Markets 2024: Breaking down the year's best performing trades
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Dec 31 2024
0mins
Should l Buy NVDA?
Source: Yahoo Finance
Market Analysis: Catalysts co-hosts Madison Mills and Seana Smith discuss the top market performers for 2024, focusing on record ETF inflows, increased investments in artificial intelligence, and leading S&P 500 stocks as the year concludes.
Expert Insights: The discussion highlights the latest market trends and provides expert analysis for viewers interested in understanding current market dynamics.
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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: 184.770
Low
200.00
Averages
264.97
High
352.00
Current: 184.770
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is a full-stack computing infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. The Company’s segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing platforms and artificial intelligence (AI) solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms, and DGX Cloud computing services. The Graphics segment includes GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems, and Omniverse Enterprise software for building and operating industrial AI and digital twin applications.
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.
Kite: The First AI Payment Blockchain
- Remarkable Market Performance: Since its launch late last year, Kite's price has surged by 205%, currently boasting a market cap of approximately $513 million, positioning it among the top 100 cryptocurrencies globally, indicating strong market demand and investor interest.
- Significant Investment Potential: With a current price of $0.28, Kite attracts investors looking for bargain-priced cryptocurrencies, reminiscent of early Bitcoin investment opportunities, potentially offering substantial returns for risk-tolerant investors.
- Unique Technological Foundation: Kite is a Layer-1 blockchain specifically designed for autonomous AI agents, serving as a base layer for these agents to manage, trade, and pay for data and services, marking a strategic convergence of AI and blockchain technology.
- Future Growth Expectations: If Kite can compete with Bittensor and reach a market cap of $2.2 billion, investors could see 4-fold returns, with the potential to become a top 10 cryptocurrency, implying a 20-fold investment return, showcasing immense growth potential.
See More
Nvidia Reaches $5 Trillion Valuation Amid AI Boom
- AI Market Growth Potential: According to analysts at Grand View Research, the AI market is projected to grow at a compounded annual growth rate of 30.6% until 2033, providing Nvidia with sustained growth momentum and solidifying its leadership in the high-end chip market.
- Strong Financial Performance: Nvidia's quarterly year-over-year growth rate has remained close to 56% since the launch of ChatGPT, demonstrating robust financial performance amid surging demand for AI chips, which further cements its market dominance.
- Valuation Target Challenges: With Nvidia's current valuation at approximately $4.4 trillion, achieving a $10 trillion target by 2030 would require an average annual stock price increase of nearly 23%, a challenging feat given current market conditions and uncertainties.
- Long-Term Investment Value: Despite facing risks from potential economic downturns and possible reductions in AI spending, Nvidia is still considered a strong long-term investment, with investors advised to maintain realistic expectations and avoid overly ambitious forecasts.
See More
Morgan Stanley Bullish on Multiple Tech Companies Post Conference
- Deepening AI Discussions: At Morgan Stanley's tech conference in San Francisco, nearly every company delved into their AI strategies, indicating a significant shift towards deeper AI deployment across multiple business units, reflecting the market's heightened focus on AI technologies.
- Optimistic Outlook for Amazon: Analysts set a $300 price target for Amazon, believing its high-margin businesses will drive greater profits and support investments in last-mile delivery and cloud services, despite a recent 7% stock drop due to quarterly earnings misses.
- Strong Demand for Nvidia: Morgan Stanley remains bullish on Nvidia, with analysts noting robust demand for its Blackwell chip series, which is expected to continue pushing upward estimates, while the upcoming Rubin platform is anticipated to maintain Nvidia's leadership in AI computing architecture.
- Growth Potential for Spotify: Analysts highlight Spotify's 15% penetration in the global smartphone market of 3 billion, alongside its advertising business being just a fraction of the $20 billion global radio ad market, indicating substantial future growth opportunities, especially as user engagement continues to rise.
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Meta Unveils Custom AI Chips to Expand Data Center Capacity
- Custom Chip Launch: Meta publicly unveiled its custom AI chip series, MTIA, aimed at enhancing data center performance and efficiency, which is expected to significantly boost its competitiveness in the AI sector.
