# 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 patter…

- **Type:** Skill
- **Install:** `agentstack add skill-xonevn-ai-xone-trading-skills-pead-screener`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [xonevn-ai](https://agentstack.voostack.com/s/xonevn-ai)
- **Installs:** 0
- **Category:** [Productivity](https://agentstack.voostack.com/c/productivity)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [xonevn-ai](https://github.com/xonevn-ai)
- **Source:** https://github.com/xonevn-ai/xone-trading-skills/tree/main/skills/pead-screener
- **Website:** https://xone.vn

## Install

```sh
agentstack add skill-xonevn-ai-xone-trading-skills-pead-screener
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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`)
  ```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 Screening

Run the PEAD screener script in one of two modes:

**Mode A (FMP earnings calendar):**
```bash
# 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):**
```bash
# 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

1. Read the generated JSON and Markdown reports
2. Load `references/pead_strategy.md` for PEAD theory and pattern context
3. 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

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [xonevn-ai](https://github.com/xonevn-ai)
- **Source:** [xonevn-ai/xone-trading-skills](https://github.com/xonevn-ai/xone-trading-skills)
- **License:** MIT
- **Homepage:** https://xone.vn

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-xonevn-ai-xone-trading-skills-pead-screener
- Seller: https://agentstack.voostack.com/s/xonevn-ai
- Browse the marketplace: https://agentstack.voostack.com/browse

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