earnings-trade-analyzer

Analyzes post-earnings stocks with a 5-factor scoring system to produce composite scores and letter grades.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/Dorpeer95/stocks-trading --skill earnings-trade-analyzer-dorpeer95
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: earnings-trade-analyzer
Source: https://github.com/Dorpeer95/stocks-trading/tree/main/.claude/skills/earnings-trade-analyzer
Command: npx skills add https://github.com/Dorpeer95/stocks-trading --skill earnings-trade-analyzer-dorpeer95

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Post-earnings moves can be volatile and difficult to interpret; this Skill provides a structured, transparent 5-factor scoring system to quantify earnings reactions and identify strong setups.

Core Features & Use Cases

  • Five-factor scoring: Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position, producing a 0-100 composite score.
  • Grading & guidance: Assigns A/B/C/D grades with an explanation and action-oriented guidance.
  • Reports: Outputs top results as JSON and Markdown reports with sector distributions and summaries.
  • Usage scenarios: post-earnings screening, earnings gaps scoring, momentum screening, PEAD candidate discovery.

Quick Start

Run the Earnings Trade Analyzer to score recent post-earnings stocks and generate top-results reports in your preferred output 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 score post-earnings momentum and screen earnings gaps?

You can screen earnings gaps by running the Earnings Trade Analyzer to compute a 0-100 composite score using five fixed-weight factors: gap size, pre-earnings trend, volume trend, MA200 position, and MA50 position.

What factors should I analyze for post-earnings stock reactions?

Post-earnings stock reactions are analyzed using a five-factor scoring system that evaluates gap size, pre-earnings trend, volume trend, MA200 position, and MA50 position to produce a transparent composite score.

Can I generate JSON and Markdown reports for earnings momentum screening?

Yes, earnings momentum screening generates top-results JSON and Markdown reports that include sector distributions and summaries, assigning A/B/C/D grades with action-oriented guidance for identified setups.

Does the post-earnings scoring system support a configurable lookback window?

The post-earnings scoring system supports a configurable lookback window to analyze recent earnings reactions, allowing optional entry-filtering to identify the best post-earnings momentum candidates within that specified period.

What is the best way to discover PEAD candidates after earnings?

Discover PEAD candidates by applying the five-factor scoring methodology to post-earnings stocks, calculating momentum indicators and moving average positions to output graded results that highlight strong setups.