This dataset contains the weekly closing prices of the NASDAQ Composite Index from 2016 to 2019, sourced using the yfinance library. The data provides a comprehensive view of the NASDAQ market over a four-year period, making it ideal for various financial analyses, including studying stock market trends, volatility, and correlations.
The primary motivation for collecting this dataset is to analyze stock market correlations using mutual information and graph theory. By understanding the relationships between different assets or market sectors, one can gain insights into market dynamics and potential investment strategies. This dataset serves as a valuable resource for financial analysts, data scientists, and researchers interested in exploring market behavior through advanced statistical and machine learning techniques.