This project aims to analyze various portfolios based on volatility, returns, risk, and Sharpe Ratio using Python and Pandas concepts.

Quantitative analysis techniques with Python and Pandas to evaluate portfolio performance.

I created a tool (an analysis notebook) that analyzes and visualizes the major metrics of the portfolios across all of these areas, and determine which portfolio outperformed the others. You will be given the historical daily returns of several portfolios: some from the firm's algorithmic portfolios, some that represent the portfolios of famous …

This project focuses on analyzing portfolio returns using Fama-French factors, comparing two distinct investment strategies.

This repository is for me to practice with Pandas to use them in a financial environment.