Core Viewpoint - The extension of the cobalt export ban by the Democratic Republic of the Congo (DRC) until October 15 is expected to significantly impact the global cobalt supply chain, potentially leading to a sharp increase in cobalt prices [1][2][5]. Summary by Sections Cobalt Export Ban - The DRC's strategic mineral regulatory agency announced the extension of the cobalt export ban until October 15, with a planned lifting on October 16 and the implementation of annual export quotas [1][5]. - The export quotas allow mining companies to export a maximum of 18,125 tons of cobalt for the remainder of 2025, with annual limits of 96,600 tons for 2026 and 2027 [5]. Price Impact - The ban's extension is likely to create a supply gap, accelerating the consumption of existing inventories and leading to a significant short-term increase in cobalt prices [5]. - As of September 18, cobalt prices have surged to over 270,000 yuan per ton, reflecting a 62.7% increase since the beginning of the year [2][7]. Long-term Outlook - Analysts maintain an optimistic view on cobalt prices for the year, with expectations that the DRC's export quotas will enhance its pricing power, potentially raising the price center [3][12]. - Projections indicate that cobalt prices could reach over 350,000 yuan per ton between 2026 and 2027 [10]. Demand Drivers - Cobalt is a critical component in lithium-ion batteries, particularly in electric vehicles and consumer electronics, with demand expected to rise due to advancements in technology such as 5G, AI, and IoT [9][11]. - Global cobalt consumption is projected to increase by 7.15% in 2024, with China's consumption expected to grow by 5.6% [9]. Market Performance - The DRC's export ban has led to a significant improvement in the global cobalt market's supply-demand dynamics, with prices rebounding sharply [7]. - Major players in the cobalt industry, such as Luoyang Molybdenum and Huayou Cobalt, have seen substantial stock price increases, reflecting the positive market sentiment [12].

Core Insights - The global consumer electronics market is projected to exceed $1 trillion by 2025, with China playing a crucial role in this growth [1] - Foreign tourists, particularly younger individuals, are increasingly visiting China not just for cultural experiences but to purchase innovative Chinese electronic products [1] Group 1: Consumer Behavior - Tourists are actively seeking out Chinese tech products, with experiences like visiting tech stores becoming essential parts of their travel itineraries [3] - Many foreign consumers are well-informed and have specific products in mind when shopping in China, often looking for high-quality and unique items that may not be available in their home countries [6] - The trend of purchasing Chinese tech products is driven by the perception of superior quality and value compared to similar products in their home markets [6][9] Group 2: Product Popularity - Action cameras and drones are among the most sought-after products by foreign consumers visiting China [4] - The demand for Chinese tech products is not limited to local brands; foreign brands are also found to be cheaper in China compared to their prices in developed countries [6][8] Group 3: Market Trends - The shift in foreign consumer behavior indicates a move from seeking low-cost items to prioritizing high-tech, customized, and innovative products [9][10] - The increasing influence of Chinese tech products on international social media platforms highlights their growing global appeal [6][7] Group 4: Shopping Experience - The introduction of tax refund services and improved shopping infrastructure enhances the overall experience for foreign consumers in China [10] - Recommendations for improving services for international customers include enhancing international payment systems and creating immersive product experiences [10]

Core Insights - Nvidia announced a $5 billion stock purchase of Intel at $23.28 per share, prompting renewed interest in Intel [1] - Intel's stock surged nearly 23% on September 18, reaching a new 52-week high as it attempts to recover from setbacks in the AI sector [2] Company Overview - Intel, headquartered in Santa Clara, California, specializes in microprocessors and chip technologies for various devices, including personal computers and data centers [3] - The company has a market capitalization of $133.80 billion [5] Recent Developments - Intel is expanding its manufacturing capabilities with a $20 billion investment in two new chip factories in Ohio, although the project has been delayed to 2031 [4] - The company is focusing on emerging technologies such as AI, 5G, and autonomous technology to enhance its product offerings [5] Financial Performance - Intel's stock has increased by 39.7% over the past 52 weeks and 47.3% year-to-date, with a recent high of $32.38 on September 18 [6] - The company's Q2 fiscal 2025 revenue was flat year-over-year at $12.86 billion, exceeding Wall Street's expectations of $11.87 billion [7] - Intel's price-to-sales (P/S) ratio is 2.49, lower than the industry average of 3.65 [6]

