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dividend-growth-pullback-screener — Claude Code skill: screen

Finds dividend growers with 12%+ annual payout growth that have slipped to RSI 40 or below. Useful for entering quality names during short-term weakness.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add tradermonty/claude-trading-skills --skill dividend-growth-pullback-screener -a claude-code
Open on GitHub

What dividend-growth-pullback-screener does

The skill runs two filters at once. First it keeps companies with dividend growth of 12%+ a year and a yield of 1.5% or more, then narrows that list to names whose RSI has dropped to 40 or lower. The idea: the business keeps raising payouts while the price lags behind.

Everything runs through one Python script, skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py. It has two modes. With --use-finviz it pre-screens through FINVIZ Elite and then runs detailed FMP analysis on the survivors. Without that flag it queries FMP directly, and the free tier cap of 250 requests a day becomes the real limit — pass --max-candidates 40 or some calls will fail. Yield, dividend growth and RSI thresholds are set with --min-yield, --min-div-growth and --rsi-max.

You get two artifacts: a JSON file with all metrics and a markdown report with stock profiles, payout sustainability notes and entry-timing calls. For non-REITs, sustainability is confirmed only when the earnings payout sits below 80% and reported free cash flow is strictly above dividends paid; negative or zero FCF never confirms it. REITs need an explicit isReit: true or REIT industry identification, since the Real Estate sector alone is not enough. One caveat: in current packaged builds the CLI may reject --output-dir, and some versions write into the repository logs/ directory even when launched elsewhere, so check the printed paths.

What it helps with

  • find dividend stocks growing payouts 12%+ a year
  • filter for RSI pullbacks without losing business quality
  • check payout sustainability against free cash flow
  • time an entry into a stock that just sold off
  • run the screen inside the FMP free-tier request cap

Example prompts for the agent

  • run the dividend growth screen for stocks in an RSI pullback
  • run screen_dividend_growth_rsi.py with --use-finviz and a 2.0 yield floor
  • show the report for the qualified stocks with sustainability notes

How to install dividend-growth-pullback-screener

1Skills CLI (Vercel)

npx skills add tradermonty/claude-trading-skills --skill dividend-growth-pullback-screener -a claude-code

2Manually: put the files in place

~/.claude/skills/dividend-growth-pullback-screener/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/dividend-growth-pullback-screener/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about dividend-growth-pullback-screener

How do I install dividend-growth-pullback-screener in Claude?

Run npx skills add tradermonty/claude-trading-skills --skill dividend-growth-pullback-screener -a claude-code. The skill then lives at ~/.claude/skills/dividend-growth-pullback-screener/SKILL.md.

What does dividend-growth-pullback-screener do?

It screens for dividend stocks with 12%+ annual payout growth and a yield of 1.5%+ whose RSI has fallen to 40 or below. Output is a JSON file of metrics plus a markdown report with entry-timing notes.

What do I need to run it?

An FMP API key: set the FMP_API_KEY environment variable or pass --fmp-api-key. You also need Python 3.9+ with the requests library. A FINVIZ Elite key is optional but speeds up pre-screening.

Source text

SKILL.md · MIT
---
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 certain future dividend cut.

**Technical Timing:**
- Current RSI value (≤40 = oversold)
- RSI context (extreme oversold <30 vs. early pullback 30-40)
- Price action relative to recent trend

**Quality Metrics:**
- Revenue and EPS growth (confirms business momentum)
- Financial health (debt levels, liquidity ratios)
- Profitability (ROE, profit margins)

**Investment Recommendation:**
- Entry timing assessment (immediate vs. wait for confirmation)
- Risk factors specific to the stock
- Upside scenarios based on dividend growth compounding

## Output

The script saves two files to its configured output location. In current packaged versions the CLI may not accept `--output-dir`; if that flag is unavailable, run the script from the desired working directory or move the generated files after execution. Some builds write to the repository `logs/` directory even when invoked from another directory, so verify the printed paths before reading artifacts.

| File | Description |
|---|---|
| `dividend_growth_pullback_results_YYYY-MM-DD.json` | Structured data with all metrics (yield, dividend CAGR, RSI, composite score, etc.) |
| `dividend_growth_pullback_screening_YYYY-MM-DD.md` | Human-readable report with stock profiles, entry timing, and investment recommendations |

