
Report Stock
This generates professional stock analysis reports in markdown or PDF format, pulling together trend analysis, PMCC options data, fundamentals, Piotroski scores, and spread strategies into one document. You pass it a ticker symbol and it runs the report script, formats everything according to a template, and optionally converts to PDF. It's honestly a smart aggregation layer if you're already using the underlying trading-skills package and want polished reports instead of raw JSON. The output is comprehensive, maybe almost too much, covering everything from RSI and MACD to insider trading and iron condor spreads. Good for regular portfolio reviews or when you need to share analysis with someone who doesn't want to parse data themselves.
- skills.sh installs
- 117
- GitHub stars
- 406
- last updated
- Jun 11, 2026
Install
$ npx -y skills add staskh/trading_skills --skill report-stock --agent claude-codeInstalls into .claude/skills of the current project.
Files
Stock Analysis Report Generator
Generates professional reports with comprehensive stock analysis including trend analysis, PMCC viability, and fundamental metrics. Supports both PDF and markdown output formats.
Instructions
Step 1: Gather Data
Run the report script for each symbol:
uv run python scripts/report.py SYMBOL
The script returns detailed JSON with:
recommendation- Overall recommendation with strengths/riskscompany- Company info (name, sector, industry, market cap)trend_analysis- Bullish scanner results (score, RSI, MACD, ADX, SMAs)pmcc_analysis- PMCC viability (score, LEAPS/short details, metrics)fundamentals- Valuation, profitability, dividend, balance sheet, earnings historypiotroski- F-Score breakdown with all 9 criteriaspread_strategies- Option spread analysis (vertical spreads, straddle, strangle, iron condor)
Step 2: Generate Report
Step 2a — Write markdown
Read templates/markdown-template.md for formatting instructions. Generate a markdown report from the JSON data and save to sandbox/ as:
sandbox/{SYMBOL}_Analysis_Report_{YYYY-MM-DD}_{HHmm}.md
Sponsors
Details
- Repository
- github.com/staskh/trading_skills
- Category
- Finance & Trading
- License
- MIT
- First seen
- Jun 11, 2026
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