Validate data quality in market analysis documents and blog articles before publication. Use when checking for price scale inconsistencies (ETF vs futures),…
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
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