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.
What this skill does
# 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
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