Alternative data datasets
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44K+ adidas product rows across 10 markets with price and stock signals.
1.44M+ Nike size rows across 45 countries with price and stock signals.
Sample point-of-interest records with geographic coordinates, mailing addresses, associated stock symbols, and additional fields for every Dutch Bros Coffee outlet.
A points-of-interest sample featuring coordinates, mailing addresses, stock symbols, and other fields for every U.S. Walmart store.
A collection of earnings call transcripts covering S&P 500 firms and other U.S. large-cap companies across the years 2005 through 2025, intended for financial analysis, NLP modeling, and sentiment research.
Automotive datasets on vehicle prices, dealer stock and transaction volumes widely used by industry analysts.
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
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.
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.
Supply chain optimization tool that uses machine learning to project demand and manage stock levels.
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.
20 year stock dataset of military arms corporation
Tap into one of the most extensive automotive-listing repositories, including vehicle specifications, sales transactions, stock levels, and related attributes.
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.
Information covering pay packages for senior leaders and board members, makeup of boards of directors, stock option grants, and ratios comparing executive compensation to median employee earnings.
Research marketplace for locating subject authorities and commissioning first-hand studies from practitioners.
A worldwide schedule of corporate actions such as dividend payments, stock splits, and shareholder meetings.
A real-time stream of submissions and engagement metrics from the WallStreetBets forum curated by Quiver Quantitative and distributed through BattleFin, used to gauge retail investor mood toward stocks.
Cleaned US Stock market insider trades, 3M+ rows, ready for ML & analysis
Historical stock price data for NASDAQ
Asia-Pacific web-traffic figures linked to more than three thousand stock tickers, with automatic alignment between listed entities and their corporate parents or subsidiaries.
Anticipatory, confidence-adjusted forecast metrics for stocks traded on US exchanges.
Predictive outlook figures incorporating confidence levels for US-listed stocks.
Examination of insider trading filings from SEC Form 4 submissions.
Cleaned, quality-flagged insider transactions and buying clusters, Jan 2024
Stock-symbol-linked customer feedback and earnings call texts are processed with natural language processing to derive sentiment indicators, helping assess ESG exposure and brand perception.
Historical records of dividend distributions listed on stock exchanges around the world.
The 2024 Earnings Call Transcript dataset, published by yeong-hwan on Hugging Face, aggregates quarterly earnings call dialogue for individual stock tickers. It is distributed as a JSON table with 1,904 rows in a single train split.
Normalized stock-trade disclosures filed by U.S. House and Senate members under the STOCK Act, regenerated on a schedule by the repository's own pipeline rather than curated manually.