Methodology

At Bullishbeat, our goal is to provide comprehensive financial analysis and insights for publicly traded companies. Our methodology is designed to ensure that our analysis is accurate, reliable, and actionable for investors, researchers, and anyone interested in understanding the financial performance of these companies.

The methodology consists of the following key steps:

1. Data Collection: We leverage Polygon.io, a leading provider of financial data, to collect extensive information on companies from over 200 exchanges and markets globally. This includes real-time and historical data on key financial metrics and ratios. Learn more about our data sources and collection process.
2. Data Processing and Preparation: The raw data undergoes a rigorous cleaning and transformation process to ensure consistency, accuracy, and completeness. We harmonize naming conventions, fill in missing values with industry averages, and calculate derived financial ratios based on established formulas. Explore our data processing and preparation techniques.
3. Performance Normalization: To enable meaningful comparisons across companies, industries, and regions, we normalize the financial ratios using a statistical technique called Z-score calculation. This process adjusts the ratios based on industry benchmarks, allowing us to evaluate a company’s performance relative to its peers. Understand our normalization approach.
4. Financial Ratio Analysis: We analyze a comprehensive set of financial ratios, including profitability, efficiency, cash flow, debt, and valuation metrics. These ratios provide insights into a company’s financial health, operational efficiency, and growth potential. Discover the key financial ratios we analyze.
5. Peer Comparison and Benchmarking: By comparing a company’s normalized financial ratios to its industry peers, we can identify strengths, weaknesses, and potential areas for improvement or concern.
6. Reporting and Visualization: Our analysis is presented in a clear and accessible format, leveraging data visualization techniques to communicate insights effectively.

Throughout the process, we maintain a strong emphasis on data integrity, transparency, and continuous improvement. Our methodology is regularly reviewed and updated to incorporate new techniques and best practices in financial analysis.

By following this rigorous methodology, we strive to deliver high-quality financial analysis that empowers our readers to make informed decisions and stay ahead of the curve in the dynamic world of finance.

To learn more about the specific aspects of our methodology, explore the following subpages:

• Data sources and Collection
• Analyzing Financial Instruments: Approach and Applications
• Quantative Z-score module
• Data Processing and Normalization