#AIImpactOnForex AI Using Random Forests for Predicting Currency Prices Artificial Intelligence (AI) techniques, like Random Forests, are increasingly used for predicting currency prices in financial markets. A Random Forest is an ensemble machine learning method that builds multiple decision trees and combines their outputs to improve prediction accuracy and reduce overfitting. In currency trading, Random Forests can analyze vast historical datasets, including price trends, economic indicators, and geopolitical events, to identify patterns and forecast future price movements. Their ability to handle non-linear relationships and noisy data makes them particularly suitable for the volatile and complex forex market. While powerful, the success of Random Forest models depends on the quality of input features and proper tuning of model parameters.