Market Overview - On July 16, the Shanghai Composite Index fell by 0.03%, with institutional investors appearing on the trading lists of 25 stocks, net buying 11 and net selling 14 [1][2] - The total net selling amount by institutional investors reached 1.015 billion yuan [1] Institutional Trading Activity - The stock with the highest net buying by institutional investors was Huahong Technology, which closed at the daily limit with a trading volume of 1.919 billion yuan and a turnover rate of 27.83%. The net buying amount was 112.81 million yuan [2][5] - Other notable stocks included Beifang Changlong, which rose by 6.59% with a turnover rate of 42.00% and a net buying amount of 70.49 million yuan [2][5] Performance of Net Bought Stocks - Stocks that were net bought by institutions saw an average increase of 5.35%, outperforming the Shanghai Composite Index. Stocks like Jujie Microfiber and Degute achieved daily limit increases [3] - Historical data indicates that stocks net bought by institutions have a 50.17% probability of rising the next day, with a 37.46% probability of increasing over the next three days [3] Earnings Forecasts - Among the stocks net bought by institutions, four have released half-year earnings forecasts, with Huahong Technology expected to see a net profit increase of 3384.71% [3] Net Sold Stocks - The stock with the highest net selling was C Huaxin, with a net selling amount of 999.70 million yuan. This stock had a significant net inflow of 3.172 billion yuan [3][6] - Annie Shares also saw substantial net selling, amounting to 247.11 million yuan, with a net outflow of 117 million yuan [3][6] Deep and Hong Kong Stock Connect Activity - On July 16, 12 stocks on the trading list had participation from the Shenzhen and Shanghai Stock Connect, with net buying in stocks like Hengbao Co. and Dawi Technology [7][8] - Hengbao Co. had a net buying amount of 160.75 million yuan, while stocks like Zhongdian Port and Qianhong Pharmaceutical experienced net selling [7][9]

公司股票交易连续 2 个交易日内（2025 年 7 月 15 日、7 月 16 日）日收盘价 格涨幅偏离值累计超过 20%。根据《上海证券交易所交易规则》的有关规定，属 于股票交易异常波动。 证券代码：600826 股票简称：兰生股份 公告编号：临 2025-022 东浩兰生会展集团股份有限公司 股票交易异常波动暨风险提示公告 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、准确性和完整性承担法律责任。 重要内容提示： 一、公司股票交易异常波动的具体情况 1 东浩兰生会展集团股份有限公司（以下简称"公司"）股票连续 2 个交易 日（2025 年 7 月 15 日、7 月 16 日）收盘价格涨幅偏离值累计超过 20%。 根据《上海证券交易所交易规则》的有关规定，属于股票交易异常波动的 情况。 公司股票已连续 4 个交易日（2025 年 7 月 11 日、7 月 14 日、7 月 15 日、 7 月 16 日）涨停，股价剔除大盘和板块整体因素后的实际波动幅度较大。 公司股票连续 3 个交易日（2025 年 7 月 10 日、7 月 11 日、7 月 14 日） ...

Market Overview - The Shanghai Composite Index fell by 0.03% on July 16, with 14 sectors experiencing gains, led by the social services and automotive sectors, which rose by 1.13% and 1.07% respectively. The social services sector topped the gainers list [1] - The steel and banking sectors saw the largest declines, with drops of 1.28% and 0.74% respectively [1] - Overall, there was a net outflow of 14.265 billion yuan in the main funds across the two markets, with 12 sectors seeing net inflows [1] Sector Performance - The social services sector had a net inflow of 390 million yuan, with 60 out of 77 stocks in the sector rising, including one hitting the daily limit [2] - The top three stocks in terms of net inflow within the social services sector were: - Dou Shen Education: 276 million yuan - Ke Rui International: 75.45 million yuan - Lan Sheng Co.: 38.09 million yuan [2] - The sectors with the largest net outflows included telecommunications, which saw a net outflow of 4.019 billion yuan, and electronics, with a net outflow of 3.559 billion yuan [1] Individual Stock Highlights - Dou Shen Education led the social services sector with a daily increase of 4.80% and a turnover rate of 13.71% [2] - Other notable performers included: - Ke Rui International: increased by 14.36% with a turnover rate of 9.75% - Lan Sheng Co.: increased by 10.02% with a turnover rate of 1.24% [2] - Stocks with significant net outflows included: - Zhonggang Tianyuan: net outflow of 22.99 million yuan - ST Zhangjiajie: net outflow of 19.76 million yuan - Songcheng Performing Arts: net outflow of 19.67 million yuan [2][4]