**Report structure (Markdown):**
- Executive summary (number of candidates, market conditions)
- Ranked stock profiles with dividend growth profile, technical timing, and quality metrics
- Entry recommendations based on RSI zone (extreme oversold / strong oversold / early pullback)
- Disclaimers

## Screening Criteria Details

### Phase 1: Fundamental Screening (FMP API)

**Initial Filter:**
- Dividend Yield ≥ 1.5% (calculated from actual dividend payments)
- Market Cap ≥ $2 billion (liquidity and stability)
- Exchange: NYSE, NASDAQ (excludes OTC/pink sheets)

**Dividend Growth Analysis:**
- 3-Year Dividend CAGR ≥ 12% (doubles dividend in 6 years)
- Dividend Consistency: No cuts in past 4 years
- Sustainability: earnings payout <80% and FCF payout <100% for non-REITs; simplified FFO payout <80% for identified REITs

**Financial Health:**
- Positive revenue growth over 3 years
- Positive EPS growth over 3 years
- Debt-to-Equity < 2.0 (manageable leverage)
- Current Ratio > 1.0 (liquidity)

### Phase 2: Technical Screening (RSI Calculation)

**RSI Calculation:**
- 14-period RSI using daily closing prices
- Formula: RSI = 100 - (100 / (1 + RS))
  - RS = Average Gain / Average Loss over 14 periods
- Data source: FMP historical prices (past 30 days)

**RSI Filter:**
- RSI ≤ 40 (oversold/pullback condition)
- RSI interpretation:
  - < 30: Extreme oversold (potential reversal)
  - 30-40: Early pullback (uptrend correction)
  - > 40: Not oversold (excluded)

### Phase 3: Ranking and Output

**Composite Scoring (0-100):**
- Dividend Growth (40%): Reward higher CAGR and consistency
- Financial Quality (30%): ROE, profit margins, debt levels
- Technical Setup (20%): Lower RSI = better entry opportunity
- Valuation (10%): P/E and P/B for context (not exclusionary)

Stocks ranked by composite score. Top scorers combine exceptional dividend growth with attractive technical entry points.

## Understanding the Results

### Interpreting RSI Levels

**RSI 25-30 (Extreme Oversold):**
- Often indicates panic selling or negative news
- Higher risk but potentially highest reward
- Recommended: Wait for RSI to turn up (sign of stabilization)
- Entry: Scale in with 50% position, add on RSI >30

**RSI 30-35 (Strong Oversold):**
- Normal correction in strong uptrend
- Lower risk than extreme oversold
- Recommended: Can initiate position immediately
- Entry: Full position acceptable, set stop loss 5-8% below

**RSI 35-40 (Early Pullback):**
- Mild weakness in uptrend
- Lowest risk of further decline
- Recommended: Conservative entry for high conviction stocks
- Entry: Full position, tight stop loss 3-5% below

### Dividend Growth Compounding Examples

**12% Dividend CAGR (Minimum Threshold):**
- Starting Yield: 1.5%
- Year 6: 2.96% yield on cost (doubled)
- Year 12: 5.85% yield on cost (4x)
- Example: Visa (V), Mastercard (MA) historical profile

**15% Dividend CAGR (Excellent):**
- Starting Yield: 1.8%
- Year 6: 4.08% yield on cost (2.3x)
- Year 12: 9.22% yield on cost (5.1x)
- Example: Microsoft (MSFT) 2010-2020 period

**20% Dividend CAGR (Exceptional):**
- Starting Yield: 2.0%
- Year 6: 6.00% yield on cost (3x)
- Year 12: 18.0% yield on cost (9x)
- Example: Apple (AAPL) 2012-2020 period

**Key Insight:** Lower starting yield + high growth > high starting yield + low growth over 10+ years.

## Troubleshooting

### No Results Found

**Possible Causes:**
1. **Market conditions:** Strong bull market with few oversold stocks
2. **Criteria too strict:** 12% dividend growth is rare (5-10 stocks typically qualify)
3. **RSI threshold too low:** Consider raising to RSI ≤45 for more candidates

**Solutions:**
- Relax RSI threshold: `--rsi-max 45` (early pullback phase)
- Lower dividend growth: `--min-div-growth 10.0` (still excellent growth)
- Lower minimum yield: `--min-yield 1.0` (capture more growth stocks)

