#1
U.S. Economic Census - Wholesale Trade (NAICS 424)
- Coverage
- United States: national aggregate, all 50 states
Industry hub · Financial exchanges & data data provider
Financial Exchanges & Data Data Provider
Datadory covers financial exchanges & data data provider with 11 datasets spanning U.S. Economic Census - Wholesale Trade (NAICS 424) , Massive (formerly Polygon.io) Stock Market API and BIS Statistics Exchange and Derivatives Data . Delivered daily, weekly, or hourly — your call.
11 datasets 2 publishers Delivery: API, files, or your warehouse. Daily, weekly, or hourly.
The manifest
Every catch in this slice, ranked by our quality rubric — depth of documentation, freshness, breadth. Pick one, sample it, ship it.
#2
Massive (formerly Polygon.io) Stock Market API
- Coverage
- United States - all US exchanges, dark pools and OTC…
#3 Bank for International Settlements (BIS)
BIS Statistics Exchange and Derivatives Data
- Coverage
- More than 40 economies plus G20, advanced-economy and…
#4 Alpha Vantage Inc.
Alpha Vantage Stock and Financial Market Data API
- Coverage
- Global equities across major exchanges (US-focused core…
#5
Annual Integrated Economic Survey (AIES) - successor to AWTS
- Coverage
- United States - national totals, all 50 states plus the…
#6 USDA Economic Research Service
USDA ERS Food Dollar Series
- Coverage
- United States - national totals only
Plus 5 more in this slice — each with its field dictionary and sample rows on its own page.
The lay of the water
Where financial exchanges & data data provider data actually comes from.
Pick your catch
Three to start with. The rest of the board is above.
Financial exchanges & data data provider United States: national aggregate, all… · Census years ending in 2 and 7
U.S. Economic Census - Wholesale Trade (NAICS 424)
GEO_ID · GEO_LABEL · SECTOR …+14 more
Financial exchanges & data data provider United States - all US exchanges, dark… · Stocks from 2003
Massive (formerly Polygon.io) Stock Market API
results[].price · results[].size · results[].decimal_size …+17 more
Financial exchanges & data data provider More than 40 economies plus G20… · Quarterly observations 1940-Q2 through…
BIS Statistics Exchange and Derivatives Data
FREQ · BORROWERS_CTY · TC_BORROWERS …+5 more
Financial exchanges & data data provider Global equities across major exchanges… · Daily, weekly and monthly history 20+…
Alpha Vantage Stock and Financial Market Data API
01. symbol / 02. open / 03. high / 04. low / 05. price ... · 1. open / 2. high / 3. low / 4. close / 5. volume · interval …+4 more
Financial exchanges & data data provider United States - national totals, all… · Reference year 2023 first release…
Annual Integrated Economic Survey (AIES) - successor to AWTS
GEOTYPE · ST · GEO_ID …+19 more
Financial exchanges & data data provider United States - national totals only · Current model 2007-2024 (annual)
USDA ERS Food Dollar Series
Year · Type · Channel …+10 more
Financial exchanges & data data provider United States (NYSE · End-of-day prices from 1962 to present…
Tiingo Financial Markets API
date · open · high …+16 more
Financial exchanges & data data provider Global - US exchange data (Nasdaq · Varies by product: research staples…
Nasdaq Data Link (formerly Quandl)
dataset_data.column_names · dataset_data.data · dataset_data.start_date …+9 more
Financial exchanges & data data provider Global, including London Stock… · Tick history from 1996 onward in the…
LSEG Data & Analytics Market Data
Product name · Solution category · Coverage statistic …+1 more
Financial exchanges & data data provider
Euronext Market Data
Product name · Product type taxonomy · Venue coverage …+1 more
Financial exchanges & data data provider Worldwide - equities and indices from… · Quotes during trading hours in…
Investing.com Financial Markets Worldwide
Name · Last / High / Low · Chg. / Chg. % …+4 more
Who fishes here
- Data Scientists & ML Engineers Financial Exchanges & Data data for data scientists is a seven-record pool averaging 8.
- Developers & Data-Product Builders
- Investors & Quant Researchers
Frequently asked questions
What is the deepest tick-by-tick source for US stocks?
Massive leads on depth and delivery: tick-level trades and quotes from all US exchanges, dark pools and OTC with nanosecond timestamps, totalling 350 billion-plus stock data points, served as REST responses, WebSocket streams, daily flat files or SQL. Institutions often pair it with LSEG's 80-plus petabyte PCAP archive from 1996.
Where can macro analysts get OTC derivatives statistics?
BIS Statistics Exchange and Derivatives Data is the standard reference: OTC and exchange-traded derivatives flows from triennial surveys plus quarterly aggregates, sitting beside total credit - 1,133 series across 344 quarters - for more than 40 economies, distributed as CSV, SDMX-ML, JSON or zipped archives.
Can one pipeline cover both central-bank statistics and live tick feeds?
Yes - that is the point of the slice. BIS quarterly credit and Massive's nanosecond prints travel the same contract at Datadory, keeping identical columns and join keys whether the cadence is quarterly, daily or streaming. Changing frequency later means editing configuration, not rebuilding ingestion.
How do exchange calendars and session schedules reach my app?
Through Investing.com's seven calendar families - economic releases, earnings, dividends, splits, IPOs, futures expiries and holidays - maintained continuously at per-event grain alongside tens of thousands of instrument quote pages. They synchronize schedulers, UIs and backtest session boundaries against the same source the tape uses.
What wholesale-economy context stands behind exchange volumes?
Three Census and USDA records: the Economic Census NAICS 424 tables with 442,035 rows in the sector 42 basic file across nearly 21,000 geographic areas, the AIES 2023 release with 28 table packages, and the Food Dollar Series' 126,900 rows splitting every food dollar into supply-chain shares for 2007-2024.
See the rows before you commit
Any catch on this board, sampled against your own question. API, files, or your warehouse. Daily, weekly, or hourly..