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NVDA trade ideas

NVDA Bullish Reversal Short TermTechnical Analysis Chart Overview Trend Analysis: NVDA has been in a downward trend but is showing signs of recovery with a short-term upward channel developing. The stock is making higher highs and higher lows, indicating a potential bullish reversal in the short term. Support and Resistance Levels: Immediate Support: Around $103.50 (marked by the red line). Major Support: At $97.22, below the current price action and a key level for the bulls to defend. Immediate Resistance: Around $107.96 (green line), a recent swing high. Major Resistance: At $116.77 and $120.26. These are significant levels where the price has faced resistance in the past. Volume Profile: High Volume Node (HVN): There is significant trading activity around $105-$108, indicating a critical zone of interest. Low Volume Node (LVN): Above $110, the volume thins out, suggesting a potential for quick price movement if the stock can break above this area. Momentum Indicators: MACD: The MACD line is above the signal line, suggesting bullish momentum, but the histogram indicates a possible weakening of this momentum. Stochastic Oscillator: Currently in the overbought zone, signaling a potential pullback in the near term. Price Action: The price has been in an upward trajectory, recently breaking through a descending trendline resistance. The recent price action suggests a bullish bias, with a potential test of the $110 level soon. Market Data and Sentiment Recent News and Catalysts: Nvidia has been benefiting from the surge in demand for AI chips and related technologies. Recent partnerships and new product releases could act as catalysts for further price appreciation. Analyst Sentiment: Most analysts are bullish on Nvidia, citing strong growth prospects in the AI and gaming sectors. Price targets from major investment banks are generally higher than the current market price, reflecting positive sentiment. Market Sentiment: Social Media: Positive, with investors optimistic about Nvidia’s growth potential and market leadership in AI technology. Institutional Investors: Many institutions are bullish on Nvidia, viewing it as a core holding for long-term growth portfolios. Price Levels and Trading Blocks Buy Block: Strong buying interest is evident around the $100-$105 area, which is currently acting as a support zone. Sell Block: Sellers are likely to be active around the $110-$112 level, as indicated by the volume profile. Entry and Exit Points Bullish Scenario: Entry Point: Consider entering a long position if the price sustains above $107.96 with strong volume. Exit Point: Take profits around $110 and $116.77 levels. Stop Loss: Place a stop loss below $105 to protect against downside risk. Bearish Scenario: Entry Point: Consider shorting if the price falls below $103.50 and fails to reclaim it. Exit Point: Cover the short position around $100 and $97.22 levels. Stop Loss: Place a stop loss above $106 to manage risk. Key Levels to Watch Breakout Level: A break above $110 could lead to a strong rally towards $116 and potentially $120. Breakdown Level: A fall below $103.50 could lead to a retest of the $100 and $97.22 levels. Trading Strategies Scalping: Look for quick trades within the $105-$110 range, buying on dips and selling on rallies. Swing Trading: Consider buying on pullbacks to the $103-$105 zone with a target of $110-$112. A stop loss can be placed below $102. Options Trading: Call Options: For a bullish outlook, consider buying call options with a strike price near $110. Put Options: If anticipating a decline, consider buying puts with a strike price around $100. Conclusion Nvidia (NVDA) appears to be in a short-term bullish phase, with potential for further upside if key resistance levels are broken. Monitoring the $107.96 resistance and the $103.50 support will be crucial in determining the stock’s direction for tomorrow and the upcoming week. Disclaimer The information provided in this analysis is for informational purposes only and does not constitute financial advice. Trading stocks and other financial instruments carries a high level of risk and may not be suitable for all investors. Past performance is not indicative of future results. Please consult with a financial advisor before making any trading or investment decisions.
NASDAQ:NVDALong
by BullBearInsights
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
NVDA - Short Term Update - Resistance Zone IncomingFrom a short term perspective, NVDA may find significant resistance at the 117/118 level, and how it acts there will determine the coming months. What I want to see is a nice consolidation / falling wedge / falling channel from that zone to set up for more upside. If we fallback into the channel I've defined, then likely we see further downside, even if just a bit, and we'll watch the waves from an EWT perspective and determine what we do moving forward. Being an aggressive buyer back last Monday (black Monday?) was a good opportunity, especially long term. If you liked NVDA at $130, you should have loved it below $100. Certainly many scalping opportunities for the day traders, but wait for a quality setup and don't feel like you always have to be in a trade. Have a great day everyone!
