StockXplore: big data-powered VIKOR system for smarter stock selection

StockXplore: Big Data-Powered VIKOR System for Smarter Stock Selection addresses the challenge of identifying the best stocks when faced with multiple and often conflicting criteria. Stock decision-making is complex, as investors must consider various financial indicators such as profitability, risk, and return potential simultaneously. To overcome this, the study applies the VIKOR Multi-Criteria Decision-Making (MCDM) method, which enables a structured evaluation and fair ranking of stock alternatives. The system processes stock data through normalisation, determines the best and worst values, and calculates three key measures: group utility (S), individual regret (R), and the compromise index (Q). The final outcome is a ranked list of stocks, where the top-ranked option represents the most suitable choice. Findings demonstrate that integrating VIKOR with MCDM produces a transparent, reliable, and data-driven decision support tool that benefits investors, policymakers, and financial analysts in making smarter and more sustainable stock decisions.