- The report focuses on the investment value of the China Securities 5G Communication Theme Index, which selects stocks related to 5G infrastructure, terminal devices, and application scenarios to reflect the overall performance of 5G-related listed companies in the A-share market [3][59][61] - The index's sample selection process involves filtering stocks based on daily average market capitalization and trading volume over the past year, followed by selecting the top 50 securities related to 5G construction or applications [61] - The index's top 10 constituent stocks, as of September 8, 2025, include leading companies in the 5G industry such as New Easystone and Zhongji Xuchuang, which together account for nearly 25% of the index's weight, showcasing a "dual-core" structure [65][64] - The index's sector distribution is concentrated in communication, electronics, and computing, with a combined weight of 94.86%, highlighting its high "hard technology" purity and strong focus on 5G-related industries [65][67] - The index demonstrates a preference for large-cap stocks, with companies valued over 1 trillion RMB accounting for 68.03% of the total weight, emphasizing its "blue-chip" characteristics [68][70] - The index's valuation has rapidly recovered, with its PE and PB ratios showing significant growth, reflecting the high prosperity of the 5G construction and application sectors [75][76] - The index's earnings growth is projected to be robust, with expected revenue growth rates of 23.87%, 23.78%, and 18.46% for 2025, 2026, and 2027, respectively, and net profit growth rates of 40.02%, 30.44%, and 21.22% for the same years [77][78] - The Hua Xia China Securities 5G Communication Theme ETF (5GETF), which tracks this index, aims to minimize tracking deviation and tracking error, and is managed by an experienced fund manager with over 16 years in the industry [79][80]

Technology & Development - The company aims to provide full 5G service from space to cell phones [1] - Achieving this goal requires launching larger, more powerful satellites [1] - The satellite launch depends on a rocket that is still under development [1] Spectrum Acquisition - The company is acquiring spectrum to enable its 5G service [1]

Market Overview - U.S. stocks experienced a strong start to the week, with the S&P 500 gaining 0.5% and setting a new closing record, marking its 25th record this year, while the Nasdaq also reached all-time highs [1] - Market support was bolstered by expectations of potential Federal Reserve rate cuts, despite ongoing diplomatic challenges [2] Sector Highlights - Tesla's stock rose by 3.6% following Elon Musk's announcement of a $1 billion share buyback, which enhanced investor confidence [3] - Oracle and Seagate Technology saw gains due to momentum in data centers and increasing demand for cloud infrastructure [3] - Gold prices continued to rise, climbing another 1% to a new high, achieving a 40% gain year-to-date, making precious metals attractive to investors as a hedge against uncertainty [3] Investment Opportunities - The strength in renewable energy, technology, and commodities highlights a wide range of investment opportunities across various sectors [4] Company Insights - **American Tower Corporation (NYSE:AMT)**: - Achieved an 8.5% core growth rate and expects mid- to high-single-digit growth, driven by spectrum auctions, 5G rollouts, and expanding AI workloads [10] - Operates nearly 150,000 towers and networked data centers globally, positioning itself as one of the largest multitenant communications REITs [11] - **Freeport-McMoRan Inc. (NYSE:FCX)**: - Experienced a temporary disruption at its Grasberg Block Cave mine due to an incident but confirmed contractor safety and prioritized employee safety [12][13] - A leading global mining company specializing in copper, gold, and molybdenum with major operations in North and South America and Indonesia [13] - **EQT Corporation (NYSE:EQT)**: - Announced a 20-year Sale and Purchase Agreement with NextDecade Corporation for 1.5 million tonnes of liquefaction capacity annually at the Rio Grande LNG export facility [14] - The agreement supports EQT's strategy to expand into international gas markets and enhance earnings, positioning it as a preferred global gas supplier [15] - Recognized as the largest U.S. natural gas producer, focusing on sustainable operations in the Appalachian Basin [16]

Group 1 - Qualcomm Incorporated (NASDAQ:QCOM) is a global leader in semiconductors, software, and services related to wireless communications, making it attractive to dividend-focused investors due to its balance of innovation and consistent income generation [1] - The company gained prominence by driving the smartphone revolution in the 2000s and 2010s, and the rollout of 5G networks has provided a renewed boost to its growth [2] - Qualcomm has expanded its portfolio beyond mobile phones to include components for network infrastructure, industrial equipment, smart home devices, virtual reality systems, and automotive technology, enhancing its long-term growth prospects [3] Group 2 - Qualcomm has a strong dividend growth streak of 21 years, making it one of the best stocks for a dividend portfolio, currently offering a quarterly dividend of $0.89 per share and a dividend yield of 2.14% as of September 18 [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]

Group 1: Industry Outlook - The lighting industry is currently facing significant market pressures, leading to increased operational challenges for companies [2] - The competitive landscape is expected to persist, with cost and market pressures accelerating the exit of small and medium enterprises, thereby promoting industry consolidation [2] - The market concentration is anticipated to improve, with leading companies solidifying their positions due to advantages in channels, branding, technology, scale, and capital [2] Group 2: Strategic Planning - The company aims to transition from a single product supply model to integrated solutions in smart cities, smart homes, health lighting, and green lighting [2] - The development strategy is anchored on "internal growth + external mergers and acquisitions" as a dual-driven approach [2] - Internal growth will be achieved through enhanced operational efficiency, increased R&D investment, and optimized product structure, while external growth will focus on mergers to integrate industry resources and expand into high-potential emerging fields [2]