Stock Screening

Quantitative stock screener with composite scoring. Discovers candidates via web search, filters by thresholds, scores on growth/value/quality dimensions, and returns a ranked list with actionable picks. Data from SEC EDGAR (financials), Yahoo Finance (market data), and web search (universe discovery).

IMPORTANT: This skill requires running bash run.sh to produce scores. You MUST execute the script and use its JSON output — do not skip it or compute metrics manually. The script returns growth/value/quality scores (0-100) and composite rankings that must appear in the output.

Setup

No dependencies required. All scripts use Python standard library only.

Workflow

Step 1 — Clarify criteria

Before running any script, understand:

• Universe: sector, theme, or broad market?
• Style: growth (high revenue/earnings growth), value (cheap multiples), or quality (high margins)?
• Thresholds: e.g. "revenue growth >20%", "P/E below 25x", "margin >30%"