How do I install the Pead Screener skill?

Run npx skillmds@latest add xonevn-ai/pead-screener in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Is Pead Screener free to use?

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Who published Pead Screener?

xonevn-ai (@xonevn-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Pead Screener by xonevn-ai — Agent Skill

Name: Pead Screener
Author: xonevn-ai

Pead Screener

Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns. Analyzes weekly candle formation to detect red candle pullbacks and breakout signals. Supports two input modes - FMP earnings calendar (Mode A) or earnings-trade-analyzer JSON output (Mode B). Use when user asks about PEAD screening, post-earnings drift, earnings gap follow-through, red candle breakout patterns, or weekly earnings momentum setups.

xonevn-ai Updated Sep 17, 2026

File contents

PEAD Screener - Post-Earnings Announcement Drift

Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns using weekly candle analysis to detect red candle pullbacks and breakout signals.

When to Use

User asks for PEAD screening or post-earnings drift analysis
User wants to find earnings gap-up stocks with follow-through potential
User requests red candle breakout patterns after earnings
User asks for weekly earnings momentum setups
User provides earnings-trade-analyzer JSON output for further screening

Prerequisites

FMP API key (set FMP_API_KEY environment variable or pass --api-key)
```
export FMP_API_KEY=your_api_key_here
```
Free tier (250 calls/day) is sufficient for default screening
For Mode B: earnings-trade-analyzer JSON output file with schema_version "1.0"

Workflow

Step 1: Prepare and Execute Screening

Run the PEAD screener script in one of two modes:

Mode A (FMP earnings calendar):

# Default: last 14 days of earnings, 5-week monitoring window
python3 skills/pead-screener/scripts/screen_pead.py --output-dir reports/

# Custom parameters
python3 skills/pead-screener/scripts/screen_pead.py \
  --lookback-days 21 \
  --watch-weeks 6 \
  --min-gap 5.0 \
  --min-market-cap 1000000000 \
  --output-dir reports/

Mode B (earnings-trade-analyzer JSON input):

# From earnings-trade-analyzer output
python3 skills/pead-screener/scripts/screen_pead.py \
  --candidates-json reports/earnings_trade_analyzer_YYYY-MM-DD_HHMMSS.json \
  --min-grade B \
  --output-dir reports/

Step 2: Review Results

Read the generated JSON and Markdown reports
Load references/pead_strategy.md for PEAD theory and pattern context
Load references/entry_exit_rules.md for trade management rules

Step 3: Present Analysis

For each candidate, present:

Stage classification (MONITORING, SIGNAL_READY, BREAKOUT, EXPIRED)
Weekly candle pattern details (red candle location, breakout status)
Composite score and rating
Trade setup: entry, stop-loss, target, risk/reward ratio
Liquidity metrics (ADV20, average volume)

Step 4: Provide Actionable Guidance

Based on stages and ratings:

BREAKOUT + Strong Setup (85+): High-conviction PEAD trade, full position size
BREAKOUT + Good Setup (70-84): Solid PEAD setup, standard position size
SIGNAL_READY: Red candle formed, set alert for breakout above red candle high
MONITORING: Post-earnings, no red candle yet, add to watchlist
EXPIRED: Beyond monitoring window, remove from watchlist

Output

pead_screener_YYYY-MM-DD_HHMMSS.json - Structured results with stage classification
pead_screener_YYYY-MM-DD_HHMMSS.md - Human-readable report grouped by stage

Resources

references/pead_strategy.md - PEAD theory and weekly candle approach
references/entry_exit_rules.md - Entry, exit, and position sizing rules

---name: pead-screenerdescription: Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns. Analyzes weekly candle formation to detect red candle pullbacks and breakout signals. Supports two input modes - FMP earnings calendar (Mode A) or earnings-trade-analyzer JSON output (Mode B). Use when user asks about PEAD screening, post-earnings drift, earnings gap follow-through, red candle breakout patterns, or weekly earnings momentum setups.---# PEAD Screener - Post-Earnings Announcement DriftScreen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns using weekly candle analysis to detect red candle pullbacks and breakout signals.## When to Use- User asks for PEAD screening or post-earnings drift analysis- User wants to find earnings gap-up stocks with follow-through potential- User requests red candle breakout patterns after earnings- User asks for weekly earnings momentum setups- User provides earnings-trade-analyzer JSON output for further screening## Prerequisites- FMP API key (set `FMP_API_KEY` environment variable or pass `--api-key`) ```bash export FMP_API_KEY=your_api_key_here ```- Free tier (250 calls/day) is sufficient for default screening- For Mode B: earnings-trade-analyzer JSON output file with schema_version "1.0"## Workflow### Step 1: Prepare and Execute ScreeningRun the PEAD screener script in one of two modes:**Mode A (FMP earnings calendar):**```bash# Default: last 14 days of earnings, 5-week monitoring windowpython3 skills/pead-screener/scripts/screen_pead.py --output-dir reports/# Custom parameterspython3 skills/pead-screener/scripts/screen_pead.py \ --lookback-days 21 \ --watch-weeks 6 \ --min-gap 5.0 \ --min-market-cap 1000000000 \ --output-dir reports/```**Mode B (earnings-trade-analyzer JSON input):**```bash# From earnings-trade-analyzer outputpython3 skills/pead-screener/scripts/screen_pead.py \ --candidates-json reports/earnings_trade_analyzer_YYYY-MM-DD_HHMMSS.json \ --min-grade B \ --output-dir reports/```### Step 2: Review Results1. Read the generated JSON and Markdown reports2. Load `references/pead_strategy.md` for PEAD theory and pattern context3. Load `references/entry_exit_rules.md` for trade management rules### Step 3: Present AnalysisFor each candidate, present:- Stage classification (MONITORING, SIGNAL_READY, BREAKOUT, EXPIRED)- Weekly candle pattern details (red candle location, breakout status)- Composite score and rating- Trade setup: entry, stop-loss, target, risk/reward ratio- Liquidity metrics (ADV20, average volume)### Step 4: Provide Actionable GuidanceBased on stages and ratings:- **BREAKOUT + Strong Setup (85+):** High-conviction PEAD trade, full position size- **BREAKOUT + Good Setup (70-84):** Solid PEAD setup, standard position size- **SIGNAL_READY:** Red candle formed, set alert for breakout above red candle high- **MONITORING:** Post-earnings, no red candle yet, add to watchlist- **EXPIRED:** Beyond monitoring window, remove from watchlist## Output- `pead_screener_YYYY-MM-DD_HHMMSS.json` - Structured results with stage classification- `pead_screener_YYYY-MM-DD_HHMMSS.md` - Human-readable report grouped by stage## Resources- `references/pead_strategy.md` - PEAD theory and weekly candle approach- `references/entry_exit_rules.md` - Entry, exit, and position sizing rules

Frequently asked questions