Core Viewpoint - The stock market experienced a broad rally in August, but there was significant divergence among individual stocks, leading to a general decline in excess returns for quantitative strategies. Only 20.83% of the 696 quantitative long products achieved positive excess returns in August [2][3]. Summary by Sections Market Performance - In August, the quantitative long strategies saw a decline in excess returns, particularly after the second week, when technology stocks like Yizhongtian, Hanwujing, and Industrial Fulian became the main drivers of market gains, while other sectors lagged [2][3]. - The average excess return for quantitative long products was -2.28% for the month, with only 145 out of 696 products achieving positive excess returns [3]. Weekly Performance Breakdown - **Week 1**: Average excess return of 0.81%, with 84.20% of products achieving positive excess [3]. - **Week 2**: Average excess return of -1.06%, with only 21.98% of products achieving positive excess [3]. - **Week 3**: Average excess return of -0.61%, with 23.85% of products achieving positive excess [3]. - **Week 4**: Average excess return of -1.99%, with only 12.21% of products achieving positive excess [3]. Notable Products - Despite the overall decline, 20 products managed to achieve positive excess returns for all four weeks in August, including "Mingyue Songjian Zhaozhao 1" managed by Huang Chen and "Nianjue Lianzhen Quantitative Selected Excellent 1" managed by Wang Xiao [3][4]. - The top-performing product in August was "Nianjue Lianzhen Quantitative Selected Excellent 1," which achieved a significant excess return, outperforming other quantitative long products [9]. Performance by Fund Size - **Over 100 Billion**: 51 products achieved positive excess returns, with a total excess return of -1.69% [5][10]. - **50-100 Billion**: 20 products achieved positive excess returns, with a total excess return of -1.35% [10][11]. - **20-50 Billion**: 9 products achieved positive excess returns, with a total excess return of -2.53% [13]. - **10-20 Billion**: 14 products achieved positive excess returns, with a total excess return of -2.57% [16]. - **5-10 Billion**: 19 products achieved positive excess returns, with a total excess return of -2.55% [18]. - **0-5 Billion**: 32 products achieved positive excess returns, with a total excess return of -3.02% [20]. Key Players - Mingyue Songjian Zhaozhao 1 and Nianjue Lianzhen Quantitative Selected Excellent 1 were highlighted for their strong performance in August [4][9]. - Mingyue Investment and Mengxi Investment were noted for their significant number of products achieving positive excess returns [8][9].

Core Viewpoint - The article highlights the increasing integration of AI in quantitative private equity firms in China, showcasing the significant advancements and performance improvements achieved through AI technologies in investment strategies [2][5][9]. Group 1: Company Developments - NianKong Technology has collaborated with Shanghai Jiao Tong University to submit a research paper on large language models, indicating its commitment to AI research [2]. - The company has established Shanghai QuanPin Siwei Artificial Intelligence Technology Co., Ltd. to focus on cutting-edge AI research [2]. - NianKong Technology has fully replaced traditional statistical arbitrage strategies with deep learning-based machine learning algorithms across all its stock strategy products [2]. Group 2: Performance Metrics - NianKong Technology's quantitative products have shown impressive performance, with an average return of ***% over the past year [2]. - Among the 15 billion AI quantitative private equity firms, 13 have reported products with performance data, achieving an average return of 29.91% over the past year [7]. - The average returns for these firms over three years and five years are 41.15% and 117.06%, respectively [7]. Group 3: Industry Trends - The number of billion-dollar quantitative private equity firms in China has reached 39, with 15 actively engaging in AI-related investments [3]. - The trend of integrating AI into quantitative investment strategies has been accelerated since the emergence of DeepSeek, a significant AI model in the industry [4]. - The application of AI technologies is seen as a key factor for survival and competitiveness in the quantitative investment sector [25].