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parallax-AI-greenblatt

Rank US equities by Greenblatt's Magic Formula using ROC and earnings yield.

3|3|Updated Mar 27, 2026
Search Tags:#parallax#roc#stock-ranking#magic-formula#greenblatt#earnings-yield#universe-screening
One-click install
npx skills add https://github.com/bencharoenwong/parallax-workflows --skill parallax-ai-greenblatt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallax-AI-greenblatt
Source: https://github.com/bencharoenwong/parallax-workflows/tree/main/skills/AI-greenblatt
Command: npx skills add https://github.com/bencharoenwong/parallax-workflows --skill parallax-ai-greenblatt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Applies Joel Greenblatt's Magic Formula (ROC rank + earnings yield rank, combined, top decile) to Parallax data to surface high-quality investment opportunities in a scalable way.

Core Features & Use Cases

  • Universe mode returns a top-decile basket of US equities ranked by combined ROC and earnings yield.
  • Ticker-check mode reports whether a single stock is in the top decile of its peer universe by Greenblatt-based ranking.
  • Safety and governance includes clear disclaimers, JIT-loading of Parallax conventions and profile schemas, and cross-check validations to guard against mismatches.
  • Workflow orchestration leverages Parallax MCP tools to compute ROC, earnings yield, ranking, and to surface peer snapshots for pedagogy.

Quick Start

Run /parallax-AI-greenblatt to evaluate the universe or /parallax-AI-greenblatt AAPL to check a ticker.

Frequently Asked Questions about parallax-AI-greenblatt

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find stocks using Greenblatt's Magic Formula ranking?▼

Greenblatt's Magic Formula ranking identifies top-decile stocks by computing and combining return on capital (ROC) and earnings yield ranks. This process screens the US equity universe to surface high-quality investment opportunities in a scalable basket.

Can I check if a single stock meets Greenblatt earnings yield and ROC criteria?▼

You can check a single stock against Greenblatt criteria using ticker-check mode. This mode assesses whether a specific ticker ranks in the top decile of its sector-scoped peer universe by evaluating combined ROC and earnings yield performance.

How does ROC ranking work for screening the US equity universe?▼

ROC ranking for universe screening works by applying sector-scoped queries to assemble equity candidates, computing return on capital and earnings yield, capping results to the top 30, and selecting the top decile for a standardized ranked output.

Does the Magic Formula stock ranking require specific data dependencies?▼

Magic Formula stock ranking relies on Parallax data to execute universe queries and compute ROC and earnings yield. It JIT-loads Parallax conventions and profile schemas to ensure cross-check validations guard against data mismatches.

What are the limitations of using Greenblatt ranking for stock screening?▼

Greenblatt ranking limitations include relying strictly on ROC and earnings yield metrics for top-decile selection, requiring Parallax data availability, and necessitating user awareness of safety disclaimers as it does not constitute definitive investment advice.

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