- The report does not contain any specific quantitative models or factors for analysis[1][2][3] - The report primarily focuses on market trends, fund flows, and sector performance, highlighting the increased preference for dividend-paying industries amidst market volatility[5][14][19] - It provides detailed data on fund flows, including net inflows and outflows across various ETF categories such as TMT, financials, consumption, and cyclical manufacturing sectors[33][34][61] - The report also discusses the weekly performance of major indices, sector indices, and individual funds, providing percentage changes and rankings[14][15][20][56][57] - Active equity funds maintained high positions, with average positions slightly adjusted across different fund types[21][24][28] - The report includes information on newly established and issued funds, detailing their types, managers, and issuance scales[63][64][66]

Core Insights - The report emphasizes the importance of the CANSLIM industry rotation strategy, suggesting a focus on sectors such as steel, banking, chemicals, electric power, and construction for investment opportunities [1][4][14] - The CANSLIM composite score has shown strong performance since 2013, with an average RankIC of 11.6% and a monthly win rate of 64.7%, indicating its effectiveness in distinguishing future industry returns [5][31] Industry Rotation Factor Performance - For the period from October 9 to October 17, 2025, factors such as broker stock changes, net inflow of large orders, and analyst upgrades performed well, while volume-adjusted momentum and price-to-book (PB) ratios lagged [2][16] - Year-to-date performance shows that SUE, analyst recognition, and broker stock changes have been strong, while volume-adjusted momentum and public fund holdings have underperformed [2][16] Last Month's Portfolio Performance Review - The industry rotation portfolio yielded a return of -3.56% from October 9 to October 17, 2025, compared to -2.23% for the CITIC first-level industry equal-weight index, resulting in an excess return of -1.33% [3][21] - Year-to-date, the portfolio has returned 14.70%, while the benchmark index returned 17.59%, leading to an excess return of -2.89% [3][21] Current Portfolio Recommendations - The top five industries based on the CANSLIM composite score are steel, banking, basic chemicals, electric power and new energy, and construction [4][23] - The report provides detailed scoring metrics for each industry, highlighting the importance of various dimensions such as industry crowding, analyst expectations, and fundamental conditions [4][25] CANSLIM Industry Rotation Strategy Construction and Performance - The CANSLIM strategy has demonstrated a robust annualized return of 22.94% since 2013, outperforming the industry equal-weight benchmark by 13.80% [5][36] - The strategy's maximum drawdown is 23.75%, with an information ratio of 1.29 and a monthly win rate of 73%, indicating strong risk-adjusted performance [5][36] Strategy Overview - The CANSLIM strategy incorporates multiple dimensions including industry crowding, analyst expectations, fundamental conditions, smart money flows, price momentum, institutional views, and macroeconomic valuation adjustments [26][30] - Each dimension is quantitatively assessed to guide investment decisions, ensuring a comprehensive approach to industry rotation [26][30]

Market Analysis - The A-share market experienced a significant decline, with the Shanghai Composite Index closing at 3839.76 points, down 1.95%, and the Shenzhen Component Index falling 3.04% to 12688.94 points [3] - The overall market saw 4781 stocks decline, marking the highest number of declining stocks in nearly a month, with a total trading volume of 1.95 trillion [3][4] - The current market sentiment is characterized by heightened risk aversion, attributed to escalating uncertainties in US-China trade relations, despite the absence of significant negative news [6] Sector Performance - All major sectors declined, but defensive sectors related to dividends, such as banking and agriculture, experienced smaller declines, with the Agricultural Bank of China rising 1.74% to a record high [6] - High-performing sectors earlier in the year, such as power equipment, electronics, and automotive, saw the largest declines, with drops of 4.99%, 4.10%, and 3.74% respectively [6] Policy and Earnings Outlook - The upcoming fourth quarter is expected to bring a series of policy announcements, including the Fourth Plenary Session and the Central Economic Work Conference, which will clarify policy directions for the following year [6] - Investment opportunities may arise from themes such as "de-involution" in new energy and semiconductors, unified markets in consumption and cycles, and marine economy [6] Bond Market - The bond market showed a continued upward trend, with all government bond futures contracts rising, particularly the 30-year contract which closed at 115.87, up 0.74% [12] - The central bank's operations indicate a relatively