Alternative data datasets
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Apple 2015-2025: Finance × Trends × Insights
Use for Foundation Models, GNNs, and More
Alternative credit data for thin-file users in Africa, published as a Parquet file with under 1,000 records and indexed through the Electric Sheep Africa catalog for discovery.
A Parquet file of annual inflation as measured by consumer prices for Africa, sourced from World Bank gender and regional statistics, indexed by Electric Sheep Africa for African data discovery and released in the 1K–10K row range.
A corpus of SEC EDGAR filings in English (Apache 2.0), roughly a few hundred thousand company documents including annual and quarterly reports and exhibits. The filings text is organized for model pretraining and retrieval, but the same documents are the raw material for filings-based and disclosure signals.
Alphabet (GOOGL, GOOG) Quarterly Tables + Prices for Investors & Analysts
Structured numeric records parsed from corporate filings such as 10-K, 10-Q, and 8-K submissions to the U.S. SEC. The figures are packaged inside a compressed DuckDB instance made available through the open-source Datapond registry for fast querying.
A dataset from ESG Book supplying firm-level sustainability indicators aligned with the Sustainable Finance Disclosure Regulation's reporting requirements.
Rates & Volumes for 1998-2017
Financial data parsed from 10-Q, 10-Q/A, 10-K, 10-K/A SEC filings from 2010.
20 Years of Quarterly Earning Call Transcripts of Apple (2005-2025)
Indian equity market price history covering NSE-listed stocks and indices from 2000 through 2026, offered in Parquet shards of roughly 1.5GB each for efficient streaming on the Hugging Face hub. The collection draws on more than 2,500 tickers and supports both minute-level and end-of-day intervals.
Coverage of worldwide mergers and acquisitions activity, including asset purchases, private equity transactions, equity and debt issuances, and sustainable-finance bond offerings.
S&P 500 earnings-call transcripts preprocessed into optimized Parquet, tens of thousands of calls (MIT). Ready for sentiment, QA and summarization research on the large-cap earnings season.
Data from legally mandated personal finance disclosure documents
Interview-based service letting finance and strategy practitioners identify and schedule industry specialists for consultations.
A sampled extraction of IPO-related tables from SEC filings between 1994 and 2026, delivering raw table HTML with provenance fields and targeting roughly 100 tables per year, with edge years possibly containing fewer valid extractions.
Text of IPO filings, including S-1 and related prospectuses, in JSON: hundreds of thousands of records in English (CC BY 4.0). Pre-IPO disclosure text is one of the few information sources available ahead of a listing.
Granular Day Ahead Electricity Prices for France and Interconnections
Earnings call transcripts for S&P 500 and other large U.S. companies covering 2005 through 2025, useful for financial research, natural language processing, and sentiment analysis.
72 Financial Indicators of all companies from S&P500
S&P500 companies Insider Trading with large wallets such as CEO, Director etc..
Tesla insider trading with large wallets such as CEO, Director, Chief etc.
Independent fixed-income price evaluations and credit benchmark indices published by Intercontinental Exchange.
Daily OHLCV data for Alphabet Inc. GOOGL from its IPO to the present day
A consolidated, ready-to-use repository of 13F institutional holdings drawn from SEC EDGAR filings, capturing the most recent quarterly disclosures of more than 13,000 investment managers including hedge funds, mutual fund complexes, pension funds, banks, and family offices, with each record summarizing total assets under management and individual positions.
Historical Data from SEC Company Filings
A joint release by Datamule, Teraflop AI, and Eventual provides the SEC-EDGAR dataset, comprising 590 GB of content drawn from all major filings in the SEC EDGAR database and totaling roughly 8 million samples and 43 billion tokens. The data was assembled using the datamule-python library and the official datamule API developed by John Friedman, with datamule serving as a Python package for collecting and manipulating such records.
Indonesian Energy News with Multidimensional Scoring and Regulatory Tags
Earnings-call transcripts from an IBM research project, tens of thousands of records with finance tags, in CC0. A filings-adjacent corpus for call-tone and question-and-answer analysis.
Contains balance sheet, income statement and cash flow data in IDX
Datamule partnered with Teraflop AI and Eventual to publish the SEC-EDGAR dataset, which covers all major filings from the SEC EDGAR database and amounts to 590 GB across about 8 million samples and 43 billion tokens. Collection relied on the datamule-python library and John Friedman's official datamule API, tools designed in Python for gathering and handling SEC filing data.
Understand the economic state of the American Middle Class with this dataset
Historical daily prices, volumes, connected options' data of US bond ETFs.
Earnings-call transcripts for S&P 500 companies, tens of thousands of calls in English with timestamps, in Parquet (MIT). Direct input for call-tone and question-and-answer sentiment analysis across the large-cap earnings cycle.
A collection of widely used datasets covering sustainable finance and responsible investment research.
20 year stock dataset of military arms corporation
Unlocking Real Estate Insights: Analyzing, Visualizing, and Predict with ML
25K Indian loan applicants with realistic CIBIL-based risk
AI-scored ethics for 500 companies
2.8K+ venture funding rounds across 35 countries & 20 sectors with investor data
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.
Macroeconomics, Trade Sanctions, Energy Grids,and Semiconductor Flows(2015-2026)
EDGAR filings of companies
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.
Complete filing metadata & URLs for institutional holdings, insider trades, etc
Complete filing metadata and URLs for 8 core SEC forms across Q1-Q4 2024
Complete filing metadata and URLs for all 8-K material event disclosures in Q4
Complete filing metadata and URLs for 82,000+ annual report filings (July-Dec)
Complete filing metadata and URLs for all insider transaction filings
High-Conviction Insider Trading & Institutional Holding Signals
Can you predict if a company/product pitch would succeed in Shark tank?
Stocks Quarterly Earnings This dataset includes quarterly earnings report data for various stocks. 355,371 rows over 6,406 symbols, 8 columns, covering 1996-01-31 to 2026-07-31. Refreshed monthly. Strategies Built on This Data 490 papers in the Papers With Backtest catalogue declare this dataset as an input. 456 of them have been coded and run over their own full history. The median replicated Sha
Stocks Weekly Earnings Surprise Weekly earnings surprise probabilities and outcomes for publicly traded companies. 2,204,032 rows over 6,067 symbols, 8 columns, covering 2016-12-30 to 2026-07-03. Refreshed monthly. Why It Matters This dataset supplies high-frequency earnings-surprise context for equity strategies by: Pre-event positioning: Surprise probabilities guide sizing and hedging ahead of e
Valuations, countries, industries & investors for 1,200+ unicorn startups
View source information and access options.
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
A daily record of trading activity across multiple major global stock market indices, structured for trend analysis and forecasting work in international equity markets.
Explaining the ease of doing business rankings
Extracted 10k fillings from SEC Edgar for the fiscal year 2021