Core Viewpoint - The article discusses the emergence of a new era in satellite technology, emphasizing the urgent need for efficient power supply systems for satellites as China prepares to launch a significant number of satellites by the end of 2025 [6][9]. Group 1: Satellite Launch and Development - By the end of 2025, China plans to submit approximately 203,000 satellites to the ITU, covering 14 satellite constellations, with the Radio Innovation Institute applying for two constellations, each with 96,714 satellites, totaling nearly 193,000 satellites [7][8]. - Major operators and commercial satellite companies are also advancing medium-scale constellations, with China Mobile applying for 2,520 satellites, Yuxin Satellite for 1,296, and Guodian Gaoke for 1,132 [8][10]. - As of December 2025, the overall launch completion rate for major domestic constellations remains low, indicating they are in the early stages of network formation [13]. Group 2: Starlink Program and Launch Trends - The Starlink program exhibits a clear generational rhythm, with cumulative launches reaching approximately 11,034 satellites and applications totaling about 41,943 as of January 2026 [2][16]. - The annual launch volume has increased significantly, with projections for 2025 reaching around 3,200 satellites, reflecting a trend of accelerating deployment [15][20]. - Starlink's V1 to V3 satellites utilize crystalline silicon technology to prioritize supply chain scalability and system-level cost reduction, while V4 may adopt P-type silicon HJT or P-type silicon HJT-perovskite tandem structures [3][4]. Group 3: Photovoltaic Technology in Space - The current mainstream technology for space photovoltaic applications in China is multi-junction gallium arsenide (GaAs), although there is ongoing testing and validation of perovskite systems by various companies [4][26]. - The high unit price of GaAs photovoltaic cells is becoming a significant factor limiting system economics, prompting the industry to explore lower-cost alternatives such as silicon-based and perovskite technologies [21][34]. - The article highlights the unique requirements for photovoltaic cells in space, including radiation resistance, thermal stability, and long-term reliability under extreme conditions [22][25]. Group 4: Industry Outlook and Recommendations - The acceleration of satellite launches and the continuous validation of new photovoltaic technologies indicate a rising industry outlook and long-term growth potential for the space photovoltaic sector [5][6]. - The article recommends a "buy" rating for the space photovoltaic industry, citing key companies such as Maiwei Co., Aotewi, and others as relevant investment targets [5][6].

2月5日，航天宏图跌5.1%，截至发稿，报24.20元/股，成交3.38亿元，换手率5.22%，总市值63.23亿 元。航天宏图股价已经连续6天下跌，区间累计跌幅37.77%。 广发招利混合A（015838）基金经理为段涛。 截至发稿，段涛累计任职时间5年265天，现任基金资产总规模21.73亿元，任职期间最佳基金回报 78.08%， 任职期间最差基金回报-45.66%。 声明：市场有风险，投资需谨慎。 本文基于第三方数据库自动发布，不代表新浪财经观点，任何在本 文出现的信息均只作为参考，不构成个人投资建议。如有出入请以实际公告为准。如有疑问，请联系 biz@staff.sina.com.cn。 责任编辑：小浪快报 资料显示，航天宏图信息技术股份有限公司位于北京市海淀区翠湖北环路2号院4号楼一层101，成立日 期2008年1月24日，上市日期2019年7月22日，公司主营业务涉及为政府、企业以及其他有关部门提供基 础软件产品、系统设计开发和数据分析应用服务。主营业务收入构成为：系统设计开发62.01%，数据 分析应用服务37.77%，自有软件销售0.22%。 从基金十大重仓股角度 数据显示，广发基金旗下1只基 ...

截至9月30日，航天宏图股东户数2.04万，较上期增加16.08%；人均流通股12836股，较上期减少 13.85%。2025年1月-9月，航天宏图实现营业收入4.03亿元，同比减少70.06%；归母净利润-3.66亿元， 同比减少65.23%。 分红方面，航天宏图A股上市后累计派现6335.23万元。近三年，累计派现2413.79万元。 2月2日，航天宏图跌20.01%，成交额1.35亿元。两融数据显示，当日航天宏图获融资买入额914.86万 元，融资偿还7083.00万元，融资净买入-6168.14万元。截至2月2日，航天宏图融资融券余额合计6.78亿 元。 融资方面，航天宏图当日融资买入914.86万元。当前融资余额6.77亿元，占流通市值的9.08%，融资余 额超过近一年90%分位水平，处于高位。 融券方面，航天宏图2月2日融券偿还1600.00股，融券卖出0.00股，按当日收盘价计算，卖出金额0.00 元；融券余量2.18万股，融券余额62.26万元，低于近一年40%分位水平，处于较低位。 资料显示，航天宏图信息技术股份有限公司位于北京市海淀区翠湖北环路2号院4号楼一层101，成立日 期2008年1 ...

