（原标题：协创数据(300857.SZ)：公司直接出口美国的产品收入占比较小） 格隆汇10月13日丨协创数据(300857.SZ)在投资者互动平台表示，公司目前出口至美国货物主要通过公 司的菲律宾工厂、美国工厂、泰国工厂等海外智能制造工厂进行交付，未来也会持续通过美国工厂产能 建设以贯彻公司国际化战略。同时公司直接出口美国的产品收入占比较小，综合来看公司受相关关税政 策调整的影响相对有限。公司一直密切关注相关政策动态，并及时评估政策变化对公司业务的影响。目 前公司生产经营情况正常，业务亦正按计划有序推进中。 ...

Core Viewpoint - The company has a global and resilient supply chain that effectively addresses potential risks and challenges, with limited direct exports to the U.S. and a focus on internationalization through capacity building in U.S. factories [1] Group 1 - The company exports goods to the U.S. primarily through its overseas smart manufacturing plants located in the Philippines, the U.S., and Thailand [1] - Direct product revenue from exports to the U.S. is relatively small, indicating a strategic focus on enhancing production capacity in the U.S. [1] - The company is closely monitoring changes in the global trade environment, which has not significantly impacted its production and operations [1]

Core Viewpoint - The company, Xiechuang Data, has made significant progress in its industrial layout, particularly in the storage business, which has led to a substantial increase in stock price and steady growth in operating performance [1][4][7]. Group 1: Industrial Layout and Performance - Xiechuang Data has established a full-chain industrial layout from storage chip testing to storage module assembly, with multiple types of storage products achieving mass shipments [1][5]. - Since its listing in 2020, the company has experienced continuous growth in revenue and net profit, with a net profit of 432 million yuan in the first half of 2025, surpassing the total for 2022 and 2023 combined [1][8]. - The company has accelerated its internationalization strategy, planning a Hong Kong IPO to optimize overseas business layout and enhance foreign financing capabilities [1][9]. Group 2: Stock Performance - Despite a recent decline in stock price, Xiechuang Data's stock has doubled in the past two months, with a price increase of 121.62% from 76.89 yuan on August 8, 2025, to 170.40 yuan on October 10, 2025 [2][3]. - The stock price has increased nearly 25 times since its initial offering price of 9.3 yuan, reflecting strong market performance [2][3][4]. Group 3: Revenue Growth and International Market - The company's overseas revenue accounted for 48.32% of total revenue in the first half of 2025, with a year-on-year growth of 41.71%, indicating a stable development in international markets [1][9]. - Xiechuang Data has invested in factories in Southeast Asia and has established a presence in regions such as the Philippines, Thailand, and the United States, contributing significantly to its revenue [9].

Core Viewpoint - The company is actively deploying its recently purchased 9 billion yuan worth of computing servers and is experiencing strong demand for its computing services, indicating no issues with service oversupply or contract defaults [2]. Group 1 - The company has purchased computing servers worth 9 billion yuan, which are being delivered and deployed as planned [2]. - The company is procuring servers based on existing customer orders, reflecting a robust demand for its computing services [2]. - There are no concerns regarding service oversupply or defaults on contracts, as stated by the company [2].

协创数据在互动平台表示，公司的存储业务布局了从存储芯片封测到存储模组成品的全链条产业，目前 多种类型的存储产品已实现批量出货。 ...

Core Viewpoint - The company has established a comprehensive storage business that spans from storage chip packaging and testing to the production of storage module components, with multiple types of storage products already achieving mass shipments [1] Group 1 - The company's storage business covers the entire industry chain [1] - Various types of storage products have been successfully shipped in bulk [1]

