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pead-screener

Security Scan Summary

Status: Safe

Source: Syntic Skills registry

Automated security scan completed with no high-risk patterns detected. Manual review is still required.

About This Skill

Use when the user wants PEAD (post-earnings drift) screening: earnings gap-up stocks, weekly red-candle pullbacks, or breakout follow-through setups after earnings.

Downloadable SKILL.md

Download SKILL.md and place it in your Syntic skills folder. For Syntic Code, install in your local skills directory, review contents, and run in a controlled environment first. Acknowledge the risk notice above to enable the download.

SKILL.md
---
name: pead-screener
description: Use when the user wants PEAD (post-earnings drift) screening: earnings gap-up stocks, weekly red-candle pullbacks, or breakout follow-through setups after earnings.
category: Screening
version: 1.0.0
tools: []
---

# PEAD Screener

Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns, using weekly-candle analysis to detect a red-candle pullback followed by a breakout signal.

## When to Use
Use when the user asks about PEAD screening, post-earnings drift, earnings-gap follow-through, red-candle breakout patterns, weekly earnings-momentum setups, or supplies a pre-graded earnings candidate list to screen further.

## Method
Two ways to source candidates: (A) start from a recent earnings calendar (default: last 14 days of reports, monitored over a 5-week window) and look for stocks that gapped up on earnings; or (B) take an existing graded candidate list (e.g. grade B or better) and apply the PEAD pattern check on top of it. Prefer mode B when the goal is a focused US-equity watchlist — pulling from a broad/global earnings calendar (mode A) risks spending research effort on thin, non-actionable foreign listings; if forced into mode A and the resulting set looks weak or non-US-heavy, treat the output as manual-review-only rather than a clean candidate list.

For each earnings gap-up candidate, track weekly candle formation looking for: a **red candle pullback** — one or more down weeks after the gap, without breaking key support — followed by a **breakout signal** — a subsequent weekly close back above the high of that red candle, which confirms drift continuation.

## Stage Classification
Classify every candidate into one stage: **MONITORING** (post-earnings, no red candle yet — add to watchlist), **SIGNAL_READY** (a red candle has formed — set an alert for a breakout above its high), **BREAKOUT** (price has closed back above the red-candle high — actionable), **EXPIRED** (beyond the monitoring window with no breakout — drop from the watchlist).

## Guidance by Stage and Score
Score and grade each breakout candidate (0-100). **BREAKOUT + Strong Setup (85+)**: high-conviction PEAD trade, full position size. **BREAKOUT + Good Setup (70-84)**: solid setup, standard position size. **SIGNAL_READY**: no trade yet, set an alert for the breakout trigger. **MONITORING**: no action, just track. **EXPIRED**: remove from the watchlist.

## Presenting Results
For each candidate report: stage, the weekly candle pattern (where the red candle sits, breakout status), the composite score and rating, a trade setup (entry, stop-loss, target, risk/reward ratio), and liquidity context (20-day average dollar volume, average volume). Group the final report by stage so BREAKOUT candidates are immediately visible ahead of MONITORING/SIGNAL_READY names.

Bundle Download

Includes SKILL.md and bundled support files where provided. Risk acknowledgement is required.

Install Targets

Syntic App

  1. 1. Create a dedicated folder for this skill in your local skills library.
  2. 2. Place SKILL.md into that folder.
  3. 3. Restart Syntic and invoke this skill on matching tasks.

Syntic Code (CLI)

  1. 1. Save SKILL.md in your local Syntic Code skills directory.
  2. 2. Keep related files in the same skill folder.
  3. 3. Run in a safe environment and validate outputs.

Source

https://github.com/tradermonty/claude-trading-skills/blob/main/skills/pead-screener/SKILL.md

Open Source Link
Screening

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