Modern Fundamental Analysis: The B&F Rules-Based Methodology

In an era dominated by high-frequency trading and social media sentiment, the "Quality" of a business has become a secondary concern for many investors. Stock prices frequently decouple from their underlying financial reality, creating a market saturated with noise.

Bullish & Foolish was built to cut through that noise. Our engine does not care about price targets, analyst upgrades, or rumors. It cares about SEC filings. This whitepaper outlines the architectural framework we use to quantify the "Quality" of a public company.

I. Data Ingestion: The SEC EDGAR Backbone

Most financial platforms rely on third-party data aggregators. This creates a "game of telephone" where critical nuances are lost in translation. We bypass these middlemen.

II. Sector-Aware Normalization

A fundamental flaw in many screening tools is the "one-size-fits-all" approach. Comparing the Price-to-Earnings (P/E) ratio of a software company to a regional bank is intellectually dishonest.

The B&F Framework uses SIC (Standard Industrial Classification) mapping to apply specialized scoring weights:

• Tech/SaaS: Heavily weighted toward FCF Margin, Revenue Growth, and Gross Margin.
• Biotech: Decoupled from traditional profitability; weighted toward Cash Runway and Dilution Rates.
• Industrial/Manufacturing: Weighted toward Asset Efficiency, ROA, and Inventory Turnover.

III. The "Disqualifier" Logic (Filing Intelligence)

Great numbers can hide bad actors. Our scorecard includes "Critical Disqualifiers" - signals that act as a weight on the total score regardless of how high the revenue growth is.

If a company shows 100% growth but has a Going Concern Warning or a Late Filing (NT 10-Q), the system applies a sector-adjusted penalty. We prioritize survival over theoretical growth.

IV. Transparency as a Feature

We believe in "Show Your Work." Every score generated by our engine is decomposable. By visiting any ticker page, investors can see exactly which rules were passed and which were failed.

Our goal is not to tell you *what* to buy, but to provide a consistent, data-driven lens through which to view the market.