Core Insights - The Shanghai Stock Exchange Sci-Tech Innovation Board Artificial Intelligence Index (950180) has shown a positive performance, with a 0.97% increase as of April 11, 2025, and notable gains in constituent stocks such as Chipsea Technology (688595) up 8.19% and Lanqi Technology (688008) up 5.29% [3][4]. Performance Summary - The Sci-Tech AI ETF (588790) has experienced a 0.91% increase, marking its fourth consecutive rise, with a latest price of 0.55 yuan. Over the past three months, the ETF has accumulated a 7.70% increase, ranking 2nd among comparable funds [3][4]. - The ETF's liquidity is strong, with an intra-day turnover of 4.12% and a total transaction volume of 1.08 billion yuan. The average daily transaction volume over the past week is 3.94 billion yuan, leading among comparable funds [3][4]. - In terms of scale, the ETF has seen a significant growth of 26.96 million yuan over the past two weeks, ranking 1st among comparable funds. Additionally, the ETF's share count increased by 36 million shares in the past week, also ranking 1st [3][4]. Return and Risk Metrics - Since its inception, the Sci-Tech AI ETF has achieved a highest monthly return of 15.59%, with an average monthly return of 15.59% and a monthly profit probability of 69.57%. The probability of making a profit over a three-month holding period is 87.50% [4]. - The ETF has a relative drawdown of 0.36% compared to its benchmark since inception, indicating a relatively stable performance [4]. Fee Structure and Tracking Accuracy - The management fee for the Sci-Tech AI ETF is 0.50%, and the custody fee is 0.10%, which are among the lowest in its category [4]. - The ETF has demonstrated high tracking accuracy, with a tracking error of 0.010% over the past month, the best among comparable funds [4]. Top Holdings - As of March 31, 2025, the top ten weighted stocks in the Sci-Tech AI Index account for 70.57% of the index, including Lanqi Technology (688008) and Chipsea Technology (688521) [5][7]. Industry Insights - The semiconductor and AI sectors are expected to accelerate their domestic production processes due to ongoing global trade tensions. Key areas of focus include advancements in semiconductor technology and the growth of domestic AI models [7].