Discover how to use machine learning algorithms to optimize your investment portfolio using a mean-variance approach. Learn how to download stock price data from Yahoo Finance, perform mean-variance optimization with a linear regression model, and choose the best model using cross-validation. Achieve better performance and reduce risk in your investment portfolio with machine learning.
Learn how to install libraries and use them to analyze stock data in Python and R. This article breaks down the steps needed to install and use libraries like yfinance and matplotlib in Python and yahoo.finance and ggplot2 in R. You will also find functions with explanations for retrieving and plotting stock data in both languages.
This article demonstrates how to use R-Project and the “quandmod” package to visualize online financial data from Yahoo through systematicportfolio.com. Avoid the hassle of searching for hours on the internet or paying for updated charts.
