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earnings-trade-analyzer

Score post-earnings stocks with a 5-factor system and generate JSON and Markdown reports.

1|Updated Apr 6, 2026
Search Tags:#momentum#scoring#stocks#earnings#trading-analysis#post-earnings
One-click install
npx skills add https://github.com/kavi-lin/stock --skill earnings-trade-analyzer-kavi-lin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: earnings-trade-analyzer
Source: https://github.com/kavi-lin/stock/tree/main/skills/earnings-trade-analyzer
Command: npx skills add https://github.com/kavi-lin/stock --skill earnings-trade-analyzer-kavi-lin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Analyze and quantify post-earnings stock reactions to identify high-probability momentum trades using a structured 5-factor scoring model.

Core Features & Use Cases

  • 5-factor scoring across Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, and MA50 Position to produce a 0-100 composite score and a letter grade.
  • Generates both human-readable Markdown reports and machine-consumable JSON to support quick screening and audit trails.
  • Use case: screen the latest earnings movers to find A/B-grade ideas for long-side momentum trades and systematic follow-ups.

Quick Start

Run the earnings-trade-analyzer script to generate a report of top post-earnings candidates.

Frequently Asked Questions about earnings-trade-analyzer

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

FAQPage Schema
How do I screen post-earnings stocks for momentum trades?▼

Post-earnings momentum scoring uses a 5-factor model analyzing gap size, pre-earnings trend, volume trend, MA200 position, and MA50 position to produce a 0-100 composite score with fixed weights, identifying high-probability long-side trade opportunities.

What factors are used for post-earnings momentum scoring?▼

Post-earnings momentum scoring uses a 5-factor model analyzing gap size, pre-earnings trend, volume trend, MA200 position, and MA50 position to produce a 0-100 composite score with fixed weights, identifying high-probability long-side trade opportunities.

Do I need a Financial Modeling Prep API key to analyze earnings movers?▼

Post-earnings analysis outputs machine-friendly JSON for automated screening pipelines and audit trails, alongside human-readable Markdown reports containing component breakdowns, composite scores, and A-D letter grades for quick review.

What output formats does the earnings analysis generate?▼

Post-earnings analysis outputs machine-friendly JSON for automated screening pipelines and audit trails, alongside human-readable Markdown reports containing component breakdowns, composite scores, and A-D letter grades for quick review.

Can I adjust the factor weights in the 5-factor earnings scoring model?▼

Post-earnings momentum scoring is designed for long-side momentum trades on US equities, using A-D letter grades to surface high-probability candidates. It is not suited for short-side or non-equity asset screening.

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