Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
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 opportunities in strong dividend growers during short-term weakness.
skill openclawclawhub Free
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.
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Quick setup
- Download the package from Yavira.
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Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/dividend_growth_compounding.md, references/fmp_api_guide.md, references/rsi_oversold_strategy.md, scripts/screen_dividend_growth_rsi.py
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- Veeramanikandanr48
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Documentation
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)
Step 1: Set API Keys
Two-Stage Approach (RECOMMENDED) For optimal performance, use FINVIZ Elite API for pre-screening + FMP API for detailed analysis: # 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: 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): cd dividend-growth-pullback-screener/scripts python3 screen_dividend_growth_rsi.py --use-finviz This executes: FINVIZ pre-screen: Dividend yield 0.5-3%, Dividend growth 10%+, EPS growth 5%+, Sales growth 5%+, RSI <40 FMP detailed analysis: Verify 12%+ dividend CAGR, calculate exact RSI, analyze fundamentals FMP-Only Screening: python3 screen_dividend_growth_rsi.py --max-candidates 40 Customization Options: # Two-stage with custom parameters python3 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 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 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: 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 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
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.
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.
No Results Found
Possible Causes: Market conditions: Strong bull market with few oversold stocks Criteria too strict: 12% dividend growth is rare (5-10 stocks typically qualify) 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) python3 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 python3 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: Market News Analyst → Identify sector rotations or market pullbacks Breadth Chart Analyst → Confirm broader market oversold conditions Economic Calendar Fetcher → Check for upcoming rate decisions or macro events Post-Screening Analysis: Technical Analyst → Analyze individual stock charts for qualified candidates US Stock Analysis → Deep dive on specific stocks before entry 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
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.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs1 Scripts
- SKILL.md
- references/dividend_growth_compounding.md
- references/fmp_api_guide.md
- references/rsi_oversold_strategy.md
- scripts/screen_dividend_growth_rsi.py