Rapid economic, technological, and cultural developments have turned risky markets, such as gold, into dynamic and complex investment platforms that have attracted the attention of investors and researchers. In Iran, the gold market has a special place due to its liquidity, intrinsic value, and safe haven role, but it faces challenges such as currency fluctuations, inflation, and sanctions. This study, using a qualitative approach based on data-driven theory, has developed a comprehensive paradigm model for analyzing investment behavior and designing innovative strategies. Data were extracted from interviews with 12 experts (4 professors and 8 specialists) with purposive sampling and analyzed in MAXQDA (open, axial, selective coding), which revealed 85 codes and 18 categories (causal, contextual, intervening, axial category, strategies, consequences). The model reveals the interaction of psychological, economic, technological, and cultural factors in investment behavior. Proposals include investing in digital platforms for online tracking, strengthening environmental education for investors, and establishing regular mechanisms for coordinating with stakeholders. This model, as a homegrown solution, could help Iranian customs achieve a competitive position in international trade.