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TickerPulse Research Methodology

We believe financial intelligence software should have zero black-box mystery. Every score, rating, and model estimate published on TickerPulse is explained with its exact mathematical formulation.

1. Stock Quality & Valuation Scoring (v1.0)

Version 1.0 • Effective 2026

The TickerPulse Stock Quality Score evaluates publicly listed companies on a scale of 0 to 100 across four rule-based, source-verified pillars:

Financial Health (30% weight): Measures structural leverage (Debt/Equity), solvency runway, and free cash flow conversion. Debt-free companies earn maximum health points.
Profitability & Margins (30% weight): Return on Equity (ROE > 20%), ROCE, and operating margins benchmarked against industry peer medians.
Growth Trajectory (20% weight): Compounded 3-year YoY top-line revenue expansion and bottom-line PAT growth consistency.
Valuation Attractiveness (20% weight): Trailing P/E, Price to Book (P/B), and Dividend Yield relative to 5-year historical trading envelopes.

2. Crypto Risk Assessment Framework (v1.0)

Version 1.0

TickerPulse strictly avoids subjective token shilling or price target predictions. Our Crypto Risk Engine classifies digital assets into four objective risk bands (Low, Moderate, High, Very High) based on:

  • Order Book Liquidity Depth: Mega-Cap assets (>$500B cap) with active spot ETFs vs illiquid micro-caps.
  • Token Supply Unlock Schedule: Dilution risk from unvested founder or private investor allocations.
  • Smart Contract Decentralization: Years in production without protocol-level security compromises.

3. Purchase Affordability Math (v2.0)

Version 2.0

Our Purchase Simulator tests target item prices against the user's monthly income, essential fixed expenses, liquid emergency runway, and debt burden. It produces actionable verdicts (Comfortable, Manageable, Stretched, High Financial Impact) and calculates the exact weeks of discretionary surplus required to replenish emergency reserves.