ample liquidity environment, with a net withdrawal of 244.2 billion from the market, yet overall funding remains sufficient [12] Commodity Market - Precious metals continued to show strength, with gold prices reaching a new high, peaking at 1001 CNY per gram, driven by risk aversion and policy expectations [12][10] - The energy sector faced downward pressure due to rising oil inventories and production levels, with the US EIA reporting an increase of 3.524 million barrels in crude oil inventories [11] Trading Hotspots - Key investment themes include precious metals driven by central bank purchases and anticipated Fed rate cuts, artificial intelligence due to increased capital expenditures by tech giants, and domestic chip production driven by technological breakthroughs [13] - The consumer sector is expected to benefit from RMB appreciation and market style shifts, while brokerage firms may see increased activity due to active trading and potential changes in trading regulations [13]

1. Report Industry Investment Ratings - Long - term bullish: Stock index, gold, silver, copper, aluminum, nickel (with a relatively advantageous selling put option strategy), lithium carbonate, iron ore (relatively strong in the black metal industry chain), hot - rolled coil (with a short - long position with a stop - loss line), floating glass [3][5][6] - Bearish: Treasury bonds, alumina, polyolefin, cotton [3][5][10] - Cautious bullish: Iron ore, coke, floating glass [6][8] - Cautious bearish: Soda ash [8] - Sideways: Industrial silicon, polycrystalline silicon, rebar, hot - rolled coil, iron ore, crude oil, methanol, rubber [6][8][10] 2. Core Views - The positive factors in the technology sector continue to ferment, and the market sentiment is positive. The technology - growth style of the stock market is expected to continue. The long position of IC can be held. The bond market continues to be weak, and the long - term callback risk is more significant [3]. - For precious metals, although the short - term Fed rate - cut expectations fluctuate, the long - term logic of rising gold and silver prices remains clear. The long positions of gold AU2512 and silver AG2512 can be held, and new orders can be added on dips [5]. - In the non - ferrous metal sector, the supply of copper is tight, and the upward trend may continue before the holiday; the price of aluminum has a solid support, and the short - position pattern of alumina is clear; the fundamentals of nickel are weak, but there is support at the bottom [5]. - For lithium carbonate, the supply and demand are both strong, and there is support at the bottom of the price; industrial silicon and polycrystalline silicon are expected to continue the sideways - weak pattern [6]. - In the steel and ore sector, rebar and hot - rolled coil are in a sideways pattern, and iron ore is relatively strong. The strategies for each variety vary [6][8]. - For coal and coke, the price of coking coal is expected to rise slightly, and the price of coke is in a sideways pattern [8]. - In the soda ash and glass sector, soda ash is expected to fluctuate in a range, and floating glass can be bought on dips [8]. - Crude oil rebounds in the short - term due to geopolitical disturbances, but there is still pressure from oversupply [8]. - Methanol is in a sideways pattern, and the focus is on the change in arrival volume; polyolefin is likely to decline, and the strategy of going long on the L - PP spread can be considered; cotton continues to be weak; rubber is in a sideways pattern [10]. 3. Summaries According to Related Catalogs Financial Futures - The positive factors in the technology sector continue to ferment, and the market sentiment is positive. On Wednesday, the stock index opened low and closed high. The ChiNext Index and the STAR 50 Index reached new stage highs. The turnover of the A - share market was 2.35 trillion yuan (previous value: 2.52 trillion yuan). The electronics, power equipment, and new energy sectors led the gains, while the banking, coal, and communication sectors declined slightly. In the stock index futures, IC and IM rose more than the spot index, and the basis strengthened significantly. The long - term positive factors in the chip and AI chains are numerous, and the technology - growth style of the stock market is expected to continue. The long position of IC can be held [3]. - The bond market continues to be weak, and the redemption concern intensifies. Due to factors such as the end of the month, the capital cost has tightened slightly. The stock market is strong, and the bond - stock seesaw effect has weakened. The bond market's cautious sentiment has further increased, and the long - term callback risk is more significant [3]. Commodity Futures Precious Metals - Gold: Although the short - term Fed rate - cut expectations have cooled marginally, the long - term logic of rising gold prices remains clear. The long - position pattern remains unchanged. Attention should be paid to the US PCE and GDP data and their guidance