What problem does it solve?
Provides a structured, evidence-based framework for analyzing individual stocks so analysts and AI agents produce clear, source-cited conclusions that separate technical and fundamental signals and explicitly report risks and uncertainties. It enforces transparency about assumptions, avoids presenting analysis as guaranteed returns, and sets rules for scope, evidence, and output format.
Core Features & Use Cases
- Structured Analysis Workflow: Define analysis purpose and time horizon up front, collect evidence, separate technical and fundamental analyses, and summarize trends, volume/volatility, comparisons, and key risks.
- Evidence and Methods Rules: Require source citations or calculation basis for all numeric claims, mark unverified assumptions, and demand clear distinction between technical and fundamental findings.
- Output and Verification: Present the conclusion first, support it with bullet-pointed evidence, list major risks separately, and end with practical next steps or missing-data checks.
- Use Case: Produce an investment review for a mid-term buy decision that includes valuation ratios with sources, chart-based trend summary, sector-relative context, and a ranked list of company-specific and macro risks.
Quick Start
Ask the skill to analyze Company XYZ for a mid-term investment review, separate technical and fundamental findings, cite sources for all figures, and list the top three risks with recommended next steps.