data-quality-checker

Overview

Detect common data quality issues in market analysis documents before publication. The checker validates five categories: price scale consistency, instrument notation, date/weekday accuracy, allocation totals, and unit usage. All findings are advisory -- they flag potential issues for human review rather than blocking publication.

When to Use

• Before publishing a weekly strategy blog or market analysis report
• After generating automated market summaries
• When reviewing translated documents (English/Japanese) for data accuracy
• When combining data from multiple sources (FRED, FMP, FINVIZ) into one report
• As a pre-flight check for any document containing financial data

Prerequisites