Dividend Growth Pullback ScreenerSAFE

Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development.

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: dividend-growth-pullback-screener
description: Use this skill to find high-quality dividend growth stocks (12%+ annual dividend growth, 1.5%+ yield) that are experiencing temporary pullbacks, identified by RSI oversold conditions (RSI ≤40). This skill combines fundamental dividend analysis with technical timing indicators to identify buying opportunities in strong dividend growers during short-term weakness.
---

# Dividend Growth Pullback Screener

## Overview

This skill screens for dividend growth stocks that exhibit strong fundamental characteristics but are experiencing temporary technical weakness. It targets stocks with exceptional dividend growth rates (12%+ CAGR) that have pulled back to RSI oversold levels (≤40), creating potential entry opportunities for long-term dividend growth investors.

**Investment Thesis:** High-quality dividend growth stocks (often yielding 1-2.5%) compound wealth through dividend increases rather than high current yield. Buying these stocks during temporary pullbacks (RSI ≤40) can enhance total returns by combining strong fundamental growth with favorable technical entry timing.

## When to Use This Skill

Use this skill when:
- Looking for dividend growth stocks with exceptional compounding potential (12%+ dividend CAGR)
- Seeking entry opportunities in quality stocks during temporary market weakness
- Willing to accept lower current yields (1.5-3%) for higher dividend growth
- Focusing on total return over 5-10 years rather than current income
- Market conditions show sector rotations or broad pullbacks affecting quality names

**Do NOT use when:**
- Seeking high current income (use value-dividend-screener instead)
- Requiring immediate dividend yields >3%
- Looking for deep value plays with strict P/E or P/B requirements
- Short-term trading focus (<6 months)

## Prerequisites

- **FMP API key** (required): Set `FMP_API_KEY` environment variable or pass `--fmp-api-key`. Free tier (250 calls/day) is sufficient for FMP-only mode (≤40 stocks). [Sign up](https://site.financialmodelingprep.com/developer/docs).
- **FINVIZ Elite API key** (optional, recommended): Set `FINVIZ_API_KEY` environment variable or pass `--finviz-api-key`. Reduces execution time from 10–15 min to 2–3 min. [Sign up](https://elite.finviz.com/).
- Python 3.9+ with the `requests` library installed.

## Screening Workflow

### Step 1: Set API Keys

#### Two-Stage Approach (RECOMMENDED)

For optimal performance, use FINVIZ Elite API for pre-screening + FMP API for detailed analysis:

```bash
# Set both API keys as environment variables
export FMP_API_KEY=your_fmp_key_here
export FINVIZ_API_KEY=your_finviz_key_here
```

**Why Two-Stage?**
- **FINVIZ**: Fast pre-screening with RSI filter (1 API call → ~10-50 candidates)
- **FMP**: Detailed fundamental analysis only on pre-screened candidates
- **Result**: Analyze more stocks with fewer FMP API calls (stays within free tier limits)

#### FMP-Only Approach (Original Method)

If you don't have FINVIZ Elite access:

```bash
export FMP_API_KEY=your_key_here
```

**Limitation**: FMP free tier (250 requests/day) limits analysis to ~40 stocks. Use `--max-candidates 40` to stay within limits.

### Step 2: Execute Screening

**Two-Stage Screening (RECOMMENDED):**

```bash
python3 skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py --use-finviz
```

This executes:
1. FINVIZ pre-screen: Dividend yield 0.5-3%, Dividend growth 10%+, EPS growth 5%+, Sales growth 5%+, RSI <40
2. FMP detailed analysis: Verify 12%+ dividend CAGR, calculate exact RSI, analyze fundamentals

**FMP-Only Screening:**

```bash
python3 skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py --max-candidates 40
```

**Customization Options:**

```bash
# Two-stage with custom parameters
python3 skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py \
  --use-finviz --min-yield 2.0 --min-div-growth 15.0 --rsi-max 35

# FMP-only with custom parameters
python3 skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py \
  --min-yield 2.0 --min-div-growth 10.0 --max-candidates 30

# Provide API keys as arguments (instead of environment variables)
python3 skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py \
  --use-finviz --fmp-api-key YOUR_FMP_KEY --finviz-api-key YOUR_FINVIZ_KEY
```

### Step 3: Review Results

The script generates two outputs:

1. **JSON file:** `dividend_growth_pullback_results_YYYY-MM-DD.json`
   - Structured data with all metrics for further analysis
   - Includes dividend growth rates, RSI values, financial health metrics

2. **Markdown report:** `dividend_growth_pullback_screening_YYYY-MM-DD.md`
   - Human-readable analysis with stock profiles
   - Scenario-based probability assessments
   - Entry timing recommendations

### Step 4: Analyze Qualified Stocks

For each qualified stock, the report includes:

**Dividend Growth Profile:**
- Current yield and annual dividend
- 3-year dividend CAGR and consistency
- Payout ratio and sustainability assessment with `fcf_status`, `fcf_coverage_status`, `sustainability_basis`, and a per-stock `sustainability_note`
- Non-REIT sustainability requires earnings payout below 80% and reported `freeCashFlow` strictly above dividends paid (FCF payout below 100%). Negative, zero, insufficient, and missing/invalid FCF never confirm sustainability. Missing FCF stays missing; it is not inferred from earnings or metrics.
- REITs require an explicit `isReit: true` or REIT industry identification; the Real Estate sector alone is insufficient. Identified REITs use payout below 80% of simplified FFO (net income + depreciation/amortization), with both inputs required. FCF status is informational for REITs; this proxy excludes property-sale adjustments.
- Metrics payout fallback is display-only. Decisions use unrounded ratios; displayed ratios may round to the threshold. Coverage shortfalls do not predict a cer

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

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none-observed

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none-observed

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Findings (3)

examples/daily-market-dashboard/.claude/skills

requests

# Add to ~/.bashrc or ~/.zshrc

Gates applied: no_behavioural_pass.

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