An illustrative view of how instrument, market observatio…
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Data Marketplace · Markets & technology
Organize public Yahoo Finance instruments, prices, companies, events, and time-series observations with market context attached.
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{
"symbol": "EXMPL",
"instrument_name": "Example Holdings",
"market": "Illustrative exchange",
"price": 42.18,
"currency": "USD",
"market_state": "closed",
"observed_at": "2026-08-06T20:00:00Z",
"captured_at": "2026-08-07T05:00:00Z"
}Schema and fields
Start with instrument, market observation, company. Source identity, collection time, and field meaning stay connected so records can move into analysis without losing their context.
symbol stringDisplayed instrument symbol
instrument_name stringDisplayed instrument name
market stringExchange or market context
price decimalObserved public value
currency stringDisplayed currency
market_state stringObserved market context
observed_at timestampValue timestamp where available
captured_at timestampCollection time
Records in this collection
Explore the Yahoo Finance on-demand API
Instrument
Market observation
Company
Event
Time-series point
Freshness and delivery
Select observation intervals and historical windows based on the research question; retain both source timing and collection timing.
Snapshot Start from a dated baseline Selected scope and collection window
Refresh Receive recurring updates Cadence and change behavior
Format Use JSON, CSV, or Parquet Schema, partitioning, and manifest
Validation Run repeatable checks Counts, fields, missing states, and version
Yahoo Finance applications
Use source-linked, time-stamped records for public market monitoring, plus company and event research. Each application starts from the same documented fields and collection context.
01
Track selected instruments and observed values with currency, market state, and timestamp context.
02
Connect public company context, events, and observed market data for analysis.
03
Build a defined time window for research, modeling, backtesting, and market-signal analysis.
From sample to production
Start with representative rows, run the joins and calculations that matter, and shape delivery around the system that will consume the data.
01
Select the entities, markets, fields, dates, and business output the collection should support.
02
Check identifiers, fields, joins, missing states, and source context with your own queries or models.
03
Choose the snapshot or recurring schedule, file format, partitions, manifest, and destination.
Yahoo Finance dataset FAQ
Organize public Yahoo Finance instruments, prices, companies, events, and time-series observations with market context attached. Core records include instrument, market observation, company, event, time-series point.
Common applications include public market monitoring, company and event research, historical dataset preparation. Start with the fields and time window required by the business output.
Select observation intervals and historical windows based on the research question; retain both source timing and collection timing.
Use the on-demand API when your application chooses individual requests and timing. Choose this dataset for a prepared bulk snapshot or recurring file delivery.
Continue the data journey
Compare the adjacent dataset, open the source API, or continue into the relevant data, industry, and solution pages.
Start with real records
Tell us which instrument and market observation data you need, plus the markets, fields, dates, and destination. We will map the collection to that requirement.