Gold Price Direction Prediction Using Machine Learning with Walk-Forward Validation
This study presents a robust machine learning framework for gold price direction prediction using non-overlapping time-series data and walk-forward validation. Unlike prior studies that report overly optimistic results due to temporal leakage and overlapping samples, this work ensures a realistic evaluation by construc...