数据与研究

canslim-screener

tradermonty/cla…g-skills

Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.

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安装命令

npx skills add https://github.com/tradermonty/claude-trading-skills --skill canslim-screener

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)