星宸科技跌1.20%，成交额4.50亿元，今日主力净流入-4027.65万

Core Viewpoint - Starshine Technology's stock experienced a decline of 1.20% on December 23, with a trading volume of 450 million yuan and a market capitalization of 25.64 billion yuan [1] Group 1: Company Overview - Starshine Technology Co., Ltd. is located in Xiamen, Fujian Province, and specializes in the design, research, and sales of edge AI SoC chips, with main products including smart security, IoT, automotive electronics, and other ICs [3][7] - The company was established on December 21, 2017, and went public on March 28, 2024, with 99.93% of its revenue coming from product sales [7] - As of December 10, the number of shareholders reached 33,800, an increase of 10.49%, while the average number of circulating shares per person decreased by 9.50% [7] Group 2: Financial Performance - For the period from January to September 2025, Starshine Technology achieved operating revenue of 2.166 billion yuan, representing a year-on-year growth of 19.50%, and a net profit attributable to shareholders of 202 million yuan, up 3.03% year-on-year [7] - The company has distributed a total of 126 million yuan in dividends since its A-share listing [8] Group 3: Market Activity - The main net inflow of funds today was -40.2765 million yuan, with a proportion of 0.09%, indicating a reduction in main funds over the past two days [4][5] - The average trading cost of the stock is 60.05 yuan, with the current price fluctuating between a resistance level of 62.78 yuan and a support level of 56.87 yuan, suggesting potential for short-term trading [6] Group 4: Strategic Developments - The company has developed chips suitable for AI glasses and has begun shipping to end customers, while also engaging with various clients including mobile brands and startups [2] - Starshine Technology has invested 10 million yuan in Nanjing Starting Line Wearable Electronics Co., Ltd., acquiring a 4% stake, focusing on ultra-low power consumption chips for the smart wearable sector [2] - The company is enhancing its AI processor IP capabilities through a new project, aiming to improve processing power and algorithm efficiency for diverse customer applications [3]