Core Viewpoint - The market is currently experiencing structural opportunities, particularly with a "seesaw" phenomenon between technology stocks and high-dividend assets, as technology stocks strengthen while bank sector high-dividend assets undergo a correction [1]. Group 1: Technology Stocks and AI - Technology stocks, especially in the AI sector, have shown significant strength, with hardware and application segments both rising, leading to a boost in the TMT (Technology, Media, and Telecommunications) sector [1]. - Notable stocks in the AI sector include New Yi Sheng (300502), which rose by 11.69%, and Zhong Ji Xu Chuang (300308), which increased by 1.54%, with trading volumes of 130 billion and 101.7 billion respectively, ranking first and second in A-shares [1]. - The human-shaped robot and innovative drug sectors are also experiencing a rebound, with stocks like Wang Wei New Material and Rong Tai Co. seeing significant gains [1]. Group 2: Human-shaped Robots - The human-shaped robot sector has rebounded significantly, positively impacting the overall market, with multiple related sectors such as PEEK materials, motors, automotive parts, and industrial mother machines also rising [4]. - Key stocks in this sector include Rong Tai Co. (605133) and Zhejiang Rong Tai (603119), both hitting the daily limit up with increases of 10.01% and 10.00% respectively [6][5]. - The industry is in a relatively early stage, with expectations for broader applications in service, household, industrial, and rescue scenarios over the next 3 to 5 years, despite facing challenges in large-scale application [8]. Group 3: New Consumption Trends - The new consumption sectors, including the "Guzi Economy," pet economy, and beauty care, have collectively risen, indicating a rebound in consumer spending [10]. - In the "Guzi Economy," stocks like Tian Di Online and Hengdian Film & Television hit the daily limit up, reflecting strong market interest [10]. - The pet economy is also thriving, with Lan Sheng Co. hitting the daily limit up, supported by a growing pet ownership trend in urban areas, projected to reach 120 million pets by 2024 [14]. Group 4: Market Dynamics - The overall market is characterized by index fluctuations while individual stocks are performing strongly, particularly in AI, human-shaped robots, and innovative drugs [1]. - The market sentiment is shifting towards higher risk appetite, driven by the performance of technology stocks and emerging sectors [1].

证券代码：600826 股票简称：兰生股份 公告编号：临 2025-021 公司业务涵盖展会组织、体育赛事、展馆运营、会展全产业链服务等。目前 公司生产经营情况正常，日常经营情况及外部经营环境均未发生重大变化。 1 东浩兰生会展集团股份有限公司 股票交易风险提示公告 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、准确性和完整性承担法律责任。 重要内容提示： 一、二级市场交易风险 公司股票连续 3 个交易日（2025 年 7 月 10 日、7 月 11 日、7 月 14 日）收 盘价格涨幅偏离值累计超过 20%。根据《上海证券交易所交易规则》的有关规定， 属于股票交易异常波动。2025 年 7 月 15 日，公司当日股票再次以涨停价收盘。 公司股票剔除大盘和板块整体影响后的实际波动幅度较大。 鉴于近期公司股票价格波动较大，存在公司股票短期上涨过快可能出现的下 跌风险。 二、公司生产经营情况未发生重大变化 东浩兰生会展集团股份有限公司董事会 2025 年 7 月 16 日 东浩兰生会展集团股份有限公司（以下简称"公司"）股票连续 3 个交易 日（2025 年 ...

