earnings-trade-analyzerlisted

# Earnings Trade Analyzer - Post-Earnings 5-Factor Scoring Analyze recent post-earnings stocks using a 5-factor weighted scoring system to identify the strongest earnings reactions for potential momentum trades. ## When to Use - User asks for post-earnings trade analysis or earnings gap screening - User wants to find the best recent earnings reactions - User requests earnings momentum scoring or grading - User asks about post-earnings accumulation day (PEAD) candidates ## Prerequisites - FMP API key (set `FMP_API_KEY` environment variable or pass `--api-key`) - Free tier (250 calls/day) is sufficient for default screening (lookback 2 days, top 20) - Paid tier recommended for larger lookback windows or full screening ## Workflow ### Step 1: Run the Earnings Trade Analyzer Execute the analyzer script: ```bash # Default: last 2 days of earnings, top 20 results python3 skills/earnings-trade-analyzer/scripts/analyze_earnings_trades.py --output-dir reports/ # Custom lookback and market cap filter python3 skills/earnings-trade-analyzer/scripts/analyze_earnings_trades.py \ --lookback-days 5 \ --min-market-cap 1000000000 \ --top 30 \ --output-dir reports/ # With entry quality filter python3 skills/earnings-trade-analyzer/scripts/analyze_earnings_trades.py \ --apply-entry-filter \ --output-dir reports/ ``` #### Degraded endpoint / budget fallback for scheduled reviews If the analyzer reports a 404, an implausible empty earnings calendar, or exhausts its API-cal