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.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondividend-growth-pullback-screenerExecute the skills CLI command in your project's root directory to begin installation:
Fetches dividend-growth-pullback-screener from tradermonty/claude-trading-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate dividend-growth-pullback-screener. Access via /dividend-growth-pullback-screener in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Research competitors, compare features, identify gaps
Example
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Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
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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.
Use this skill when:
Do NOT use when:
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?
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.
Two-Stage Screening (RECOMMENDED):
cd dividend-growth-pullback-screener/scripts
python3 screen_dividend_growth_rsi.py --use-finviz
This executes:
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
The script generates two outputs:
JSON file: dividend_growth_pullback_results_YYYY-MM-DD.json
Markdown report: dividend_growth_pullback_screening_YYYY-MM-DD.md
For each qualified stock, the report includes:
Dividend Growth Profile:
Technical Timing:
Quality Metrics:
Investment Recommendation:
Initial Filter:
Dividend Growth Analysis:
Financial Health:
RSI Calculation:
RSI Filter:
40: Not oversold (excluded)
Composite Scoring (0-100):
Stocks ranked by composite score. Top scorers combine exceptional dividend growth with attractive technical entry points.
RSI 25-30 (Extreme Oversold):
RSI 30-35 (Strong Oversold):
RSI 35-40 (Early Pullback):
12% Dividend CAGR (Minimum Threshold):
15% Dividend CAGR (Excellent):
20% Dividend CAGR (Exceptional):
Key Insight: Lower starting yield + high growth > high starting yield + low growth over 10+ years.
Possible Causes:
Solutions:
--rsi-max 45 (early pullback phase)--min-div-growth 10.0 (still excellent growth)--min-yield 1.0 (capture more growth stocks)FMP Free Tier Limits:
Solutions:
1. Use FINVIZ Two-Stage Approach (RECOMMENDED)
python3 screen_dividend_growth_rsi.py --use-finviz
2. Limit FMP-Only Candidates
python3 screen_dividend_growth_rsi.py --max-candidates 40
3. Wait 24 Hours for Rate Limit Reset
4. Upgrade to FMP Paid Plan
Note: FINVIZ Elite subscription ($40/month) + FMP free tier is more cost-effective than FMP paid plans for this use case.
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.
Pre-Screening Context:
Post-Screening Analysis:
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
screen_dividend_growth_rsi.py - Main screening script
rsi_oversold_strategy.md - RSI indicator explanation
dividend_growth_compounding.md - Dividend growth mathematics
fmp_api_guide.md - API usage documentation
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.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Registry listing for dividend-growth-pullback-screener matched our evaluation — installs cleanly and behaves as described in the markdown.
dividend-growth-pullback-screener has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: dividend-growth-pullback-screener is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in dividend-growth-pullback-screener — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: dividend-growth-pullback-screener is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in dividend-growth-pullback-screener — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for dividend-growth-pullback-screener matched our evaluation — installs cleanly and behaves as described in the markdown.
dividend-growth-pullback-screener has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: dividend-growth-pullback-screener is focused, and the summary matches what you get after install.
dividend-growth-pullback-screener is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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