earnings-trade-analyzer

Analyze post-earnings stock momentum using a 5-factor scoring system.

1|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/darkounus90/BOTTX3 --skill earnings-trade-analyzer-darkounus90
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: earnings-trade-analyzer
Source: https://github.com/darkounus90/BOTTX3/tree/main/.agents/skills/earnings-trade-analyzer
Command: npx skills add https://github.com/darkounus90/BOTTX3 --skill earnings-trade-analyzer-darkounus90

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill analyzes the momentum of stocks following their earnings reports, helping users identify potential trading opportunities based on a comprehensive scoring system.

Core Features & Use Cases

  • Post-Earnings Analysis: Evaluate stocks after their earnings reports to identify potential trading opportunities.
  • 5-Factor Scoring: Utilizes a 5-factor scoring system including gap size, pre-earnings trend, volume trend, and moving average positions.
  • Use Case: A user seeking to trade stocks based on their recent earnings report could use this Skill to identify stocks with strong post-earnings momentum.

Quick Start

Use the earnings-trade-analyzer skill to analyze the best-performing stocks after their earnings reports.

Frequently Asked Questions about earnings-trade-analyzer

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

FAQPage Schema
How do I analyze post-earnings stock momentum for potential trades?

Post-earnings stock momentum is analyzed using a 5-factor scoring system that evaluates gap size, pre-earnings trend, volume trend, MA200, and MA50 positions to identify strong earnings reactions for momentum trades.

What is the best way to score stocks after their earnings reports?

Scoring stocks after earnings reports involves a 5-factor system measuring gap size, pre-earnings trend, volume trend, and moving average positions to pinpoint strong post-earnings momentum trading opportunities.

How do I identify strong earnings reactions using historical price data?

Strong earnings reactions are identified by fetching historical price data via the FMP API, then calculating momentum scores based on post-earnings gap size, volume trends, and MA50 and MA200 positions.

Do I need an FMP API key to analyze post-earnings momentum?

Yes, an FMP API key is required. The earnings analysis depends on the FMP API to fetch historical price data and the earnings calendar needed to calculate the 5-factor momentum score.

Does the 5-factor momentum scoring system work without pre-earnings trend data?

No, the pre-earnings trend is a required component. The 5-factor scoring system explicitly requires pre-earnings trend data alongside gap size, volume trend, and moving average positions to evaluate momentum.