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: 199.570
Low
200.00
Averages
264.97
High
352.00
Current: 199.570
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.
- Market Share Expansion: Nvidia's upcoming Vera Rubin processors are expected to reduce inference costs by 90%, significantly enhancing its competitiveness in the AI inference market, with projected data center sales reaching $1 trillion in 2026 and 2027, a substantial increase from the previous $500 billion forecast.
- Strong Profitability: Nvidia anticipates a 75% increase in earnings per share for the current fiscal year, reaching $8.34, far exceeding the tech sector's estimated 44% year-over-year growth, showcasing its robust profitability and market leadership in the AI sector.
- Partnership Growth: Nvidia has established partnerships with leading AI companies such as Anthropic, Meta, xAI, and OpenAI, providing a stable demand source as these companies see strong adoption of their AI inference applications, further solidifying Nvidia's market position.
- Long-Term Growth Potential: Despite Nvidia's current P/E ratio of 42.5, significantly higher than the Nasdaq-100's 33.4, its strong earnings growth potential justifies this valuation, with expectations of surpassing a $10 trillion market cap within the next three years, attracting more investor interest.
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- Sales Delay: NVIDIA has not sold its H200 AI chips to Chinese enterprises, as reported by Secretary Howard Lutnick, who attributed the delay to China's government banning acquisitions to favor domestic market investment, highlighting the tension in US-China trade relations.
- Policy Impact: The Trump administration approved shipments of H200 chips to China in January with conditions, raising concerns among US lawmakers about potential military applications, which has further complicated sales terms and slowed supply chains.
- Export Restrictions: Lutnick mentioned that the affiliates rule blocking exports to thousands of Chinese businesses is still under consideration, linked to broader trade negotiations, indicating that policy uncertainty may affect NVIDIA's market strategy.
- Investment Potential: While NVIDIA is recognized as one of the best data center hardware stocks, analysts suggest that certain AI stocks may offer greater upside potential and lower downside risk, reflecting a diverse outlook on the AI sector.
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- IonQ's Technological Edge: IonQ, a pure-play quantum computing company, has gained recognition for its world record in quantum computing accuracy and has secured a DARPA contract, which is expected to accelerate the deployment of its technology in military applications, providing essential funding for its future despite currently being unprofitable.
- D-Wave's Quantum Focus: D-Wave is concentrating on quantum annealing technology, with projected revenue of only $24.6 million in 2025 against operating expenses of $121 million; however, its potential applications in manufacturing make it a quantum stock worth watching.
- Nvidia's Hybrid Approach: Although Nvidia does not produce quantum processing units, it is positioning itself for the future of quantum computing by releasing AI models for quantum error correction and adapting its CUDA software for quantum applications, indicating a strategic advantage in the convergence of AI and quantum computing.
- Optimistic Market Outlook: As quantum computing technology matures, the innovations and market strategies of companies like IonQ, D-Wave, and Nvidia are expected to offer investors significant returns, although patience will be required for the widespread adoption of these technologies.
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- IonQ's Technological Edge: IonQ has become the most popular pure-play quantum computing company due to its world record for quantum computer accuracy, recently securing a DARPA contract that accelerates its technology deployment in military applications, thus providing crucial resources for future growth.
- D-Wave's Market Potential: D-Wave Quantum focuses on quantum annealing technology, with projected revenue of only $24.6 million in 2025 against operating expenses of $121 million, yet its applications in manufacturing present a compelling investment opportunity.
- Nvidia's Quantum Strategy: Although Nvidia does not manufacture quantum processing units, it is strategically positioning itself by launching AI models for quantum error correction and adapting its CUDA software for quantum applications, which is expected to benefit from the synergy between AI and quantum computing.
- Investor Patience Required: While IonQ and D-Wave show promising prospects, both companies are currently unprofitable, with IonQ needing additional funding to fend off competition, indicating that investors must be patient as quantum computing approaches mainstream adoption.
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- Earnings Season Begins: Eaton is set to report earnings on Tuesday, with expectations of a roughly 200% year-over-year increase in data center orders within its Electrical Americas segment, indicating that AI buildout is driving order growth and enhancing the company's competitiveness in the data center market.
- DuPont Performance Focus: DuPont will also report on Tuesday, with its Healthcare & Water Technologies segment expected to achieve mid-single-digit organic growth, reflecting the company's strategic direction post-electronics spin-off, and investors will closely watch for commentary on changes in customer behavior.
- Arm Holdings First Earnings Call: Arm will report earnings on Wednesday, focusing on its newly launched AI central processing unit (CPU), which, although not yet on the market, is expected to drive future cloud revenue growth, with investors keen on the health of its smartphone royalty stream.
- Corning Investor Day: Corning will hold an investor day on Wednesday, expected to update its
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- Performance Highlights: Lemonade's Q1 2026 earnings report revealed a 7% increase in premiums per customer, a 23% rise in total customers, and a 71% year-over-year revenue jump, yet a net loss of approximately $36 million led to a nearly 15% drop in stock price on the report day.
- Future Outlook: The company anticipates Q2 2026 revenue between $287 million and $290 million, a significant increase from about $164 million reported for the same period last year, indicating strong market demand and growth potential.
- Investor Patience: Despite Lemonade's early lead in integrating AI into insurance, CEO Daniel Schreiber emphasized that investors must be patient to see the company convert its AI edge into tangible profits, which could shift market perceptions positively.
- Market Competition: Analysts suggest that Lemonade's high valuation metrics and net losses may diminish its appeal to investors, even though its potential for AI applications in the insurance sector remains noteworthy.
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