Discover investment opportunities in Best AI Stocks Under $250 using our Smart AI Filter.
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Discover investment opportunities in Best AI Stocks Under $250 using our Smart AI Filter.
AI is processing your request...
Scanning thousands of stocks to find the best matches...
Discover investment opportunities in Best AI Stocks Under $250 using our Smart AI Filter.
10 stocks found for "Best AI Stocks Under $250"
Security name | Expected returns | Sharpe Ratio | Beta | Volatility | P/E Ratio | Dividend Yield |
|---|---|---|---|---|---|---|
0.83 | ±32.5% | 20.0 | 0.47% | |||
1.08 | ±51.5% | 30.2 | 0.00% | |||
1.15 | ±56.7% | 238.2 | 0.00% | |||
0.70 | ±32.5% | 18.5 | 0.01% | |||
1.00 | ±44.1% | 22.3 | 0.00% | |||
1.07 | ±33.4% | 24.5 | 0.61% | |||
0.51 | ±26.4% | 38.2 | 0.81% | |||
1.36 | ±73.8% | 285.9 | 0.00% | |||
1.06 | ±59.4% | 23.2 | 0.00% | |||
1.02 | ±54.4% | 38.7 | 0.03% |
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Compliance disclosure:
The securities listed on this website have not paid to be included in the results. The inclusion of any securities in the results shown does not imply any relationship with PortfolioPilot. The order of the results is ranked based on the Sharpe Ratio, which is a measure of risk-adjusted return. Please note that these listings are not recommendations or financial advice. Past performance is not indicative of future results.
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Read moreQ: Why do investors consider NVDA a significant player in AI sector?
A: NVIDIA (NVDA) is renowned for its GPUs, critical for AI model training and inference. These GPUs are integral to AI-based computing due to their parallel processing capabilities. Additionally, NVIDIA's innovations, like the A100 Tensor Core GPU, have positioned the company as a leading supplier of AI hardware solutions, bolstering its significance in advancements like autonomous vehicles and data centers.
Q: What makes AMD attractive for those interested in AI technology?
A: Advanced Micro Devices (AMD) competes in the AI space with its high-performance, energy-efficient processors. Their EPYC server processors support AI workloads, and the strategic acquisition of Xilinx enhances their credentials in adaptive computing, advancing AI capabilities. AMD's emphasis on high-performance architecture makes it a consideration for AI-focused investors.
Q: How does PATH's business model benefit from AI advancements?
A: UiPath (PATH) specializes in robotic process automation (RPA), enabling businesses to automate repetitive tasks. Their AI-enhanced software streamlines workflows, reduces costs, and increases efficiency, which is why some investors see potential growth as AI adoption broadens across industries, enhancing PATH's market applicability.
Q: What role does SNOW play in the AI and data analytics sectors?
A: Snowflake (SNOW) offers a cloud-based data platform that efficiently manages and analyzes large-scale datasets. Its architecture supports AI-driven data applications. Snowflake's scalability and data-sharing capabilities make it a favored choice for enterprises seeking to leverage AI for data-driven decision-making.
Q: How might PLTR provide opportunities within the AI sector?
A: Palantir Technologies (PLTR) provides robust data integration and analytic solutions, leveraging AI to empower stakeholders in making informed decisions. Its platforms, used across government and commercial sectors, underscore PLTR's potential in defense, healthcare, and finance, making it an AI-investor's consideration.
Q: Why is INTC pivotal in AI technology development?
A: Intel (INTC) significantly contributes to AI through its hardware and software solutions. Their processors and accelerators, like the Intel Xeon and AI-enhancing chips, aid in AI research and deployment. Intel's deep learning frameworks and edge computing solutions showcase their strategic positioning in advancing AI technologies.