With the increasing complexity of financial markets, the role of investment decision support systems in risk management is becoming increasingly important. This article explores the construction and optimization of investment decision support systems, with a focus on the system architecture of computer technology, including the framework application and analysis of databases, cloud data, and big data. The main focus is on data analysis input processing and storage, data analysis processing, and decision-making. In the field of risk prediction using artificial intelligence and machine learning, real-time processing and stream computing techniques, as well as optimization of decision support modules, were explored to achieve faster response and feedback of decisions. Research has shown that on the basis of computing resource allocation and optimization, the response speed and decision accuracy of investment decision support systems can be effectively improved.

Chenyang An. Construction and Optimization of Investment Decision Support System for Risk Management. International Journal of Social Sciences and Economic Management (2025), Vol. 6, Issue 2: 154-161. https://doi.org/10.38007/IJSSEM.2025.060217.

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