Alternative data datasets
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Brand-level search performance figures tracked monthly and segmented by age group for fifty beauty technology and Korean cosmetics companies.
Monthly search exposure metrics organized for ninety luxury labels, indicating consumer interest patterns over time.
Monthly search exposure metrics organized for ninety luxury labels, indicating consumer interest patterns over time.
A curated collection of earnings call recordings broken into intelligent segments and paired with high-accuracy transcripts produced by Mistral's Voxtral model, intended for ASR benchmarking, transcription quality studies, and audio-to-text alignment research.
FINRA Short Interest, last 12 months Shares sold short for every exchange-listed and OTC security, twice a month, for the last 12 months (522,296 rows): short shares, change from the prior report, average daily volume and days to cover. import pandas as pd df = pd.read_parquet("hf://datasets/FinzData/finra-short-interest/data/short_interest.parquet") df[df.ticker == "GME"] In the full FinzData dat
Over fifteen years of daily trailing and calendar-year total return figures are available for more than 32,000 US mutual funds and ETFs.
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.
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GDELT, a long-running global news monitoring effort tracking events, tone and geographic references with fifteen-minute refresh cycles.
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Live news search and analytics platform that automatically identifies entities and labels events as they occur.
🇮🇳 Indian Stock Market Data: Minute & Daily (2000 - 2026) 📌 Overview This is a high-performance financial dataset containing the historical price history of 2,500+ NSE Stocks and Indices. The dataset has been sharded and optimized for high-speed training. Instead of thousands of tiny files, it is grouped into large ~1.5GB Parquet shards, making it ideal for fast streaming with the Hugging Face dat
Japan listed firms receive analyst consensus projections refreshed every business day.
Japanese public companies have their consensus forecasts refreshed on a daily schedule.
Analytics service that converts global news streams into event signals and assigns impact scores to corporate and macroeconomic developments.
country and city wise listed hotels
🇮🇳 Indian Stock Market Data: Minute & Daily (2000 - 2026) 📌 Overview This is a high-performance financial dataset containing the historical price history of 2,500+ NSE Stocks and Indices. The dataset has been sharded and optimized for high-speed training. Instead of thousands of tiny files, it is grouped into large ~1.5GB Parquet shards, making it ideal for fast streaming with the Hugging Face dat
**Subtitle:** Hotel Booking & Revenue Analysis Dataset, Insights into Bookings,
“An updated 2024 dataset for hotel booking demand and cancellation analysis” “A
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
Aggregated analyst projections for corporate profits and sales, combined with price targets and professional buy or sell ratings.
Data on ownership by large financial institutions, trades by company insiders, mutual fund stakes, official regulatory submissions, and short selling positions.
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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.
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 🏨💼💵
FDA-regulated products and events exposed as structured JSON: adverse drug-event reports, device recalls and registrations, labels, the NDC directory and food enforcement, used for pharmacovigilance and regulatory-risk screens.
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
Country-wide geographic risk mapping that includes seismic events, slope failures, ground collapses, volcanic eruptions, and unsafe soil types.
Extensive archive documenting severe weather incidents such as tropical cyclones, hailstorms, tornadoes, and damaging wind events.
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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.