Alternative data datasets
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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
munich2drive_edgar Surround-camera driving clips from a real Munich HD map built by SimForge, each paired with the ego vehicle's full trajectory. Every clip is a nine-panel video -- six surround cameras at the ego's real sensor extrinsics, a chase view, a bird's-eye view, and the frame-locked CommonRoad ground truth -- so what the model sees and what the data says are visible side by side. The ego
A historical, quarterly index of U.S. public company 10-K and 10-Q filings
CoER RL Project page · Paper · Code Executable task configurations for Stage 2 bilateral Co-PPO, with separate training and internal-validation splits. These are not generated rollouts or the official evaluation panel. Contents Split File Size train train.parquet 12,705 configurations validation validation.parquet 3,186 configurations Training and validation configurations are disjoint. Internal v
SEC EDGAR 10-K & 10-Q financial statements for 2,600+ NASDAQ companies.
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.
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.
Parsed SEC EDGAR Form 4 insider trades, as tranches and scored events
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.
Cleaned, quality-flagged insider transactions and buying clusters, Jan 2024
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.