Group 1: Alibaba (Code: 00988) - Technical analysis indicates a support level at 144.6 and a resistance level at 185.6, with strong rebound momentum from the support level, suggesting a short-term upward trend [1] - Recommended call warrants are 21370, 20017, and 15432, while bull warrants are 57383, 57470, and 57384 [1] Group 2: Meituan (Code: 03690) - Support level is at 88 and resistance level at 107.1, with a high probability of breaking through the resistance level, indicating an upward trend [1] - Recommended call warrants are 19971, 20069, and 20116, with bull warrants being 58005, 53778, and 53780 [1] Group 3: Xiaomi (Code: 01810) - Technical indicators show a support level at 39.8 and a resistance level at 56.4, with the price at the lower end of an upward channel, indicating a high safety margin and short-term upward trend [1] - Recommended call warrants are 16253, 13630, and 13979, while bull warrants are 67393, 67394, and 67402 [1] Group 4: AIA (Code: 01299) - Support level is at 68.6 and resistance level at 77.2, characterized by low volatility as a blue-chip stock, with a stable short-term upward trend [1] - Recommended call warrants are 18410, 17948, and 18411, with bull warrants being 61825, 53008, and 61274 [1] Group 5: Hong Kong Exchanges and Clearing (Code: 00388) - Technical analysis shows a support level at 399 and a resistance level at 460, with strong performance driven by active market trading, indicating a short-term upward trend [1] - Recommended call warrants are 27741, 15562, and 23503, while bull warrants are 62570, 56665, and 68548 [1] Group 6: BYD (Code: 01211) - Support level is at 95.8 and resistance level at 113.8, with the stock benefiting from the popularity of the new energy sector, indicating a short-term upward trend [1] - Recommended call warrants are 20458, 20495, and 20219, while bull warrants are 56780, 64027, and 63130 [1] Group 7: HSBC (Code: 00005) - Support level is at 94.3 and resistance level at 110.5, with a stable trend influenced by the valuation recovery in the banking sector, indicating a short-term upward trend [1] - Recommended call warrants are 19105, 18901, and 19104, while bull warrants are 65343, 66095, and 68629 [1] Group 8: China Construction Bank (Code: 00939) - Technical indicators show a support level at 7.38 and a resistance level at 8.26, characterized as a low valuation high dividend stock with strong safety attributes, indicating a short-term upward trend [1] - Recommended call warrants are 17265, 19572, and 20261, while bull warrants are 62134, 62178, and 57112 [1] Group 9: Industrial and Commercial Bank of China (Code: 01398) - Support level is at 5.55 and resistance level at 6.35, characterized by low volatility as a large-cap bank stock, indicating a clear short-term upward trend [1] - Recommended call warrants are 20585, 20618, and 16703, while bull warrants are 65682, 57199, and 58321 [1] Group 10: China Mobile (Code: 00941) - Technical analysis indicates a support level at 78.7 and a resistance level at 91.7, with strong earnings supporting the stock price as a leader in the telecommunications industry, indicating a short-term upward trend [1] - Recommended call warrants are 21277, 21344, and 28920, while bull warrants are 57975, 56130, and 63412 [1] Group 11: SMIC (Code: 00981) - Support level is at 58.5 and resistance level at 89.6, benefiting from favorable policies in the semiconductor sector, indicating high elasticity and a short-term upward trend [1] - Recommended call warrants are 13923, 20790, and 20292, while bull warrants are 61294, 61093, and 60800 [1] Group 12: Kuaishou (Code: 01024) - Support level is at 63.1 and resistance level at 88, with strong rebound momentum driven by stable demand in the short video sector, indicating a short-term upward trend [1] - Recommended call warrants are 17442, 17594, and 15122, while bull warrants are 59046, 59410, and 61399 [1] Group 13: JD.com (Code: 09618) - Technical indicators show a support level at 115.9 and a resistance level at 141.3, benefiting from the recovery in the e-commerce sector and positive earnings expectations, indicating a short-term upward trend [1] - Recommended call warrants are 19677, 19641, and 19529, while bull warrants are 56434, 55794, and 56562 [1] Group 14: Anta (Code: 02020) - Support level is at 81 and resistance level at 95.6, characterized as a leader in sports apparel, benefiting from consumer recovery, indicating a short-term upward trend [1] - Recommended call warrants are 13440, 13921, and 15902, while bull warrants are 54515, 54416, and 65820 [1] Group 15: Tencent (Code: 00700) - Technical indicators show a support level at 581 and a resistance level at 680, indicating a short-term upward trend with ample room for growth [1] - Recommended call warrants are 18949, 18902, and 13713, while bull warrants are 55125, 67093, and 55772 [1]

