dividend-growth-pullback-screener

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 oppo

By tradermonty · 2,140 installs

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

Source repository · Upstream listing

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: 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: 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): 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: Customization Options: 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 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 Payout Ratio < 100% (sustainability check) 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) 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 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: 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.