What formats are financial datasets in?

CSV, Parquet, SQLite, and Arrow are the primary formats for financial data on LabelSets. Parquet is recommended for large tick-data datasets due to efficient columnar compression.

Can I sell proprietary financial datasets?

Yes, if you hold the data rights. Upload your dataset, set a price, and earn 85% of every sale. Financial datasets that include personally identifiable information must be anonymized before uploading.

Dataset Category

Financial & Market Datasets for AI

Labeled financial datasets for market prediction, fraud detection, risk modeling, and quant strategies. CSV, Parquet, SQLite — quality-verified.

Browse Financial Datasets → Sell Your Dataset

Financial AI Tasks Covered

From market microstructure to earnings sentiment, find the labeled data your financial model needs.

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Market Sentiment

Financial news articles, earnings call transcripts, and analyst reports labeled with bullish/bearish sentiment and market impact scores.

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Crypto & Blockchain

Crypto price OHLCV data, on-chain transaction graphs, and social sentiment datasets labeled for price movement prediction.

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Fraud Detection

Transaction datasets with labeled fraud/legitimate cases for training anomaly detection and classification models.

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Price & Tick Data

Historical OHLCV, tick-by-tick, and order book snapshots with event labels for backtesting and model training.

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Credit & Risk

Anonymized loan application datasets with default labels, and credit scoring features for risk model development.

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Alternative Data

Web-scraped, satellite, and proprietary alternative data sources with financial performance correlation labels.

Frequently Asked Questions

Stock and crypto price data, earnings call transcripts with sentiment labels, financial news with market impact labels, fraud and anomaly detection datasets, credit scoring data, and alternative data sets.

CSV, Parquet, SQLite, and Arrow are the primary formats. Parquet is recommended for large tick-data datasets due to efficient columnar compression and fast read times with pandas and polars.

Yes, if you hold the data rights. Financial datasets with personal information (names, account numbers) must be anonymized before uploading. Upload, pass verification, set a price, and earn 85% of every sale.

Suitability depends on the specific dataset — check the listing description for coverage dates, frequency, and any survivorship bias disclosures. Sellers are encouraged to document data provenance clearly.