Core Insights - On October 22, 2025, Alibaba-W (09988), SMIC (00981), and Innovent Biologics (01801) were the top three stocks by trading volume in the Southbound Stock Connect, with trading amounts of 4.114 billion, 3.407 billion, and 3.239 billion respectively [1] - In the Southbound Stock Connect for the Shenzhen-Hong Kong Stock Connect, Innovent Biologics (01801), Alibaba-W (09988), and Pop Mart (09992) led the trading volume, with amounts of 2.684 billion, 2.466 billion, and 2.336 billion respectively [1] Southbound Stock Connect (Hong Kong-Shanghai) - Top three active stocks by trading amount: - Alibaba-W (09988): 4.114 billion, net buy of -0.18 billion - SMIC (00981): 3.407 billion, net buy of 0.292 billion - Innovent Biologics (01801): 3.239 billion, net buy of 0.374 billion [2] - Other notable stocks include: - Pop Mart (09992): 2.730 billion, net buy of 0.199 billion - Tencent Holdings (00700): 1.716 billion, net buy of 0.259 billion [2] Southbound Stock Connect (Shenzhen-Hong Kong) - Top three active stocks by trading amount: - Innovent Biologics (01801): 2.684 billion, net buy of -0.253 billion - Alibaba-W (09988): 2.466 billion, net buy of 0.172 billion - Pop Mart (09992): 2.336 billion, net buy of 0.041 billion [2] - Other notable stocks include: - SMIC (00981): 1.857 billion, net buy of 0.350 billion - Tencent Holdings (00700): 1.081 billion, net buy of 0.049 billion [2]

Core Viewpoint - The article discusses the significant impact of AI on the gaming industry, particularly in enhancing development efficiency and changing production methods. It highlights the ongoing exploration of AI tools that can streamline game creation processes, potentially reducing the time and cost involved in game development [3][4][5]. Group 1: AI's Impact on Game Development Efficiency - AI tools can save approximately 70% to 80% of the workload in game development, especially in art asset processing, with animation and modeling being the most labor-intensive areas [5]. - The use of AI in animation can reduce the time required for tasks such as skinning from 1.5 to 3.5 days to just 1 to 3 hours, achieving a labor saving of 70% to 90% [5]. - AI can also automate the generation of smooth animations from keyframes, increasing efficiency by 3 to 5 times compared to traditional methods [5][6]. Group 2: Adoption and Implementation of AI Tools - Tencent has reported a 40% reduction in character animation production cycles due to AI tools, with some projects reducing prototype validation time from 2 weeks to 3 days [6]. - Over 50 external companies, including major players in the gaming industry, are currently utilizing Tencent's AI tools, which are also being tested by companies in Japan, South Korea, and Europe [6]. - AI tools are particularly beneficial for small to medium-sized teams, allowing them to achieve results that previously required larger teams [11]. Group 3: Cost Reduction and Production Quality - AI can significantly lower production costs; for example, in high-quality 3D games like "Black Myth: Wukong," AI tools can handle 20% to 30% of secondary resources, potentially saving millions in production costs [7]. - The cost of using AI tools is relatively low compared to human labor, making them an attractive option for game developers [7]. Group 4: Industry Perspectives on AI - There are mixed opinions within the industry regarding AI's ability to replace human creativity, with some believing that AI lacks the "soul" necessary for compelling game design [8][10]. - However, some industry professionals have begun to recognize the potential of AI to enhance creativity and provide new avenues for game development [10][11]. Group 5: Future of Game Development with AI - The integration of AI tools is expected to evolve the game development pipeline without completely disrupting existing workflows [12]. - New technologies, such as Google's interactive world models, are emerging, which could further enhance game development processes by allowing for quicker and more effective communication of game concepts [13][14]. - The future may see a convergence of different AI paths, leading to unique workflows in game development over the next few years [14].

Market Overview - The Hang Seng Index fell by 245.78 points, a decrease of 0.94%, closing at 25,781.77 points [1] - The total turnover for the day was 227.536 billion HKD [1] - The Hang Seng China Enterprises Index dropped by 78.88 points, closing at 9,223.78 points, a decline of 0.85% [1] - The Hang Seng Tech Index decreased by 84.85 points, closing at 5,923.09 points, a drop of 1.41% [1] Blue-Chip Stocks - Tencent Holdings decreased by 1.11%, closing at 623.5 HKD [1] - Hong Kong Exchanges and Clearing fell by 1.58%, closing at 422.4 HKD [1] - China Mobile declined by 0.88%, closing at 84.45 HKD [1] - HSBC Holdings increased by 0.1%, closing at 102.5 HKD [1] Local Hong Kong Stocks - Cheung Kong Holdings fell by 0.26%, closing at 37.86 HKD [1] - Sun Hung Kai Properties decreased by 1.44%, closing at 92.35 HKD [1] - Henderson Land Development dropped by 0.87%, closing at 27.3 HKD [1] Chinese Financial Stocks - Bank of China decreased by 0.23%, closing at 4.36 HKD [1] - China Construction Bank fell by 0.13%, closing at 7.81 HKD [1] - Industrial and Commercial Bank of China increased by 0.17%, closing at 5.96 HKD [1] - Ping An Insurance dropped by 0.72%, closing at 55.5 HKD [1] - China Life Insurance decreased by 2.33%, closing at 24.36 HKD [1] Oil and Petrochemical Stocks - Sinopec increased by 0.24%, closing at 4.13 HKD [1] - PetroChina rose by 1.15%, closing at 7.89 HKD [1] - CNOOC increased by 0.93%, closing at 19.5 HKD [1]

