Product roadmap

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

To extend support to browser-based applications.

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

futures and futures options OHLC, OI and volume from the LME

e.g. Shares outstanding, short interest, market capitalization, P/E ratio etc.

Could we add support to make the result of DBNStore.to_df a Polars dataframe as well? Perhaps the function signature could just be overloaded with a to_polars: bool argument. Something like: In Python @overload def to_df(self, to_polars: Literal[False]) -> pd.DataFrame: ... @overload def to_df(self, to_polars: Literal[True]) -> pl.DataFrame: ... Or, maybe to_df is split into two different functions to_pandas and to_polars. Either way, it would be helpful to avoid having to do pl.from_pandas(store.to_df().reset_index(drop=False)). Plus, Polars can convert to pyarrow-Pandas zero-copy, but not the other way around.

Add trade reporting modifier flags, e.g. those found in CTS sale conditions here: https://www.nyse.com/publicdocs/ctaplan/notifications/trader-update/cts_output_spec.pdf Similar to: https://roadmap.databento.com/b/n0o5prm6/feature-ideas/include-opra-trade-conditions

Equity data from TSX with broker IDs (TSX is one of the few markets out there with post-trade transparency)

The Eurex dataset (XEUR.EOBI) has availability from 2025-03-10. This request is to backfill this dataset with more history. A source of this history has not been identified, we will update this ticket when/if it is accepted with details.

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.

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.

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).

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.

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

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