机器量化+多资产多策略赋能，平安理财“启元夏树”到期收益夺魁

Core Viewpoint - The article discusses the performance of "fixed income + equity" financial products set to mature in October 2025, highlighting the average annualized yield and the standout performance of specific products, particularly from Ping An Wealth Management [4][5]. Group 1: Product Performance - In October 2025, a total of 66 "fixed income + equity" products from 9 wealth management companies are set to mature, with an average annualized yield of 2.97% [4]. - The top-performing product, "Qiyuan Xiashu Closed No. 2," from Ping An Wealth Management, boasts an annualized yield of 4.76%, making it the only product in this category to exceed 4% [4][5]. Group 2: Investment Strategy - The "Qiyuan Xiashu Closed No. 2" product primarily invests in fixed income assets, with at least 80% allocated to debt instruments, supplemented by convertible bonds and ETF strategies to enhance overall yield [5][7]. - The product employs a machine learning quantitative trading model to capture capital gains, aiming for faster trading responses and yield enhancement [7][8]. Group 3: Series Overview - The "Qiyuan" series is part of Ping An Wealth Management's "Qiyuan Four Seasons" product line, which targets absolute returns through a combination of various strategies tailored to different market conditions [8][9]. - The series includes sub-series focusing on different asset strategies, such as commodity, convertible bonds, and overseas interest rates, aiming to provide a balanced risk-return profile [8][9]. Group 4: Company Strategy - Ping An Wealth Management emphasizes a multi-asset, multi-strategy investment management model, aiming to enhance its asset allocation capabilities and achieve an average annualized yield of 3.46% over the past three years, positioning itself among industry leaders [9]. - The company has recently upgraded its product branding to "An+Xin Stable and Far-reaching," reflecting its commitment to providing stable, liquid, and value-adding financial products for investors [9].