NASDAQ:NVDALong
by bitdoctor
2
Final Retracement?I don't know whether this is final but we have reached the 78 % Fibo retracement level today. If there will be a rebound then it should be now. Intraday we've made part of the way already but there is a good chance to gain more as the way down has been a long one. The morning gap has been closed already but there is another to be closed at the 24th July. Perhaps it cannot be achieved as the resisting MAs lay immediately below it. Anyway, the direction has to be clearified now and an attempt to look for the upside seems to be likely.
NASDAQ:NVDALong
by motleifaul
NVDA - Have we found a BottomNVIDIA Corporation has been the darling of us stock traders for the last 12 months and we wanted to publish an idea to look at the technical analysis arguments of whether this is a good time to buy this stock at a discount. The first thing we are looking at, is the volume using Diddly Liquidity Zones and you can see here how on this one hour chart the indicator picked the end of the bull run on the 20th June 2024. Today is the first time since the start of the sell off that we have seen significant bullish activity. Although at this stage it is important to point out a couple of facts: 1. Newly created bull zone has not yet been confirmed. To be a confirmed bull zone, we will want to see price trading above this level for a period of time. 2. During the creation of the bull zone the indicator has printed a potential short term reversal signal (red triangle), which makes it even more important not to consider an entry until we see confirmation as mentioned in point 1 above. We also have a couple of trend lines from traditional technical analysis that are currently in play and we would want to see those broken and signifies the extent that we would want to see price trading above today's new created Bull Zone. Before considering getting back on the buy side during a retest of this zone. This has been annotated below. We also consider the "Diddly Real Volume Trend" indicator, which at the moment supports the idea that we could have found a bottom. On this 15 minute chart we are now making higher highs and higher lows. It is also important to consider other principles. Here on this daily chart, using the FIB discount pricing principles, we have certainly found buyers at these levels In a Perfect World With the AI stocks being so hot, the following maybe wishful thinking and is why it is important to trade what you see and not what you want. Our ideal buy price for this stock would be the between 90 and 75 dollars, where we have some strong levels to work with and a great risk reward potential. What Next? So for now we are waiting to see how price action plays out in the coming days. We will update this idea as price action evolves.
NASDAQ:NVDALong
by RobMinty
2
A Guide on How to Stay on the Right Side of Market RiskStaying on the right side of the market is the only thing that matters in investing. The goal is simple: be long the things that go up and avoid the things that go down. Although this sounds straightforward, investors often focus too much on the upside potential and forget about the downside. In reality, avoiding the downside is by far the most important factor that will have the biggest impact on your total returns. This is because a -50% loss will always require a +100% gain just to break even. Step 1: Follow the Trend The most effective method to stay on the right side of the market is by following the trend, primarily through moving averages. The two most common types are the Simple Moving Average (SMA) and the Exponential Moving Average (EMA). The EMA assigns more weight to recent price movements, making it more responsive and effective for signalling the start of a downtrend, while the SMA offers a clearer view of the longer-term trend. The simplest way to construct a trend-following indicator is to combine a short-term EMA with a long-term EMA. A buying signal is triggered when the short-term EMA crosses above the long-term EMA, and a selling signal is triggered when it crosses below. This systematic approach ensures clear and actionable signals. Optimizing this strategy involves backtesting various EMA combinations to strike a balance between minimal trading frequency, lowest maximum drawdown, and highest profit factor. It’s also crucial to select assets that have historically adhered to trends, as these are more likely to continue doing so. Assets that typically adhere to trends, such as cryptocurrencies, fiat currencies, commodities, and tech stocks, are often driven by speculative or uncertain future expectations. By incorporating a longer-term SMA and adding a safety margin to the calculation, you can help minimize false signals from the EMAs. It’s advisable to compare asset performance not only against the USD pair but also against the safest investable asset in the selected asset class. This comparison helps determine if the additional risk is worth taking. Step 2: Draw the Lines Trend-following strategies are effective only with a clear market trend. Without it, prices may exhibit range-bound movements and generate false signals. Drawing trend lines and identifying horizontal support and resistance levels are crucial for enhancing the accuracy of these signals. The most reliable entry points typically follow a confirmed breakout from these lines, with older lines often indicating more significant breakouts. When drawing trend lines, it’s crucial to use both normal and logarithmic chart scales. The most reliable trend lines appear consistent across these scales, with a breakout observed on both further confirming the trend. Additionally, identifying reliable patterns like head and shoulders, inverse head and shoulders or double tops and bottoms