Equities data

Get real-time and historical stock and ETF data.
It only takes 3 minutes. See API docs ->

equities illustration
Used by 3,000+ leading firms and high-growth startups

50+ trading venues

Easy access through a single API and official client libraries (Python, C++, Rust).

Over 2 million instruments

US equities coverage includes 20,000+ stocks and ETFs since their initial listings.

Over 12 PB coverage

Tick data, full order book, OHLCV, imbalance, reference data, and more.

Flexible pricing

Only pay for what you use, or get unlimited access with a subscription plan.

Direct from source

Raw and normalized market data sourced from direct feeds at our Equinix NY4 colo.

Self-service onboarding

Skip the sales call. Access your first dataset in as little as 3 minutes.

Coverage Illustration

Comprehensive market coverage

Databento is a licensed distributor and direct provider of market data for 50+ trading venues. See full venue list ->

Exchanges and datasets
Exchange Dataset Definitions L1 L2 L3
Nasdaq Nasdaq TotalView-ITCH
Nasdaq BX Nasdaq BX TotalView-ITCH
Nasdaq PSX Nasdaq PSX TotalView-ITCH
NYSE NYSE Integrated
NYSE American NYSE American Integrated
NYSE Arca NYSE Arca Integrated
NYSE National NYSE National Trades and BBO
NYSE Chicago NYSE Chicago Integrated
Cboe BZX

Coming soon

Cboe BZX Depth
Cboe BYX

Coming soon

Cboe BYX Depth
Cboe EDGA

Coming soon

Cboe EDGA Depth
Cboe EDGX

Coming soon

Cboe EDGX Depth
MEMX MEMX Memoir Depth
MIAX MIAX Pearl DoM
IEX IEX TOPS
FINRA/Nasdaq TRF Carteret Nasdaq Basic with NLS Plus
FINRA/Nasdaq TRF Chicago Nasdaq Basic with NLS Plus
FINRA/NYSE TRF

Coming soon

NYSE Trades
Proprietary datasets
No exchange license fees
Databento US Equities Mini
Accurate real-time trades, quotes, and BBO depth. Derived from our proprietary blend of top-of-book direct feeds.
Learn more ->
Full market coverage
Databento US Equities Summary
100% daily volume on a delayed basis and consolidated end-of-day prices (OHLCV) across all exchanges and ATSs.
Learn more ->

Modern stock data APIs built for top financial institutions

Databento works with any language through our APIs. We also provide client libraries for Python, Rust, and C++.

API

Build your first application in 4 lines of code

Get started
API illustration

Examples

Simple workflows for equities trading

Nanosecond timestamps

The only normalized market data solution to provide up to four timestamps for every event, with sub-microsecond accuracy across venues.

Colocated

Full order book

All buy and sell orders at every price level. Get each trade tick-by-tick and order queue composition at all prices.

Colocated

Entire venue in one API call

Subscribe to every update of every symbol on the venue, in a single API call—like a direct feed—be it over internet or cross-connect.

Entire venue in one API call

Direct prop feeds only

Databento’s equities data is sourced directly from each exchange.

Direct feeds

Databento

SIPs

Most data providers

Feeds included

18 proprietary feeds

CTS, CQS, UTDF, UQDF only

Price levels

All levels

Top of book only

Trade aggressor side

The SIPs don’t tell you whether a trade is buyer or seller-initiated, so you have to infer from the quote prices and participant timestamps. This can be as inaccurate on as much as 45% of trades. Using direct prop feeds gives you 100% accuracy.

Full order book

The SIPs only consolidate top-of-book quotes from each market center, leaving out valuable information that happens in subsequent levels. Moreover, the SIPs are depth feeds, and do not provide order IDs which let you determine queue composition of each price level.

Odd lots

Odd lots are not reported to the SIPs. However, odd lots make up nearly 50% of US equities trading activity and this trend continues to increase. Databento’s equity bundles report all trades regardless of size.

Auction imbalance

Significant price discovery takes place during the opening and closing auctions, with closing auction volume now over 12% of US daily volume. Institutional traders use auction imbalance data, only available on the prop feeds and not the SIPs, to identify actionable opportunities and participate in the opening and closing auctions.

Low latency

The CTA and UTP SIPs are based in Mahwah and Carteret respectively. For example, this means that trades in NYSE-listed stocks that occur on Nasdaq in Carteret have to be reported to CTA in Mahwah, incurring unnecessary latency. We consolidate the prop feeds in Secaucus NY4, which gives us the least average distance to all of the equities matching engines.

Customize your data

Select symbols, format, encoding, and delivery. Get any range by the nanosecond.

Read our API reference and user guides

Documentation
Data illustration

Schemas

Our datasets support multiple formats, including order book, tick data, bar aggregates, and more. View all supported schemas ->

  • mbo

    Market by order, full order book, L3.

