Python Financial Data Analysis

Overview This project analyzes historical stock market data using Python to calculate returns and visualize trends. The analysis focuses on comparing the S&P 500 index with NVIDIA stock performance.

Objectives • Calculate daily returns for financial assets • Analyze stock performance relative to the market • Visualize price trends and return distributions

Tools & Libraries • Python • pandas • matplotlib

Data Analysis Performed • Data cleaning and transformation using pandas • Calculation of percentage returns • Time-series visualization of stock prices • Comparative analysis of market and individual stock performance

Libraries Used pandas – data manipulation and analysis matplotlib – financial data visualization

Purpose This project demonstrates Python-based financial data analysis techniques commonly used in quantitative finance, financial analytics, and investment research.