Group 1 - The establishment of Shenzhen Junxing Private Securities Fund Management Co., Ltd. was completed, with a registered capital of 10 million yuan and 7 full-time employees [1] - Wang Pei, the legal representative and general manager, holds 60% of the shares and has a background as a fund manager at previous firms [1] - In 2023, Wang Pei was involved in a labor dispute with his former employer, which led to arbitration [1] Group 2 - As of October 31, 2025, 91.33% of the 10,969 private funds achieved positive returns, with an average return rate of 24.32% [2] - Stock strategies led the performance with an average return of 29.52%, and 92.73% of products in this category were profitable [2] - Quantitative long strategies outperformed with an average return of 36.76% and a 96.52% positive return rate [2] Group 3 - Combination funds showed strong profitability stability, with 96.85% of products yielding positive returns [3] - Bond strategies maintained a conservative approach, achieving an average return of 8.77% but with a 90.09% positive return rate [3] Group 4 - Commodity market volatility posed challenges for futures and derivatives strategies, which had an average return of 13.02% and a positive return rate of 82.43% [4]

2025年以来，A股呈现震荡上行的慢牛格局，债券市场在政策呵护下于中后阶段迎来修复行情，商品期 货市场则整体分化显著，其中股指期货与贵金属表现尤为突出。 在此背景下，私募基金今年整体业绩亮眼。私募排排网数据显示，截至2025年10月31日，全市场10969 只私募基金中，91.33%的产品实现正收益，平均收益率达到24.32%。 多资产策略凭借跨类别配置优势，以19.71%的平均收益率位列第二，正收益产品占比为91.61%。该策 略在年内适时提升股票资产配置，有效捕捉权益市场上涨红利，同时借助债券、商品等多资产布局分散 了单一市场风险。 组合基金展现出较强的盈利稳定性，正收益产品占比高达96.85%，在476只产品中仅15只出现亏损，但 17.86%的平均收益率略低于多资产策略。 股票策略中，量化多头策略以36.76%的平均收益率和96.52%的正收益占比成为赢家，其收益率不仅显 著高于股票策略整体水平。主观多头策略虽以29.72%的收益率不及量化多头策略，不过部分深耕科技 成长赛道的主观产品凭借对产业趋势的精准判断，实现不菲收益。股票多空和市场中性策略则因对冲机 制压制了上行空间，平均收益率分别为18.29 ...

Core Viewpoint - The article emphasizes the strong performance of the Chinese A-share market since April, highlighting a "slow bull" market characterized by significant gains, particularly in the context of private equity fund strategies to capitalize on this trend [2]. Private Equity Strategies Subjective Long Strategy - This strategy benefits directly from the bull market, allowing fund managers to select stocks with high potential for returns, thus achieving significant elasticity in a rising market [3]. - The core logic involves deep value discovery, where fund managers identify undervalued stocks through thorough research, aiming for substantial price appreciation [5]. - Flexibility in position management allows fund managers to adjust stock holdings based on market conditions, maximizing gains during bullish phases [6]. - The strategy aims for significant excess returns (Alpha), outperforming market averages, especially evident in past bull markets where it significantly outperformed the CSI 300 index [7][8]. Quantitative Long Strategy - This strategy utilizes algorithm-driven approaches to capture market uptrends, reducing the risk of missing out on gains due to subjective errors by fund managers [14]. - It combines market beta returns with stable alpha returns, benefiting from increased trading activity and liquidity in a bull market [14]. - Various sub-strategies exist within quantitative long strategies, catering to different risk profiles, from conservative to aggressive investors [15][16]. Macro Strategy - Macro strategies adapt to economic cycles, allowing for flexible asset allocation across stocks, bonds, commodities, and currencies to capture market trends while hedging risks [20]. - In a bull market, these strategies can enhance returns through diversified exposure while mitigating potential downturns [21]. - Performance data indicates that macro strategies have yielded an average return of approximately 13.93% this year, with top-performing funds highlighted [21]. Composite Strategy - Composite strategies employ multiple investment strategies simultaneously, achieving a synergistic effect that enhances overall returns while managing risk [23]. - They provide diversified income sources, reducing reliance on any single market or asset, thus smoothing overall volatility [24]. - Performance data shows an average return of about 17.82% for composite strategies this year, with leading funds identified [24].