on the Fed's rate - cut expectations [5]. - Silver: Against the background of the expansion of global government debt and the weakening of the US dollar in the long - term cycle, the long - term upward logic of silver prices is clear. Considering the Fed's rate - cut and the relatively resilient US economy, the upward elasticity of silver prices may be greater than that of gold. The long - position thinking should be maintained [5]. Non - Ferrous Metals - Copper: The supply of copper mines is tight, and the global supply concern has intensified due to the mine accident. The smelting processing fee is expected to be under pressure, and the short - term financial attribute has little impact. The upward trend of copper is expected to continue before the holiday, but the macro - risk of the overseas market during the long holiday should be vigilant [5]. - Aluminum: The price of alumina is under pressure, and the short - position pattern is clear. The price of aluminum has a solid support, and the supply is restricted. The overall trend is easy to rise and difficult to fall [5]. - Nickel: The fundamentals of nickel are weak, but the impact is gradually weakening. There are concerns about the Indonesian mine supply, and there is support at the bottom. Considering the high inventory of refined nickel, the selling put option strategy is relatively advantageous [5]. Energy and Chemicals - Lithium carbonate: The supply and demand are both strong, and the inventory is transferred from the upstream to the demand side. There is support at the bottom of the price, but the expectation of resource - end disturbances is unclear [6]. - Industrial silicon: The supply is increasing, and the demand growth is insufficient. The inventory is increasing, and it is expected to continue the sideways - weak pattern [6]. - Polycrystalline silicon: The fundamentals are relatively loose, the supply - side production control is less than expected, and the demand is difficult to be boosted. The price has limited upside space [6]. - Crude oil: Geopolitical disturbances stimulate a short - term rebound in oil prices, but there is still pressure from oversupply. It is advisable to sell on rallies after the callback demand is released [8]. - Methanol: The arrival volume has decreased, and both ports and factories are destocking. The supply is the main factor affecting the price, and attention should be paid to the change in arrival volume [10]. - Polyolefin: The production enterprise inventory has decreased, but the social inventory has decreased slightly. The futures price of PP has a large premium, and it is likely to decline. The strategy of going long on the L - PP spread can be considered [10]. Steel and Ore - Rebar: The spot price fluctuates slightly, and the trading volume is average. The fundamentals have not improved significantly, and there is pressure to destock in October. It is expected to be in a sideways pattern, waiting for policy or fundamental changes [6]. - Hot - rolled coil: The spot price has risen slightly, and the trading volume is average. The supply and demand are both strong, and the inventory is increasing. It is expected to be in a sideways pattern, and the short - long position with a stop - loss line can be held [6]. - Iron ore: The demand is stable, and the supply may be affected by the negotiation of long - term agreements. It is expected to be relatively strong in the black metal industry chain, and the strategy of selling out - of - the - money put options on the near - month contract can be adopted [6][8]. Coal and Coke - Coking coal: The production recovery of origin mines is slow, and the demand for procurement before the holiday is strong. The price is expected to rise slightly [8]. - Coke: The steel mills still have the willingness to replenish inventory before the National Day, and the coking plants promote the first price increase. The price is in a sideways pattern [8]. Soda Ash and Glass - Soda ash: The market sentiment is boosted by policies, but the fundamentals are bearish. The futures valuation has reflected the existing negative factors, and it is expected to fluctuate between 1250 - 1350. The strategy of short - selling on rebounds can be adopted [8]. - Floating glass: The market sentiment is boosted by policies, the production - sales rate has increased significantly, and the price has risen sharply. The supply and demand are relatively balanced, the valuation is low, and it can be bought on dips [8]. Agricultural Products - Cotton: The supply of new cotton is expected to be abundant, and the demand has improved marginally but is still insufficient compared with the same period last year. The price is expected to continue to be weak [10]. - Rubber: The demand for rubber has increased as expected, and the impact of typhoon weather on rubber tapping is not significant. The supply and demand are both increasing, and the price is expected to be in a sideways pattern. Attention should be paid to the weather changes in the producing areas [10].

