Agent skill · data analytics · tradermonty
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.
Why this skill is useful
Provides specific screening scripts and analysis workflows for PEAD patterns that are not commonly known or available in public resources.
What it needs
Requires python3 installed locally. Requires fmp account access. About 2k tokens when loaded. Last updated 2026-08-06. 2,581 stars on the source repository.
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 FMPAPIKEY environment variable or pass --api-key) Free tier (250 calls/day) is sufficient for default screening For Mode B: earnings-trade-analyzer JSON output file with schemaversion "1.0" Workflow Step 1: Prepare and Execute Screening Run the PEAD screener script in one of two modes: Mode A (FMP earnings calendar): Mode B (earnings-trade-analyzer JSON input): Scheduled US-equity routine pitfall: Prefer Mode B for pre-market / US-equity cron briefs after running earnings-trade-analyzer. Mode A can pull the global FMP earnings calendar, spend the API budget on non-US symbols, and return weak/non-actionable foreign listings before reaching the intended US watchlist. If Mode A is used anyway and the script reports budget trimming or non-US symbols, mark PEAD output as degraded and treat it as manual-review only rather than a clean candidate source. Step 2: Review Results 1. Read the generated JSON and Markdown reports 2. Load references/peadstrategy.md for PEAD theory and pattern context 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills tradermonty/pead-screener