  • mbp-10

    Market by price, market depth, L2.

  • mbp-1

    Top of book, trades and quotes, L1.

  • tbbo

    Top of book, sampled in trade space.

  • trades

    Tick-by-tick trades, last sale.

  • ohlcv-t

    Aggregates per second, minute, hour, or day.

  • definition

    Point-in-time instrument definitions.

  • imbalance

    Auction imbalance, order imbalance.

  • statistics

    Intraday and end-of-day trading statistics.

Fields

Examples of frequently used data fields. Each schema is represented as a collection of fields. View all supported fields by schema ->

  • publisher_id

    The publisher ID assigned by Databento, which denotes the dataset and venue.

  • instrument_id

    The numeric instrument ID.

  • order_id

    The order ID assigned at the venue.

  • ts_event

    The matching-engine-received timestamp expressed as the number of nanoseconds since the UNIX epoch.

  • ts_recv

    The capture-server-received timestamp expressed as the number of nanoseconds since the UNIX epoch.

  • ts_in_delta

    The matching-engine-sending timestamp expressed as the number of nanoseconds before ts_recv

  • price

    The order price where every 1 unit corresponds to 1e-9, i.e. 1/1,000,000,000 or 0.000000001.

  • action

    The event action. Can be Add, Cancel, Modify, cleaR book, Trade, or Fill.

  • size

    The order quantity.

  • flags

    A bit field indicating event end, message characteristics, and data quality.

  • expiration

    The last eligible trade time expressed as a number of nanoseconds since the UNIX epoch.

  • strike_price

    The exercise price if the instrument is an option. Converted to units of 1e-9, i.e. 1/1,000,000,000 or 0.000000001.

API methods

Examples of popular API methods. Our APIs are organized into four categories: metadata, timeseries, symbology, and batch download. View all supported API methods ->

  • metadata

    Get dataset range

    Get the available date range for a dataset.

  • metadata

    List publishers

    List all our dataset publishers.

  • metadata

    List datasets

    List all our available dataset names.

  • metadata

    List schemas

    List all available market data schemas for a dataset.

  • metadata

    Get cost

    Get the dollars for a historical streaming or batch download request.

  • timeseries

    Get range

    Stream time series data using our Historical API.

  • symbology

    Resolve

    Resolve a list of symbols into their exchange specific identifier.

  • batch

    Download

    Download a completed batch job.

  • batch

    Submit job

    Submit a large data request to our batch system for download.

Sampling frequencies

All datasets provide full flexibility and the ability to customize sampling resolution.

  • Every book update

    Every order execution, add, cancel, replace, book snapshot, and more. By the nanosecond.

  • Tick-by-tick

    Every trade and quote. By the nanosecond.

  • 1 second

    Subsampled BBO, last sale, and OHLCV aggregates by the second.

  • 1 minute

    Subsampled BBO, last sale, and OHLCV aggregates by the minute.

  • Hourly

    OHLCV aggregates by the hour.

  • Daily

    Daily market statistics, indicative opening and closing prices, OHLCV aggregates, and more.

What our users are saying

"Databento’s advanced technology and highly customizable market data offerings are going to be a game changer for a wide variety of market data users across the ever-evolving financial industry."

Michael Tung, Investments Lead

Belvedere Trading
"The documentation is awesome. It's easy to read, clean, and modern."
RZ

Rick Zhan, VP Quant Research

Quant hedge fund ($50B+ AUM)
"Finally a vendor that knows what they are doing because [...] they occupied the same seat as their target customers."
PA

Paul Aston, Founder

Tixall Global Advisors, LLC
"I've worked with many third-party financial data providers over the years—Reuters, Activ, Bloomberg, Exegy, Redline, Quanthouse, Quincy—but Databento is the first market data provider I have ever seen that is truly an "as-a-service" solution for professional-grade market data."

Brett Harrison, Founder

Architect
"With Databento, I can get anything I want in 5 minutes. The data quality, flexible formats, and competitive pricing policy have set Databento apart."

Nikita Ostroverkhov, Algo Trading

MA Investments
"It's so much easier to get data into my spreadsheets now."
VC

V. Chen, Equity Research Associate

Top 4 investment bank (by assets)
"Productizing high-fidelity market data is hard—your data models, delivery options, and documentation consistency all matter for creating amazing developer ergonomics. Databento is excelling on all these fronts."

Chris Pento, Co-founder and CEO

Clear Street
"I was super impressed by what I saw [...] Great design choices! And great documentation. Wow."
MP

Matt Papakipos

Creator of Chrome OS, Google
"Databento makes it really easy to get data in my data exploration workflows and Jupyter notebooks."
CG

C. Garcia, Senior Quant Researcher

Top 3 options market maker (by volume)

Pricing

New users get $125 in free credits

Free credit applies to any of our subscription plans or historical data.

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