针对中证1000成分股的投资策略构建,提出了基于支持向量机的多因子融合量价数据选股策略,应用于实时或模拟市场数据的回测中,以评估策略的有效性。本文对基于支持向量机的多因子选股模型进行改进,将量价数据融合到选股模型中,在多因子选股模型筛选出的股票基础上,进一步融合量价数据再次筛选,以期望获得更优的收益。回测结果表明,加入量价数据与未加入量价数据的模型对比,策略收益率提高了4.83%,策略年化收益率提高了11.43%,策略累积收益率与夏普比率显著优于多因子选股策略,最大回撤比之减小或者略高,预测涨跌更为接近实际股票涨跌趋势。实验结果表明:基于支持向量机的多因子融合量价数据选股策略应用在量化投资上,是十分有效的。In response to the construction of investment strategy for the constituent stocks of China Securities 1000, a stock selection strategy with the fusion of data of multi-factor, volume and price based on support vector machine is proposed which is applied to real-time or simulated market data backtesting, in order to evaluate the effectiveness of the strategy. We improve the multi-factor model of stock selection based on support vector machine, integrate the volume and price data into the model of stock selection, and further fuse the volume and price data to screen the stocks selected by the multi-factor model of stock selection to obtain more optimal returns. According to the backtest results, compared with the model with or without the addition of volume and price data and the model, the strategy return rate increases by 4.83%, the strategy annual return rate increases by 11.43%, the strategy cumulative return to sharp ratio is significantly better than that of the multi-factor stock selection strategy, and the maximum retracement ratio decreases or is slightly higher. The improved forecast moves more closely to the actual trend of stock movements. The results show th
随着二次元文化与社交电商的深度融合,用户对个性化消费、互动体验和社群归属感的需求不断提升,传统电商模式在匹配精准度、社交互动和定制化服务方面面临诸多挑战。如何优化用户体验,提升平台运营效率,促进社群生态的稳定发展,已成为行业探索的核心议题。随着智能技术的发展,人工智能的深度应用为二次元社交电商提供了新的解决思路。本文分析传统二次元社交电商的痛点,阐述人工智能赋能二次元社交电商的现实意义,以“智创次元铺”为研究对象,探讨智能化手段对精准推荐、用户互动、内容创作及供应链管理等方面的优化作用,并提出未来发展建议,期望为二次元社交电商行业的创新发展提供有益参考。With the deep integration of two-dimensional culture and social e-commerce, users’ demand for personalized consumption, interactive experience and sense of community belonging continues to increase, and the traditional e-commerce model faces many challenges in matching accuracy, social interaction and customized services. How to optimize the user experience, improve the operational efficiency of the platform, and promote the stable development of the community ecology has become the core topic of industry exploration. With the development of intelligent technology, the in-depth application of artificial intelligence provides a new solution for two-dimensional social e-commerce. This paper analyzes the pain points of traditional two-dimensional social e-commerce, expounds the practical significance of artificial intelligence empowering two-dimensional social e-commerce, takes “Zhichuang Dimension Shop” as the research object, discusses the optimization role of intelligent means in accurate recommendation, user interaction, content creation and supply chain management, etc., and puts forward suggestions for future development, hoping to provide a useful reference for the innovation and development of two-di
在电子商务蓬勃发展的背景下,二次元文化衍生品市场——“谷子经济”,已成为中国消费市场的重要组成部分。本文聚焦电子商务环境中谷子经济的发展路径,系统剖析其品牌授权合作、定制化、跨界联名等多元商业模式,揭示出谷子经济市场规模显著增长的趋势。本研究创新构建谷子经济发展理论框架,阐明电商与谷子经济的内在作用机制,为学界研究提供新视角与理论依据;并通过大量案例分析,总结出实操性策略,为企业开展相关业务提供实践参考。鉴于谷子经济面临知识产权保护、物流配送、产品同质化、消费者售后需求复杂以及政策支持与市场监管不足等问题,本文从强化知识产权保护体系、加强物流合作与创新、推进产品创新与差异化竞争、完善消费者售后服务体系以及争取政策支持与加强市场监管等维度,提出针对性发展策略,旨在推动谷子经济在电商环境下可持续发展,助力二次元文化产业稳健前行。In the context of the booming development of e-commerce, the market for secondary culture derivatives, known as the “goods economy”, has become a significant part of China’s consumer market. This paper focuses on the development path of the goods economy in the e-commerce environment, systematically analyzing its diverse business models such as brand licensing cooperation, customization, and cross-border collaborations, and revealing a significant growth trend in its market size. The study innovatively constructs a theoretical framework for the goods economy, clarifying the internal mechanisms of interaction between e-commerce and the goods economy, and provides a new perspective and theoretical basis for academic research. Through extensive case analysis, it also summarizes practical strategies to offer actionable references for businesses. Given the challenges faced by the goods economy, including intellectual property rights protection, logistics and
