Abstract
This research paper explores the concept of customized fintech investment services, focusing on individualization, diversification, and the construction algorithm of such services. The study highlights the importance of diversification in investment portfolios, emphasizing its role in minimizing risk levels and increasing profitability by including a variety of investment instruments. The paper presents a conceptual description of the construction algorithm for individualized fintech investment services, discussing the methodology and architecture of the proposed system. The model comprises several subsystems, including an input data subsystem for collecting and filtering data, an assessment system for establishing numerical indicators and segmentation, and a recommender system for determining quality indicators and generating personalized investment portfolios. The recommender system considers individual risk preferences and available investment opportunities to provide informed decision-making for users. The paper concludes by highlighting the significance of feedback, analysis, summaries, and reports in enhancing the effectiveness of customized fintech investment services. Overall, this research contributes to the understanding of personalized fintech solutions and their potential to meet the unique needs of investors through individualization, diversification, and a systematic construction algorithm.
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