Gold_Close_Price_Forecast

In this analysis, I used an ARIMA (1, 1, 1) model to forecast future gold closing prices based on historical data. After preparing and cleaning the dataset, I fit the ARIMA model to account for trends and any seasonality present in the time series. The model seemed to fit the data well, with statistical measures like AIC (1545.596) and BIC (1557.304) confirming its accuracy.

I then forecasted the next 30 days of gold prices, plotting both the predicted values and confidence intervals. The forecast suggests a relatively stable trend, with the confidence intervals showing the potential range for future price movements.

Overall, I feel this model gives a reliable short-term forecast, helping to anticipate fluctuations based on historical trends.