As of 10:58 on February 18, 2025, the CSI Semiconductor Materials and Equipment Theme Index (931743) rose 1.45% strongly, the constituent stocks Xinyuan Micro (688037) rose 6.95%, Zhongke Feishi (688361) rose 4.62%, Jiangfeng Electronics (300666) rose 3.60%, Anji Technology (688019), Huahai Qingke (688120) and other stocks followed suit. Semiconductor materials ETF (562590) rose 1.47%, the latest price was reported at 1.11 yuan, and the intraday turnover has reached 18.1497 million yuan, temporarily ranking 2/5 of comparable ETFs, with a turnover rate of 4.65%.

In the long run, as of February 17, 2025, the semiconductor materials ETF has risen by 5.72% in the past two weeks.

In terms of scale, the scale of semiconductor materials ETF has increased by 16.4569 million yuan in the past week, achieving significant growth, and the new scale ranks 1/5 of comparable funds.

In terms of shares, the share of semiconductor materials ETF has increased by 11 million shares in the past 1 week, achieving significant growth, and the new share ranks 1/5 of comparable funds.

In terms of fund inflow, the latest net outflow of semiconductor materials ETF was 6.5281 million yuan. In the long run, there have been 3 net inflows of funds in the past five trading days, with a total of 15.1208 million yuan and an average daily net inflow of 3.0242 million yuan.

In terms of absolute return, as of February 17, 2025, since its inception, the highest monthly return of semiconductor materials ETF is 20.35%, the longest consecutive rise is 3 months, the longest streak is 43.67%, the average return of the rising month is 10.91%, the annual profit percentage is 100.00%, and the historical holding 1-year profit probability is 95.40%.

In terms of excess returns, as of February 17, 2025, the annualized return of semiconductor materials ETFs over the benchmark in the past three months is 1.06%, ranking in the top 2/5 of comparable funds.

As of February 14, 2025, the Sharpe ratio of semiconductor materials ETF over the past 1 year is 1.21.

In terms of drawdown, as of February 17, 2025, the semiconductor materials ETF has the largest drawdown of 3.15% this year, which is 0.06% relative to the benchmark, and the smallest drawdown among comparable funds.

In terms of fees, the management fee of the semiconductor materials ETF is 0.50%, and the custody fee is 0.10%, which is the lowest among comparable funds.

In terms of tracking accuracy, as of February 17, 2025, the tracking error of semiconductor material ETF in the past three months is 0.025%, which is higher in tracking accuracy among comparable funds.

The

Semiconductor Materials ETF closely tracks the CSI Semiconductor Materials and Equipment Thematic Index, which selects 40 securities of listed companies whose business involves semiconductor materials and semiconductor equipment as the index sample, reflecting the overall performance of the securities of listed companies in semiconductor materials and equipment.

According to the data, as of January 27, 2025, the top ten weighted stocks of the CSI Semiconductor Materials and Equipment Theme Index (931743) are North Huachuang (002371), China Micro Corporation (688012), Shanghai Silicon Industry (688126), Huahai Qingke (688120), Nanda Optoelectronics (300346), Tuojing Technology (688072), Changchuan Technology (300604), TCL Technology (000100), Zhongke Feice ( 688361), Jacques Technology (002409), the top ten weighted stocks accounted for 61.77%.

On the news side, DeepSeek has quickly gained attention around the world since its launch, and as a large domestic AI model, many domestic GPU manufacturers have announced that they have completed the adaptation to it.

Guosen Securities believes that through the adaptation of domestic large models such as DeepSeek, the ability of domestic full-featured GPUs to support complex AI tasks will be verified and optimized, which will contribute to the full development of domestic AI, or pay attention to related semiconductor companies.

Soochow Securities believes that it may be able to pay attention to the inference demand brought by DeepSeek's promotion of AI applications, which is good for domestic equipment. As AI shifts from model research and development to large-scale application, the focus of computing power demand has shifted from training to inference, which is beneficial to the domestic supply chain. The domestic 12nm process platform has a cost-effective advantage in the field of inference cards. Specifically, you may be able to focus on related companies in the field of advanced packaging, back-end packaging and testing, and front-end processes.

Semiconductor Materials ETF (562590), OTC Connect (ChinaAMC CSI Semiconductor Materials & Equipment Theme ETF Initiator Connect A: 020356; ChinaAMC CSI Semiconductor Materials & Equipment Theme ETF Initiator Connect C: 020357).