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/

# With entry quality filter

python3 skills/earnings-trade-analyzer/scripts/analyze_earnings_trades.py \

  --apply-entry-filter \

  --output-dir reports/

Step 2: Review Results

• Read the generated JSON and Markdown reports

• Load references/scoring_methodology.md for scoring interpretation context

• Focus on Grade A and B stocks for actionable setups

Step 3: Present Analysis

For each top candidate, present:

• Composite score and letter grade (A/B/C/D)

• Earnings gap size and direction

• Pre-earnings 20-day trend

• Volume ratio (20-day vs 60-day average)

• Position relative to 200-day and 50-day moving averages

• Weakest and strongest scoring components

Step 4: Provide Actionable Guidance

Based on grades:

• Grade A (85+): Strong earnings reaction with institutional accumulation - consider entry

• Grade B (70-84): Good earnings reaction worth monitoring - wait for pullback or confirmation

• Grade C (55-69): Mixed signals - use caution, additional analysis needed

• Grade D (<55): Weak setup - avoid or wait for better conditions

Output

• earnings_trade_analyzer_YYYY-MM-DD_HHMMSS.json - Structured results with schema_version "1.0"

• earnings_trade_analyzer_YYYY-MM-DD_HHMMSS.md - Human-readable report with tables

Resources

• references/scoring_methodology.md - 5-factor scoring system, grade thresholds, and entry quality filter rules