Earnings Trade Analyzer

This is a momentum scanner that scores recent earnings gaps using five weighted factors: gap size, pre-earnings trend, volume patterns, and MA200/MA50 positioning. It pulls data from FMP's API, runs the math, and spits out letter grades (A through D) so you can quickly spot which post-earnings moves have institutional accumulation behind them. The free API tier works fine for scanning the last couple days, but you'll want paid if you're going deeper. The output includes both JSON and markdown reports with score breakdowns showing which factors are strong or weak. It's built for finding PEAD candidates without manually checking charts, though you'll still want to verify the A and B grades before taking positions.

skills.sh installs: 3.6K
GitHub stars: 3.7K
last updated: Aug 21, 2026

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Install

$ npx -y skills add tradermonty/claude-trading-skills --skill earnings-trade-analyzer --agent claude-code

Installs into .claude/skills of the current project.

Files

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:

# 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/

SKILL.md on GitHub