BNI STOCK DIRECTIONAL TREND IDENTIFICATION USING EXPONENTIAL MOVING AVERAGE METHOD
High stock volatility demands responsive prediction for risk mitigation. Traditional indicators like Simple Moving Average (SMA) suffer from lagging effects due to equal data weighting, while complex machine learning models often cause overfitting and lack interpretability, constituting a notable research gap. This stu...