Cboe BYX Depth

Dataset ID: BATY.PITCH

Cboe BYX disseminates full depth-of-book data for their exchange through their Pitch Feed, which Databento receives over UDP multicast in our NY4 data center.

The Multicast Depth of Book (Pitch) Specification is available as a PDF from Cboe's website.

Info

The Databento team is currently working on this article.

Symbol convention

Raw symbols in this dataset use the Nasdaq convention (e.g. BRK.B, AAC+), even though the source venue is Cboe rather than Nasdaq. See CMS vs. Nasdaq symbology for the per-dataset convention map.

Timestamps

Cboe messages received by Databento will generally include one timestamp with nanosecond precision. As with all of our datasets, we also collect a ts_recv timestamp when the packet was received by our capture server.

Databento Field
Pitch Field
Description
ts_recv
N/A
The capture-server-received timestamp.
ts_event
Time + TimeOffset
The matching-engine-received timestamp.
ts_in_delta
None
The difference between ts_recv and ts_event. Redundant and can be safely ignored.

More details about our timestamps are available in our timestamping guide.

Statistics

Databento provides Opening Price and Closing Price statistics, normalized from the Auction Summary message. These statistics have the auction uncrossing price and quantity for the respective event.

Imbalance normalization

Cboe BYX provides information about opening and closing cross imbalances in their Imbalance message. Databento normalizes each message into a record in the imbalance schema.

Databento Field
Pitch Field
Description
ref_price
ReferencePrice
Collared price at which the periodic auction would trade.
paired_qty
min(BuyShares, SellShares)
The number of shares that are eligible to match at the ref_price.
total_imbalance_qty
abs(SellShares - BuyShares)
The number of shares not paired at the ref_price.
auction_type
AuctionType
P: Periodic auction.
side
BuyShares, SellShares
The market side of the order imbalance: Bid (buy) imbalance, Ask (sell) imbalance, No imbalance.

Flags normalization

The F_PUBLISHER_SPECIFIC flag provides no additional meaning in this dataset and can be safely ignored.