This project extracts historical stock prices and quarterly revenue data for Tesla and GameStop using Python and yfinance. It visualizes the relationship between stock price and revenue through interactive Plotly dashboards. The analysis allows for easy comparison of financial performance trends between the two companies over time.

A comprehensive data analysis project that combines API integration and web scraping to extract, process, and visualize financial data for comparative stock analysis. The project demonstrates end-to-end data pipeline development for investment decision support.

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Analysis of historical stock and revenue data for Tesla and GameStop, exploring trends, financial performance, and market behavior through data visualization and statistical insights.

This project focuses on analyzing historical stock and revenue data for major companies to extract insights into financial trends and performance over time. The analysis includes data cleaning, visualization, and dashboard creation to enable interactive exploration of stock prices and corresponding revenue figures.

This a data analysis project comparing Tesla (TSLA) and GameStop (GME) stock performance using Python. Stock price data is extracted using yfinance, and revenue data is collected through web scraping. The project includes data cleaning, visualization, and basic financial insights using pandas and matplotlib.

Python-based financial analysis tool that extracts historical stock and revenue data for Tesla (TSLA) and GameStop (GME) using yfinance and BeautifulSoup to visualize the correlation between market sentiment and fundamental performance.

This project explores the financial performance of Tesla (TSLA) and GameStop (GME) using Python for data extraction, cleaning, and interactive visualization. The analysis includes historical stock prices and quarterly revenues, offering insights into trends up to mid-2021.

In this project, I built an interactive data analysis notebook that visualizes financial trends using Plotly-powered line plots. It extracts, analyzes, manipulates, and visualizes stock and revenue data for Tesla (TSLA) and GameStop (GME), with the goal of gaining insights into their historical performance and financial growth patterns

Tesla & GameStop Stock Analysis using Web Scraping Overview This project extracts and analyzes stock price and revenue data for Tesla (TSLA) and GameStop (GME) using web scraping and Yahoo Finance API. The data is visualized using interactive graphs to study historical trends and financial performance.

Tesla & GameStop Stock Analysis using Web Scraping Overview This project extracts and analyzes stock price and revenue data for Tesla (TSLA) and GameStop (GME) using web scraping and Yahoo Finance API. The data is visualized using interactive graphs to study historical trends and financial performance.Key Features

This project involved conducting a comprehensive analysis of stock price and revenue data for two prominent companies, Tesla and GameStop. The assignment comprised several tasks aimed at extracting, processing, and visualizing data to gain insights into the financial performance of these companies.

Stock Market Analysis & Dashboard Extracted financial data (historical share prices, quarterly revenue) for Tesla, Amazon, AMD, GameStop using Python & web scraping. Created interactive Plotly dashboards to visualize key performance indicators and identify market trends. Project completed in Skills Network Labs & Watson Studio.