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NVDA trade ideas

NVDA at these prices!?! Yes, please. LONG at 140.15You can check my previous NVDA idea to see just exactly how smitten I am with it. Quick summary of that: we are in the early stages of an AI revolution, and NVDA has no serious competitors and they can't make their chips fast enough. I rest my case. Now those who follow me know I HATE trading stocks near earnings. WAY too much volatility. But NVDA is a stock I will happily make an exception for. Could they disappoint? Sure. But I can't say this loudly enough based on the results of my trading system backtest on NVDA: THERE IS NO BAD TIME TO BUY NVDA My system is a perfect 717-0 since NVDA stock began trading. If NVDA has a bad earnings report, I'll just buy more. If you want to know why, go back and check the price levels of every previous "miss" and compare them to where the stock is today. As long as the items in the summary thesis I wrote above stay true, I'm in on a long trade. I'm just mad that I missed out on the last two times it was on sale because my portfolio was already full. Not this time. Long today at 140.15 and I will keep adding as long as my algo screams "OVERSOLD!" I will be using a different exit strategy than usual, though. Even with NVDA I'd prefer not to be long at earnings, so I'll use my FPC exit strategy and if it's profitable at the close tomorrow, I'll take my money, thank NVDA profusely, and walk away. There will always be other opportunities and I'm not a greedy man. I'll leave sweating out hoped for earnings moonshots for others. There's plenty of other places I can make money in the market.
NASDAQ:NVDALong
by redwingcoach
9
The Future of AI Operations: MLOps and NVIDIA's VisionMLOps: Transforming AI into Scalable Enterprise Solutions In today’s fast-evolving technological landscape, MLOps (Machine Learning Operations) has emerged as a vital discipline for businesses striving to scale AI solutions effectively. This burgeoning field combines machine learning, DevOps, and data engineering to streamline the development, deployment, monitoring, and management of machine learning models in production. While MLOps was initially shaped by generalized practices, industry leaders like NVIDIA have taken this framework to new heights, integrating it with cutting-edge hardware and software to drive enterprise AI innovation. Here's a comprehensive look at MLOps and how NVIDIA has helped businesses unlock the true potential of AI. As NVIDIA NASDAQ:NVDA prepares to release its third-quarter earnings, with estimates of $0.74 per share and $32.81 billion in revenue, its dominance in AI and MLOps underscores the strategic importance of these technologies in today’s digital economy. What Is MLOps? At its core, MLOps is a set of best practices, tools, and methodologies designed to operationalize machine learning models, ensuring they remain reliable, scalable, and effective in dynamic environments. It builds on the principles of DevOps, extending them to include data scientists and machine learning engineers, ensuring seamless collaboration across teams. MLOps enables businesses to: 1. Automate repetitive processes such as model training, deployment, and monitoring. 2. Ensure reproducibility of experiments and results. 3. Scale AI solutions as businesses grow. 4. Continuously monitor and refine models to prevent performance degradation over time. Core Components of MLOps 1. Data Pipeline Management: - Automating data collection, cleaning, and preprocessing. - Managing real-time data streams for dynamic model training. 2. Model Development and Experimentation: - Providing tools for tracking experiments, version control, and reproducibility. - Allowing iterative experimentation to optimize models for specific tasks. 3. Model Deployment: - Deploying models into production environments using containers (e.g., Kubernetes, Docker). - Supporting diverse deployment scenarios, including real-time inference and edge computing. 4. Monitoring and Maintenance: - Continuously monitoring model performance for accuracy, latency, and resource efficiency. - Automating retraining pipelines to adapt to changes in data or operational requirements. 