An Introduction to Trend Analysis with SARIMA Model in Python Featured Image

An Introduction to Trend Analysis with SARIMA Model in Python

In this article, we will analyze the stock data of Apple Inc. (AAPL) using time series analysis and SARIMA modeling. We will use Python libraries such as pandas, matplotlib, statsmodels, and pmdarima to get historical stock data, check for stationarity, decompose the data, and fit a SARIMA model. This analysis can help investors make informed decisions regarding AAPL stock.

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