Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of stock prices or indices from their 250-day high to identify market trends and hotspots. It is based on the momentum and trend-following strategy, which has been proven effective in various studies[11][19]. - **Model Construction Process**: The 250-day new high distance is calculated using the formula: $ 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 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 representing the percentage drop[11]. - **Model Evaluation**: This model effectively identifies stocks or indices with strong momentum and highlights market leaders during upward trends[11][19]. 2. Model Name: Stable New High Stock Screening Model - **Model Construction Idea**: This model focuses on identifying stocks that exhibit stable momentum characteristics, such as smooth price paths and consistent new highs, which are less likely to be influenced by extreme short-term fluctuations[25]. - **Model Construction Process**: The screening process involves the following steps: 1. **Analyst Attention**: Stocks must have at least five "Buy" or "Overweight" ratings in the past three months[27]. 2. **Relative Strength**: Stocks must rank in the top 20% of the market based on their 250-day price performance[27]. 3. **Price Stability**: Stocks are scored based on two indicators: - **Price Path Smoothness**: Measured by the ratio of price displacement to the total price movement over the past 120 days[25][27]. - **New High Consistency**: The average 250-day new high distance over the past 120 days[27]. 4. **Trend Continuity**: The average 250-day new high distance over the past five days is used to select the top 50 stocks[27]. - **Model Evaluation**: This model emphasizes the importance of smooth momentum and consistent trends, which are often overlooked by investors, leading to stronger momentum effects[25][27]. --- Backtesting Results of Models 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.12% - Shenzhen Component Index: 3.19% - CSI 300: 3.55% - CSI 500: 0.53% - CSI 1000: 0.35% - CSI 2000: 0.23% - ChiNext Index: 8.48% - STAR 50 Index: 7.39%[12][32] 2. Stable New High Stock Screening Model - **Selected Stocks**: 50 stocks were identified, including Borui Pharmaceutical, Shenghong Technology, and Huaguang Energy[28][33]. - **Sector Distribution**: - Manufacturing: 18 stocks - Cyclical: 13 stocks - Leading industries: Machinery in manufacturing and basic chemicals in cyclical sectors[28][33] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: This factor measures the relative position of a stock's closing price to its 250-day high, capturing momentum and trend-following characteristics[11]. - **Factor Construction Process**: The formula is the same as the 250-Day New High Distance Model: $ 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]. - **Factor Evaluation**: This factor is effective in identifying stocks with strong upward momentum and market leadership potential[11][19]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: This factor evaluates the stability of a stock's price movement over time, favoring stocks with less volatile momentum[25]. - **Factor Construction Process**: - **Price Path Smoothness**: Calculated as the ratio of price displacement to the total price movement over the past 120 days[25][27]. - **Factor Evaluation**: Smooth price paths are associated with stronger momentum effects due to reduced investor attention and reaction[25]. 3. Factor Name: New High Consistency - **Factor Construction Idea**: This factor measures the consistency of a stock's new highs over time, emphasizing sustained upward trends[27]. - **Factor Construction Process**: - **New High Consistency**: The average 250-day new high distance over the past 120 days[27]. - **Factor Evaluation**: Consistent new highs indicate strong and sustained momentum, making this factor valuable for trend-following strategies[27]. --- Backtesting Results of Factors 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.12% - Shenzhen Component Index: 3.19% - CSI 300: 3.55% - CSI 500: 0.53% - CSI 1000: 0.35% - CSI 2000: 0.23% - ChiNext Index: 8.48% - STAR 50 Index: 7.39%[12][32] 2. Price Path Smoothness Factor - **Selected Stocks**: 50 stocks were identified, including Borui Pharmaceutical, Shenghong Technology, and Huaguang Energy[28][33]. - **Sector Distribution**: - Manufacturing: 18 stocks - Cyclical: 13 stocks - Leading industries: Machinery in manufacturing and basic chemicals in cyclical sectors[28][33] 3. New High Consistency Factor - **Selected Stocks**: Same as the Price Path Smoothness Factor, as this factor is part of the screening process for stable new high stocks[28][33].

