Product roadmap
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Eurex EOBI dataset
Data for Eurex, including all schemas (MBO, MBP, ohlcv, etc.).
Renan Gemignani11
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 Hollinger12
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 Hollinger20
European Energy Exchange (EEX) data
From EEX CEF Core feed EEX EOBI feed. This will include order-by-order data as well as less granular formats, such daily settlements, definitions, etc.
Carter Green8
Official Java client library
Make our historical and live APIs easier to integrate from Java.
Carter Green5
Provide implied book on CME Globex MDP 3.0
Databento's feed is based on CME's MBO feed and we do not overlay implied depth from the MBP feed. This creates the appearance of less liquidity and wider spreads compared to many vendors that are only using the MBP feed. Overlaying MBO and MBP creates several complications; we think using the direct book is better for signal generation and execution, and prefer not overlay implied MBP over MBO to form a composite book. At this time, users who are sensitive to implied orders can impute the implied book themselves. That said, we may expose the implied book for users who find this useful and prefer to compare our data to another reference.
Tessa Hollinger2
Add databento-python to conda-forge
https://conda-forge.org/ https://anaconda.org/
Tessa Hollinger0
Add Polars support to `to_df` method
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.
Aidan L1
Batch download option
Hi Databento team, I am a regular user of databento and the batch download feature. Could you consider adding the below features? 1# Currently there are options available to pick from - Last month, last 3 months, Last 6 months, Entire history. Could you add "Most recent day"? This should ideally help me get most recent (1) day worth of data for the data set being downloaded. 2# Recurring batch download - Once I do a batch download for a dataset, I hope to have a recurring option which makes available a file to download everyday (either via UI or API) Thanks in advance Madhavan
Madhavan G0
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)
Renan Gemignani4
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 Banks5
WebSocket API for live data
To extend support to browser-based applications.
Tessa Hollinger3
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 Hollinger11
Official C# client library
This client library makes all our historical and live features easier to integrate in C# on Windows, Linux, and Mac OS. C# is currently already supported through our HTTP API and Raw TCP protocol, which are both language-agnostic.
Tessa Hollinger9
ICE iMpact: ICE US Futures
For ICE US futures including US softs and financials, such as cocoa, cotton, sugar, frozen orange juice, canola, world cotton, US grains, precious metals, MSCI indices, all currency pairs, and US Dollar Index. This was previously tied to this ticket for ICE Futures Europe and ICE Endex. However, we've decided to release ICE Futures Europe and Endex first separately from ICE US.
Tessa Hollinger10