Performance Highlights - New Yi Sheng (300502.SZ) expects net profit between 9.4 billion and 9.9 billion CNY, a year-on-year increase of 231.24% to 248.86% due to rising demand for high-speed optical modules driven by global computing power investments[4] - Han's Chip (688256.SH) anticipates net profit between 1.85 billion and 2.15 billion CNY, turning from a loss of 450 million CNY last year, benefiting from the growing demand for AI computing power[5] - Zhongji Xuchuang (300308.SZ) projects net profit between 9.8 billion and 11.8 billion CNY, a year-on-year growth of 89.50% to 128.17%, driven by strong customer investment in computing infrastructure[6] - Runze Technology (300442.SZ) expects net profit between 5 billion and 5.3 billion CNY, a year-on-year increase of 179.28% to 196.03%, largely due to non-recurring gains from public REITs issuance[10] Underperformance Highlights - Great Wall Motors (601633.SH) forecasts net profit of 9.912 billion CNY, a year-on-year decline of 21.71% due to increased marketing expenses and competitive pressures[36] - GAC Group (601238.SH) expects a net loss between 8 billion and 9 billion CNY, turning from a profit of 824 million CNY last year, impacted by fierce competition and increased asset impairment provisions[39] - Xiexin Integrated (002506.SZ) anticipates a net loss between 890 million and 1.29 billion CNY, shifting from a profit of 68 million CNY last year due to structural supply-demand issues in the photovoltaic industry[41] - Baile Tianheng (688506.SH) projects a net loss of around 1.1 billion CNY, down from a profit of 3.708 billion CNY last year, primarily due to increased R&D expenses[42] Industry Trends - Technology-driven sectors like AI and innovative pharmaceuticals are leading growth, with companies like New Yi Sheng and Han's Chip benefiting from strong demand and technological advancements[69] - Cost control is becoming a critical competitive advantage, particularly in the energy and manufacturing sectors, as seen with companies like Datang Power (601991.SH) benefiting from lower coal prices[70] - Traditional cyclical industries such as real estate and agriculture are facing significant downward pressure, with companies like Vanke (000002.SZ) and Tianbang Foods (002124.SZ) experiencing substantial losses due to market adjustments[72]

Core Viewpoint - The article highlights the performance forecast of various A-share listed companies, indicating a significant divergence in earnings growth across different sectors, driven by technological advancements, cost control, and industry cycles [4][62]. Group 1: Companies with Strong Earnings Growth - **New Yisheng (300502.SZ)**: Expected net profit of 9.4 billion to 9.9 billion, a year-on-year increase of 231.24% to 248.86%, driven by rising demand for high-speed optical modules due to global computing power investments [6]. - **Han's Laser (688256.SH)**: Expected net profit of 1.85 billion to 2.15 billion, turning from a loss of 0.452 billion in the previous year, benefiting from the increasing demand for AI computing power [8]. - **Zhongji Xuchuang (300308.SZ)**: Expected net profit of 9.8 billion to 11.8 billion, a year-on-year increase of 89.50% to 128.17%, supported by strong investment in computing infrastructure [10]. - **Runze Technology (300442.SZ)**: Expected net profit of 5 billion to 5.3 billion, a year-on-year increase of 179.28% to 196.03%, primarily due to non-recurring gains from public REITs issuance [12]. - **CITIC Securities (601995.SH)**: Expected net profit of 8.542 billion to 10.535 billion, a year-on-year increase of 50% to 85%, driven by steady growth in core business segments [15]. Group 2: Companies with Earnings Below Expectations - **Great Wall Motors (601633.SH)**: Expected net profit of 9.912 billion, a year-on-year decrease of 21.71%, impacted by increased marketing expenses and intense competition [34]. - **GAC Group (601238.SH)**: Expected net profit of -8 billion to -9 billion, turning from a profit of 0.824 billion in the previous year, due to fierce competition and adjustments in product structure [36]. - **GCL-Poly Energy (002506.SZ)**: Expected net profit of -0.89 billion to -1.29 billion, turning from a profit of 0.068 billion, affected by structural supply-demand issues in the photovoltaic industry [38]. - **Boli Tianheng (688506.SH)**: Expected net profit of -1.1 billion, turning from a profit of 3.708 billion, due to increased R&D expenses [39]. - **Daiyue City (000031.SZ)**: Expected net profit of -2.7 billion to -2.1 billion, continuing losses from the previous year, influenced by asset impairment provisions [42]. Group 3: Industry Trends - **Technological Breakthroughs**: Industries driven by technology, such as AI and innovative pharmaceuticals, are showing strong growth, with companies like New Yisheng and Rongchang Bio leading the way [62][63]. - **Cost Control**: The energy and manufacturing sectors are experiencing a clear divide, with companies like Datang Power benefiting from lower coal prices and effective cost management [64]. - **Downward Pressure from Industry Cycles**: The real estate, agriculture, and photovoltaic sectors are under significant pressure, with companies like Vanke and Tianbang Food facing substantial earnings declines [65][66].

