Group 1 - The core viewpoint of the news highlights the strong performance of Alibaba-related stocks in the A-share market, driven by Alibaba's significant investment in AI infrastructure [1] - Alibaba's CEO announced a plan to invest 380 billion in AI infrastructure, indicating a substantial increase in computing power and energy consumption in the coming years [1] - By 2032, Alibaba Cloud's global data center energy consumption is expected to increase tenfold compared to 2022, marking a significant shift towards the ASI era [1] Group 2 - Several stocks, including Hangzhou Steel, Zhongdian Xindong, and Shibei Gaoxin, reached their daily limit up, showcasing a strong market reaction [2] - Notable stock performances include NetEase Software rising by over 7%, and companies like Dongsoft Group and iFlytek increasing by over 6% [2] - The overall market sentiment is positive, as indicated by the MACD golden cross signal formation, suggesting a bullish trend for these stocks [2]

Investment Rating - The report maintains a "Buy" rating for the media industry, indicating a positive outlook for the sector [6][9]. Core Insights - The media industry saw a weekly increase of 0.92%, ranking 8th among industries, while the Shanghai Composite Index fell by 1.30% [12][19]. - Notable performers in the media sector included Xinghui Entertainment, Perfect World, and Mango Super Media, with significant weekly gains [19]. - The report highlights the growth of AI applications, with native AI software users reaching 277 million in August 2025, and Byte's Doubao surpassing Deepseek in monthly active users [23][24]. - The gaming segment is thriving, with the game "Delta Force" achieving over 30 million daily active users and topping the iOS sales chart [27][28]. - The film industry reported a total box office of 831 million yuan for the week, with the film "731" leading the box office [32][33]. Summary by Sections Market Performance - The media industry experienced a weekly increase of 0.92%, outperforming the Shanghai Composite Index, which fell by 1.30% [12][19]. - The gaming sector saw a 3.51% increase, while advertising and publishing sectors faced declines [15]. Key Industry Data - AI applications reported a user base of 277 million, with significant growth in Tencent's products [23][24]. - The iOS game sales chart was led by "Delta Force," followed by "Honor of Kings" and "Peacekeeper Elite" [27][28]. - The total box office for the week was 831 million yuan, with "731" accounting for 69.7% of the total [32][33]. Investment Recommendations - The report expresses optimism towards AI applications and cultural exports, focusing on sub-sectors like gaming, IP, short dramas, and publishing [37]. - Specific companies highlighted for investment include Giant Network, Perfect World, and Mango Super Media [37].

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Market Overview - On September 22, the gaming sector rose by 0.16% compared to the previous trading day, with ST Huatuo leading the gains [1] - The Shanghai Composite Index closed at 3828.58, up 0.22%, while the Shenzhen Component Index closed at 13157.97, up 0.67% [1] Individual Stock Performance - ST Huatuo (002602) closed at 19.81, with a gain of 4.98% and a trading volume of 1.495 million shares, amounting to a transaction value of 2.924 billion [1] - Other notable gainers included *ST Dazheng (600892) with a 4.08% increase and ST Kaiwen (002425) with a 3.33% increase [1] - Conversely, 37 Interactive Entertainment (002555) saw a decline of 5.52%, closing at 22.24, with a trading volume of 1.5908 million shares and a transaction value of 3.588 billion [2] Capital Flow Analysis - The gaming sector experienced a net outflow of 1.484 billion from institutional investors, while retail investors saw a net inflow of 1.582 billion [2][3] - ST Huatuo had a net inflow of 2.26 billion from institutional investors, while retail investors had a net outflow of 960.133 million [3] ETF Performance - The gaming ETF (product code: 159869) tracking the China Securities Animation and Gaming Index increased by 3.64% over the past five days, with a net inflow of 17.632 million [5] - The food and beverage ETF (product code: 515170) decreased by 2.31%, with a net outflow of 24.043 million [5]