5. Scalability and Governance: - Enabling enterprises to scale AI solutions across large datasets and infrastructures. - Ensuring compliance with industry standards and ethical AI guidelines. Here's a practical pie chart showing the distribution of effort across key stages in the MLOps workflow: Data Collection, Model Training, Model Deployment, and Monitoring. MLOps in Action: The NVIDIA Story As one of the pioneers in AI and GPU-based computing, NVIDIA has played a transformative role in advancing MLOps, enabling businesses to scale and operationalize AI solutions with unprecedented efficiency. By providing a robust ecosystem of hardware, software, and services, NVIDIA has set a gold standard for MLOps in enterprise AI. 1. NVIDIA’s AI Infrastructure: NVIDIA’s DGX Systems and DGX SuperPODs deliver the computational power needed to train and deploy complex AI models. These GPU clusters provide unmatched scalability, making them ideal for handling large datasets and real-time AI workloads. Example: The DGX BasePOD architecture allows organizations to create powerful GPU clusters optimized for AI development and deployment. 2. NVIDIA AI Enterprise Suite: The NVIDIA AI Enterprise platform includes tools like: - Triton Inference Server for efficient model deployment. - TAO Toolkit for fine-tuning pre-trained models with minimal coding. - RAPIDS for accelerating data science workflows. These tools simplify the end-to-end AI lifecycle, ensuring businesses can deploy and manage AI models with ease. 3. Real-World Use Cases: - Retail Optimization: A major retailer used MLOps capabilities in a public cloud powered by NVIDIA GPUs to create an AI service that reduced food waste by 8-9%. By forecasting when to restock shelves, the retailer optimized inventory management and minimized spoilage. - Predictive Maintenance: A PC manufacturer utilized NVIDIA’s AI infrastructure to predict laptop maintenance needs, enabling proactive updates and reducing downtime for customers. Scaling MLOps with NVIDIA and Cloud Providers NVIDIA has partnered with major cloud providers to integrate MLOps capabilities into their platforms: - AWS SageMaker: Accelerates machine learning workflows with NVIDIA GPUs, enabling automated model training and deployment. - Google NASDAQ:GOOGL Vertex AI: Leverages NVIDIA GPUs for seamless scaling and orchestration of AI models. - Azure Machine Learning: Offers NVIDIA-optimized infrastructure for developing responsible AI solutions. - Alibaba NYSE:BABA Cloud and Oracle Cloud: Provide NVIDIA-powered platforms for quick experimentation and deployment of machine learning projects. These integrations allow businesses to choose flexible, cloud-based solutions for their AI needs, reducing operational overhead while ensuring performance and scalability. Here's a bar chart illustrating the resource allocation in AI infrastructure across Compute Resources, Storage, Networking, and Software Tools. Why NVIDIA Excels in MLOps 1. Industry-Leading Hardware: NVIDIA’s GPUs are designed for high-performance AI workloads, enabling rapid training and inference. 2. End-to-End Solutions: From infrastructure to software tools, NVIDIA offers a comprehensive ecosystem for MLOps. 3. Focus on Standards: NVIDIA’s collaboration with the AI Infrastructure Alliance (AIIA) helps set industry standards and best practices for MLOps. 4. Support for Open-Source Tools: NVIDIA works with open-source platforms like Kubeflow and ClearML, ensuring flexibility for developers and engineers. With a revenue estimate of $32.81 billion for Q3, NVIDIA’s financial success reflects its role in pioneering AI infrastructure and MLOps solutions. Its offerings, like DGX systems and AI Enterprise, continue to dominate the enterprise AI landscape MLOps: The Future of AI in Business The rapid adoption of AI across industries underscores the importance of robust MLOps frameworks. With NVIDIA’s contributions, enterprises can now manage the full lifecycle of AI development, from data collection to model deployment, with confidence and efficiency. Whether it’s optimizing retail operations, predicting maintenance, or developing cutting-edge applications, MLOps ensures that AI becomes a seamless part of an organization’s digital ecosystem. Thanks to pioneers like NVIDIA, the vision of scalable, reliable, and impactful AI is now a reality. Final Thoughts MLOps is more than just a framework—it’s a paradigm shift in how businesses approach AI. By leveraging NVIDIA’s advanced tools, infrastructure, and partnerships, organizations can achieve unparalleled efficiency, scalability, and innovation in their AI endeavors. The journey from experimentation to enterprise-ready AI has never been more accessible or powerful. As NVIDIA announces its Q3 results, the company’s vision for the future of AI operations becomes even more critical. The expected revenue of $32.81 billion underscores how integral MLOps and AI are to the company's continued growth and innovation. The chart visualizations in this article were created using the TradingView platform, a leading solution for market analysis and charting. Special thanks to TradingView for providing an exceptional platform that supports traders and analysts worldwide.
