AI+Manufacturing Policy Empowers, GF Sci-Tech Innovation AI ETF (588760) Rises 0.46% Intraday

NewTimeSpace News, as of 14:17 on January 22, 2026, the SSE Sci-Tech Innovation Board AI Index (950180) rose 0.53%. Component stocks performed strongly: UCloud Technology rose 11.16%, Tianzhun Technology climbed 7.11%, Qi'anxin Technology increased by 4.44%, Montage Technology gained 4.17%, and Kingsoft Office rose 2.99%. The GF Sci-Tech Innovation AI ETF (588760) rose 0.46% to a latest price of 0.87 yuan. Over a longer period, as of January 21, 2026, the ETF has accumulated a 9.64% increase in the past two weeks, ranking 1st among 10 comparable funds. (The stocks listed above are only index components and do not constitute specific investment recommendations.)

In terms of liquidity, the ETF recorded an intraday turnover rate of 7.47% with a trading volume of 189 million yuan. Looking back, as of January 21, its average daily trading volume in the past month was 285 million yuan, ranking top 2 among comparable funds.

Regarding scale, the ETF’s scale has increased by 1.141 billion yuan in the past six months, achieving significant growth, with the new scale ranking 3rd among 10 comparable funds. (Data source: Wind)

In terms of shares, the ETF’s shares have grown by 438 million units in the past six months, realizing remarkable growth, with the new shares ranking 3rd among 10 comparable funds. (Data source: Wind)

Data shows that leveraged funds have been continuously increasing positions. The ETF’s latest margin purchase amount was 9.3639 million yuan, and the outstanding margin balance stood at 107 million yuan. (Data source: Wind)

As of January 21, the ETF’s net value has surged 71.85% in the past year, ranking 1st among comparable funds and 253rd among 3,462 index equity funds (top 7.31%). In terms of profitability, as of January 21, 2026, since its establishment, the ETF has achieved a maximum monthly return of 35.29%, the longest consecutive monthly gain period of 4 months with a cumulative increase of 56.27%, a ratio of rising to falling months of 6:5, an average return of 11.41% in rising months, and a 100.00% probability of profit when held for 1 year historically. Additionally, its annualized excess return over the benchmark in the past year was 4.98%, ranking 1st among 4 comparable funds.

As of January 16, 2026, the ETF’s Sharpe ratio since its establishment was 1.74.

In terms of drawdown, as of January 21, 2026, the ETF’s maximum drawdown since the start of the year was 4.74%, with a relative drawdown against the benchmark of 0.02%, the smallest among comparable funds.

Regarding fees, the ETF’s management fee rate is 0.50% and the custodian fee rate is 0.10%.

In terms of tracking accuracy, as of January 21, 2026, the ETF’s tracking error since the start of the year was 0.006%, showing high tracking accuracy among comparable funds.

The GF Sci-Tech Innovation AI ETF closely tracks the SSE Sci-Tech Innovation Board AI Index, which selects 30 large-cap listed company securities from the Sci-Tech Innovation Board (STAR Market) that provide basic resources, technologies, and application support for artificial intelligence as index samples, aiming to reflect the overall performance of representative AI industry listed securities on the STAR Market.

Data shows that as of December 31, 2025, the top ten constituent stocks of the SSE Sci-Tech Innovation Board AI Index (950180) by weight were: Kingsoft Office, Montage Technology, Cambricon Technologies, VeriSilicon Holdings, Roborock Technology, Amlogic, Fudan Microelectronics, BES Semiconductor, China Electronics Technology Group Star Map Information Technology, and CloudWalk Technology. The combined weight of these top ten stocks accounted for 67.08%. (The stocks listed above are only index components and do not constitute specific investment recommendations.)

SHANXI SECURITIES stated that on January 7, relevant departments jointly issued the "Implementation Opinions on the 'Artificial Intelligence + Manufacturing' Special Action", proposing the overall goal that by 2027, China’s key core AI technologies will achieve safe and reliable supply, and the industrial scale and empowerment level will rank among the world’s leading positions. The goals include promoting the in-depth application of 3-5 general-purpose large models in the manufacturing industry, building 100 high-quality datasets in the industrial field, popularizing 500 typical application scenarios, and cultivating 2-3 globally influential ecosystem-leading enterprises and a number of specialized, refined, characteristic, and innovative small and medium-sized enterprises.

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