Group 1 - The core viewpoint of the articles highlights the performance of the gaming and cultural media sector, with notable stock movements in companies like NetEase Cloud Music and Liou Co., as well as the significant growth of the gaming media ETF [1][2] - As of September 19, the gaming media ETF has seen a net value increase of 79.20% over the past year, indicating strong market interest and performance in this sector [1] - The Delta Action game has topped the iOS sales chart, and its international version on Steam reached a peak of 226,000 concurrent players, showcasing the popularity and engagement of new gaming titles [1] Group 2 - Huayuan Securities notes that the current gaming market rally is based on product performance, EPS upgrades, and synchronized valuation recovery, suggesting that there is no strong bubble in valuations [2] - The report emphasizes two key strategies for continued focus on the gaming sector: the trading potential of major game titles and the structural growth opportunities in PC and mini-games [2] - The index tracks 50 listed companies involved in gaming, film, broadcasting, marketing, publishing, education, and cultural performances, reflecting the overall performance of the gaming and cultural media theme in the mainland and Hong Kong markets [2][3] Group 3 - As of August 29, the top ten weighted stocks in the index include Kuaishou-W, Tencent Holdings, and Bilibili-W, with these stocks collectively accounting for 54.14% of the index [3]

Summary of Key Points from the Conference Call Industry Overview - The gaming industry is experiencing continuous innovation in game genres and breakthroughs in evergreen games, with significant growth potential despite a slowdown in user acquisition competition and gameplay innovation [2][9] - The market for female-oriented games in China is projected to reach 8 billion yuan in 2024, reflecting a year-on-year growth of 124%, driven by an increasing female user base [6] Key Companies and Performance - Notable companies in the gaming sector include Giant Network, G-bits, Perfect World, Kain Technology, Shenzhou Taiyue, and 37 Interactive Entertainment, all showing strong performance [3] - Giant Network's "Supernatural Action Group" has achieved significant daily active users (DAU) and is expected to release strong performance in Q3 [21] - G-bits has seen its profit forecasts revised upwards due to the success of its games, including "Wanjian Changsheng" [26] - Perfect World is entering a new game release cycle, with promising results from its recent titles [28] - Kain Technology is leading in AI layout and is expected to see significant profits from its collaboration on legendary games [3] Game Trends and Innovations - The "search and escape" gameplay has gained popularity due to its high-risk, high-reward mechanics, appealing to players' psychological tendencies [5] - "Supernatural Action Group" fills a market gap with its low entry barrier and strong social attributes, attracting a large female user base, with 62% of its players being female [7] - The introduction of innovative gameplay elements in "Supernatural Action Group" has improved user retention and community engagement [10] Market Dynamics - The overseas SLG (strategy) mobile game market is expected to grow, with revenues projected to reach $12.5 billion in 2024 and $7.3 billion in the first half of 2025, reflecting year-on-year growth of 17% and 25% respectively [13][14] - Chinese companies are expected to generate $18.6 billion in overseas revenue in 2024, with strategy games accounting for approximately 41% of this figure [14] Challenges and Opportunities - The SLG mobile game segment faces challenges such as high user acquisition costs and low success rates, but successful titles can yield long lifecycles and stable profit releases [15][20] - The importance of evergreen games for small and medium-sized developers is highlighted, as they offer higher profit margins and more stable revenue streams compared to short-term products [12] Future Outlook - The gaming industry is expected to maintain strong growth momentum, with companies like ST Huadong, G-bits, and 37 Interactive Entertainment showing promising Q2 results [9] - The upcoming third quarter is anticipated to be crucial for performance, with several companies poised for growth based on their product pipelines and strategic positioning [9][23] Conclusion - The gaming industry is evolving with innovative gameplay and a focus on long-term engagement, particularly among female players. Companies that adapt to these trends and leverage their strengths in product development are likely to see continued success and growth in the coming years [2][9][12]

