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A Python project that collects, processes, and analyzes financial data from stockanalysis.com

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AdeniyiAhmod/financial_ratios

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Industry Performance Analysis

Overview

This project aims to analyze the performance of companies within a specific sector using data-driven techniques. By collecting financial data from stockanalysis.com and conducting in-depth analysis, valuable insights into industry trends and dynamics are uncovered. The project utilizes web scraping, data preprocessing, and visualization techniques to extract meaningful insights and draw actionable conclusions.

Features

  • Web scraping: Collect financial data from stockanalysis.com using web scraping techniques.

  • Data preprocessing: Clean and preprocess the collected data to ensure accuracy and consistency.

  • Analysis: Conduct comprehensive analysis of key financial metrics and ratios to assess sector performance.

  • Visualizations: Visualize trends and patterns using plots and charts for better understanding and interpretation.

  • Insights: Derive actionable insights from the analysis to guide investment decisions and strategic planning.

Data Sources

Financial data is collected from stockanalysis.com using web scraping techniques. The website provides comprehensive coverage of financial information for various publicly traded companies.

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