upper trendline.
Don't Miss the Second Wave of AI Opportunities!Are you still regretting missing out on NVIDIA's 10x growth? This time, you may not need to worry. The second wave of AI is forming, and this time, the opportunities are not limited to hardware, but are fully penetrating enterprise-level applications. For investors, this is an unparalleled new window of opportunity.
A Look into the Future: The Development Patterns of AI
Reviewing history, from the power revolution a century ago to the internet revolution in the 1990s, we see similar development patterns. Each revolutionary technology wave will go through three key stages. Let's take the internet revolution as an example:
Infrastructure Construction Stage
In the late 1980s and early 1990s, the internet was just emerging, and its applications were still very limited. The companies that benefited most were those in the foundation layer, such as Cisco and Intel.
The first stage of AI development was similar, with chip giants like NVIDIA driving the construction of AI infrastructure.
2. B2B Application Rise Stage
In the mid-1990s, the internet gradually entered the enterprise-level application field, with CRM and supply chain management software emerging, improving corporate production efficiency.
AI is currently entering this stage, with companies optimizing operational processes using AI technology to achieve cost reduction and efficiency improvement.
3. C2C Consumer-Level Application Popularization Stage
In the late 1990s, various C2C killer applications began to emerge, such as Amazon, PayPal, and Yahoo!, which became familiar companies.
Now that the first wave has stabilized, the question is: when will the second wave arrive in B2B applications?
Many ordinary people have a feeling that AI applications are limited to chatbots like ChatGPT, and that true killer applications have not yet arrived or will take a long time to develop.
As a result, some people believe that AI investment is still too early, and that what's being blown up now is just a bubble.
Indeed, we can see that C2C applications are still in development and will take a long time to mature. However, in B2B applications, AI has already been widely deployed and has shown significant effects in certain specific fields. It's just that ordinary people haven't yet felt it.
As investors, we must be more sensitive than ordinary people because corporate changes will be critical to the second wave of AI.
The Second Wave of AI: The Golden Era of Enterprise-Level Applications
The following graph is a summary of the top-ranked industries in which AI-driven companies are most likely to benefit.
As for software companies like ETFIGV, we can see from their financial reports that AI is driving significant improvements in corporate operating efficiency.
The following graphs show the gross margin and EBITDA margin of three typical software companies: Shopify, Salesforce, and ServiceNow.
Explaination:
Gross margin reflects the main product profit of software companies, while EBITDA margin reflects the company's operating profit after deducting depreciation and interest.
In other words, it represents a company's ability to generate profits from limited resources.
We can see that these three companies have seen significant improvements in their EBITDA margins over the past two quarters while maintaining stable gross margins.
Data does not lie; this may indicate that AI is already seeing effects in enterprise-level applications.
• Shopify: By optimizing internal processes using AI, it maintained stable gross margins while improving EBITDA margins and directly driving stock price growth by 30% after reporting earnings.
• Salesforce: It launched its "INS Instant" AI tool to automate 370,000 tasks, saving 50,000 hours of labor time and significantly improving employee efficiency.
• ServiceNow: Its AI accelerated data extraction speed by 53%, work flow efficiency by 27 times, and RPO growth by 26%, providing more powerful workflow optimization services for enterprises.
These data clearly show that AI is not just a buzzword but brings actual efficiency and profitability improvements to enterprises.
Snowflake: A Breakthrough in Enterprise Data Analysis
Snowflake's case is more representative. This data analysis platform focuses on providing intelligent operational support to enterprises using AI technology.
This quarter's RPO increased from $52 billion to $57 billion, reflecting enterprise trust in its AI capabilities. CEO's "All-in-AI" strategy not only drives data mining efficiency but also drove its stock price up by 30% after reporting earnings.
Insurance Industry Digital Transformation: AIFU and BGM's Strategic Cooperation
The insurance industry is an important target area for AI transformation due to its information-intensive nature. It is at the forefront of digital transformation, especially with AI technology driving it forward.
AIFU's smart future has already achieved insurance industry transformation through its core product "Duxiao" platform.
"Duxiao" is an AI-driven insurance platform developed jointly by AIFU and Baidu. By combining big data and AI technology, it can provide personalized insurance solutions for customers.
The platform analyzes customer health insurance needs, education planning, and wealth management needs in depth and generates highly customized insurance configuration plans. This has significantly improved agent productivity and accuracy while reducing operating costs.
As of December 2023, AIFU's revenue reached $31.98 billion, with a year-on-year growth rate of 14.98%. Net profit was $2.89 billion with a year-on-year growth rate of 237.25%.
AIFU's PE ratio (TTM) is only 3.5 times. In comparison to industry giants such as Prudential (PUK) and AXA (AXAHY), which have PE ratios above 12 times or even higher than AIFU.
AIFU's strategic acquisition of two subsidiaries by BGM on Friday includes core technology assets such as "Duxiao" platform. BGM is a global pharmaceutical and chemical company that has actively promoted its AI strategy in recent years.
By integrating AI with data analysis, BGM is reshaping its business model towards a more intelligent future.
How to Seize Opportunities in the Second Wave of AI?
What kind of companies will ultimately succeed? I can share with you my thoughts on what kind of companies need to possess these characteristics:
Strong Competitive Moat: Companies that can continuously strengthen their competitive barriers through AI.
Data Monopoly Advantage: Companies that build models using high-quality private data rather than public data.
Flexible Business Model: SaaS platforms with pay-as-you-go pricing models have more scalability and profitability potential.
Strong Execution Ability: Agile and decisive management teams that can quickly deploy technology.
Conclusion:
The future belongs to those who dare to layout!
NVDA to $180 or $190 in 35 days ?NVDA is re-entering an upward channel that began on August 5, 2024, when it hit a low of $90.69 following its 10:1 stock split. This movement coincides with the stock surpassing the key $140.76 high recorded on June 20, 2024, which we identify as the end of Wave 3 in its major bullish cycle .
After the Wave 4 correction , which took the price from $140.76 down to a low of $90.69 on August 5, 2024, NVDA appears to have started a Wave 5 . This wave has the potential to drive the price to $180.00, or even $190.00, possibly by Friday, January 17, 2025 , the last trading session before the inauguration of President Donald Trump.
Our Perspective on NVDA's Major Bullish Cycle
We divide this cycle into the following stages, based on Elliott Wave theory:
Wave 1
Period: May 13, 2016, to November 22, 2021
Price movement: from $1 to $34.65 (+3365%)
Wave 2
Period: November 22, 2021, to October 13, 2022
Price movement: from $34.65 to $10.81 (-68%)
Wave 3
Period: October 13, 2022, to June 20, 2024
Price movement: from $10.81 to $140.76 (+1202%)
Wave 4
Period: June 20, 2024, to August 5, 2024
Price movement: from $140.76 to $90.69 (-36%)
Wave 5 (in progress)
Estimated period: August 5, 2024, to January 17, 2025
Projected price movement: from $90.69 to $180.00 (channel midpoint) or $190.00 (channel top) (+100% projected).
Key Levels to Monitor
$180 as the channel midpoint , and $190 as the upper limit by January 17, 2025.
If NVDA exits the upward channel and breaks below $131, we will exit our position in the stock .
Our opinion is for educational purposes only and should not be considered a recommendation to buy. Before making any investment, consult with your financial advisor.