Market Overview - The IT services sector experienced a decline of 3.02% on February 2, with Aerospace Hongtu leading the drop [1] - The Shanghai Composite Index closed at 4015.75, down 2.48%, while the Shenzhen Component Index closed at 13824.35, down 2.69% [1] Stock Performance - Notable gainers in the IT services sector included: - Yacon Co., Ltd. (301085) with a closing price of 63.45, up 11.90% on a trading volume of 118,500 shares and a transaction value of 748 million [1] - Jiachuang Video (300264) closed at 6.52, up 4.32% with a trading volume of 289,200 shares and a transaction value of 190 million [1] - Significant decliners included: - Aerospace Hongtu (688066) with a closing price of 28.55, down 20.01% on a trading volume of 47,100 shares and a transaction value of 135 million [2] - Kaipu Cloud (688228) closed at 195.84, down 20.00% with a trading volume of 40,700 shares and a transaction value of 861 million [2] Capital Flow - The IT services sector saw a net outflow of 3.333 billion from institutional investors, while retail investors experienced a net inflow of 2.195 billion [2] - The capital flow for specific stocks showed: - Yacon Co., Ltd. (301085) had a net inflow of 65.7874 million from institutional investors, while retail investors had a net outflow of 21.3519 million [3] - Guangyun Technology (688365) recorded a net inflow of 57.4734 million from institutional investors, with retail investors seeing a net outflow of 10.2 million [3]

Core Viewpoint - Aerospace Hongtu (688066.SH) has experienced a significant drop, with a one-word limit down and a sealing order amounting to 5.29 billion yuan, reflecting investor concerns over its financial outlook for 2025 [1] Financial Performance - The company announced an expected net profit of -1.03 billion yuan for 2025, with a non-recurring net profit of approximately -1.08 billion yuan [1] - The estimated year-end net asset value is projected to be around -280 million yuan [1] Risk of Delisting - Due to the ongoing audit and the uncertainty of the financial data, if the year-end net assets are negative, the company may face a risk warning for delisting after the 2025 annual report is disclosed [1]