Market Performance - On October 15, 2025, the Shanghai Composite Index rose by 1.22% to 3,912.21 points, while the Shenzhen Component Index increased by 1.73% to 13,118.75 points, and the ChiNext Index surged by 2.36% to 3,025.87 points[2][14][18] - The total market turnover was 20,903.87 billion yuan, a decrease of 5,062.00 billion yuan compared to the previous trading day[2][14] Sector and Style Analysis - Among the 30 major sectors, the top performers were Electric Equipment and New Energy (up 2.87%), Automotive (up 2.32%), and Electronics (up 2.12%)[2][21] - The overall market style performance ranked as follows: Growth > Cyclical > Consumer > Financial > Stable[2][21] Fund Flow - On October 15, 2025, the net outflow of main funds was 8.53 billion yuan, with large orders seeing a net outflow of 61.36 billion yuan and small orders experiencing a net inflow of 185.43 billion yuan[3][26] - Major ETFs such as the Huaxia SSE 50 ETF and the Huatai-PB CSI 300 ETF saw significant decreases in turnover, with changes of -10.24 billion yuan and -7.96 billion yuan respectively[3][32] Global Market Trends - On the same day, major Asia-Pacific indices closed higher, with the Hang Seng Index up 1.84% and the Nikkei 225 Index up 1.76%[4][36] - In contrast, European indices showed mixed results, with the German DAX Index down 0.62% and the UK FTSE 100 Index up 0.10%[5][37]

10月15日，A股主要股指集体收高。 上证指数涨超1%，重上3900点；创业板指涨超2%，热门科技权重全线反弹。电力设备及新能源、汽车、保险等板块涨幅居前。 Wind金融终端输入命令 WBUY（万得交易快线） 一次开户，基金市场一键链接 国家统计局发布最新物价数据显示， 9月PPI同比下降2.3%，降幅比上月收窄0.6个百分点；9月核心CPI同比上涨1.0%，为近19个月以来涨幅首次降至 1%。 此外，10月15日早上，人民币兑美元中间价报7.0995，上调26点， 为去年11月来首次升至7.10元上方 。离岸人民币兑美元一度直线拉升超100点。 广发证券认为，本次美国政府停摆对经济数据的影响可能更大，金融市场的不确定性加大，加速资金从美国向非美国家流动。美元指数及人民币汇率反应 较上一轮更迅速，美元贬值、人民币迅速升值。跨境回流对国内流动性的支撑预计持续到明年一季度，但年底可能面临购汇额度等因素短期扰动。 海外方面，当地时间10月14日，美联储主席鲍威尔暗示，可能在未来几个月停止收缩资产负债表，他承认货币市场出现了紧缩的"一些迹象"。 鲍威尔还暗示 ，即使政府停摆严重削弱了美联储对经济形势的掌握程度，但仍 ...

- The report introduces the **Diffusion Index Model** for industry rotation, which has been tracked for four years. The model is based on momentum strategies to capture industry trends. It showed strong performance in 2021 with excess returns exceeding 25% before experiencing a significant drawdown due to cyclical stock adjustments. In 2022, the strategy delivered stable returns with an annual excess return of 6.12%. However, in 2023 and 2024, the model faced challenges, with annual excess returns of -4.58% and -5.82%, respectively. For October 2025, the model suggests allocating to industries such as non-ferrous metals, banking, communication, steel, electronics, and automobiles[26][30] - The **Diffusion Index Model** is constructed by ranking industries based on their diffusion index values, which reflect upward trends. The top six industries as of October 10, 2025, are non-ferrous metals (0.98), banking (0.951), communication (0.909), steel (0.877), electronics (0.823), and automobiles (0.813). The bottom six industries are food and beverage (0.137), consumer services (0.297), real estate (0.407), coal (0.445), transportation (0.457), and construction (0.489)[27][28][29] - The **Diffusion Index Model** achieved an average weekly return of 2.59%, exceeding the equal-weighted return of the CSI First-Level Industry Index by 0.70%. For October, the model's excess return is -0.37%, while the year-to-date excess return is 4.60%[30] - The report also discusses the **GRU Factor Model** for industry rotation, which utilizes minute-level price and volume data processed through a GRU deep learning network. The model has shown strong adaptability in short cycles but struggles in long cycles and extreme market conditions. Since February 2025, the model has focused on growth industries but has faced difficulties in capturing excess returns due to concentrated market themes[32][38] - The **GRU Factor Model** ranks industries based on GRU factor values. As of October 10, 2025, the top six industries are comprehensive (6.64), building materials (5.21), construction (3.55), textile and apparel (3.31), transportation (2.99), and steel (2.88). The bottom six industries are computing (-41.87), food and beverage (-35.34), electronics (-34.87), non-ferrous metals (-28.25), power equipment and new energy (-26.61), and communication (-22.71)[33][36] - The **GRU Factor Model** achieved an average weekly return of 2.88%, exceeding the equal-weighted return of the CSI First-Level Industry Index by 1.01%. For October, the model's excess return is 1.67%, while the year-to-date excess return is -6.55%[36]

