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earnings-trade-analyzer

Score post-earnings stocks using a 5-factor composite and output grade-based rankings.

Updated Apr 17, 2026
Search Tags:#momentum#scoring#trading#earnings#stock-analysis#post-earnings
One-click install
npx skills add https://github.com/pasie15/claude-trading-skills-marketplace --skill earnings-trade-analyzer-pasie15
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: earnings-trade-analyzer
Source: https://github.com/pasie15/claude-trading-skills-marketplace/tree/main/plugins/trading-earnings-timing/skills/earnings-trade-analyzer
Command: npx skills add https://github.com/pasie15/claude-trading-skills-marketplace --skill earnings-trade-analyzer-pasie15

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Post-earnings stock moves can be hard to interpret, so this skill scores recent post-earnings stocks using a 5-factor system to surface the strongest momentum setups.

Core Features & Use Cases

  • 5-factor composite scoring (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position) with letter grades (A/B/C/D).
  • Generates structured results in JSON and human-readable Markdown reports, including the weakest and strongest scoring components.
  • Use Case: identify top post-earnings momentum candidates and guide entry decisions based on robust scoring.

Quick Start

Execute the earnings-trade-analyzer script with default lookback to generate the reports in the reports/ directory.

Frequently Asked Questions about earnings-trade-analyzer

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

FAQPage Schema
How do I identify the best post-earnings stock setups for momentum trading?▼

Post-earnings movers are scored using a composite 5-factor system evaluating Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, and MA50 Position to generate letter grades and rank the strongest momentum setups.

How do I scan recent earnings events for strong momentum candidates?▼

You scan recent earnings events by applying a defined lookback window and top-N results limit to the scoring script, which outputs a grade-based ranking of the strongest post-earnings momentum candidates in JSON and Markdown formats.

Do I need a financial data API key to analyze post-earnings movers?▼

Yes, you need a valid API key for financial data because the analyzer requires it to compute the composite scores from volume trends, moving average positions, and gap sizes for recent post-earnings stock events.

What is the best way to grade post-earnings stock moves using moving averages and volume?▼

The best way to grade post-earnings moves is using a 5-factor composite scoring system that evaluates MA50 position, MA200 position, volume trends, and gap size to assign letter grades from A to D for actionable setups.

How does the 5-factor scoring system evaluate pre-earnings trends and gap size?▼

The 5-factor scoring system evaluates pre-earnings trends and gap size by computing a composite score from these metrics alongside volume trend and moving average positions, highlighting the weakest and strongest components for each stock.

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