2025 Hong Kong's latest AI investment guide

Views 19k2025.02.10

【AI Stock Recommendation】AI Software Stocks on the US Stock Market

DeepSeek is undoubtedly the focus of the market in China and the US market this year, and the focus of attention and the “trade war” are more of a focus for analysts in the tech industry. This is the third article on DeepSeek after the New Year holidays, and this time focuses on the changes brought about in the US equity market.

AI Concept Stocks on the US Stock Market
AI Concept Stocks on the US Stock Market

In the first article”Investment opportunities brought by DeepSeek” Remarks that Wall Street is currently shifting its investment focus from hardware to software, as AI training costs will decrease, attracting more companies to invest in the AI industry chain, while some companies that have already invested or are related, as long as the technology or position maintains a certain advantage, the benefits will be further expanded, and profits will increase Positive help for the valuation of the company.

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AI Concept Stocks on the US Stock Market

Many “AI+” software stocks are covered in the US equity market, including:

AI Hardware Concept Stock

What are the operational requirements after cost reduction? Is the hardware worth the investment?

The author thinks software stocks can be the focus, but today's article wants to talk about what the prospects for hardware and semiconductors are more concerned about. For example, a recent crash caused by a related event $NVIDIA(NVDA.US)$ There are also starting to show signs of recovery. From a technical analysis point of view, many stocks of related concepts are beginning to prepare to repair the decline cracks left behind on January 27, e.g. $Taiwan Semiconductor(TSM.US)$ ; and the ASIC concept $Broadcom(AVGO.US)$ und $Marvell Technology(MRVL.US)$ Almost repaired the crack. All of the above are stocks that semiconductor industry traders believe are likely to continue to look good. Let's take a look at how stock prices are moving recently from technical analysis.

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NVDA ENVIDA

NVDA
NVDA

Technical Analysis:

  • After breaking through a medium-long upward trajectory, initially supported by 250 antennas, KDJ issued a gold cross signal on February 5, and the performance of the MACD is worth watching.

  • Support Level: 115

  • Short line resistance level: 129, critical resistance level 142

TSM TSMC

TSM
TSM

Technical Analysis:

  • The medium-short bullish track and 100-antenna first sight support, and the share price is patching the gap, with KDJ and MACD outperforming the same as NVDA.

  • Support Position: 195

  • Short line resistance level: 215, critical resistance level 226.4

AVGO BOOTHONG

AVGO
AVGO

Technical Analysis:

  • ASIC concept and performance gaps remain unpatched to date. The share price is stronger relative, and whether the 10-day and 20-antenna will form a gold cross is worth paying attention to, and the moving averages are expected to repeat the “multi-head pattern”.

  • Support Position: 226

  • Short line resistance level: 240, critical resistance level 251.2

MRVL MAYWELL TECHNOLOGY

Technical Analysis:

  • Overall performance is the same as AVGO. The overnight counter also almost patched the January 27 decline crack. Also keep an eye on the performance of the MACD.

  • Support Position: 115.6

  • Key Resistance Level 127.5

Fundamental factor analysis of computational power

The emergence of DeepSeek has led the market to worry that the demand for computing will decrease in the future, and enterprises can build data centers with cheaper chips and achieve high efficiency. The author thinks that this idea is very likely wrong. After all, DeepSeek only saves costs when training AI models, and as semianalysis says, DeepSeek actually incurs when it comes to building a data center, which involves 0.05 million Hopper GPUs (0.01 million H1, 0.01 million H800 and 3 million H20), total capital expenditure of $1.63 billion, operating costs are approximately $1.63 billion $0.94 billion.

DeepSeek AI TCO
DeepSeek AI TCO

The cost of market attention has fallen dramatically and is likely to be down to pre-training costs, but DeepSeek's emergence has improved the MoE (Mixture of Experts) framework and MLA (Multi-head Latent Attention) approach, leading to MMLU (Massive Multitask Language Understanding) inferred cost reductions.