Core Viewpoint - The stock price of Donghao Lansheng Exhibition Group Co., Ltd. has experienced an abnormal fluctuation, with a cumulative closing price increase exceeding 20% over three consecutive trading days (July 10, July 11, and July 14, 2025) [1][2] Group 1: Stock Price Abnormal Fluctuation - The company's stock price has deviated significantly, with a cumulative increase of over 20% in closing prices over three trading days [1] - This situation is classified as an abnormal fluctuation according to the Shanghai Stock Exchange trading rules [1] Group 2: Company Operations and Major Events - The company has confirmed that its production and operational conditions are normal, with no significant changes in daily operations or external business environment [2] - There are no undisclosed major events or transactions involving the company, including asset restructuring, share issuance, or significant business collaborations [2] - No media reports or market rumors have been identified that could significantly impact the company's stock price [2] Group 3: Insider Trading and Sensitive Information - During the period of stock price fluctuation, there were no stock trades by the company's directors, supervisors, senior management, or controlling shareholders [2] - The company has not discovered any other significant events that could impact its stock price [2]

证券代码：600826 股票简称：兰生股份 公告编号：临 2025-020 东浩兰生会展集团股份有限公司 关于股票价格异常波动的公告 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、准确性和完整性承担法律责任。 重要内容提示： 一、公司股票交易异常波动的具体情况 股票连续 3 个交易日（2025 年 7 月 10 日、7 月 11 日、7 月 14 日）收盘价 格涨幅偏离值累计超过 20%。根据《上海证券交易所交易规则》的有关规定，属 于股票交易异常波动。 二、公司关注并核实的相关情况 针对公司股票交易异常波动，公司对有关事项进行了核查，并书面征询了本 公司控股股东及实际控制法人，现将有关情况说明如下： （一）生产经营情况 1 （三）媒体报道、市场传闻、热点概念情况 公司目前尚未发现其他对公司股票交易价格产生重大影响的媒体报道或市 场传闻和涉及热点概念事项。除公司已披露信息外，不存在其他应披露而未披露 的重大信息。 （四）其他股价敏感信息 经核实，公司董事、监事、高级管理人员、控股股东及实际控制法人在公司 本次股票交易异常波动期间不存在买卖公司股票的情况； ...

Group 1 - The influx of Generation Z investors has significantly changed the structure of the investor base, with those under 30 now accounting for 30% of the market, doubling since September 2024 [3] - Many young investors, including those from the Z generation, are experiencing a steep learning curve in the stock market, often facing significant losses and gaining insights through real trading experiences [3][16] - A survey revealed that 72% of young investors have only been involved in stock trading for about a year, indicating a relatively inexperienced investor demographic [2][3] Group 2 - Individual experiences highlight the transition from overconfidence to a more grounded understanding of market dynamics, as investors like Xiao Li and Li Yan faced substantial losses that reshaped their investment strategies [4][5][12] - The importance of adapting investment strategies based on market conditions and personal experiences is emphasized, with many young investors learning to balance technical analysis with macroeconomic factors [5][15] - The survey results indicate that 73.78% of Generation Z investors plan to increase their stock investments in the coming year, with a strong emphasis on the importance of emotional regulation in trading [16]