can further validate trend breakouts. TradingView’s pattern recognition tools can automate this process and provide price targets, which can be helpful but are not always guaranteed. Step 3: Understand the Macro Following current macroeconomic conditions can enhance your understanding of the overall business cycle. The primary macro forces that influence asset markets are growth, inflation, and policy. These factors are subjective and not directly quantifiable, making them unsuitable for direct investment decisions. However, they are useful for assessing the market’s risk appetite, which should influence only your position size and not your systematic approach. The US Composite Leading Indicator (CLI) is one of the most informative macroeconomic indicators, providing insights into potential economic growth trends and helping anticipate inflections in the business cycle. Monitoring the US inflation and unemployment rates is also beneficial, as they significantly influence monetary policy. While minor fluctuations may not provide much insight, sustained trends that align with the Federal Reserve’s targets of 2% inflation and low unemployment are indicative of a healthy economy. Furthermore, tracking global liquidity can reveal the real-time effects of monetary and fiscal policies implemented by major central banks and governments. This serves as a valuable tool to assess the market’s risk appetite. In conclusion, this guide helps investors stay on the right side of the market by adopting a systematic approach that captures bull markets while avoiding major downturns. Recognizing that the future is unpredictable and that markets are driven by momentum, this method can both preserve and grow your wealth in a less stressful way. A disciplined, systematic approach, executed dispassionately, is essential for navigating market uncertainties. All indicators discussed are publicly available or can be accessed on my profile. Disclaimer: This article is for informational and educational purposes only and should not be construed as investment advice.
NASDAQ:NVDAEducation
by ingeforberg
5
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
NVDA Share Price Holds Above Psychological LevelNVDA Share Price Holds Above Psychological Level On 10 July, we noted strong selling pressure above the $130 per share level. Since then, the price has dropped by approximately 22%. Losing more than a fifth of its market value seems like a serious issue, but it’s not as bad as it might appear, especially with emotions running high amid fears of a potential US recession. Technical analysis of the NVDA chart today shows that: → The price is forming an upward trend (shown in blue). The false breakout of the upper boundary on 20 June mirrors the false breakout of the lower boundary of the channel on 5 August (as indicated by the arrows). → It’s important to focus on the interaction between the price and the psychological level of $100. On 5 August, when the price dropped below the lower boundary of the channel, it fell below this round number. However, by the end of the week, NVDA's price had recovered (along with many other stocks in the US market). It’s reasonable to assume that retail traders, who had earlier in 2024 bought NVDA shares on margin due to the prospects of AI development, rushed to liquidate their long positions when they saw the price dip below $100. Thus, the area around the psychological level of $100, reinforced by the lower boundary of the channel, proved to be an important support last week – from the 5 August low, the price has already risen by 15%, approaching the $116 level. This could act as resistance, as it represents the 50% retracement from the decline between the arrows. Meanwhile, forecasts remain positive. According to a TipRanks survey of 41 Wall Street analysts, the average price target for NVDA is $144 within 12 months. Is this realistic? It’s possible that by early autumn, the bulls could shift market sentiment in their favour – much will depend on the fundamental backdrop. Nvidia’s Q2 report is due on 28 August. Recall that after the Q1 report, which was published on 22 May, NVDA's price surged past the $100 psychological resistance with strong momentum. It’s likely that on 28 August, this level will continue to serve as support. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
NASDAQ:NVDA
by FXOpen
2
NVDIA BULLS! DON'T FART TOO LOUDLY. IT'S TOO STUFFYhe AI boom is reaching the sort of lofty heights that characterised history’s great bubbles, from the Dutch tulip mania to the dotcom bust at the turn of the millennium. Investors have now determined that Nvidia alone is worth more than the entire annual output of Spain. Add in the tech companies expected to profit most from the AI revolution — Nvidia along with Amazon, Apple, Alphabet, Meta, Tesla, and Microsoft — and the so-called Magnificent Seven are together valued at more than the stock markets of every other country on the planet. The American stock market’s spectacular performance over the last year, up more than a fifth, has been driven almost entirely by these seven companies. We’ve been here before, many times. New technologies often produce bubbles — railways in the 19th century, automobiles and radios in the 1920s, the internet in the 1990s and now the AI boom, which was triggered by Open AI’s launch of ChatGPT late in 2022. Driving any bubble is the same conviction that the new technology will revolutionise the economy, combined with the fact that nobody can be sure just how it will do that. So narratives of transformation become self-sustaining, as the stock’s rise draws in ever more investors eager to join the ride, creating a self-propelling upward cycle. In time, all bubbles burst, earlier or later.
NASDAQ:NVDA
by Pandorra