Data Dictionary

What does each column mean? Every FullStockData order delivers up to 90 fields across 6 data bundles. Mix and match the bundles you need in the configurator — below is the complete field list for each, with a plain-English description of every column.

Coverage note:identifiers, company profile, performance and most technical and volume signals are populated broadly across the universe. Financial fundamentals depend on each company's filings, so coverage varies by field: core figures like market_cap (~85%; its FX-normalized twin market_cap_usd additionally depends on FX-rate availability for non-USD listings), revenue_ttm (~67%) and eps_ttm (~61%) are the strongest, while the valuation ratios pe_ttm (~42%), forward_pe (~40%) and dividend_yield (~35%) are populated mainly for US and European large- and mid-caps. Long moving averages (sma_50, sma_200) need enough price history, so younger listings land empty. Fields with no source value are delivered empty, never imputed. Datasets are delivered as-is; see our Terms of Sale.

List-valued fields: thematics holds a list of themes per company. In CSV deliveries list values are JSON-encoded in the cell — e.g. ["AI", "Cloud"] — so any JSON parser (or a spreadsheet formula) reads them back losslessly; NDJSON and Parquet deliveries carry them as native arrays.