Developer releases normalized S&P 500 SEC financial data to cut XBRL parsing pain

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A developer has published a cleaned, normalized dataset of S&P 500 financial filings sourced from the SEC's EDGAR system, aiming to eliminate the tedious data-wrangling that analysts typically face. SEC XBRL filings are notoriously inconsistent, with filers using different concept tags, varying unit scales, and complex dimensional contexts that make direct parsing error-prone. The dataset, processed through a pipeline called Filingrail, covers income statements, balance sheets, and cash flow data in a flat CSV format with all figures standardized to USD. Each row is keyed by company, statement type, and reporting period, and includes accession numbers linking back to the original EDGAR filing for verification. A free 100-row sample drawn from the full 380,946-row dataset is available for direct download without requiring a signup.

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