Market Liquidity Overview - R007 decreased from 1.6118% to 1.4850%, a reduction of 12.68 basis points; DR007 fell from 1.4376% to 1.4229%, down by 1.47 basis points. The spread between R007 and DR007 narrowed by 11.21 basis points [9][13] - The net inflow of funds this week was 41.556 billion yuan, an increase of 67.826 billion yuan compared to last week. Fund supply was 85.419 billion yuan, while demand was 43.863 billion yuan. Specifically, fund supply increased by 66.981 billion yuan, with net financing purchases rising by 76.935 billion yuan [13][16] Industry Sector Liquidity Tracking - Most sectors in the CITIC first-level industry index rose this week, with the non-ferrous metals sector showing the strongest performance, gaining 4.35%. Coal and steel sectors also saw slight increases. In contrast, the media and consumer services sectors led the declines, falling by 3.58% and 2.81%, respectively [18][21] - The electronic industry received the most net leveraged funds, totaling 7.780 billion yuan, while the coal industry experienced a net outflow of 0.38 billion yuan, marking the most significant reduction [21][22] Style Sector Liquidity Tracking - The stable style index had the highest increase at 2.58%, while the growth style index saw the largest decline at 1.78%. The growth style remains the most active sector, accounting for 59.89% of the average daily trading volume [3][11]

- **Quantitative model and construction method** - **Model name**: Three-dimensional timing framework - **Model construction idea**: The model integrates liquidity, divergence, and prosperity indicators to assess market trends and provide timing signals [7][11][12] - **Model construction process**: 1. **Liquidity index**: Calculated based on market trading volume and other liquidity-related metrics [18] 2. **Divergence index**: Measures the degree of disagreement among market participants [16] 3. **Prosperity index**: Reflects the overall economic and market health, scaled to match the dimension of the Shanghai Composite Index [20] 4. Combine the three indices into a unified framework to evaluate market conditions and predict trends [12] - **Model evaluation**: The model maintains a stable performance in predicting market trends, with historical data showing its effectiveness in identifying periods of market oscillation and downturns [14] - **Quantitative factor and construction method** - **Factor name**: Growth factor - **Factor construction idea**: Measures the growth potential of stocks based on financial metrics such as revenue and profit growth [39][40] - **Factor construction process**: 1. Calculate the growth rate of key financial metrics, such as revenue, profit, and liabilities [42][44] 2. Normalize the metrics by market capitalization and industry to ensure comparability [41] 3. Construct the factor by aggregating the normalized metrics into a composite score [42][44] - **Factor evaluation**: The growth factor demonstrated positive returns, with high-growth stocks outperforming low-growth stocks in the recent week [40][42] - **Factor name**: Size factor - **Factor construction idea**: Evaluates the performance of stocks based on their market capitalization [39] - **Factor construction process**: 1. Divide stocks into groups based on market capitalization [39] 2. Calculate the average return for each group [39] 3. Compare the performance of large-cap stocks against small-cap stocks [39] - **Factor evaluation**: Large-cap stocks outperformed small-cap stocks, with the size factor recording positive returns [39] - **Factor name**: Beta factor - **Factor construction idea**: Measures the sensitivity of stocks to market movements [40] - **Factor construction process**: 1. Calculate the beta of each stock based on historical price movements relative to the market [40] 2. Group stocks into high-beta and low-beta categories [40] 3. Compare the performance of high-beta stocks against low-beta stocks [40] - **Factor evaluation**: High-beta stocks outperformed low-beta stocks, with the beta factor recording positive returns [40] - **Factor name**: Alpha factors (multiple) - **Factor construction idea**: Focuses on growth-related metrics and analyst adjustments to predict stock performance [42][46] - **Factor construction process**: 1. Calculate metrics such as single-quarter ROE growth, revenue growth, and analyst forecast adjustments [42][46] 2. Normalize these metrics by market capitalization and industry [41] 3. Aggregate the metrics into individual alpha factors [42][46] - **Factor evaluation**: Alpha factors such as single-quarter ROE growth and analyst forecast adjustments showed strong performance, particularly in small and mid-cap stocks [46][47] - **Model backtesting results** - **Three-dimensional timing framework**: Historical performance indicates stable prediction of market oscillations and downturns [14] - **Factor backtesting results** - **Growth factor**: Weekly long-side excess return of 0.42% [40] - **Size factor**: Weekly long-side excess return of 1.57% [39] - **Beta factor**: Weekly long-side excess return of 1.08% [40] - **Alpha factors**: - Single-quarter ROE growth (considering quick reports and forecasts): Weekly excess return of 1.61%, monthly excess return of 10.17% [44][47] - Analyst forecast adjustment (np_FY1): Weekly excess return of 7.14% in CSI 300, 5.60% in CSI 500, 9.54% in CSI 1000, and 4.19% in CSI 2000 [47] - Single-quarter ROE growth (report): Weekly excess return of 7.47% in CSI 300, 3.84% in CSI 500, 8.11% in CSI 1000, and 3.09% in CSI 2000 [47]