Key Points - The report highlights the issuance of the "Guiding Opinions on Financial Support for New Industrialization" by seven departments, aiming to enhance the synergy between industrial and financial policies to promote new industrialization and high-quality financial services [11][12] - The establishment of the "1+6" basic rule system for the electricity market is noted, which aims to standardize the measurement and settlement processes, thereby enhancing market vitality [13][14] - The 2025 World Robot Conference is set to take place in Beijing, showcasing over 1,500 exhibits from more than 200 domestic and international robotics companies, indicating a significant focus on technological advancements in the robotics sector [19][20] Market Overview - The domestic securities market showed mixed performance, with the CSI 1000 index recording the highest increase of 2.5%. The defense and military industry led the sector gains with a rise of 5.9% [3][28] - The report indicates that the central bank's liquidity measures, including a 700 billion yuan reverse repurchase operation, are aimed at maintaining ample liquidity in the banking system [21] - Standard & Poor's reaffirmed China's sovereign credit rating at "A+" with a stable outlook, reflecting confidence in the resilience of the Chinese economy and effective debt management [22][23] Investment Recommendations - The report emphasizes the importance of developing new productive forces, suggesting that companies in artificial intelligence, innovative pharmaceuticals, robotics, low-altitude economy, deep-sea technology, and controllable nuclear fusion may yield excess returns [36] - It also recommends focusing on boosting consumption, particularly in new consumption sectors, home appliances, and automobiles, as consumer spending is expected to increase [36] - High-dividend assets are highlighted as a stable long-term investment option, while gold is recommended as a long-term investment opportunity due to its appeal as a safe-haven asset amid geopolitical tensions and global economic uncertainties [36]

医药外包概念、生物医药、创新药等板块纷纷下滑。凯莱英（06821.HK）跌11.58%，康龙化成 （03759.HK）跌3.77%，和黄医药（00013.HK）跌15.99%，再鼎医药（09688.HK）跌10.47%，百济神 州（06160.HK）跌6.14%。 脑机接口概念股也表现不佳，南京熊猫电子股份（00553.HK）跌10.4%，心玮医疗-B（06609.HK）跌 5.68%，微创脑科学（02172.HK）跌3.47%。 8月8日，港股三大指数集体回调。其中，恒生指数跌0.89%，国企指数跌0.96%，恒生科技指数跌 1.56%。 分板块看，芯片、机器人概念等板块普遍回调。中芯国际（00981.HK）绩后跌8.19%，优必选 （09880.HK）跌5.06%，微创机器人-B（02252.HK）跌3.46%，贝克微（02149.HK）跌3.43%，上海复 旦（01385.HK）跌2.87%。 消息面，中芯国际 Q2营收同比增长16.2%，环比下降1.7%；净利润同比下降19%，不及市场预期，Q3 指引较为谨慎。此外，8月8日至12日，2025年世界机器人大会在北京盛大举行。分析称，这场备受瞩目 的产业 ...

Market Overview - The A-share market opened lower with all three major indices declining: Shanghai Composite Index down 0.13%, Shenzhen Component Index down 0.19%, and ChiNext Index down 0.2% [1] Sector Performance - The brain-computer interface sector opened high, with notable gains: Innovation Medical reached the daily limit up, and Sanbo Brain Science increased over 6%. This follows the issuance of implementation opinions by the Ministry of Industry and Information Technology and six other departments to promote the innovative development of the brain-computer interface industry [1] - Gold stocks experienced a broad increase, with Laishen Tongling rising over 3%, and both Zhaojin Mining and Chifeng Jilong Gold increasing over 2%. The New York gold futures initially touched a historical high of $3534.1 per ounce [1] - The medical device sector continued its upward trend from the previous day, with Sino Medical and Shangrong Medical reaching the daily limit up. The 11th batch of centralized procurement work has recently commenced [1] - The military equipment sector opened lower, with Beifang Changlong dropping over 9% and Hengyu Xintong falling over 5% [1]