Quantitative Models and Construction 1. Model Name: Heston Model - **Model Construction Idea**: The Heston model is used to calculate the implied volatility of near-month at-the-money options, serving as a market fear index. Implied volatility reflects market participants' expectations of future volatility [8]. - **Model Construction Process**: The Heston model is a stochastic volatility model where the variance of the asset price follows a mean-reverting square-root process. The model is defined by the following equations: $ dS_t = \mu S_t dt + \sqrt{v_t} S_t dW_t^1 $ $ dv_t = \kappa (\theta - v_t) dt + \sigma \sqrt{v_t} dW_t^2 $ Here: - \( S_t \): Asset price - \( v_t \): Variance - \( \mu \): Drift rate - \( \kappa \): Mean reversion speed - \( \theta \): Long-term variance - \( \sigma \): Volatility of variance - \( W_t^1, W_t^2 \): Correlated Wiener processes [8] 2. Model Name: Multi-Sector Timing Model (Scissor Difference Strategy) - **Model Construction Idea**: This model uses the difference in the number of bullish and bearish signals among sector constituents to construct a timing strategy. If no bullish or bearish signals are present, the scissor difference is set to zero. The model aims to outperform sector indices [16]. - **Model Construction Process**: - Count the number of bullish and bearish signals for each sector's constituent stocks daily. - Compute the scissor difference as the difference between bullish and bearish signals. - If both counts are zero, the scissor difference is set to zero. - Construct a timing strategy based on the scissor difference ratio [16]. - **Model Evaluation**: The model historically outperformed all sector indices, demonstrating excellent backtesting performance [16]. --- Model Backtesting Results 1. Heston Model - **Implied Volatility Results**: - SSE 50: 11.85% (down 0.88% WoW) - SSE 500: 14.35% (down 1.59% WoW) - CSI 1000: 18.06% (down 0.42% WoW) - CSI 300: 12.64% (down 0.73% WoW) [10] 2. Multi-Sector Timing Model - **Sector Outperformance**: The model outperformed all sector indices, achieving a 100% success rate in backtesting [16]. --- Quantitative Factors and Construction 1. Factor Name: Shape-Based Timing Signals - **Factor Construction Idea**: Shape-based signals are derived from historical K-line patterns, including bullish patterns (e.g., "Golden Needle Bottom," "Rocket Launch," "Manjianghong") and bearish patterns (e.g., "Hanging Line," "Paradise Line," "Dark Cloud Cover"). These patterns indicate potential price reversals [24]. - **Factor Construction Process**: - Identify specific K-line patterns based on predefined criteria. - Evaluate the historical performance of these patterns in predicting price movements. - Use the patterns to generate timing signals for individual stocks [24]. - **Factor Evaluation**: Bullish patterns like "Golden Needle Bottom" and "Rocket Launch" demonstrated strong positive predictive power [24]. --- Factor Backtesting Results 1. Shape-Based Timing Signals - **Signal Statistics**: - Positive signals: 2,699 occurrences, with an average future high-point success rate of 28.25% - Negative signals: 3,525 occurrences, with an average future low-point success rate of 71.88% [13] 2. Sector Timing Signals - **Bullish Sectors**: Home Appliances, Comprehensive, Communication, Textile & Apparel, Consumer Services, Transportation, Petrochemicals [19] 3. Stock-Specific Signals - **Consecutive Bullish Signals**: - 5-day signals: Stocks like Kailong Co. and Shipu Testing [21] - 4-day signals: Stocks like Jiangnan Chemical, Beijing-Shanghai High-Speed Railway, and Nandu Property [22][23] - **Special Bullish Patterns**: - Stocks like Retired Longyu ("Arrow on the String") and Suotong Development ("Manjianghong") [25][26] 4. Broker Gold Stock Signals - **Highlighted Stocks**: BYD, Feilihua, Wancheng Group, Sichuan Road & Bridge, Wolong Electric Drive, Lansheng Co., PetroChina, Dongpeng Beverage [29][33]

Summary of Key Points Core Viewpoint - The company has authorized its management to dispose of financial assets not exceeding 800 million yuan to optimize its asset structure and increase liquidity without affecting normal operations [1][2]. Transaction Overview - The company will manage the disposal of financial assets based on market conditions, with a maximum limit of 800 million yuan authorized for a period of 12 months from the board's approval date [1]. - As of May 31, 2025, the total market value of the company's financial assets, including stocks and funds, is approximately 2.267 billion yuan [2]. - The authorized disposal amount does not exceed 30% of the company's audited total assets for the year 2024 [2]. - The transaction does not constitute a related party transaction or a significant asset restructuring as defined by regulations [2]. Impact on the Company - The authorization aims to positively adjust the structure of financial assets, enhancing liquidity without impacting the company's normal production and operations [2]. - The company will account for the disposal of financial assets according to relevant accounting standards, with gains or losses from stock disposals recorded in retained earnings and those from fund disposals recorded in current profits and losses [2].