NASDAQ:NVDAEducation
by SroshMayi
Beyond Fallacy, Heuristic, and Bias..!Fallacy, heuristic, and bias are terms often used in psychology, logic, and decision-making, each referring to concepts that influence how we think and make judgments. Here’s a breakdown of each: 1. Fallacy A fallacy is a flaw in reasoning or logic that undermines the validity of an argument or conclusion. Fallacies can be either formal (based on a structural flaw in deductive reasoning) or informal (based on errors in reasoning related to content or context). Common types of fallacies include: • Ad Hominem: Attacking the person instead of the argument. • Straw Man: Misrepresenting someone’s argument makes it easier to attack. • False Dilemma: Presenting two extreme options when more exist. • Circular Reasoning: Using the conclusion as one of the premises. Fallacies are often unintentional and can result from poor reasoning or emotional biases. 2. Heuristic A heuristic is a mental shortcut or rule of thumb that people use to make decisions or solve problems more efficiently. While heuristics can help us make decisions quickly, they can sometimes lead to errors or biases. They are not guaranteed to be accurate but are practical for navigating complex or uncertain situations. Common heuristics include: • Availability heuristic: Judging the likelihood of an event based on how easily examples come to mind. • Representativeness heuristic: Making judgments based on how similar something is to a prototype, rather than on statistical reasoning. • Anchoring heuristic: Relying heavily on the first piece of information encountered (the “anchor”) when making decisions. 3. Bias A bias is a systematic deviation from rational judgment or decision-making. It often results from heuristics or emotional influences and can affect how people perceive information, interpret data, or make decisions. Biases can lead to faulty reasoning and skewed judgments. Types of cognitive biases include: • Confirmation bias: Focusing on information that confirms preexisting beliefs and ignoring contradictory evidence. • Overconfidence bias: Overestimating the accuracy of one’s knowledge or abilities. • Framing effect: Being influenced by how information is presented, rather than the content itself. In summary: • Fallacies are errors in reasoning that invalidate arguments. • Heuristics are mental shortcuts that simplify decision-making but can lead to errors. • Biases are systematic deviations from rationality, often caused by heuristics or emotional factors. Here's a concise overview of fallacies, heuristics, and biases in trading: Fallacies: 1. Confirmation Bias: Seeking information that confirms existing beliefs while ignoring contradictory evidence 2. Survivorship Bias: Focusing only on successful trades/investors, overlooking failures 3. Sunk Cost Fallacy: Continuing a losing trade because of previous investment Heuristics: 1. Availability Heuristic: Overemphasizing recent or memorable market events 2. Anchoring Heuristic: Relying too heavily on first piece of information encountered 3. Representative Heuristic: Assuming current market conditions will continue based on limited data Cognitive Biases: 1. Loss Aversion: Feeling losses more intensely than equivalent gains 2. Overconfidence Bias: Overestimating personal trading abilities 3. Herding Bias: Following market crowd instead of independent analysis 4. Recency Bias: Giving more weight to recent market performance 5. Emotional Bias: Making decisions based on fear or greed rather than rational analysis Mitigation Strategies: - Develop systematic trading rules - Use objective criteria for entry/exit - Maintain a trading journal - Practice disciplined risk management - Regular self-assessment and strategy review
NASDAQ:NVDAEducation
by Moshkelgosha
NVDA Earnings - A gamblers paradiseQuick update on NVDA going into earnings Video explains much, but from an upside perspective, I'm expecting resistance to hit at about $160 if we do get that gap up with an extended move to $168 possible. Beyond that would be a little unexpected. To the downside, I'm looking at the support at $132 and below that, $123 - all based on fibonacci confluence. There are price action supports that would also support this as well. Beyond $123 would also be unexpected at this time. Trading earnings is highly volatile, so do it with care and don't overleverage yourself! Have a great day!
