Demonstrates effective investment recommendations and price forecasting in gold investment, implying enhanced decision-making accuracy.
Gold investment remains one of the most complex domains in financial markets, characterized by volatile price movements driven by multifaceted economic indicators and geopolitical dynamics. Traditional investment advisory systems often lack the predictive accuracy and transactional security required to support confident, datadriven decision-making. This paper presents an AI-powered Block chain-Integrated Gold Investment Advisor and Prediction System that addresses these critical challenges through the convergence of deep learning and decentralized ledger technology. The proposed system employs Long Short-Term Memory (LSTM) networks to model temporal dependencies within historical gold price data, enabling the generation of robust short- and long-term price forecasts. Derived from these predictive outputs, the system delivers intelligent, real-time investment recommendations that guide users in identifying optimal buy and sell opportunities. To complement its analytical capabilities, block chain technology is integrated as a secure and decentralized infrastructure for recording digital gold ownership and transaction histories, ensuring immutability, auditability, and resistance to fraudulent manipulation. The unified architecture bridges the gap between predictive financial analytics and trustworthy asset management, offering a scalable and user centric platform for modern digital gold investment. Experimental evaluations demonstrate the system’s forecasting accuracy and the effectiveness of its recommendation engine, affirming its potential
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India et al. (2026) studied this question.
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