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IBM Python Project for Data Science- StockSight: Data-Driven Investment Insights

Welcome to StockSight, your go-to repository for extracting, analyzing, and visualizing financial data from popular stocks like Tesla, Amazon, AMD, and GameStop. StockSight is your toolbox for uncovering valuable insights from the world of stocks.

Project Overview

In this project, we dive deep into the financial world, leveraging Python libraries and web scraping techniques to collect historical share prices and quarterly revenue reports from a variety of sources. Our goal is to provide a comprehensive and data-driven view of these stocks, enabling investors to identify patterns and trends that can inform their investment strategies.

Key Features

  • Data Extraction: We use Python libraries and web scraping to gather up-to-date financial data from diverse sources, ensuring our analysis is based on the latest information.
  • Comprehensive Analysis: Dive into historical share prices and quarterly revenue reports to gain a thorough understanding of each stock's performance.
  • Data Visualization: We don't just stop at numbers. StockSight offers interactive dashboards and visualizations that make it easy to spot trends and patterns.
  • Stocks of Interest: Our primary focus is on Tesla, Amazon, AMD, and GameStop. These are some of the hottest stocks in the market, and we're here to help you navigate their complexities.

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