The article analyzes and predicts the closing price of commodity indices using a model called ARIMA. By studying historical data, investors can reduce the gap between market behavior and their knowledge. ARIMA is a method used to understand past data and forecast future trends. The study focuses on the past 5 years of time-series data to predict the future direction of indices.