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AI-Driven Forecasting of Nigeria Daily Crude Oil Prices Using the Integrated ARLAS Framework: Hybrid Statistical–Machine–Deep Learning Model

AI-Driven Forecasting of Nigeria's Daily Crude Oil Prices Utilizing the Integrated ARLAS Framework: Hybrid Statistical–Machine–Deep Learning Model examines how linear models fail to predict Nigeria's highly unstable and nonlinear crude oil price fluctuations. After cleaning and time series conversion, the dataset contains 2,968 daily crude oil prices from October 23, 2009, to September 30, 2024. Exploratory Data Analysis (EDA) and the Augmented Dickey-Fuller (ADF) test confirmed non-stationarity, which was addressed. The ARLAS Framework hybridises ARIMA with LSTM, ANN, and SVR to model linear …