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]

Core Viewpoint - The company announced a change in its auditing team for the 2025 financial statements, with a new signing accountant appointed due to internal adjustments at the auditing firm [2]. Group 1: Company Announcement - The company received a notice from Shenzhen Jiuan Accounting Firm regarding the replacement of the signing accountant [2]. - The original signing accountants, Xu Dawei and Li Cheng, will be replaced for the 2025 audit due to internal adjustments at the firm [2]. - Li Zhiyong has been appointed as the new signing accountant alongside Li Cheng for the 2025 audit [2].

Core Viewpoint - Aerospace Hongtu (688066.SH) is expected to report a net profit attributable to shareholders of approximately -1.03 billion yuan for the year 2025, with a net profit of -1.08 billion yuan after deducting non-recurring gains and losses [1] Group 1: Business Impact - The company's client base is primarily concentrated in government, large state-owned enterprises, special sectors, and overseas clients, with new contracts signed in the year declining by approximately 13% compared to the same period last year [1] - Due to pressures from the macroeconomic environment, the company adjusted its strategic planning to only undertake projects with fiscal guarantees, leading to a reduction in orders [1] - The company's revenue from military procurement has significantly decreased from 660 million yuan last year to approximately 50 million yuan, as the company has been unable to participate in related bidding due to a suspension of military procurement qualifications for the past year and a half [1] Group 2: Profit Impact - The company has recognized impairment losses on inventory due to the suspension of military procurement qualifications, which negatively impacted profits as it could not participate in bidding for special sector projects [2] - Credit impairment losses increased during the reporting period as some clients failed to make expected payments, leading to extended account aging [2] - The reduction in business scale has resulted in adjustments to the personnel structure, causing a significant rise in employee severance compensation costs compared to the same period last year [2]

一、可能被实施退市风险警示的原因 经公司财务部门初步测算并与年审会计师沟通，预计 2025 年年度实现归属 于母公司所有者的净利润为-103,000.00 万元左右；预计 2025 年年度实现归属于 母公司所有者扣除非经常性损益后的净利润-108,000.00 万元左右； | 证券代码：688066 | 证券简称：航天宏图 | 公告编号：2026-005 | | --- | --- | --- | | 债券代码：118027 | 债券简称：宏图转债 | | 航天宏图信息技术股份有限公司 关于公司股票可能被实施退市风险警示的第一次风险提示 性公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏，并对其内容的真实性、准确性和完整性依法承担法律责任。 重要内容提示： 根据《上海证券交易所科创板股票上市规则》规定，航天宏图信息技术 股份有限公司（以下简称"公司"）股票可能被上海证券交易所实施退市风险警 示，请广大投资者注意投资风险。 三、其他事项 以上财务数据仅为初步测算并与年审会计师沟通后的数据，公司 2025 年年 度报告的预约披露日期为 2026 年 4 月 30 日，截至本公 ...

二、本次新任签字注册会计师的基本信息及诚信和独立性情况 1、基本信息 | 证券代码：688066 | 证券简称：航天宏图 | 公告编号：2026-006 | | --- | --- | --- | | 债券代码：118027 | 债券简称：宏图转债 | | 航天宏图信息技术股份有限公司 关于变更签字注册会计师的公告 重要内容提示： 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏，并对其内容的真实性、准确性和完整性依法承担法律责任。 航天宏图信息技术股份有限公司（以下简称"公司"）于 2025 年 12 月 9 日召开了第四届董事会第十七次会议，于 2025 年 12 月 25 日召开了 2025 年第六 次临时股东会，审议通过了《关于聘任 2025 年年度会计师事务所的议案》，同 意聘任深圳久安会计师事务所（特殊普通合伙）（以下简称"深圳久安会计师事 务所"）为公司 2025 年度财务报表及内部控制审计机构。具体内容详见公司于 2025 年 12 月 10 日在上海证券交易所网站（www.sse.com.cn）披露的《关于聘任 2025 年年度会计师事务所的公告》（公告编号： ...