trade-report-pdf

To generate a PDF report from multiple stock analysis markdown files, use a tool that automatically scans for TRADE-*.md files, extracts scores and signals into a JSON payload, and outputs a professional PDF document. This Skill handles that end-to-end workflow.

Yes, you can consolidate portfolio summaries and watchlists into a single PDF document. This Skill aggregates multiple stock analyses, screens, and earnings calendars from TRADE-*.md files into a unified executive summary report.

Generating a trade report PDF requires the reportlab Python dependency. The Skill includes built-in dependency checks and error handling to ensure the PDF generator runs smoothly within your current environment.

The best way to automate investment report generation from markdown files is using a script-based approach that discovers TRADE-*.md analyses, builds a structured JSON payload, and invokes a Python-based PDF generator to ensure consistency across reports.

Data aggregation from markdown files into a PDF report works by discovering TRADE-*.md files, extracting key findings and signals, structuring the data into a JSON payload, and passing it to a Python-based PDF generator for final document rendering.

You should not use automated PDF generation for trading analysis when your source files do not follow the TRADE-*.md naming convention, as the discovery mechanism specifically targets and extracts data from files matching that format.