- Chip Deployment Plans: The MTIA 300 chip was deployed a few weeks ago, focusing on training smaller AI models, while the MTIA 400, 450, and 500 chips are expected to be operational by 2027, further enhancing capabilities for generative AI tasks.
- Supply Chain Diversification: By partnering with Taiwan Semiconductor for chip manufacturing, Meta has increased the diversity of its silicon supply, reducing reliance on market price fluctuations and enhancing cost efficiency.
- Data Center Expansion: The 5-gigawatt data center being built in Louisiana is part of Meta's expansion plans, expected to support future AI workloads and further solidify its position in the cloud computing market.
See More
Oracle Shares Surge 12% After Strong Q3 Earnings and Debt Assurance
- Earnings Growth: Oracle reported strong third-quarter earnings, leading to a 12% increase in stock price, reflecting the company's success in AI infrastructure investments and boosting market confidence in future growth.
- Debt Plan Transparency: CEO Magouyrk stated that the company does not plan to raise additional debt in 2026, intending to support data center construction through a previously announced $50 billion financing mix, alleviating investor concerns.
- Contract Signing Status: Since the last earnings report, Oracle has signed contracts worth over $29 billion, with an increasing number of customers adopting the new model, indicating strong market competitiveness and demand.
- Data Center Delivery Efficiency: In the third quarter, Oracle delivered 90% of its 400 megawatt data centers on or ahead of schedule, showcasing its efficient operational model and project management capabilities, laying a solid foundation for future expansion.
See More
Meta Unveils Four Custom AI Chips for Data Centers
- Chip Release Schedule: Meta has recently unveiled four custom AI chips, with the MTIA 300 already deployed a few weeks ago, while the MTIA 400, MTIA 450, and MTIA 500 are set to be released every six months, aimed at enhancing data center processing capabilities and efficiency.
- Supply Chain Diversification: VP Yee Jiun Song stated that by partnering with Taiwan Semiconductor for chip manufacturing, Meta can achieve diversity in silicon supply, providing insulation against price fluctuations and strengthening the company's competitive position in the market.
- Memory Demand Challenges: While Meta expects the new chips to feature more high-bandwidth memory to support generative AI tasks, Song expressed concerns about HBM supply shortages, emphasizing that the company has adopted a diversified supply chain strategy to address future challenges.
- Data Center Expansion: Meta is accelerating the construction of data centers in Louisiana, Ohio, and Indiana, with plans to fully deploy the new chips by 2027 to meet the growing demand for AI computing.
See More
Kite: The First AI Payment Blockchain
- Remarkable Market Performance: Since its launch late last year, Kite's price has surged by 205%, currently boasting a market cap of approximately $513 million, positioning it among the top 100 cryptocurrencies globally, indicating strong market demand and investor interest.
- Significant Investment Potential: With a current price of $0.28, Kite attracts investors looking for bargain-priced cryptocurrencies, reminiscent of early Bitcoin investment opportunities, potentially offering substantial returns for risk-tolerant investors.
- Unique Technological Foundation: Kite is a Layer-1 blockchain specifically designed for autonomous AI agents, serving as a base layer for these agents to manage, trade, and pay for data and services, marking a strategic convergence of AI and blockchain technology.
- Future Growth Expectations: If Kite can compete with Bittensor and reach a market cap of $2.2 billion, investors could see 4-fold returns, with the potential to become a top 10 cryptocurrency, implying a 20-fold investment return, showcasing immense growth potential.
See More
Nvidia Reaches $5 Trillion Valuation Amid AI Boom
- AI Market Growth Potential: According to analysts at Grand View Research, the AI market is projected to grow at a compounded annual growth rate of 30.6% until 2033, providing Nvidia with sustained growth momentum and solidifying its leadership in the high-end chip market.
- Strong Financial Performance: Nvidia's quarterly year-over-year growth rate has remained close to 56% since the launch of ChatGPT, demonstrating robust financial performance amid surging demand for AI chips, which further cements its market dominance.
- Valuation Target Challenges: With Nvidia's current valuation at approximately $4.4 trillion, achieving a $10 trillion target by 2030 would require an average annual stock price increase of nearly 23%, a challenging feat given current market conditions and uncertainties.