Quantitative Models and Construction Methods 1. Model Name: Volume Timing Model - **Model Construction Idea**: The model uses volume-based timing signals to assess market sentiment and provide trading signals[23] - **Model Construction Process**: - The model evaluates the volume timing signals of major broad-based indices - Signals are categorized as "cautious" or "optimistic" based on volume trends - As of January 30, 2026, all major indices (e.g., SSE Composite Index, CSI 300, etc.) showed "cautious" volume timing signals[24] - **Model Evaluation**: The model provides a straightforward approach to gauge market sentiment but may lack granularity in capturing nuanced market dynamics[23][24] 2. Model Name: Momentum Sentiment Indicator - **Model Construction Idea**: This model identifies market sentiment by analyzing the proportion of stocks with positive returns in the CSI 300 Index over a specific period[24] - **Model Construction Process**: - The indicator is calculated as: $ \text{CSI 300 N-day Upward Stock Proportion} = \frac{\text{Number of CSI 300 stocks with positive returns over N days}}{\text{Total number of CSI 300 stocks}} $ - The indicator is smoothed using two moving averages with different window periods (N1 = 50, N2 = 35) to create a "fast line" and a "slow line" - A buy signal is generated when the fast line exceeds the slow line, and a neutral signal is generated when the fast line falls below the slow line[26][28] - **Model Evaluation**: The indicator is effective in capturing upward market opportunities but may fail to predict downturns accurately. It also tends to miss gains during prolonged market exuberance[25] 3. Model Name: Moving Average Sentiment Indicator - **Model Construction Idea**: This model uses an eight-moving-average system to assess the trend state of the CSI 300 Index and generate trading signals[32] - **Model Construction Process**: - Calculate the eight moving averages of the CSI 300 Index closing price with parameters: 8, 13, 21, 34, 55, 89, 144, and 233 - Assign values to the indicator based on the number of moving averages the current price exceeds: - If the price exceeds more than five moving averages, the sentiment is bullish - Generate a buy signal when the current price exceeds five moving averages[36] - **Model Evaluation**: The model provides a clear framework for trend analysis but may oversimplify complex market dynamics[36] --- Model Backtesting Results 1. Volume Timing Model - All major indices (e.g., SSE Composite Index, CSI 300, CSI 500, etc.) showed "cautious" volume timing signals as of January 30, 2026[24] 2. Momentum Sentiment Indicator - The CSI 300 N-day upward stock proportion indicator was above 60% as of January 30, 2026, indicating high market sentiment[25] - The fast line was above the slow line, suggesting a bullish outlook for the CSI 300 Index[26] 3. Moving Average Sentiment Indicator - The CSI 300 Index was in a "sentiment prosperity zone" as of January 30, 2026, indicating a bullish sentiment[36] --- Quantitative Factors and Construction Methods 1. Factor Name: Cross-sectional Volatility - **Factor Construction Idea**: Measures the dispersion of returns among index constituents to assess the Alpha environment[37] - **Factor Construction Process**: - Calculate the cross-sectional volatility of index constituents (e.g., CSI 300, CSI 500, CSI 1000) - Compare the recent quarter's average volatility to historical percentiles to evaluate the Alpha environment[38] - **Factor Evaluation**: The factor effectively captures short-term Alpha opportunities but may not fully reflect long-term trends[37] 2. Factor Name: Time-series Volatility - **Factor Construction Idea**: Measures the volatility of index constituents over time to assess the Alpha environment[38] - **Factor Construction Process**: - Calculate the time-series volatility of index constituents (e.g., CSI 300, CSI 500, CSI 1000) - Compare the recent quarter's average volatility to historical percentiles to evaluate the Alpha environment[41] - **Factor Evaluation**: The factor provides insights into market stability but may be less effective in highly volatile markets[38] --- Factor Backtesting Results 1. Cross-sectional Volatility - CSI 300: Recent quarter average volatility at 2.14%, in the 69.55th percentile of the past two years[38] - CSI 500: Recent quarter average volatility at 2.45%, in the 50.79th percentile of the past two years[38] - CSI 1000: Recent quarter average volatility at 2.61%, in the 66.93rd percentile of the past two years[38] 2. Time-series Volatility - CSI 300: Recent quarter average volatility at 0.96%, in the 57.20th percentile of the past two years[41] - CSI 500: Recent quarter average volatility at 1.22%, in the 50.79th percentile of the past two years[41] - CSI 1000: Recent quarter average volatility at 1.17%, in the 64.94th percentile of the past two years[41]

Group 1 - The Shanghai Stock Exchange issued a regulatory work letter regarding the performance forecast of Aerospace Hongtu Information Technology Co., Ltd. [1]

Core Viewpoint - The company, Aerospace Hongtu (688066.SH), has announced an expected net loss of approximately 1.03 billion yuan for the fiscal year 2025 attributable to the parent company's shareholders [1] Group 1 - The projected net loss for 2025 is around 1.03 billion yuan [1]