NASDAQ:NVDA
by bitdoctor
Nvidia Q3 Earnings PreviewAI powerhouse Nvidia is gearing up to unveil its third-quarter earnings on Wednesday, November 20th. With market expectations riding high and the stock already enjoying a stellar year, all eyes are on whether Nvidia can maintain its momentum. Let’s dive into what’s driving the anticipation for this key earnings release. Can Nvidia Beat the Street? Expectations for Nvidia’s Q3 results are sky-high, with Wall Street forecasting earnings per share (EPS) of $0.75, representing an 88% year-over-year increase. Revenue estimates are equally robust at $33.09 billion, an 82.6% jump compared to the same period last year. The data centre segment, Nvidia’s largest revenue driver, is expected to continue benefiting from the global surge in AI adoption, with particular strength in demand for GPUs used in AI training. The market will also watching closely for updates on Nvidia's Blackwell GPUs, which are anticipated to contribute significantly to future growth, despite current supply chain constraints causing some margin pressures. Beyond data centres, Nvidia’s other business segments, such as professional visualisation and gaming, are projected to post moderate growth. While gaming revenue has shown signs of recovery over recent quarters, money managers will be keen to understand whether this segment can return to pre-pandemic levels, given increasing competition and inventory challenges. Guidance for Q4 will also be a critical factor. The market is looking for clarity on whether Nvidia can sustain its impressive growth trajectory into the new fiscal year, particularly as macroeconomic headwinds and regulatory scrutiny pose potential risks to its operations. Key Levels: Technical Analysis Nvidia’s long-term uptrend is undeniable, with shares tripling in value this year. The stock has consistently held above its 200-day moving average and established a supportive ascending trendline fan. Additionally, the volume-weighted average price (VWAP) anchored to the start of the year has proven to be a key dynamic support zone during pullbacks, such as the one in August. That said, recent price action suggests a need for caution among bulls. Nvidia recently rallied to retest its June highs, but progress above this level has been limited. Currently, the stock is trading below the June highs, a sign of potential resistance. This failure, coupled with negative RSI divergence, indicates waning momentum in the short term. Whether Wednesday’s Q3 earnings will inject fresh life into Nvidia’s uptrend or mark a pause in its meteoric rise remains to be seen. NVDA Daily Candle Chart Past performance is not a reliable indicator of future results Key Levels to Watch • Resistance: June highs and last week’s trend highs. • Short-term Support: The trendline fan. • Major Support: VWAP anchored to the start of the year and the 200-day moving average. Disclaimer: This is for information and learning purposes only. The information provided does not constitute investment advice nor take into account the individual financial circumstances or objectives of any investor. Any information that may be provided relating to past performance is not a reliable indicator of future results or performance. Social media channels are not relevant for UK residents. Spread bets and CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 82.67% of retail investor accounts lose money when trading spread bets and CFDs with this provider. You should consider whether you understand how spread bets and CFDs work and whether you can afford to take the high risk of losing your money.
NASDAQ:NVDA
by Capitalcom
Nvidia Testing Key Ichimoku Support Ahead of EarningsUpcoming Earnings The Nvidia Corporation (ticker: NVDA) is scheduled to report earnings after the market closes tomorrow. The consensus Earnings Per Share (EPS) estimate for the fiscal quarter ending October 2024 is US$0.70; the reported EPS for the same quarter a year prior was US$0.38. Trend Favouring Dip Buying Ahead of the company’s earnings report later this week, there is no denying that buyers remain in control. Despite a moderate correction in June and July, the NVDA stock has largely been one-way traffic to the upside, up around 180% this year so far. You will see that the NVDA stock recently established a correction from an all-time high of US$150.00 and is currently testing the Ichimoku’s Base Line (red at US$139.26). Between this value and the Ichimoku’s Conversion Line just above it (Blue at US$143.46), this area, also the case in October, can provide investors with a support zone to work with. Adding to this, you will also see that the Relative Strength Index (RSI) is testing the 50.00 centreline, which can – and often does – provide support for the stock. In the event that current support fails, Ichimoku traders will be closely watching the Ichimoku Cloud Support zone between the Leading Span B (light orange at US$125.36) and the Leading Span A (light green at US$141.36). Price Direction? With the stock trending northbound and the RSI close to testing the 50.00 centreline support, as well as price action currently respecting the lower boundary of the space formed between the Ichimoku’s Conversion and Base Lines, this could be a location that buyers attempt to lift the stock higher.
NASDAQ:NVDALong
by FPMarkets
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.
