file-save-protocol-stock

To persist stock analysis results and prevent data loss, write outputs to disk using the Write tool, enforcing JSON and Markdown storage with a mandatory output_path for traceability and reproducibility.

Creating an audit trail for ETF screening workflows involves saving both JSON data and Markdown human-readable summaries to a session folder, ensuring all valuation and risk assessment artifacts are traceable.

Handling write errors when saving financial analysis data requires returning explicit FAIL responses on write errors and never reporting success when storage fails, ensuring clear error handling and data integrity.

Reproducible stock analysis storage requires path coordination using the coordinator-provided output_path with a fixed file-naming scheme to ensure artifacts remain traceable across multiple analysis sessions.

Stock analysis workflows lose context during risk assessment if analysis outputs are not written to disk, making mandatory persistence essential to avoid hallucination and ensure end-to-end reproducibility.