parallax-AI-greenblatt

Community

Greenblatt-style stock ranks with Parallax data

Authorbencharoenwong
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: parallax-AI-greenblatt
Download link: https://github.com/bencharoenwong/parallax-workflows/archive/main.zip#parallax-ai-greenblatt

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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