- Long-Term Investment Value: Despite facing risks from potential economic downturns and possible reductions in AI spending, Nvidia is still considered a strong long-term investment, with investors advised to maintain realistic expectations and avoid overly ambitious forecasts.
See More
Morgan Stanley Bullish on Multiple Tech Companies Post Conference
- Deepening AI Discussions: At Morgan Stanley's tech conference in San Francisco, nearly every company delved into their AI strategies, indicating a significant shift towards deeper AI deployment across multiple business units, reflecting the market's heightened focus on AI technologies.
- Optimistic Outlook for Amazon: Analysts set a $300 price target for Amazon, believing its high-margin businesses will drive greater profits and support investments in last-mile delivery and cloud services, despite a recent 7% stock drop due to quarterly earnings misses.
- Strong Demand for Nvidia: Morgan Stanley remains bullish on Nvidia, with analysts noting robust demand for its Blackwell chip series, which is expected to continue pushing upward estimates, while the upcoming Rubin platform is anticipated to maintain Nvidia's leadership in AI computing architecture.
- Growth Potential for Spotify: Analysts highlight Spotify's 15% penetration in the global smartphone market of 3 billion, alongside its advertising business being just a fraction of the $20 billion global radio ad market, indicating substantial future growth opportunities, especially as user engagement continues to rise.
See More
Meta Unveils Custom AI Chips to Expand Data Center Capacity
- Custom Chip Launch: Meta publicly unveiled its custom AI chip series, MTIA, aimed at enhancing data center performance and efficiency, which is expected to significantly boost its competitiveness in the AI sector.
- Chip Deployment Plans: The MTIA 300 chip was deployed a few weeks ago, focusing on training smaller AI models, while the MTIA 400, 450, and 500 chips are expected to be operational by 2027, further enhancing capabilities for generative AI tasks.
- Supply Chain Diversification: By partnering with Taiwan Semiconductor for chip manufacturing, Meta has increased the diversity of its silicon supply, reducing reliance on market price fluctuations and enhancing cost efficiency.
- Data Center Expansion: The 5-gigawatt data center being built in Louisiana is part of Meta's expansion plans, expected to support future AI workloads and further solidify its position in the cloud computing market.
See More
Oracle Shares Surge 12% After Strong Q3 Earnings and Debt Assurance
- Earnings Growth: Oracle reported strong third-quarter earnings, leading to a 12% increase in stock price, reflecting the company's success in AI infrastructure investments and boosting market confidence in future growth.
- Debt Plan Transparency: CEO Magouyrk stated that the company does not plan to raise additional debt in 2026, intending to support data center construction through a previously announced $50 billion financing mix, alleviating investor concerns.
- Contract Signing Status: Since the last earnings report, Oracle has signed contracts worth over $29 billion, with an increasing number of customers adopting the new model, indicating strong market competitiveness and demand.
- Data Center Delivery Efficiency: In the third quarter, Oracle delivered 90% of its 400 megawatt data centers on or ahead of schedule, showcasing its efficient operational model and project management capabilities, laying a solid foundation for future expansion.
See More
Meta Unveils Four Custom AI Chips for Data Centers
- Chip Release Schedule: Meta has recently unveiled four custom AI chips, with the MTIA 300 already deployed a few weeks ago, while the MTIA 400, MTIA 450, and MTIA 500 are set to be released every six months, aimed at enhancing data center processing capabilities and efficiency.
- Supply Chain Diversification: VP Yee Jiun Song stated that by partnering with Taiwan Semiconductor for chip manufacturing, Meta can achieve diversity in silicon supply, providing insulation against price fluctuations and strengthening the company's competitive position in the market.
- Memory Demand Challenges: While Meta expects the new chips to feature more high-bandwidth memory to support generative AI tasks, Song expressed concerns about HBM supply shortages, emphasizing that the company has adopted a diversified supply chain strategy to address future challenges.
- Data Center Expansion: Meta is accelerating the construction of data centers in Louisiana, Ohio, and Indiana, with plans to fully deploy the new chips by 2027 to meet the growing demand for AI computing.
See More
