fundamental-stock-analysis

Score and rank stock tickers by fundamental metrics with data quality checks.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/Jaykaijack/openclaw-backup --skill fundamental-stock-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fundamental-stock-analysis
Source: https://github.com/Jaykaijack/openclaw-backup/tree/main/skills/fundamental-stock-analysis
Command: npx skills add https://github.com/Jaykaijack/openclaw-backup --skill fundamental-stock-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a rigorous, repeatable playbook to analyze company fundamentals, score business quality, balance-sheet safety, cash-flow strength and valuation, and rank peers to produce a decisive, fundamentals-based verdict for one or multiple stock tickers.

Core Features & Use Cases

  • Playbook-driven workflow: Enforces input parsing, ticker disambiguation, data collection from filings and reputable aggregators, quick screening, granular scoring, confidence modifiers, and a final verdict.
  • Multi-ticker peer comparison: Analyze each ticker independently then rank peers and select a best pick with clear invalidation triggers and tie-break rules.
  • Data quality & news awareness: Produces a data quality scorecard, flags stale/conflicting metrics as NA, and includes recent relevant news prioritized by source quality.
  • Use Case: Compare AAPL, MSFT, and GOOG on business quality, cash-flow durability, and valuation to pick a top fundamentals-based long-horizon candidate.

Quick Start

Analyze AAPL and MSFT for fundamentals using the playbook and return a scored verdict with confidence, data quality notes, and source attributions.

Frequently Asked Questions about fundamental-stock-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform fundamental equity analysis and rank multiple stocks for a long-term investment thesis?

Fundamental equity analysis scores business quality, balance-sheet safety, cash-flow durability, and valuation across multiple stock tickers, then ranks peers to identify a top fundamentals-based long-horizon candidate with a decisive verdict.

Can I compare AAPL, MSFT, and GOOG to pick the best stock based on cash-flow durability and valuation?

Comparing AAPL, MSFT, and GOOG applies multi-ticker peer ranking to independently analyze each ticker, score fundamentals, apply tie-break rules, and select a best pick with clear invalidation triggers.

What is the best way to score business quality and balance-sheet safety for equity research?

Scoring business quality and balance-sheet safety requires extracting filings and reputable financial data, applying granular scoring with confidence modifiers, and producing a data quality scorecard that flags stale or conflicting metrics.

How does fundamental stock analysis handle conflicting financial metrics or stale data from filings?

Fundamental stock analysis flags stale or conflicting metrics as NA during data collection, generates a data quality scorecard, and applies confidence modifiers to ensure the final verdict reflects source reliability.

Does this fundamental analysis approach work across different regions and investment styles like value or growth?

Fundamental analysis works across regions and investment styles including value, quality, growth, and blend, adapting input parsing and ticker disambiguation to produce scored, peer-ranked verdicts for any equity.

When should I not rely on fundamental stock analysis for my investment decisions?

You should not rely on fundamental stock analysis for direct investment advice, as the playbook produces educational, fundamentals-based conclusions with news-aware outputs and confidence scores rather than actionable trading recommendations.