NASDAQ:NVDAShort
by xugina78
NVDA A Bounce in the Making? Key Levels to Watch for Nov. 19, 24NVDA has been in a short-term downtrend, with declining momentum as it approaches a key support zone. Currently trading near $140, the price action suggests a potential reversal or continuation setup, making it an exciting candidate for both scalping and swing trading strategies. Price Action Insights: Trendline Break Alert: NVDA has respected a descending trendline, but the recent consolidation near $140 hints at a potential breakout. Look for price action around $142-$143 for confirmation of a trend reversal. Support and Resistance: Key Support: $137.10 (recent low) — this level must hold to prevent further downside. Immediate Resistance: $143.30 — a breakout above this level could push the price toward the next supply zone at $149. Supply and Demand Zones: Demand Zone: $135-$137 — expect buying pressure in this area if the price revisits. Supply Zone: $148-$150 — sellers may step in here, making it a logical swing trade target. Order Block: The $137-$140 range shows signs of institutional accumulation. Monitor volume and candlestick patterns for further validation. Indicator Analysis: EMA Strategy: 9 EMA vs. 21 EMA: The moving averages are flattening, signaling potential consolidation. A bullish crossover will confirm upward momentum. MACD: MACD histogram shows reducing bearish momentum. A bullish crossover on the hourly timeframe would strengthen the case for a move higher. Game Plan for Scalping: Entry Points: Go long above $143 on a confirmed breakout with volume. Short below $137 if the support breaks with momentum. Exit Points: Take profits near $145 for long scalps. Cover shorts near $135. Game Plan for Swing Trading: Bullish Scenario: Entry: Above $143 with strong confirmation. Target 1: $149; Target 2: $155. Stop Loss: Below $137 to limit risk. Bearish Scenario: Entry: Below $137 on a breakdown. Target: $132. Stop Loss: Above $143. Thoughts and Suggestions: NVIDIA is in a pivotal zone. A break above $143 could signal the start of a reversal, while a failure to hold $137 may lead to further downside. For scalpers, focus on intraday levels and quick profits. Swing traders should wait for confirmation of the breakout or breakdown before entering. Disclaimer: This analysis is for educational purposes only and should not be considered financial advice. Always conduct your own research and trade responsibly.
NASDAQ:NVDA
by BullBearInsights
1
Get ready get set for Nvidia's earningsIn the lead-up to its earnings report on Thursday morning AEDT, Nvidia's stock pulled back 1.29% to $140.15 overnight. Expectations are high, and the market will go into the announcement positioned long, looking for a fifth consecutive quarterly earnings beat. If Nvidia's results beat expectations, its shares could climb above $150 in the sessions ahead. Conversely, disappointment could prompt a swift downturn toward the critical support level at $130.00. CEO Jensen Huang's commentary on the call will be particularly important regarding expectations around the Blackwell launch, supply, and Hopper shipments. Given Nvidia's significant impact, its performance will undoubtedly drive sentiment in the tech sector and the broader market into year-end. For the record, there is a range of expectations out there. - Eikon has an EPS of $0.72 and Revenues of $32.1 billion expected which seems on the low side. - A large US broker is forecasting EPS of $0.79c and Revenues of $38.8 billion. - Earnings Whisper has EPS of $0.78c and Revenues of $32.81 billion.
NASDAQ:NVDALong
by IG_com
WYSWYGThis week, NVDA reports earnings, confirming a couple of things: 1) whether it can sustain its sales, 2) whether it can increase them, and 3) who is distributing its chips( NASDAQ:SMCI , NYSE:DELL ). Similarly, today it signed an agreement with Google to develop quantum computing chips, a revolutionary step in the field of technology. Technically speaking, we have a large symmetrical triangle(D) that has just invalidated any possibility of a drop. Right now, micro-patterns are forming(B,C), pushing the price up and down within a large descending flag(A). If the flag plays out, we could return to the resistance of the massive symmetrical triangle at $122 USD, which would then act as support. On the other hand, this flag could break, as there are several patterns that could quickly invalidate it. Therefore, I believe we’ll see movement in both directions on Wednesday, but ultimately trending higher and the symmetrical end price is $173
NASDAQ:NVDALong
by AllAboutMoney
8
The key is whether it can be supported and rise near 137.39 Hello, traders. If you "Follow", you can always get new information quickly. Please click "Boost" as well. Have a good day today. ------------------------------------- (NVDA 1W chart) This is the stock with the highest trading volume among NAS100 stocks. It showed a downward trend near 1 (150.20), which was expected to be touched. Accordingly, the key is whether it can maintain the price by rising above 141.98. If not, it is possible that it will fall to around 123.54. - (1D chart) The key is whether it can receive support near 137.39 and rise above the MS-Signal (M-Signal on the 1D chart) indicator. Accordingly, it is expected to continue the upward trend if it rises above 0.886 (143.44). If not, if it falls below 137.39, it is likely to fall near the M-Signal indicator on the 1W chart. - Have a good time. Thank you. --------------------------------------------------
NASDAQ:NVDA
by readCrypto
NVIDIA in a Channel – Key Levels to WatchHey trading family, NVIDIA is moving in a channel, and the next breakout could set the tone. Here’s what I’m seeing: Break below $137: This could trigger a correction down to $134, $132, $129, and possibly $120. Break above $143: If we clear this level, NVIDIA could push up toward $154. This channel setup gives us a clear roadmap for both upside and downside potential. What’s your game plan? Like, comment, and share your thoughts! Got your own ideas or questions? Send me a DM – let’s chat about it. Mindbloome Trading // Kris Trade What You See.
