Articles

Augmented Dynamic Adaptive Model (ADAM) for Predicting Daily Seasonal Data

September 29, 2025
AISeasonalityData ModelingPredictive AnalyticsBIST 100 IndexTime SeriesMachine LearningTrend Analysis

Utilizing the Augmented Dynamic Adaptive Model (ADAM), researchers take a novel approach to model the BIST 100 index, focusing on coping with daily seasonality. By integrating modeltime's advanced regression capabilities, the approach aims to enhance predictive intervals, crucial for time-sensitive financial markets.

The Essential Weekly Update

Stay informed with curated insights delivered weekly to your inbox.