Investment Rating - The report maintains a "Positive" investment rating for the media industry [1] Core Insights - The report emphasizes the ongoing investment opportunities in gaming, AI applications, and content innovation, highlighting the potential for significant revenue growth in these sectors [3][4] Industry Data Overview - The game "元气唤灵师" ranks first in the iOS free game chart, while "三角洲行动" tops the iOS revenue chart as of September 20, 2025 [10][14] - The film "731" achieved the highest box office revenue of 9.98 billion CNY for the week [25] Industry News Summary - Continuous advancements in AI applications and content innovation are expected to enhance the entertainment consumption landscape [29] - OpenAI is reportedly expanding its AI hardware initiatives, which may accelerate the commercialization of AI applications across various sectors [3][4] Company Highlights - Heartbeat Company is set to launch its self-developed RPG game "伊瑟" on September 25, 2025, with over one million pre-registrations, indicating strong market interest [3] - The collaboration between Heartbeat Company and the "黄油小熊" IP has led to a significant rise in the rankings of "心动小镇" in the iPhone game sales chart [3] Recommendations - The report suggests continued investment in the gaming sector, particularly in companies like Heartbeat Company, Giant Network, and Tencent, due to their promising new releases and established franchises [3][4]

Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance - **Model Construction Idea**: This model tracks the distance of a stock's closing price from its 250-day high to identify momentum and trend-following opportunities in the market. It is inspired by studies showing that stocks near their 52-week highs tend to outperform[11][18]. - **Model Construction Process**: The formula for the 250-day new high distance is: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $Close_t$ represents the latest closing price - $ts\_max(Close, 250)$ represents the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price has fallen from the high, the distance is a positive value indicating the percentage drop[11]. - **Model Evaluation**: This model effectively captures market momentum and highlights stocks or indices that are leading the market trends[11][18]. 2. Model Name: Stable New High Stock Screening - **Model Construction Idea**: This model identifies stocks with stable price paths and consistent momentum, as smoother price trajectories are associated with stronger momentum effects[27]. - **Model Construction Process**: The screening process involves the following steps: - **Analyst Attention**: Stocks must have at least 5 "Buy" or "Overweight" ratings in the past 3 months - **Relative Strength**: Stocks must rank in the top 20% of the market based on 250-day price performance - **Price Stability**: Stocks are scored based on two metrics: - **Price Path Smoothness**: Measured by the ratio of price displacement to the total price path length - **Momentum Consistency**: Calculated as the time-series average of the 250-day new high distance over the past 120 days - **Trend Continuation**: Stocks are ranked based on the 5-day average of the 250-day new high distance, and the top 50 stocks are selected[27][29]. - **Model Evaluation**: This model emphasizes the importance of smooth and consistent price movements, which are less likely to attract excessive attention and thus generate stronger momentum effects[27][29]. --- Model Backtesting Results 1. 250-Day New High Distance - **Indices' 250-Day New High Distance**: - Shanghai Composite: 1.63% - Shenzhen Component: 1.09% - CSI 300: 1.08% - CSI 500: 1.24% - CSI 1000: 1.54% - CSI 2000: 1.91% - ChiNext Index: 1.79% - STAR 50 Index: 1.28%[2][12][34] 2. Stable New High Stock Screening - **Selected Stocks**: 50 stocks were identified, including Industrial Fulian, Giant Network, and Shengyi Electronics. - **Sector Distribution**: - Technology: 18 stocks (e.g., Electronics) - Manufacturing: 15 stocks (e.g., Machinery)[3][30][35] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: Measures the relative position of a stock's closing price to its 250-day high, capturing momentum and trend-following signals[11]. - **Factor Construction Process**: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ - $Close_t$: Latest closing price - $ts\_max(Close, 250)$: Maximum closing price over the past 250 trading days[11]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: Quantifies the smoothness of a stock's price trajectory, as smoother paths are associated with stronger momentum effects[27]. - **Factor Construction Process**: - **Price Path Smoothness**: Ratio of price displacement to total price path length over a given period[27]. 