NASDAQ:NVDA
by Mindbloome-Trading
Nvidia RETRACEMENT Imminent to $105-110 per shareNvidia recently reached an all-time high of $149.76, marking a 50% increase since my analysis on August 2, 2024. With earnings due in three days, I believe the current price already reflects market expectations. Looking ahead, the upcoming release of Blackwell GPUs, likely in early January, and before the CES tech event (largest international tech event: 7-10 January), sets the stage for a strong 2025. Given the anticipated demand in AI and gaming markets, Nvidia's growth trajectory will likely remains strong. In the short term, I expect the stock price to retrace to the $105–$110 range. While a correction is not guaranteed, such a pullback would open the door for an excellent buying opportunity and I will be going 'all in', if this occurs. By the end of 2025, I estimate Nvidia’s stock to reach $200 per share, representing a potential 100% gain from the anticipated dip. This forecast is based on strong fundamentals, and increasing demand of GPUs for large datacentres for AI.
NASDAQ:NVDAShort
by TheOneKronus
2
Nvidia Earnings Next Week: Key Insights for Traders - Recent Performance: In the lead-up to its earnings report scheduled for October 20, Nvidia (NVDA) has experienced significant market volatility, closing at approximately $142. The stock has oscillated within a range of $140 to $158, reflecting broader semiconductor sector trends. Despite a recent downturn of around 3%, Nvidia remains a standout performer, benefitting from strong investor interest in AI technology. - Key Insights: Traders should remain cautious as Nvidia's upcoming earnings could significantly influence market sentiment. If the stock sustains levels above $140, it may present a solid buying opportunity. However, a drop below this level could trigger further declines, marking a shift towards a bearish trend. It is crucial to watch Nvidia's earnings closely, as this could define short-term price movements and longer-term trends in the semiconductor industry. - Expert Analysis: Analysts predict that Nvidia's earnings will demonstrate impressive growth, estimating revenues of around $33 billion, but they caution against underestimating the potential for supply issues. Traders generally view the upcoming report as a critical moment for both Nvidia and the broader tech market, stressing the importance of the guidance given during the earnings call. The sentiment appears cautiously optimistic, though uncertainty looms about immediate post-earnings volatility. - Price Targets: Based on the wisdom of all professional traders, the next week targets for NVDA are as follows: Target 1: $145 Target 2: $155 Stop 1: $140 (support level to monitor for long positions) Stop 2: $135 (critical low to signal a bearish trend) Longer-term targets include a potential price of $175 within the next two to three months if Nvidia successfully navigates this earnings season and continues to capitalize on AI demand. - News Impact: Nvidia's earnings report is drawing particular focus, as the company plans to unveil projected revenues and expectations tied to its new Blackwell chips. Furthermore, the semiconductor sector's dynamics will be under scrutiny, especially following recent negative sentiment surrounding other key players. Any weak guidance or disappointing results could prompt a broader market sell-off, particularly affecting related tech stocks. This succinct analysis should equip traders with essential insights and actionable strategies as Nvidia approaches this pivotal earnings report, enabling informed decisions within a volatile market landscape.
NASDAQ:NVDALong
by CrowdWisdomTrading