canslim-screener

Originally fromnicepkg/ai-workflow
Installation
SKILL.md

CANSLIM Stock Screener - Phase 3 (Full CANSLIM)

Overview

This skill screens US stocks using William O'Neil's proven CANSLIM methodology, a systematic approach for identifying growth stocks with strong fundamentals and price momentum. CANSLIM analyzes 7 key components: Current Earnings, Annual Growth, Newness/New Highs, Supply/Demand, Leadership/RS Rank, Institutional Sponsorship, and Market Direction.

Phase 3 implements all 7 of 7 components (C, A, N, S, L, I, M), representing 100% of the full methodology.

Two-Stage Approach:

  1. Stage 1 (FMP API + Finviz): Analyze stock universe with all 7 CANSLIM components
  2. Stage 2 (Reporting): Rank by composite score and generate actionable reports

Key Features:

  • Composite scoring (0-100 scale) with weighted components
  • Finviz fallback for institutional ownership data (automatic when FMP data incomplete)
  • Progressive filtering to optimize API usage
  • JSON + Markdown output formats
  • Interpretation bands: Exceptional+ (90+), Exceptional (80-89), Strong (70-79), Above Average (60-69)
  • Bear market protection (M component gating)
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