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pead-screener

Screen stocks for PEAD patterns using weekly candle analysis and earnings data.

2|Updated Apr 6, 2026
Search Tags:#financial modeling#stock analysis#pead#post-earnings drift#weekly candle analysis
One-click install
npx skills add https://github.com/k1064190/stock-expectation --skill pead-screener-k1064190
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pead-screener
Source: https://github.com/k1064190/stock-expectation/tree/main/.claude/skills/_archived/pead-screener
Command: npx skills add https://github.com/k1064190/stock-expectation --skill pead-screener-k1064190

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires bin/stock-cli, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the screening and analysis of stocks exhibiting Post-Earnings Announcement Drift (PEAD) patterns, saving users time in manually identifying potential investment opportunities.

Core Features & Use Cases

  • PEAD Screening: Automates the identification of stocks showing PEAD patterns based on price analysis after earnings announcements.
  • Weekly Candle Analysis: Utilizes weekly candle formations to detect PEAD patterns such as red candle pullbacks and breakout signals.
  • Mode B Support: Accepts input from the earnings-trade-analyzer JSON output for advanced users.
  • Use Case: Imagine you want to analyze stocks with the potential for PEAD following earnings announcements. Use this Skill to automatically screen and analyze these stocks based on their price action and earnings quality.

Quick Start

Use the pead-screener skill to analyze stocks that have shown a PEAD pattern after their latest earnings announcement.

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 and how does weekly candle analysis detect it?▼

Post-earnings announcement drift (PEAD) is the tendency of stock prices to continue moving in the direction of an earnings surprise. Weekly candle analysis detects PEAD by evaluating price behavior and specific candle formations, such as red candle pullbacks and breakout signals, following earnings announcements.

How do I screen stocks for post-earnings announcement drift patterns automatically?▼

You can screen stocks for post-earnings announcement drift by running the automated analysis tool, which fetches earnings data and evaluates weekly candle price behavior to identify patterns. The tool supports both US and KR markets using rate-limited API access.

Do I need the stock-cli tool to analyze post-earnings drift patterns?▼

Yes, the bin/stock-cli dependency is required to fetch the financial data needed for post-earnings drift analysis. The screening tool relies on this command-line interface to retrieve earnings data and price behavior for US and KR markets.

Can I use earnings analysis JSON output as input for post-earnings drift screening?▼

Yes, the tool supports Mode B, which accepts JSON output from the earnings-trade-analyzer as input. This allows advanced users to feed prior earnings analysis directly into the post-earnings drift screening process.

Does post-earnings drift screening work for both US and Korean stock markets?▼

Yes, the post-earnings announcement drift screening tool supports both US and KR markets. It utilizes rate-limited API access to fetch financial data and evaluate weekly candle formations across both regions.

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