3. Factor Name: Momentum Consistency - **Factor Construction Idea**: Measures the stability of a stock's momentum over time, emphasizing consistent performance[27]. - **Factor Construction Process**: - **Momentum Consistency**: Time-series average of the 250-day new high distance over the past 120 days[27]. 4. Factor Name: Trend Continuation - **Factor Construction Idea**: Captures short-term momentum by analyzing recent price movements[27]. - **Factor Construction Process**: - **Trend Continuation**: 5-day average of the 250-day new high distance, with stocks ranked based on this metric[27]. --- Factor Backtesting Results 1. 250-Day New High Distance - **Indices' 250-Day New High Distance**: - Shanghai Composite: 1.63% - Shenzhen Component: 1.09% - CSI 300: 1.08% - CSI 500: 1.24% - CSI 1000: 1.54% - CSI 2000: 1.91% - ChiNext Index: 1.79% - STAR 50 Index: 1.28%[2][12][34] 2. Stable New High Stock Screening Factors - **Selected Stocks**: 50 stocks were identified, including Industrial Fulian, Giant Network, and Shengyi Electronics. - **Sector Distribution**: - Technology: 18 stocks (e.g., Electronics) - Manufacturing: 15 stocks (e.g., Machinery)[3][30][35]

Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of the latest closing price from the highest closing price over the past 250 trading days. It is used to identify stocks or indices that are approaching or have surpassed their historical highs, which can serve as indicators of market trends and hotspots[11][18]. - **Model Construction Process**: The formula for the 250-day new high distance is: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ represents the latest closing price - $ ts\_max(Close, 250) $ represents the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price has fallen from the high, the distance is a positive value indicating the percentage drop[11]. - **Model Evaluation**: The model is effective in identifying stocks or indices with strong momentum and can be used to monitor market trends and leading sectors[11][18]. 2. Model Name: Stable New High Stock Screening Model - **Model Construction Idea**: This model focuses on identifying stocks that not only achieve new highs but also exhibit stable price paths and consistent momentum. It incorporates factors such as analyst attention, relative strength, and price stability to refine the selection of high-momentum stocks[27][29]. - **Model Construction Process**: The screening criteria include: - **Analyst Attention**: At least 5 buy or overweight ratings in the past 3 months - **Relative Strength**: 250-day price change in the top 20% of the market - **Price Stability**: Stocks are ranked based on the following metrics: - **Price Path Smoothness**: Ratio of price displacement to the total price path - **New High Continuity**: Average 250-day new high distance over the past 120 days - **Trend Continuity**: Average 250-day new high distance over the past 5 days The top 50 stocks based on these criteria are selected as stable new high stocks[27][29]. - **Model Evaluation**: The model emphasizes the temporal characteristics of momentum and identifies stocks with smoother price paths, which are less likely to experience extreme volatility[27][29]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite: 1.63% - Shenzhen Component: 1.09% - CSI 300: 1.08% - CSI 500: 1.24% - CSI 1000: 1.54% - CSI 2000: 1.91% - ChiNext Index: 1.79% - STAR 50 Index: 1.28%[12][13][34] 2. Stable New High Stock Screening Model - **Selected Stocks**: 50 stocks were identified, including Industrial Fulian, Giant Network, and Shengyi Electronics. - **Sector Distribution**: - Technology: 18 stocks (e.g., Electronics) - Manufacturing: 15 stocks (e.g., Machinery)[30][35] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: Measures the relative position of the latest closing price to the highest price in the past 250 trading days, indicating momentum strength[11]. - **Factor Construction Process**: The formula is: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ is the latest closing price - $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: This factor effectively captures momentum and is widely used in trend-following strategies[11][18]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: Evaluates the stability of a stock's price movement by comparing the displacement of the price path to its total length[27]. - **Factor Construction Process**: $ Price\ Path\ Smoothness = \frac{Price\ Displacement}{Total\ Price\ Path} $ Where: - Price Displacement is the straight-line distance between the starting and ending prices - Total Price Path is the cumulative sum of absolute daily price changes over a given period[27]. - **Factor Evaluation**: Stocks with smoother price paths tend to exhibit stronger and more sustainable momentum[27]. 