Core Insights - The Hong Kong stock market saw a net inflow of 100.18 billion HKD from northbound trading on October 22, with the Shanghai Stock Connect contributing 66.93 billion HKD and the Shenzhen Stock Connect contributing 33.25 billion HKD [1] Group 1: Stock Performance - The most bought stocks included the Tracker Fund of Hong Kong (02800), CNOOC (00883), and SMIC (00981) [1] - The most sold stocks were Hua Hong Semiconductor (01347), Xiaomi Group-W (01810), and Alibaba Group-W (09988) [1] - Alibaba Group-W had a buy amount of 19.67 billion HKD and a sell amount of 21.47 billion HKD, resulting in a net outflow of 1.80 billion HKD [2] - CNOOC (00883) received a net inflow of 14.24 billion HKD, supported by reports of long-term growth potential amid oil price fluctuations [5] - SMIC (00981) had a net inflow of 6.42 billion HKD, while Hua Hong Semiconductor (01347) faced a net outflow of 2.97 billion HKD [5] Group 2: Market Trends and Analyst Insights - Analysts suggest that the current external uncertainties, particularly the US-China tensions, are causing short-term market volatility, but a better entry point for investments may arise once these uncertainties diminish [4] - The semiconductor sector is experiencing a split, with a positive outlook on AI-driven growth, while domestic production capabilities are expected to accelerate due to US export controls [5] - Pop Mart (09992) reported a strong third-quarter performance with revenue growth of 245% to 250%, leading to an upward revision of earnings forecasts by Bank of America [5] - A strategic partnership between Innovent Biologics (01801) and Takeda Pharmaceutical is set to yield a total potential deal value of up to 114 billion USD, indicating significant growth prospects in the biotech sector [6][7]

Investment Rating - The industry investment rating is "Outperform" [1] Core Insights - OpenAI has initiated a "technology-hit product-user" growth flywheel, transitioning to a platform-based business model [2] - The domestic internet sector is accelerating the implementation of AI platforms, competing for user entry points and ecological dominance [3] - OpenAI represents a closed-source ecosystem centered on technology, achieving user growth through "technology-hit products," with MAU surpassing 1 billion [4] Summary by Sections OpenAI: Initiating the "Technology-Hit Product-User" Growth Flywheel - OpenAI is evolving into a platform company, with user accumulation forming a strong competitive moat [7] - The company anticipates revenue growth, projecting $200 billion by 2030, with a CAGR of 92% from 2024 to 2030 [4][48] - The launch of products like GPT-4o and GPT-5 has significantly boosted user engagement, with message volume increasing over 7 times since launch [33] Domestic Internet: Accelerating AI Platform Implementation - ByteDance's Doubao and Tencent's Yuanbao are competing aggressively for user acquisition [49] - Doubao's MAU reached 1.5 million and 860,000 on app and web platforms respectively, showing strong growth [57] - Tencent's Yuanbao is leveraging the popularity of AI applications to enhance its user base [58] Breaking the "Disruption Theory" - The core value of large models has shifted from being disruptors to enablers, fostering a new industrial cycle [6] - OpenAI and other leading firms are collaborating with application companies to expand the AI market [4] - The competitive focus is shifting towards user accumulation and platform transformation capabilities [4] Investment Recommendations - The dual strategy of "ToC for branding and ToB for business" is seen as a consensus in the industry [4] - Companies with entry value in the Hong Kong internet sector and those with potential collaboration with large model firms are recommended for investment [4]

