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pead-screener

Screen post-earnings gap-up stocks for PEAD patterns using weekly candle formations.

1|Updated Feb 18, 2026
Search Tags:#trading strategy#stock screening#earnings analysis#pead#weekly candle analysis
One-click install
npx skills add https://github.com/darkounus90/BOTTX3 --skill pead-screener-darkounus90
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pead-screener
Source: https://github.com/darkounus90/BOTTX3/tree/main/.agents/skills/pead-screener
Command: npx skills add https://github.com/darkounus90/BOTTX3 --skill pead-screener-darkounus90

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, MetaTrader5, FMP_API_KEY, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the screening of post-earnings gap-up stocks for PEAD patterns, saving time and reducing manual effort in market analysis.

Core Features & Use Cases

  • PEAD Pattern Detection: Identifies red candle pullbacks and breakout signals based on weekly candle formations.
  • Input Modes: Supports FMP earnings calendar and earnings-trade-analyzer JSON output for flexible use.
  • Use Case: For a user interested in PEAD screening or analyzing earnings gap-up stocks, this Skill provides a fast and efficient way to find potential trading opportunities based on post-earnings drift patterns.

Quick Start

Run the PEAD screener script for the last 14 days of earnings: python3 skills/pead-screener/scripts/screen_pead.py --output-dir reports/

Frequently Asked Questions about pead-screener

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

FAQPage Schema
What is Post-Earnings Announcement Drift stock screening?▼

Post-Earnings Announcement Drift (PEAD) screening identifies post-earnings gap-up stocks exhibiting red candle pullbacks and breakout signals. It analyzes weekly candle formations to detect post-earnings drift patterns for trading opportunities.

How do I screen stocks for PEAD patterns using weekly candle analysis?▼

Run the PEAD screener script via Python to analyze weekly candle formations in post-earnings gap-up stocks. Execute the screen_pead.py script with an output directory to generate reports of red candle pullbacks and breakout signals.

Do I need an FMP API key and MetaTrader5 to detect post-earnings drift patterns?▼

Yes, detecting post-earnings drift patterns requires Python, MetaTrader5, requests, and an FMP API key. The screener uses FMP earnings calendar data and MetaTrader5 integration to automate weekly candle analysis.

Can I use earnings-trade-analyzer JSON output as input for PEAD screening?▼

Yes, the PEAD screener supports earnings-trade-analyzer JSON output as an input mode. This allows you to directly feed previous earnings analysis results into the screener to evaluate post-earnings drift patterns.

What's the best way to automate post-earnings gap-up stock screening for the last 14 days?▼

Automate 14-day post-earnings gap-up screening by running the screen_pead.py Python script. Point the script to an output directory to generate reports containing detected PEAD patterns and breakout signals.

What are the limitations of using weekly candle analysis for PEAD breakout signals?▼

Weekly candle analysis for PEAD breakout signals is limited to detecting red candle pullbacks on weekly formations. It requires valid FMP earnings calendar data or JSON input and proper MetaTrader5 environment setup to function correctly.

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