On October 19, data element concept stocks traded actively amid rising expectations that a national data group will be officially established, with Taiji Computer hitting the daily limit, State Grid Information & Communication rising more than 8%, China Software gaining over 6%, and Dawning Information Industry Co.,Ltd. (ASX: 603019), which announced a large buyback, climbing more than 4%.
The Big Data ETF (516700), which is deeply tied to domestic computing power (IDC, servers) and AI application sectors, saw its tracking index rise as much as 2.08% during the session before closing up 1.7%.
On the news front, a dense cluster of positive developments has emerged for the big data sector. First, a new central state-owned enterprise being prepared by the State-owned Assets Supervision and Administration Commission, the National Data Group, may be officially listed in the coming days, marking a potentially key step forward in the market-oriented reform of data elements. Second, the Ministry of Commerce and eight other departments issued the Opinions on Accelerating the Promotion of Technology-Driven Commerce, aiming to raise the level of application of new technologies such as AI, big data, and cloud computing. Third, the State Council executive meeting heard a report on the progress of the "AI Plus" initiative and noted that AI is a key variable affecting future development and that efforts should focus on driving technological innovation through deployed applications.
Notably, among the constituent stocks, Dawning Information Industry Co.,Ltd. (ASX: 603019) plans to spend 300 million to 500 million yuan to buy back shares, using real money to boost market confidence. Previously, Dawning Information Industry Co.,Ltd. (ASX: 603019) estimated that it would achieve net profit attributable to shareholders of 1.724 billion yuan in the first three quarters, up 78.48% year on year. The earnings growth was mainly driven by favorable market demand in the domestic computing power sector, rising sales of the company's high-end computers and other IT equipment, and increased sales of high-margin products such as supporting software, which lifted the overall gross margin.
Among constituent stocks, Inspur Information and Unisplendour are expected to post net profit attributable to shareholders growth of up to triple digits year on year. Guotai Haitong Securities believes that the data element institutional framework is gradually forming a closed loop, AI large models and applications are stimulating a data value flywheel, and the release of data element value and industrial blossoming are expected to accelerate in 2026. It recommends paying attention to industry chain segments such as data supply, data trading and circulation, data application development, data services, data security, and computing power and network infrastructure.
In terms of valuation, as of October 18, the price-to-earnings ratio (TTM) of the index tracked by the Big Data ETF (516700) was 70.65 times, below the median of 79.55 and at a relatively low 37.58% percentile since listing, highlighting its medium- to long-term allocation appeal.
Data Security Is Paramount, Technological Self-Reliance Is Essential
The Big Data ETF (516700) passively tracks the CSI Data Index and is deeply tied to domestic computing power (IDC, servers) and AI application sectors. It covers hot concepts such as cloud computing (Dawning Information Industry Co.,Ltd.), IDC computing power leasing (Inspur Information), computing power (Unisplendour), and AI applications (iFlytek), spanning the entire data technology process and involving fields such as big data storage, big data production, big data analysis, big data operations platforms, and big data applications, better reflecting the overall development of China's big data industry.
Source: Shanghai and Shenzhen stock exchanges, etc., as of October 19, 2026. Note: The Big Data ETF (516700) was previously known on the exchange as the Big Data Industry ETF. Institutional view reference source: Guotai Haitong Securities' January 30 report titled "Data Element 'Industry Observation' Series: Institutional Closed Loop Plus AI Catalysis, Welcoming the Data Element 'Value Release Year'." The fund manager assesses the risk level of this fund as R3-medium risk, suitable for balanced investors (C3) and above, and the suitability matching opinion should be subject to the sales institution. ETF fee disclosure: The Big Data ETF does not charge a sales service fee, and subscription and redemption agents may charge a commission of no more than 0.5%, which includes related fees charged by stock exchanges and registration institutions. On-exchange trading fees are subject to what securities companies actually charge. Risk warning: The Big Data ETF passively tracks the CSI Big Data Industry Index, whose base date is December 31, 2012, and which was released on October 18, 2016. The constituent stocks of the index are adjusted in due course according to the index compilation rules, and its back-tested historical performance does not predict the future performance of the index. The index constituent stocks mentioned in this article are for display only, and descriptions of individual stocks do not constitute investment advice in any form, nor do they represent the holdings or trading trends of any fund under the manager. Any information appearing in this article, including but not limited to individual stocks, comments, forecasts, charts, indicators, theories, and any form of expression, is for reference only, and investors must be responsible for any investment decisions they make independently. In addition, any views, analyses, and forecasts in this article do not constitute investment advice in any form to readers and do not assume any responsibility for direct or indirect losses caused by the use of the content of this article. Fund investment involves risks, past performance of a fund does not represent its future performance, and the performance of other funds managed by the fund manager does not constitute a guarantee of fund performance. Fund investment requires caution.
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