Quantitative Models and Construction Methods 1. **Model Name**: Securities Firms' Golden Stock Performance Enhancement Portfolio - **Model Construction Idea**: The model aims to optimize the selection of stocks from the securities firms' golden stock pool to outperform the benchmark, which is the median of equity-biased hybrid fund indices. The model leverages a multi-factor approach to select stocks with high alpha potential while controlling for deviations in individual stocks and style factors from the golden stock pool [39][43]. - **Model Construction Process**: - The securities firms' golden stock pool is used as the stock selection universe and constraint benchmark. - A multi-factor model is applied to further optimize the selection of stocks from the pool. - The portfolio is constructed by controlling the deviation of individual stocks and style factors from the golden stock pool. - The industry allocation is based on the distribution of all public funds [43]. - **Model Evaluation**: The model demonstrates strong alpha generation potential and consistently outperforms the equity-biased hybrid fund index. It reflects the research strength of securities firms and their ability to capture market trends effectively [43]. --- Model Backtesting Results 1. **Securities Firms' Golden Stock Performance Enhancement Portfolio** - **Absolute Return (Monthly)**: -0.55% (2025/09/01 - 2025/09/30) [42] - **Excess Return (Monthly)**: -3.50% relative to equity-biased hybrid fund index (2025/09/01 - 2025/09/30) [42] - **Absolute Return (Year-to-Date)**: 33.26% (2025/01/02 - 2025/09/30) [42] - **Excess Return (Year-to-Date)**: 1.19% relative to equity-biased hybrid fund index (2025/01/02 - 2025/09/30) [42] - **Ranking in Active Equity Funds (Year-to-Date)**: 43.07% percentile (1494/3469) [42] - **Historical Performance (2018-2025)**: - Annualized Return: 19.34% - Annualized Excess Return: 14.38% relative to equity-biased hybrid fund index - Consistently ranked in the top 30% of active equity funds each year [44][47] --- Quantitative Factors and Construction Methods 1. **Factor Name**: Intraday Return - **Factor Construction Idea**: Measures the return generated within a single trading day to capture short-term price movements [27][28]. - **Factor Evaluation**: Demonstrated strong performance in the most recent month [27][28]. 2. **Factor Name**: BP (Book-to-Price Ratio) - **Factor Construction Idea**: Reflects the valuation of a stock by comparing its book value to its market price [27][28]. - **Factor Evaluation**: Performed well in the most recent month but underperformed year-to-date [27][28]. 3. **Factor Name**: Volatility - **Factor Construction Idea**: Measures the degree of variation in a stock's price over a specific period, capturing risk and uncertainty [27][28]. - **Factor Evaluation**: Showed strong performance in the most recent month but underperformed year-to-date [27][28]. 4. **Factor Name**: Total Market Capitalization - **Factor Construction Idea**: Represents the total market value of a company's outstanding shares, often used to gauge company size [27][28]. - **Factor Evaluation**: Underperformed in the most recent month but performed well year-to-date [27][28]. 5. **Factor Name**: SUE (Standardized Unexpected Earnings) - **Factor Construction Idea**: Measures the deviation of actual earnings from expected earnings, standardized by the standard deviation of past earnings surprises [27][28]. - **Factor Evaluation**: Underperformed in the most recent month [27][28]. 6. **Factor Name**: Single-Quarter Earnings Surprise - **Factor Construction Idea**: Captures the magnitude of earnings surprises in a single quarter [27][28]. - **Factor Evaluation**: Underperformed in the most recent month but performed well year-to-date [27][28]. 7. **Factor Name**: Single-Quarter Revenue Growth - **Factor Construction Idea**: Measures the growth in revenue over a single quarter, reflecting a company's sales performance [27][28]. - **Factor Evaluation**: Performed well year-to-date [27][28]. 8. **Factor Name**: Analyst Net Upward Revision - **Factor Construction Idea**: Tracks the net number of upward revisions in analysts' earnings estimates for a stock [27][28]. - **Factor Evaluation**: Performed well year-to-date [27][28]. 9. **Factor Name**: Expected Dividend Yield - **Factor Construction Idea**: Represents the expected annual dividend payments as a percentage of the stock price [27][28]. - **Factor Evaluation**: Underperformed year-to-date [27][28]. --- Factors' Backtesting Results 1. **Intraday Return Factor** - **Recent Month Performance**: Strong [27][28] - **Year-to-Date Performance**: Not specified [27][28] 2. **BP Factor** - **Recent Month Performance**: Strong [27][28] - **Year-to-Date Performance**: Weak [27][28] 3. **Volatility Factor** - **Recent Month Performance**: Strong [27][28] - **Year-to-Date Performance**: Weak [27][28] 4. **Total Market Capitalization Factor** - **Recent Month Performance**: Weak [27][28] - **Year-to-Date Performance**: Strong [27][28] 5. **SUE Factor** - **Recent Month Performance**: Weak [27][28] - **Year-to-Date Performance**: Not specified [27][28] 6. **Single-Quarter Earnings Surprise Factor** - **Recent Month Performance**: Weak [27][28] - **Year-to-Date Performance**: Strong [27][28] 7. **Single-Quarter Revenue Growth Factor** - **Recent Month Performance**: Not specified [27][28] - **Year-to-Date Performance**: Strong [27][28] 8. **Analyst Net Upward Revision Factor** - **Recent Month Performance**: Not specified [27][28] - **Year-to-Date Performance**: Strong [27][28] 9. **Expected Dividend Yield Factor** - **Recent Month Performance**: Not specified [27][28] - **Year-to-Date Performance**: Weak [27][28]

Group 1 - The "Second Golden Unicorn Best Investment Advisor Selection" event is currently ongoing, with over 3,000 professional investment advisors participating in simulated trading competitions [1] - The event aims to provide a platform for investment advisors to showcase their capabilities, expand services, and enhance skills, thereby promoting the healthy development of China's wealth management industry [1] Group 2 - On October 9, the top ten stocks by purchase frequency in the stock group included companies such as Xiechuang Data (sz300857) and Lankai Technology (sh688008) [2] - The top ten stocks by purchase amount on the same day featured companies like SMIC (sh688981) and Lankai Technology (sh688008) [3] - The data for the top ten buy stocks/ETFs is based on the frequency of purchases by all participating contestants, while the top ten by purchase amount reflects the highest monetary investments [4]

========= - The "券商金股业绩增强组合" (Broker Gold Stock Performance Enhanced Portfolio) aims to outperform the median of public funds by optimizing the broker gold stock pool[39] - The portfolio uses the偏股混合型基金指数 (Equity-biased Hybrid Fund Index) as its benchmark, with a 90% position last month[39] - The absolute return of the portfolio for the month (2050901-20250930) was -0.55%, with an excess return of -3.50% relative to the偏股混合型基金指数[42] - The absolute return for the year (20250102-20250930) was 33.26%, with an excess return of 1.19% relative to the偏股混合型基金指数[42] - The portfolio ranked in the 43.07% percentile among active equity funds this year (1494/3469)[42] - The annualized return of the portfolio from 2018.1.2 to 2025.6.30 was 19.34%, with an annualized excess return of 14.38% relative to the偏股混合型基金指数[44] - The portfolio consistently ranked in the top 30% of active equity funds each year from 2018 to 2025[44] - The portfolio's performance statistics for each year from 2018 to 2025 are detailed in Table 6[47] - The portfolio's historical performance is illustrated in Figure 12[46] =========

Core Viewpoint - The company emphasizes its commitment to open collaboration and aims to build a synergistic industrial ecosystem in the field of Physical AI [1] Group 1 - The company is open to partnerships with various enterprises that possess complementary advantages [1] - The company plans to actively seize market opportunities to empower global Physical AI developers and enterprises [1] - The focus is on promoting technological innovation and practical applications in the industry [1]