#AIImpactOnForex Detecting Forex-Crypto Market Correlation Using Graph Networks This approach involves leveraging graph networks to analyze and uncover correlations between the forex (foreign exchange) and cryptocurrency markets. By representing currencies and crypto assets as nodes and their relationships (such as price movements or statistical dependencies) as edges, graph-based models like Graph Neural Networks (GNNs) can capture complex, non-linear interdependencies. These networks can process dynamic market data, enabling the detection of hidden patterns, temporal shifts, and evolving correlations. The method enhances traditional correlation analysis by incorporating spatial and temporal dimensions, making it a powerful tool for market prediction, risk assessment, and portfolio optimization.