Alternative data datasets
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A subscription-based feed providing ongoing data delivery.
Recurring subscription offering with ongoing data access.
Historical records extending back more than ten years.
Wallet labeling service that identifies high-performing addresses and monitors their token activity.
A distribution platform, previously known as Quandl, delivers both alternative and traditional financial datasets.
Directory of more than 600,000 Austrian businesses containing legal classifications, industry segment details, executive names, and financial figures such as turnover and profit.
Records on over 26 million French enterprises, each with corporate legal data, industry classification, officer listings, and financial indicators like revenue and earnings.
Information on more than 1.5 million Swiss firms, including legal status, sector classification, leadership, complete corporate timeline, and associated individual records.
Business registry entries covering Cyprus, Guernsey, Liechtenstein, Luxembourg, Malta, and Monaco.
Compilation of over 11 million UK-registered companies, featuring legal particulars, industry sector codes, director details, and financial metrics such as income and profit.
Hotel Performance and Revenue Insights 2024 🏨💼💵
International airlines data for operated seats and flights
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
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A worldwide schedule of corporate actions such as dividend payments, stock splits, and shareholder meetings.
Minute- and daily-resolution price histories for more than 2,500 National Stock Exchange securities and indices from 2000 through 2026 are consolidated into roughly 1.5 gigabyte Parquet shards to enable rapid streaming on Hugging Face infrastructure.
Cleaned and standardized loan-level records from Fannie Mae, Freddie Mac, and Ginnie Mae covering the mortgage-backed securities market.
Cleaned and standardized loan-level records from Fannie Mae, Freddie Mac, and Ginnie Mae covering a 12-month historical window.
Standardized financial statement records aligned with NACE industry classifications, delivered in an analytics-friendly format with rights cleared for machine learning and artificial intelligence development.
Cross-industry financial statement data normalized to NACE codes, pre-processed for analytical use and permitted for training AI and ML models.
Standardized financial statement data aligned with NACE classifications, formatted for analytics and cleared for use in AI and machine learning model development.
NACE-aligned financial reporting records prepared for downstream analytics and authorized for use in artificial intelligence and machine learning model development.
Financial statement information standardized along the NACE taxonomy, packaged for analytical workflows and licensed to support AI and ML training activities.
Industry-coded financial statements harmonized via NACE, supplied in a form ready for analysis and cleared for artificial intelligence and machine learning purposes.
A consolidated set of NACE-mapped financial statements ready for data analysis and permitted to be used in training AI and machine learning models.
NACE-standardized financial statement data, formatted for analytics pipelines and licensed for building AI systems and machine learning algorithms.
Curated financial reporting records classified under NACE, engineered for analytical workloads and licensed for artificial intelligence and machine learning training.
Standardized financial statement data aligned with NACE classifications, formatted for analytics and cleared for use in AI and machine learning model development.
Financial statements aligned to NACE industry categories, structured for analytic consumption and approved for use in AI and ML model training.
NACE-harmonized financial statement datasets delivered in an analytics-ready state with licensing terms covering AI and machine learning model training.
Standardized financial reporting records mapped to NACE industry classifications, prepared for analytics use and cleared for machine learning applications.
Normalized financial indicators for publicly traded companies, reconciled to account for varying reporting standards.
Worldwide estimates derived from modeling, projections, and analytical research efforts.
S3 Partners intraday short interest data combined with enhanced risk analytics and securities financing information.
S3 Partners short interest figures updated with exchange-reported totals as of each publication date.
S3 Partners short interest data paired with enhanced risk analytics and securities financing details.
Indian stock market price history spanning 2000 to 2026 for over 2,500 NSE-listed stocks and indices, packaged in large Parquet shards around 1.5 GB each for efficient streaming.
Cost Data for U.S. Airlines, 90 Oservations On 6 Firms For 15 Years, 1970-1984
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A suite of core financial analytics covering every SEC EDGAR filing type, including 10-K, 10-Q, and 8-K submissions.
Aggregated daily short selling volume information from TRF and ADF for transactions in exchange-traded securities.
30 airlines × 17 years financials, Boeing vs Airbus order book
Daily United States pre-foreclosure listings capturing property information, ownership, loan details, assessed valuation, and loan-to-value metrics.
Residential real estate indicators including home valuations, rental rates, housing inventory, and geographic descriptors at the ZIP code level, designed for property analytics in Snowflake.
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Quantitative insider trading records intended to support alpha-generating investment strategies.
Unified collection pulling together ninety-plus open-source data providers.
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Anticipatory, confidence-adjusted forecast metrics for stocks traded on US exchanges.
Prospective, reliability-calibrated prediction ratings for American listed companies.
Future-oriented predictive evaluations weighted by certainty for United States equities.
Predictive outlook figures incorporating confidence levels for US-listed stocks.
Monthly Provincial Data on Tourist Numbers, Occupancy, and Revenue (2019-2023)
Extensive United States pharmaceutical reference data is available to support regulatory, clinical safety, and research workflows.
Indian Domestic Airline Flights 2018-2025 (TsFile) Apache TsFile version of Gokul99400/IndianDomesticAirlineDataset. Overview Indian domestic airline schedule records covering 2018-2025 across ~100 airports: airline, flight number, route, operating days of week, scheduled departure/arrival times and the schedule validity window (validFrom..validTo). The repo ships two CSVs: Air-Clean.csv (33,734 d
Split/bonus/dividend-adjusted daily prices, earnings, insider trades, flows
Examination of insider trading filings from SEC Form 4 submissions.