However, this does not mean that companies will reduce capital expenditure in the future. From Big Tech Stocks $Meta Platforms(META.US)$$Alphabet-C(GOOG.US)$$Microsoft(MSFT.US)$ und $Amazon(AMZN.US)$ The results show that science companies will continue to invest heavily in developing more efficient AI models. As the author says in the previous article, the competitive white heat of AI products. SOME TECHNOLOGICALLY LEADING AND ADVANTAGED HARDWARE COMPANIES CAN STILL BE WORTH A LOOK AT, AND THOSE HOLDING SUPPLIES STILL DON'T NEED TO WORRY TOO MUCH.

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INGWEIDA PERFORMANCE ANALYSIS

In addition, the results released on February 26 are worthy of attention this time, and the company's outlook and guidance for the future will be the focus. With the advent of DeepSeek, there are many cloud services uploading in the market and AI reasoning vendors are increasing the demand for purchasing H200 GPUs. Hopper's increased demand for rigidity, and it is not excluded that many Mainland companies will buy a range of Hopper GPUs, fearing that DeepSeek's model will further emulate DeepSeek's model, and the company's gross margin and shipment volume guidance may be worth looking forward to. If the above predictions are fulfilled, it is very likely that Inweida or TSMC, which helps dealers, will regain momentum.

In the end, if some of the major banks in the market expect that GB200 is decreasing orders, affecting the company's shipments, we believe that the answer will be revealed in the results on February 26.

As more negative sentiment has emerged in recent times, the pullback volatility of the NVIDIA options has also fallen to a lower level. Reference to the subscription option, which expired at $140, expired on March 21, the pullback volatility has fallen to a lower than average level. A decrease in the level of option money or a lower cost opportunity for speculation.

FINALLY, ASIC APPLICATIONS ARE NOT TO BE IGNORED IN ADDITION TO INGENIDA'S HOPPER, AND MANY LARGE TECH STOCKS ARE CONSTANTLY SPENDING MORE CAPITAL TO DEVELOP BETTER AI MODELS, WHICH ARE LIKELY TO BE FURTHER POPULARIZED, SO BOTH AVGO AND MRVL RELATED CONCEPT WRITERS CONSIDER IT CONDITIONAL. Keep looking good.

  • Author Information

    Chief Analyst of Futu Securities Liang

    (The author is a licensee of the Securities and Exchange Commission and its affiliates do not have any financial interest in the Proposed Share Issuer)

Frequency Asked Questions
AI Stocks Recommended US Stocks
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AI+ Enterprise Services: $Zoom Video Communications (ZM.US) $, $Palantir (PLTR.US) $, $UiPath (PATH.US) $, $Workday (WDAY.US) $, $CFU (CRM.US) $, $monday.com (MNDY.US) $, $SAP SE (SAP.US) $, $C3.ai (AI.US) $、$ServiceNow (NOW.US ) $、$HubSpot (HUBS.US) $、$Gitlab (GTLB.US) $;
AI+ Big Data: $Snowflake (SNOW.US) $, $MongoDB (MDB.US) $, $Confluent (CFLT.US) $, $Oracle (ORCL.US) $;
AI+ Security: $Palo Alto Networks (PANW.US) $, $CrowdStrike (CRWD.US) $, $Flytower Info (FTNT.US) $, $Datadog (DDOG.US) $, $Cloudflare (NET.US) $;
AI+ search: $Elastic (ESTC.US) $;
AI+ Office: $Freshworks (FRSH.US) $;
AI+ Education: $Multi-Neighbourhood (DUOL.US) $
AI+ E-Commerce: $Shopify (SHOP.US) $, $Amazon (AMZN.US) $;
AI+ Finance: $Fortune (INTU.US) $, $Intapp (INTA.US) $;
AI+ Multimedia: $Adobe (ADBE.US) $
AI+ Data Engineering: $Innodata (INOD.US) $;
AI+ Voice: $SoundHound AI (SOUN.US) $;
AI+ Medical: $Tempus AI (TEM.US) $、$Doximity (DOCS.US) $;
AI+ Social: $Reddit (RDDT.US) $;
AI+ Website: $GoDaddy (GDDY.US) $

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