Alternative data datasets
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Index of filings submitted to the Securities & Exchange Commission since 1993
Catalog of SEC filings dating back to 1993, providing a navigational guide to the EDGAR archive.
phase1-metadata is a tabular dataset published by open-edgar-sec that consolidates SEC filing-level and entity-level attributes for publicly registered companies. It is distributed as parquet with a single training split of 37,547 rows and targets analysts building reproducible pipelines over public filings.
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Penumbra AI SEC 10-K Risk Factor Disclosures (S&P 500, FY2025-2026) Dataset Summary This dataset contains a sample of 2,683 individual risk factor disclosures from the most recent Form 10-K filing of 50 S&P 500 companies (fiscal year ends ranging from May 2025 to February 2026). Each record is a single risk driver — one discrete point a company disclosed under "Risk Factors" — together with the ve
Complete textual SEC 10-K annual filings from 2021, suited for studying corporate disclosures and natural language processing tasks.
Extracted 10k fillings from SEC Edgar for the fiscal year 2021
Search filings on SEC EDGAR using ticker symbols, CIK identifiers, SIC industry codes, or free-text queries, returning a single structured row per filing that includes company classification, period dates, direct links to source documents, and optional XBRL financial data. The dataset contains 2,691 rows across 27 fields, supported by 64 collector runs, with the latest observation dated 2026-08-04, and covers 771 entities, browsable at https://reapx.dev/data/sec-edgar-scraper/.
Public access to SEC filings and related submissions/XBRL data APIs. Filing forms differ in scope, structure and reporting delay; amendments and publication timestamps matter for historical research.
Parquet and csv files associating CIK (Central Index Key) with filing entities
JSON data file for SEC conformed company name, CIK, ticker, exchange association
Text of SEC filings pulled from EDGAR spanning millions of records in English (Apache 2.0): 10-K, 10-Q, 8-K, annual reports and exhibits, tagged for text-generation and classification. A practical base corpus for earnings- and filings-driven signals, from risk factors and MD&A to management commentary.
8 size-normalized financial ratios for ~440 US companies from SEC EDGAR 10-Ks
Raw 10-K financials for 442 US companies extracted from SEC EDGAR
A historical, quarterly index of U.S. public company 10-K and 10-Q filings
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A leak-free, chronologically ordered corpus of 8-K, 10-Q, and 10-K filings for roughly 610 present-day U.S. large-cap companies, each paired with objective forward-return labels through 2026. The release is structured as a benchmark for testing whether filing language can anticipate subsequent stock performance, with clearly separated provenance classes.
Drawn from SEC EDGAR's full archive of millions of filings spanning all form types and US public companies, this sample isolates 1,000 recent 8-K material event submissions together with their filing metadata and document references.
SEC EDGAR filings covering asset-backed securities and equity offerings.
A dataset drawn from 10-D filings posted on the SEC EDGAR system.
An extensive archive of SEC EDGAR submissions from company filings, organized by CIK, document type, and date, and accessible through a live REST API at api.ai-analytics.org.
Metadata for every EDGAR filing submitted to the U.S. Securities and Exchange Commission from 1994 through December 14, 2024, derived from the quarterly master index files and including CIKs, issuer names, and form types.
AlphaAI's near-real-time parse of SEC EDGAR Form 4 filings, providing 20,832 individual insider transaction tranches and 8,538 grouped economic events for US public-company officers, directors, and 10% owners.
FinSight gathers plain-text 10-K and 10-Q SEC filings for twenty major US public firms spanning six sectors, yielding 97 records intended for BERT fine-tuning, retrieval-augmented generation, and multi-agent financial research.
A suite of core financial analytics covering every SEC EDGAR filing type, including 10-K, 10-Q, and 8-K submissions.
Keyword frequencies, LDA topics & store counts from SEC EDGAR (FY1996-2025)
Normalized financial statements drawn from the SEC Financial Statement Data Sets and company-facts services, both built on the EDGAR APIs and spanning reported results across filers.
10-K annual filings from EDGAR in Parquet, tens of thousands of documents. The standard annual-disclosure corpus for fundamentals, risk-factor and management-discussion analysis.
ZipLime US Insider Trading Disclosures (PIT) [!CAUTION] Use knowledge_date, not transaction_date, when backtesting. transaction_date says when a trade occurred; knowledge_date says when the filing became observable through EDGAR. Using the former as the signal date introduces look-ahead bias. visible = trades.filter(pl.col("knowledge_date") <= simulation_time) This dataset normalizes corporate-ins
A curated collection of SEC EDGAR filings from recent and upcoming IPO companies, containing 5,179 text segments sourced from 261 filings, formatted for large language model training and financial analysis.