### API Rate Limit Reached

**FMP Free Tier Limits:**
- 250 requests/day
- Each stock analyzed requires 6 API calls (quote, dividend, prices, income, balance, cashflow, metrics)
- Maximum ~40 stocks per day in FMP-only mode

**Solutions:**

**1. Use FINVIZ Two-Stage Approach (RECOMMENDED)**
```bash
python3 skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py --use-finviz
```
- FINVIZ pre-screening: 1 API call → 10-50 candidates (already filtered by RSI)
- FMP analysis: 6 calls × 10-50 stocks = 60-300 FMP calls
- **Advantage**: FINVIZ RSI filter dramatically reduces candidates, staying within FMP limits

**2. Limit FMP-Only Candidates**
```bash
python3 skills/dividend-growth-pullback-screener/scripts/screen_dividend_growth_rsi.py --max-candidates 40
```

**3. Wait 24 Hours for Rate Limit Reset**
- FMP resets at UTC midnight

**4. Upgrade to FMP Paid Plan**
- Starter ($14/month): 500 requests/day
- Professional ($29/month): 1,000 requests/day

**Note:** FINVIZ Elite subscription ($40/month) + FMP free tier is more cost-effective than FMP paid plans for this use case.

### RSI Calculation Errors

**Issue:** "Insufficient price data for RSI calculation"

**Cause:** Stock has less than 30 days of trading history (IPO or inactive)

**Solution:** Script automatically skips stocks with insufficient data. No action needed.

## Combining with Other Skills

**Pre-Screening Context:**
1. **Market News Analyst** → Identify sector rotations or market pullbacks
2. **Breadth Chart Analyst** → Confirm broader market oversold conditions
3. **Economic Calendar Fetcher** → Check for upcoming rate decisions or macro events

**Post-Screening Analysis:**
1. **Technical Analyst** → Analyze individual stock charts for qualified candidates
2. **US Stock Analysis** → Deep dive on specific stocks before entry
3. **Backtest Expert** → Validate RSI + dividend growth strategy historically

**Example Workflow:**
```
1. Market News Analyst: "Market pulled back 5% this week on Fed hawkish comments"
2. Breadth Chart Analyst: Confirms market oversold (S&P breadth weak)
3. Dividend Growth Pullback Screener: Finds 8 quality dividend growers with RSI <35
4. Technical Analyst: Analyze top 3 candidates for support levels and entry timing
5. Execute: Enter scaled positions with 6-12 month time horizon
```

## Resources

### scripts/

**screen_dividend_growth_rsi.py** - Main screening script
- Integrates FMP API for fundamental data
- Calculates 14-period RSI from historical prices
- Applies multi-phase filtering and ranking
- Outputs JSON and markdown reports

### references/

**rsi_oversold_strategy.md** - RSI indicator explanation
- How RSI identifies oversold conditions
- Difference between extreme oversold (<30) vs. early pullback (30-40)
- Combining RSI with fundamental analysis
- False positive management and risk mitigation

**dividend_growth_compounding.md** - Dividend growth mathematics
- Power of 12%+ dividend CAGR over time
- Yield vs. growth trade-offs
- Historical examples (MSFT, V, MA, AAPL)
- Quality characteristics of dividend growth stocks

**fmp_api_guide.md** - API usage documentation
- API key setup and management
- Endpoint documentation for screening
- Rate limiting strategies
- Error handling and troubleshooting

---

**Disclaimer:** This screening tool is for informational purposes only. Past dividend growth does not guarantee future performance. Conduct thorough due diligence before making investment decisions. RSI oversold conditions do not guarantee price reversals - stocks can remain oversold for extended periods.


## Shared FMP client

FMP data access uses the bundled generated `scripts/fmp_client.py`. Existing CLI
key/environment precedence, financial calculations and successful output shapes
are preserved. The migrated paths use stable endpoints only; a denied or failed
stable request does not fall back to retired v3 URLs. The shared client masks raw
and URL-encoded key echoes, retries malformed JSON once, and retries a 429 once
with a 60-second wait before stopping on a repeated rate limit. FINVIZ, where
used, remains a separate client.

© tradermonty · MIT · tradermonty/claude-trading-skills

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