canslim-screener
CommunityRank CANSLIM stocks with confidence.
Finance & Accounting#data analytics#ranking#market direction#stock screening#canslim#institutional ownership
Authortradermonty
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This CANSLIM screener helps investors identify high-conviction growth stocks by applying William O'Neil's CANSLIM framework, filtering for earnings momentum, growth consistency, price action near highs, and market direction.
Core Features & Use Cases
- Phase 2 enhancements: adds S (Supply/Demand) and I (Institutional) signals to improve filtering; Phase 3 will include L (Leadership) for full CANSLIM.
- Automated ranking: computes composite CANSLIM scores, identifies the weakest component, and outputs ranked top candidates.
- Report generation: produces machine-readable JSON and human-friendly Markdown reports for quick review and portfolio planning.
- Use cases include screening a 40-stock universe, backtesting across bull/bear markets, and building execution-ready watchlists.
Quick Start
To run the canslim-screener, install Python 3.7+, provide a Financial Modeling Prep API key, and execute the screening script. Then review the generated JSON/Markdown reports for top CANSLIM candidates.
Dependency Matrix
Required Modules
requestsbeautifulsoup4lxml
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: canslim-screener Download link: https://github.com/tradermonty/claude-trading-skills/archive/main.zip#canslim-screener Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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