3. Factor Name: New High Continuity - **Factor Construction Idea**: Measures the consistency of a stock's ability to maintain new highs over time[29]. - **Factor Construction Process**: $ New\ High\ Continuity = Average\ (250\ Day\ New\ High\ Distance\ Over\ Past\ 120\ Days) $ This factor calculates the mean of the 250-day new high distance over a rolling 120-day window[29]. - **Factor Evaluation**: This factor highlights stocks with persistent upward trends, making them attractive for momentum-based strategies[29]. --- Factor Backtesting Results 1. 250-Day New High Distance - **Indices' 250-Day New High Distance**: - Shanghai Composite: 1.63% - Shenzhen Component: 1.09% - CSI 300: 1.08% - CSI 500: 1.24% - CSI 1000: 1.54% - CSI 2000: 1.91% - ChiNext Index: 1.79% - STAR 50 Index: 1.28%[12][13][34] 2. Price Path Smoothness and New High Continuity - **Selected Stocks**: 50 stocks were identified, including Industrial Fulian, Giant Network, and Shengyi Electronics. - **Sector Distribution**: - Technology: 18 stocks (e.g., Electronics) - Manufacturing: 15 stocks (e.g., Machinery)[30][35]

Summary of the Conference Call for Giant Network Company Overview - **Company**: Giant Network - **Industry**: Gaming Key Points and Arguments Performance of "Supernatural Action Group" - "Supernatural Action Group" has shown significant improvement in the iOS sales rankings from June to August, reaching a peak of 100 million concurrent users in July and maintaining a top five position in the iOS free chart [2][3] - The game ranked around 52nd, 22nd, and 12th in the iOS sales chart during June, July, and August respectively, and improved to around 11th after the launch of "Escape from Horror" in September [4][5] - The upcoming "Monster Farm" is expected to further increase online user engagement and revenue during the National Day holiday [2][5] Future Product Pipeline - In addition to "Supernatural Action Group," Giant Network has several upcoming titles, including "Ming Jiang Sha" and "5,000 Years," which are set to launch between 2026 and 2027, potentially driving revenue growth [2][6] - The company is actively integrating AI technology into its games, enhancing user experience and engagement through innovative features [6][9] Market Expectations and Valuation - Market expectations for Giant Network's performance in 2025 and 2026 have been continuously revised upward due to the strong performance of "Supernatural Action Group" [7][8] - The company's valuation is expected to rise as "Supernatural Action Group" becomes a leading long-term game, alongside the launch of other products [8] AI Integration and Innovations - Giant Network has made significant strides in integrating AI with gaming, enhancing player engagement and retention through features like the Deepseek R1 model in its core product [9] - The introduction of AI-driven gameplay mechanics has led to increased player activity, session length, and revenue growth [9] Key Factors Influencing Future Performance - Future performance and stock price are influenced by the ongoing updates and innovations in "Supernatural Action Group," as well as the impact of "Monster Farm" and upcoming holiday events [10][11] - The successful testing and launch of new products like "Ming Jiang Sha" will also play a crucial role in the company's long-term growth and valuation [11][13] Current Market Position - Despite recent stock price fluctuations, Giant Network remains in a growth phase, with new product performances expected to drive significant revenue revisions [12][13] Additional Important Insights - The company is focusing on maintaining a robust product pipeline and leveraging AI to enhance gaming experiences, which are critical for sustaining growth in a competitive market [6][9] - Investors are encouraged to monitor the performance of new products and their potential impact on revenue and market valuation [12][13]