Tuesday's ETF with Unusual Volume: SIXG
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Aug 12 2025
0mins
Should l Buy NVDA?
Source: NASDAQ.COM
ETF Performance Highlights: On Tuesday, Nvidia and Apple saw increases in trading volume, with Nvidia up 0.3% and Apple up 0.9%. AST Spacemobile performed the best with an 11.4% rise, while Crown Castle experienced a decline of 1.4%.
Market Insights: The article discusses unusual trading volumes within the Defiance Connective Technologies ETF, emphasizing the performance of its components.
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Analyst Views on NVDA
Wall Street analysts forecast NVDA stock price to rise
41 Analyst Rating
39 Buy
1 Hold
1 Sell
Strong Buy
Current: 207.830
Low
200.00
Averages
264.97
High
352.00
Current: 207.830
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is an artificial intelligence (AI) infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. Its segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing and networking platforms and AI solutions and software, and automotive platforms and autonomous and electric vehicle solutions, including software. The Graphics segment includes GeForce GPUs for gaming and personal computers (PCs), and Quadro/NVIDIA RTX GPUs for enterprise workstation graphics. Its technology stack includes the foundational NVIDIA CUDA development platform that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, frameworks, algorithms, software development kits (SDKs), and application programming interfaces (APIs). Its platforms address four markets, which include Data Center, Gaming, Professional Visualization, and Automotive.
About the author

Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
- Significant Earnings Growth: Nvidia achieved a remarkable 65% revenue growth in fiscal 2026, primarily driven by artificial intelligence, although concerns about future growth slowing persist in the market.
- Market Share Risks: While Nvidia maintains its leadership in the AI chip market, other semiconductor companies are actively developing their own AI chips, which could impact its market share, although this is unlikely to threaten its leadership position in the short term.
- Valuation Pressure: With a market cap of approximately $4.8 trillion, Nvidia's strong revenue growth is tempered by a P/E ratio of 40, and if the stock were to decline by 25% over the next 12 months, its P/E could drop to 18, potentially entering value stock territory.
- Investor Strategy: Despite the potential for AI growth to slow, investors are advised to hold Nvidia shares, as current performance remains robust and valuations may adjust downward in the future, thereby limiting potential downside risks.
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- Local AI Server Development: SoftBank plans to start designing and assembling local AI servers by the end of the decade to meet the growing demand for sovereign AI services, which is expected to significantly enhance its competitive edge in the AI market.
- Partnership Formation: SoftBank has initiated discussions with Nvidia and Foxconn to leverage Nvidia's GPU certification program and Foxconn's manufacturing capabilities, thereby strengthening its technological prowess and market position in high-performance server development.
- Manufacturing System Establishment: SoftBank aims to build a production base at a former Sharp plant, transitioning from assembling externally sourced components to eventually controlling the entire server production process, which will help improve production efficiency and reduce costs.
- AI Infrastructure Integration: The new servers will not only be used in SoftBank's data centers but will also support its AI-RAN integrated infrastructure, designed to handle communication and AI processing simultaneously, further advancing its strategic positioning in the AI sector.
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- Custom Chip Market Growth: Amazon's custom chip business is growing at a triple-digit percentage, boosting AWS's overall growth rate to 28%, marking its best quarter in nearly four years, indicating strong demand and competitiveness in the cloud computing market.
- TPU External Sales: Alphabet's launch of the eighth-generation TPU, which offers an 80% performance improvement, and its direct sales to select clients are driving Google Cloud to achieve a 63% year-over-year growth in Q4, showcasing its potential in the AI market.
- Trainium Chip Shortage: Amazon has sold out a significant portion of its Trainium4 chips, which are still 18 months away from release, while Trainium3 chips are nearly sold out, reflecting strong market demand for high-performance custom chips.
- Competition Between GPUs and Custom Chips: While custom AI chips excel in certain applications, Nvidia's GPUs maintain a crucial market position due to their flexibility and universal applicability, suggesting potential market share challenges from custom chips in the future.
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- Market Reaction: Stocks gave up early gains as negotiations between the U.S. and Iran showed signs of stagnation, with the S&P 500 closing down 0.4%, the Dow Jones down 0.6%, and the Nasdaq down 0.1% after morning gains.
- Small-Cap Struggles: The Russell 2000 index fell 1.6% due to renewed Middle East tensions, with small-cap stocks being particularly sensitive to interest rates and inflation, exemplified by Bloom Energy's nearly 10% drop.
- Inflation Expectations Rise: The escalation in the Middle East has led to rising oil prices and interest rates, signaling that inflation may continue to increase, which places additional pressure on small-cap stocks that react strongly to macroeconomic changes.
- Investment Opportunity Analysis: Despite small-caps lagging behind large-caps during the AI boom, the valuation gap may prompt a rotation from large to small stocks, with the iShares Russell 2000 ETF trading at a P/E of 19.4 compared to 27.5 for the S&P 500 ETF, indicating potential for growth.
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- Intensifying Market Competition: Amazon's Trainium chip business is growing at a triple-digit percentage, boosting AWS's overall growth rate to 28%, indicating strong performance in AI demand, although some chips will take 18 months to deliver, highlighting high market demand for custom chips.
- Surge in Google Cloud Revenue: The launch of Google's eighth-generation TPU has led to a 63% year-over-year revenue increase for Google Cloud, achieving a 33% operating margin, demonstrating its growing competitiveness in AI inference, which could pose a threat to Nvidia.
- Flexibility vs. Performance Trade-off: While both Amazon and Google are promoting their own chips, they still aim to maintain partnerships with Nvidia, as Nvidia's GPUs offer flexibility and universality, ensuring clients can migrate workloads between cloud providers without being locked in.
- Market Potential of Custom Chips: As the performance advantages of custom AI chips become increasingly evident in specific applications, they are expected to further erode Nvidia's market share, although Nvidia's GPUs remain the most flexible option in the AI space, indicating a more intense competitive landscape ahead.
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- New Cybersecurity Challenges: The Australian Securities and Investments Commission (ASIC) has highlighted that the emergence of frontier AI systems like Mythos not only presents opportunities but also significantly increases cyber risks, urging the financial sector to take immediate action to enhance cybersecurity practices.
- Call for Urgent Action: ASIC commissioner Simone Constant emphasized that the financial services industry must act swiftly to strengthen cyber resilience fundamentals in response to threats posed by new AI models, advising against waiting for perfect clarity before addressing these risks.
- Disparity in AI Adoption Rates: Research indicates that financial institutions are adopting AI at more than twice the rate of their regulators, with only 20% of regulators reporting
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