Product roadmap

Submit dataset requests and feature ideas here. For bug reports, use our chat support or issues tracker instead.

Trending
  1. Trading calendar information

    This feature would allow the user to request trading calendar information (such as trading session start/end times) via our API. This is especially useful when considering trading sessions that can span multiple UTC dates (and hence the possibility of having multiple trading sessions within a single day). Keywords: Market calendar, trading holidays.

    Renan Gemignani

    6

  2. B3 UMDF Dataset

    B3: Brazil Equities and Futures MBO data. Keywords for search purposes: Brasil Bolsa BalcΓ£o S.A., Brazilian Mercantile and Futures Exchange (BM&F), BMF, Bovespa (SΓ£o Paulo Stock Exchange), Cetip (Central of Custody and Financial Settlement of Securities for the organized OTC market).

    Renan Gemignani

    4

  3. Real-time and historical index data

    Currently, indices are indirectly supported through tradable index instruments on CME futures, ETFs, etc. and we don't provide the index values (non-tradable) themselves. This may be sourced from a feed like the Cboe Global Indices Feed or NYSE Global Index Feed.

    Tessa Hollinger

    30

  4. CFE Book Depth

    Full depth of book feed for Cboe Futures Exchange (CFE). CFE contains volatility futures and corporate bond index futures, such as VIX futures (VX, VXM).

    Zach Banks

    12

  5. Consolidated US equities data

    Currently, equities is supported via individual prop feeds of each venue. While NASDAQ is sufficient for getting NBBO for most of the time, some users prefer something that will be more in line with actual NBBO from SIPs. This feature request tracks 3 possible modes of consolidation for both historical and live data: Databento server-side consolidation of multiple proprietary feeds Consolidated data from proprietary feed like Nasdaq Basic in lieu of SIP Consolidated data from CTA/UTP SIPs We plan on implementing 1-2 of these three options.

    Tessa Hollinger

    14

  6. Expose metadata of every underlying leg in multi-leg futures and options

    Currently, multi-leg products (spreads, strategies, combos) on CME/ICE are hard to use because our instrument definitions do not provide metadata about each underlying leg. The user has to infer the legs from the symbol. This is a form of lossy normalization, since CME/ICE does provide this in their security definitions in a repeating group, but our fixed instrument definition schemas are forced to discard thisβ€”they only provide the the instrument_id of the first underlying instrument through underlying_id. In the meantime, our recommendation to users is to either infer this from the symbol OR download the raw security/instrument definitions from the exchange (e.g. CME's is free on their FTP) OR get a pcap subscription from us. If you need historical secdefs copied from CME (since their FTP site only gives 1 day history), we can provide a courtesy backfill of these for a fixed cost.

    Tessa Hollinger

    13

  7. FINRA TRACE data

    Real-time and historical FINRA TRACE data. Keywords: Real-time bond market transaction data, fixed income, asset-backed (ABS) and mortgage-backed securities (MBS), U.S. Treasury securities, U.S. Treasury notes, corporate bonds.

    Tessa Hollinger

    2

  8. Add B3 (Brazil) equities & futures β€” historical and live

    Please consider adding B3 (Brazil) equities and futures market data, both historical and real-time. TooQ Technology (https://tooqtechnology.com/) could be a strong upstream provider. Having B3 fully consolidated within the Databento API (same schema, symbology, and delivery model as other venues) would be extremely valuable for cross-market research, backtesting, and live trading, avoiding the need to stitch multiple vendors.

    Alex C

    0

  9. Euronext Paris Equities data

    Renan Gemignani

    0

  10. WebSocket API for live data

    To extend support to browser-based applications.

    Tessa Hollinger

    6

  11. Cboe FX ITCH (forex, foreign exchange)

    All orders plus last look quotes from 35 major banks and non-bank LPs, on one of the largest FX venues.

    Tessa Hollinger

    15

  12. Parquet encoding

    Support Parquet as a form of encoding, aside from dbn, CSV and JSON.

    Tessa Hollinger

    12

  13. Calculated options greeks schema

    Add a schema for calculated metrics like options greeks, e.g. implied volatility, delta, etc.

    Carter Green

    12

  14. Provide snapshots for historical and live data

    This serves as a master list of all other snapshot-like features on our roadmap. The scope of this ticket is potentially very large and ambiguous so we've broken this down into smaller tickets that you can follow separately. (Historical only) https://roadmap.databento.com/b/n0o5prm6/feature-ideas/add-historical-endpoint-for-latest-snapshot-of-any-schema. This would allow a user to get the latest published value of any given schema, within the boundaries allowed by licensing/entitlements/historical embargo window. The main benefit of this is for creating ticker tape or latest quote features, e.g. on a web app, after we start exposing intraday data over the historical/HTTP API (https://roadmap.databento.com/roadmap/expose-intraday-and-current-trading-session-historical-data-over-historical-http-api-and-clients). Likely endpoint names for this would be either timeseries.get_last or timeseries.get_snapshot. (Historical only) https://roadmap.databento.com/b/n0o5prm6/feature-ideas/provide-snapshots-as-of-specified-time-in-historical-api. Likely endpoint names for this would be either timeseries.get_last or timeseries.get_snapshot.(Live only) https://roadmap.databento.com/roadmap/add-periodic-mbo-book-snapshots-to-live-api. This allows a user to get the last published value of any given schema at a specified time. The main benefit of this would be to allow customers to subsample the data on server side and reduce cost, though the benefit is diminished with feature 5 on this list. Note that this would allow a user to emulate (1) relatively well since a user could potentially just pass in their current clock time or some time slightly ahead of the clock time. However, their underlying implementations would be different and (1) and (2) would likely be released separately. Likely endpoint names for this would be either timeseries.get_last_asof or `timeseries. (Live only) https://roadmap.databento.com/b/n0o5prm6/feature-ideas/allow-live-api-clients-to-request-for-mbo-snapshot-recovery. This provides resilience to gaps or data errors originating from Databento side. It could also be used for recovery of book state caused by client-side issues or disconnection, but would be less quick than feature (4) on this list.(Both historical and live) https://roadmap.databento.com/roadmap/fixed-interval-mbp-1-summaries-eg-1-minute-bbo-or-subsampled-bbo. The purpose of this is more to provide customers a convenience over fetching or subscribing MBP-1 and subsampling and forward filling the MBP-1 data themselves, which could be very expensive given the size of MBP-1 data and how the customer has no idea how far to look back for the "last" MBP-1 update prior to the 1 second or 1 minute refresh interval. Some of these are in development, hence the status of this entire ticket, however you should check on each individual one in case the specific feature you're looking for is still in Considering state.

    Tessa Hollinger

    7

  15. Binance data (cryptocurrency spot, futures, options)

    We've received some requests recently for Binance data. Please upvote if this is of interest. We're still determining whether this is worth the risk.

    Christina Qi

    5