- The report includes six quantitative stock selection strategies: multi-strategy stock selection, extreme style high BETA stock selection, "dividend+" preferred stock strategy, moving average trend strategy, sentiment price-volume strategy, and STAR Market strategy[20][21][22] - **Multi-strategy stock selection**: This strategy combines four sub-strategies (value stocks, growth stocks, quality stock selection, and distressed stock clearing) using traditional risk parity and momentum-optimized risk parity to adjust weights. The weights are based on the past 12 months' risk characteristics and 80-day momentum rank sorting. In October 2025, the quality stock selection strategy had the highest weight at 35.71%, while the value stock strategy had the lowest at 15.61%[22][23][27] - **Extreme style high BETA stock selection**: This strategy divides non-ST stocks into four groups (large-cap growth, large-cap value, small-cap growth, small-cap value) based on market capitalization and growth-value criteria. It uses specific factors like low turnover, low volatility, and high dividend yield for large-cap value stocks, and profitability and expected net profit factors for large-cap growth stocks. For small-cap value stocks, it employs low volatility and reversal factors, while for small-cap growth stocks, it uses expected profit growth and turnover rate factors. In October 2025, the large-cap value strategy had the highest weight at 50%, while the small-cap growth strategy had the lowest at 17.29%[45][47][48] - **"Dividend+" preferred stock strategy**: This strategy enhances traditional dividend strategies by selecting stocks with high dividend yields from the CSI 800 and CSI 1000 indices. It incorporates factors like volatility, ROE, valuation, and profit growth. The October 2025 portfolio included 30 stocks, with an average market capitalization of 1320.14 billion RMB, concentrated in the banking sector (40%) and utilities (16.7%)[75][76][79] - **Moving average trend strategy**: This strategy uses the relative position of moving averages to represent trend and reversal states. It calculates the trend strength factor as "(20-day moving average - 240-day moving average) / 20-day moving average" and selects stocks from the CSI 800 index. The October 2025 portfolio included 33 stocks, with an average market capitalization of 1794.32 billion RMB, concentrated in the oil and petrochemical sector (29.23%) and communication (19.11%)[107][108][109] - **Sentiment price-volume strategy**: This strategy combines price-volume resonance factors with market sentiment scoring (LWMA240). It adjusts factor scoring based on sentiment scores and avoids excessive price-volume resonance. The October 2025 portfolio included 50 stocks, with an average market capitalization of 409.69 billion RMB, concentrated in electronics (20%), automotive (16%), and communication (12%)[131][136][137] - **STAR Market strategy**: This strategy focuses on the STAR Market, emphasizing factors like analyst expectations, cash flow, valuation, volatility, and trend breakthroughs. It excludes stocks with low expectations, high volatility, and high price-to-cash flow ratios. The October 2025 portfolio included 30 stocks, with an average market capitalization of 457.35 billion RMB, concentrated in electronics (76.12%)[156][159][163] - **Performance results**: - Multi-strategy stock selection: September 2025 absolute return -0.38%, relative return -2.95%; annualized excess return since 2017: 13.68%, IR: 1.55[30][41][44] - Extreme style high BETA stock selection: September 2025 absolute return -3.28%, relative return -5.77%; annualized excess return since 2011: 21.01%, IR: 2.27[62][68][74] - "Dividend+" preferred stock strategy: September 2025 absolute return 0.83%, relative return -1.77%; annualized excess return since 2011: 10.93%, IR: 1.09[85][97][102] - Moving average trend strategy: September 2025 absolute return 0.60%, relative return -1.99%; annualized excess return since 2016: 13.40%, IR: 0.93[116][123][129] - Sentiment price-volume strategy: September 2025 absolute return 1.54%, relative return -1.08%; annualized excess return since 2014: 17.94%, IR: 1.13[143][151][155] - STAR Market strategy: September 2025 absolute return 10.92%, relative return -0.5%; annualized excess return since 2020: 24.62%, IR: 1.28[163][170][175]