A new model called Augmented Real-Time GARCH was created to predict volatility and volatility of volatility in financial markets. This model improves on previous ones by considering changes in volatility over time. By analyzing real data, researchers found that this model can better predict future volatility compared to older models. The results show that the volatility of returns follows a specific pattern, and the model can accurately forecast these changes. Overall, this new approach helps investors make more informed decisions about market trends.