LEGAL
SEC Filing Extractor
Automated extraction of 10-K, 10-Q, and 8-K filings with structured financial data output. Parses XBRL data and delivers normalized figures for quantitative analysis.
The challenge.
A quantitative hedge fund needed structured financial data from SEC filings within minutes of publication — not hours or days like commercial data providers. They required raw XBRL-tagged figures parsed into a consistent schema across different filers, filing types, and reporting periods.
The approach.
EDGAR Full-Text Search Integration
Built a real-time listener on SEC EDGAR's full-text RSS feed that detects new 10-K, 10-Q, and 8-K filings within 60 seconds of publication. Filters by a configurable watchlist of 1,200+ tickers.
XBRL Parsing Engine
Developed a custom XBRL parser that handles both inline XBRL (iXBRL) and traditional XBRL formats. Maps US-GAAP and IFRS taxonomy elements to a unified financial data schema with 180+ standardized metrics.
Data Normalization
Resolved common XBRL inconsistencies: different fiscal year ends, restated figures, segment-level vs. consolidated data, and custom extension taxonomies. Applied unit conversion and scale factor normalization automatically.
Low-Latency Delivery
Parsed data pushed to a PostgreSQL database and simultaneously delivered via webhook to the fund's internal systems. Average end-to-end latency from SEC publication to structured data delivery: 3.2 minutes.
Sample output.
{
"ticker": "NVDA",
"filing_type": "10-Q",
"period_end": "2024-10-27",
"revenue": 35082000000,
"net_income": 19309000000,
"eps_diluted": 0.78
}The results.
Filings processed daily
Avg processing latency
Financial metrics parsed
Parse accuracy
Tech stack.
Ready to get your data?
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