AI Sector Rebounds as DeepSeek Updates Model and KNOWLEDGE ATLAS Launches GLM-5 Flagship

Deep News
Yesterday

The artificial intelligence sector demonstrated strong performance today (February 12), with the HUABAO SHANGHAI SCIENCE AND TECHNOLOGY INNOVATION BOARD ARTIFICIAL INTELLIGENCE TRADING OPEN ENDED INDEX SEC (589520) surging up to 2.38% during the session. The ETF is currently up 1.19%, reclaiming its 20-day moving average. Notably, the fund attracted 4.04 million yuan in net inflows yesterday.

Among constituent stocks, Amlogic led gains with an increase exceeding 14%, followed by UCloud rising over 13%. Sinovation Ventures advanced more than 4%, while Fudan Microelectronics Group and Weisheng Information both climbed over 3%. Other stocks including IntelliFusion and CloudWalk Technology also posted gains.

Market catalysts include user reports indicating DeepSeek has updated its web and application versions, now supporting context lengths of up to 1 million tokens. Additionally, KNOWLEDGE ATLAS launched its new flagship model GLM-5, emphasizing enhancements in programming and intelligent agent capabilities.

CITIC Securities highlighted that AI applications are showing structural strengths, with notable performance in AI fintech, AI healthcare, and AI data sectors. General-purpose agent applications also demonstrate resilient growth. The brokerage expects significant improvement in overall sector profitability, sustained computing power demand, and inflection point opportunities for AI applications.

Guolian Minsheng Securities expressed continued optimism toward AI investment opportunities, validating high industry momentum through four dimensions: 1) Increased capital expenditure from major tech firms; 2) AI assistant Clawdbot demonstrating AI's transition from conversational tools to executors, with promising prospects for edge AI products; 3) Persistent supply-demand tension in computing infrastructure driving upstream inflation, cloud service price increases, and rising H100 leasing costs, potentially extending price hikes in the storage segment; 4) AI entering a phase of application deployment, accelerating demand, and synchronized industry chain growth, warranting a comprehensive bullish outlook on AI trends.

[Domestic Substitution and Technological Self-Reliance] The HUABAO SHANGHAI SCIENCE AND TECHNOLOGY INNOVATION BOARD ARTIFICIAL INTELLIGENCE TRADING OPEN ENDED INDEX SEC (589520) and its feeder funds (Feeder A: 024560, Feeder C: 024561) focus on China's domestic AI industry chain. Constituents include leading domestic GPU developers such as Cambricon, top ASIC manufacturers like VeriSilicon, and AI application leaders including Kingsoft Office. The semiconductor sector accounts for nearly half of the portfolio, providing strong offensive characteristics, while software represents over 30% of holdings, positioning the fund to benefit from potential catch-up rallies in AI applications. The ETF is also a margin trading security, serving as an efficient tool for gaining exposure to domestic computing power.

ETF fee structure: The HUABAO SHANGHAI SCIENCE AND TECHNOLOGY INNOVATION BOARD ARTIFICIAL INTELLIGENCE TRADING OPEN ENDED INDEX SEC does not charge a sales service fee. Subscription and redemption agents may collect commissions up to 0.5%, inclusive of fees levied by stock exchanges and registration institutions. On-market trading fees are subject to securities companies' actual charges.

Feeder fund fees: The HUABAO SHANGHAI SCIENCE AND TECHNOLOGY INNOVATION BOARD ARTIFICIAL INTELLIGENCE TRADING OPEN ENDED INDEX SEC Feeder Fund (Class A) imposes a subscription fee of 1,000 yuan per transaction for amounts at or above 2 million yuan, 0.6% for subscriptions between 1 million and 2 million yuan, and 1% for amounts below 1 million yuan. Redemption fees are 1.5% for holdings under 7 days and 0% for 7 days or longer, with no sales service fee. The Class C feeder fund charges no subscription fee, applies a 1.5% redemption fee for holdings under 7 days (0% thereafter), and levies a 0.3% sales service fee.

Risk disclosure: The HUABAO SHANGHAI SCIENCE AND TECHNOLOGY INNOVATION BOARD ARTIFICIAL INTELLIGENCE TRADING OPEN ENDED INDEX SEC passively tracks the Shanghai Stock Exchange Science and Technology Innovation Board Artificial Intelligence Index, which has a base date of December 30, 2022, and was launched on July 25, 2024. The index recorded annual gains of 12.68% in 2023 and 32.36% in 2024. Index constituents are adjusted according to its compilation methodology, and past performance does not indicate future results. Individual stocks and index components mentioned are for illustrative purposes only and do not constitute investment advice or reflect any fund's holdings or trading activities. The fund manager assesses the ETF's risk rating as R4 (moderately high risk), suitable for aggressive (C4) or higher risk-profile investors. Suitability assessments are subject to selling institutions' determinations. All information presented is for reference only, and investors are responsible for their independent investment decisions. Views, analyses, and forecasts do not constitute investment advice, and no liability is accepted for direct or indirect losses resulting from use of this content. Fund investments carry risks; past performance does not guarantee future results, and other funds managed by the manager do not assure this fund's performance. Invest with caution.

MACD golden cross signals have formed, indicating positive momentum for several stocks.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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