Market Overview - Oil prices fell sharply due to OPEC+ decision to increase production by 547,000 barrels per day starting in September, leading to a decline in WTI crude oil by 2.47% and ICE Brent crude by 2.15% [5][6] - U.S. stock markets, gold, and cryptocurrencies experienced gains, with major U.S. indices rising over 1%, particularly the Nasdaq which increased by over 1.6% [5][6] Oil Market - WTI crude oil closed at $65.69, down $1.64, while ICE Brent crude oil closed at $68.17, down $1.50 [2][4] - Natural gas futures also saw a decline of nearly 3%, closing at $3.001 [2] Stock Market - The Dow Jones increased by 1.00%, Nasdaq by 1.62%, and S&P 500 by 1.16% [6] - Major tech stocks saw significant gains, with Google up 2.82%, NVIDIA up 2.39%, and Apple up 2.18% [7] Cryptocurrency Market - Ethereum surpassed $3,600, with a 24-hour increase of 4.4%, while Bitcoin rose nearly 1.4% [8][9] - The total liquidation in the cryptocurrency market reached $175 million, with $136 million from short positions [10] Gold Market - Gold prices rose above $3,370 per ounce, reaching a peak of $3,385.45, marking the highest level since July 24 [11] Economic Outlook - Expectations for a Federal Reserve interest rate cut have increased significantly, with a probability of 85% for a cut in the September meeting [11] - UBS strategists predict a potential decline in U.S. stock markets in August due to worsening economic data, viewing it as a buying opportunity [12]

格隆汇8月4日｜港股低开高走，恒生科技指数涨幅一度扩大至超1%。军工、黄金、半导体、影视等概 念涨幅居前，华虹半导体涨超6%，中芯国际涨超3%。 ...

恒生科技指数早盘涨超1%，恒生指数现涨0.48%，军工、黄金、半导体、影视等概念涨幅居前。 ...

Group 1 - The article emphasizes that mutual funds should not be viewed as a "get-rich-quick" scheme, highlighting the difference between historical performance and future expectations [5][6] - It suggests categorizing funds into three circles: liquid funds for immediate needs, stable funds for short-term savings, and long-term investment funds for future goals [6][7] - The recommended initial investment strategy is to focus on broad index funds like the CSI 300 and to adopt a regular investment plan (dollar-cost averaging) to mitigate risks [10] Group 2 - The article advises setting a stop-loss threshold to manage investment risks, suggesting a pause in investment if losses exceed 15% [11] - It encourages investors to invest in educational resources before committing significant funds to mutual funds, promoting a gradual investment approach [14][15] - The overall message is to adopt a patient and disciplined investment strategy, emphasizing that slow and steady growth is more sustainable than chasing quick profits [15]

Core Viewpoint - The article discusses the performance of various funds in the context of market trends, emphasizing the importance of understanding both long-term and short-term performance metrics when considering whether to adjust fund allocations [1]. Group 1: Fund Performance Analysis - Long-term performance of a fund may be strong while short-term performance appears weak, suggesting that if the fund manager's strategy and the investor's goals remain unchanged, it may be wise to hold the position [7]. - For funds with poor long-term performance and average short-term results, a thorough analysis is necessary to determine the reasons behind the lackluster performance, which may warrant a change in investment [10]. - Funds that have performed poorly over the long term but show better short-term results require careful evaluation to ascertain whether the performance is due to market trends or the fund manager's strategy [11]. Group 2: Reasons for Poor Fund Performance - A mismatch between the fund's style and current market trends can lead to underperformance, necessitating a review of asset allocation rather than hasty adjustments [12]. - Investors may find themselves in a position of loss if they purchase funds at market peaks, highlighting the importance of timing in investment decisions [14]. - Fund managers may underperform due to lack of diligence or poor stock selection, which can be identified through regular review of fund reports [16][17]. Group 3: Recommendations for Adjusting Fund Allocations - Investors should focus on overall portfolio allocation rather than individual fund performance, as market trends can shift rapidly [24]. - Future potential of investments should be prioritized over past performance when considering adjustments to fund allocations [27]. - Gradual adjustments to fund positions are recommended, allowing for flexibility based on market conditions [30].

纳斯达克综合指数涨幅扩大至0.51%，创历史新高。 ...