微信电脑版拉群能带上聊天记录了 见实发现，微信最近的更新里，有两项小功能格外实用： 一项是"误删聊天记录可撤销"，让"手滑党"终于有了后悔药；另一项是在单聊中邀请他人时，可分享过往聊天记录，让沟通更连续、信息更完整。 微信误删聊天记录可撤销了 现在，微信内左滑删除单个好友或群聊聊天对话时，5秒内可以撤销删除。iOS用户更新至8.0.61及以上版本即可体验。 现在，当删除某项聊天后，手机屏幕底部会出现"已删除与某某的聊天"的提示，提示框内右侧有一个"撤销"按钮，可一键恢复。这个功能对"手滑党"相当 友好，减少了不少误删。 需要提醒的是，见实体验时发现——5秒真的不长。如果真遇到误删，记得手快一点，否则也来不及挽回。 Mac版微信4.1.2上线了新功能——在单聊中邀请人时可分享聊天记录。也就是，当用户从单聊扩展到多人聊天时，过往的对话不再被切断，可以选择性带 入新群，让沟通更连贯。 用户可在与好友的单聊界面点击右上角"…"菜单，选择"+"号发起群聊。在弹出的创建界面右下方，将出现一个"分享聊天记录"的选项。 点击后，用户可以手动勾选希望同步的聊天记录（文字、图片、视频等），这些内容将直接出现在新群的聊天界面中。最 ...

允中 发自 凹非寺 量子位 | 公众号 QbitAI 腾讯混元世界模型再放大招！刚刚发布并开源 混元世界模型1.1 （WorldMirror） ——真正统一的端到端3D重建基座大模型。 它 首次 支持用户从多视图或视频中一键生成3D世界，还能在单卡、秒级推理下完成高精度重建。 同时，混元世界模型1.1也是业界 首个 统一 （any-to-any） 的前馈式 （feedforward） 3D重建大模型。 不仅支持额外的相机、深度等多模态先验输入，还能同时实现点云、深度、相机、表面法线和新视角合成等多任务统一输出，性能达成新的 SOTA 。 效果上，无论是3D点云重建还是端到端3DGS重建，混元世界模型1.1都展现出领先同行的几何精度和细节还原，可以实现更稳定、更真实的 场景重建。 动画风格的虚拟场景，对它来说so easy，嗖地一下就置身欧洲小镇街角，感觉下一秒就可以游戏跑图了 （doge） 中华风也不在话下，背景里的石灯、房梁都还原度拉满。 首先体验一下此次混元世界模型1.1的生成效果： 真实的航拍场景也满满都是细节，妥妥的景区宣传vlog，即拿即用，这下谁还能分清是不是AI生成的～ 那么话不多说，下面我们一 ...

Group 1 - The technology sector is experiencing a pullback, but it is expected to remain a main focus until the end of the year due to its strong correlation with indices and risk appetite, particularly in AI [1] - There is a potential return of active funds that had previously exited the market, as well as institutional demands for net asset value and rankings before the assessment period at the end of November and December [1] - Market capitalization style may slightly favor small and mid-cap stocks, as many absolute return institutions are expected to operate conservatively in the next two months, limiting the market's ability to exceed a trading volume of 3 trillion [1] Group 2 - The domestic AI supply chain, AI applications, and Hong Kong internet stocks are viewed positively, especially during the performance gap in November and December, where focus will shift to economic policy expectations for December and next year's industry outlook [2] - The domestic AI supply chain is expected to have more visibility and potential for earnings upgrades compared to overseas chains, attracting institutions that previously missed out on overseas computing power [2] - In the Hong Kong tech sector, low valuations and the need for institutions to lock in profits will drive interest, especially as the market anticipates upward index movements and faces selling pressure from broad-based ETFs [2] Group 3 - As of October 22, 2025, the CSI Hong Kong Stock Connect Technology Index shows mixed performance among its constituent stocks, with notable gains from China National Pharmaceutical (4.27%) and Semiconductor Manufacturing International Corporation (0.88%) [3] - The CSI Hong Kong Stock Connect Technology Index consists of 50 large-cap, high R&D investment, and high revenue growth technology companies, reflecting the overall performance of tech leaders within the Hong Kong Stock Connect [3] - The top ten weighted stocks in the CSI Hong Kong Stock Connect Technology Index account for 66.5% of the index, including major players like Alibaba, Tencent, and Xiaomi [3]

Group 1 - The Hang Seng Technology Index experienced a decline, with a drop of over 1.5% during the afternoon session on October 22, leading to a decrease of over 2% in the largest A-share counterpart, the Hang Seng Technology Index ETF (513180) [1] - Major stocks such as NetEase, BYD Electronics, JD Health, Kingsoft, Baidu Group, and Lenovo Group were among the biggest losers in the ETF [1] - Goldman Sachs reported that a slow bull market for Chinese stocks is forming, predicting a 30% upside for the MSCI China Index over the next two years [1] Group 2 - Goldman Sachs suggests that investors should shift their mindset from "selling on highs" to "buying on lows" as the bull market unfolds in China [1] - The report emphasizes an alpha-driven investment strategy focusing on the "China Ten Giants" which includes Tencent, Alibaba, Xiaomi, BYD, Meituan, NetEase, Midea, Hengrui Medicine, Ctrip, and Anta [1] - The Hang Seng Technology Index ETF (513180) includes 30 leading Hong Kong tech stocks, focusing on the AI industry chain across upstream, midstream, and downstream sectors [2]