Buying Opportunity Emerges as AI ETF Tests Key Support Level With Over 30 Million Inflows

Deep News02-25

The Science and Technology Innovation Artificial Intelligence ETF (589520), which focuses on China's domestic AI industry chain, fell for two consecutive days, with its intraday price dropping 1.76% and testing the 10-day moving average support level. This decline may have been influenced by external sentiment towards AI stocks. Data from the Shanghai Stock Exchange shows the ETF attracted inflows of 30.99 million yuan over the past two trading days, indicating investor confidence in the future performance of domestic AI and strategic accumulation during the dip.

Among the constituent stocks, Datatronics Technology rose over 2%, while Zhongke Star Map and Hehe Information gained more than 1%. Cambricon and Anlu Technology also traded in positive territory. On the downside, Star Ring Technology fell more than 9%, and VeriSilicon Holdings dropped over 5%, leading the declines and weighing on the index.

Huaxi Securities noted that China's large AI models recently experienced a "Spring Festival" surge, with the technological trend shifting from general-purpose chatbots to vertical productivity tools and practical agent applications. Key developments include industrial-grade video generation, engineering-level programming capabilities, and consumer-office integration. The AI sector remains in a critical acceleration phase, with growing demand for computing tokens and continued expansion in underlying computing infrastructure.

According to CITIC Securities research, during the 2026 Spring Festival period, domestic large models saw explosive growth in token usage. In the week leading up to February 22, three domestic models ranked among the top globally in token consumption. This surge reflects exponential growth in AI inference demand. Domestic computing power, leveraging cost advantages and improving ecosystems, is expected to gradually dominate the infrastructure layer. The report recommends focusing on revaluation opportunities driven by increased hyper-node interconnection density.

Kaiyuan Securities believes 2026 will be a pivotal year for AI value realization and commercialization. Multimodal models are anticipated to have their "DeepSeek moment," achieving significant capability improvements alongside substantial cost reductions, thereby boosting creative industries such as film, gaming, and advertising.

The Science and Technology Innovation Artificial Intelligence ETF Hua Bao (589520) and its feeder funds (Feeder A: 024560, Feeder C: 024561) concentrate on China's AI industry chain. The portfolio includes leading domestic GPU developers, ASIC specialists, and AI application leaders, with nearly half the weight in semiconductors and over 30% in software. The ETF is also a margin trading标的, serving as an efficient tool for accessing domestic computing power.

Fee structure: The ETF does not charge a sales service fee. Subscription and redemption agents may commission up to 0.5%, including fees charged by exchanges and registration institutions. Intraday trading fees are subject to securities company regulations.

Feeder fund fees: For Class A shares, subscription fees are 1,000 RMB per transaction for amounts over 2 million RMB, 0.6% for 1-2 million RMB, and 1% below 1 million RMB. Redemption fees are 1.5% for holdings under 7 days and 0% thereafter, with no sales service fee. Class C shares have no subscription fee; redemption fees are 1.5% for holdings under 7 days and 0% thereafter, with a 0.3% sales service fee.

Risk disclosure: The ETF tracks the SSE Science and Technology Innovation AI Index (base date: 2022.12.30, published: 2024.7.25). The index gained 12.68% in 2023 and 32.36% in 2024. Constituent stocks are adjusted per index methodology; past performance does not indicate future results. Mentioned stocks are for illustrative purposes only and do not constitute investment advice or reflect fund holdings. The fund manager rates this ETF as R4 (medium-high risk), suitable for aggressive (C4) or higher investors. suitability should be confirmed with sales institutions. All information provided is for reference only; investors are responsible for their decisions. No liability is accepted for direct or indirect losses from using this content. Fund investments carry risks; past performance does not guarantee future results.

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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