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.

Read More
Fundamental Analysis Featured Image

Efficient Fundamental Analysis for Investment Advice with Python

Learn how to perform better fundamental analysis for investment advice with the help of Python. This article covers the use of libraries such as pandas, matplotlib, yfinance, numpy_financial, yahoofinancials, and statsmodels to download financial data, calculate important metrics, fit time-series models, and visualize the data, ultimately saving professionals time and providing more accurate investment advice.

Read More
%d bloggers like this: