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    Data

    Coverage & Freshness

    What scanr.ai covers, where the data comes from, and when each dataset changes. Read this before you schedule a scan or compare two results: the same payload can legitimately return different stocks at 10:00 and at 16:30.

    Markets

    scanr.ai covers U.S.-listed securities across every major venue and OTC:

    Universe.ExchangeVenue
    nyseNew York Stock Exchange
    nasdaqNasdaq
    amexNYSE American
    arcaNYSE Arca
    batsCboe BZX
    bxNasdaq BX
    otcOTC markets

    Security types include common stock (cs), ordinary shares (os), ADRs (adrc, adrp, adrr), ETFs (etf), ETNs (etn), exchange-traded vehicles (etv), funds (fund), preferred stock (pfd), warrants, rights and units. GET /api/v2/stocks/ticker-types lists every code.

    Every API plan can scan all of them, including OTC and ETFs. The defaults are not "everything", though: see Always set Exchange and Type.

    Country of domicile (Universe.Country) is recorded for operating companies. Many securities, including every ETF, have none and appear as unknown, so a country filter also removes all funds.

    Not covered: non-U.S. listings, options, futures, forex and crypto.

    Where the data comes from

    DataSource
    Prices, volume and quotesMarket data from every U.S. exchange and OTC.
    FundamentalsCompany filings with the SEC: quarterly (10-Q) and annual (10-K) reports.
    Insider transactionsSEC Form 4 filings.
    Short dataFINRA daily short volume and bi-monthly short interest.
    Relative strength, regime indicators, chart patterns, supply/demand zones, themes, peersComputed by scanr.ai from the price and volume data above.
    Concept researchA scanr.ai classifier's reading of each company's SEC filings, recent news and company profile. Every positive answer cites the passage it read.
    ETF holdingsPeriodic snapshots of fund holdings for sector and thematic ETFs.

    Everything in the second half of that table is scanr.ai's own analysis. The methods are described in the scanr.ai knowledge base.

    Freshness

    DatasetUpdatesDuring market hours
    ScansOn every requestPrice and volume studies include the current session's in-progress bar.
    Technical indicatorsOn every requestSame as scans: the latest bar may be in progress.
    Relative strengthAbout once a minute during the sessionRows carry realtime: true until the session settles after the close.
    Regime indicatorsAbout once a minute; group_strength once a daygroup_strength reflects the previous close during the day.
    Theme performanceLive during the sessionToday's entry carries is_realtime: true.
    Theme membershipWeekly
    Chart patterns, zonesAs they are detectedEach row carries detected_at / computed_at.
    FundamentalsWhen companies fileA scan uses the latest filing unless you set Lag.
    ETF holdingsPeriodic snapshotsas_of and as_of_age_days say how old the snapshot is.
    Concept researchIndexed concepts are swept across the market; a pair nobody has asked is classified live on first ask, then storedAn answer for a past as_of comes from the index only, never live, so it can be unknown. coverage says which.
    Market statusOn every request

    API tokens get this data without delay on every plan.

    Timing a scan

    Because scans read the in-progress bar, when you run one is part of its definition:

    • After the close, daily studies read the settled session. This is the right time for an end-of-day list you'll act on tomorrow; leave a margin after 16:00 ET, for example by running at 16:30. See Run an End-of-Day Screen.
    • During the session, a daily RSI or moving-average cross is provisional: it can appear at 11:00 and be gone by the close.

    Use GET /api/v2/misc/market-status to decide in code whether the market is open, closed or in extended-hours.

    A scan answers for the moment it runs; it is not a backtest. To see how a screen would have done over time, save it and read its performance.

    Accuracy

    Market data may be delayed and is not guaranteed to be accurate, complete or timely. scanr.ai provides data and tools, not investment advice. Report a data problem to [email protected] with the ticker, endpoint and time.

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