Coinbase Pro
Coinbase Pro historical market data details - currency pairs, data coverage and data collection specifics
Coinbase Pro historical data for all it's currency pairs is available since 2019-03-30.
Downloadable CSV files
Historical CSV datasets for the first day of each month are available to download without API key. See downloadable CSV files documentation.
data type
symbol
date
API Access and data format
Historical data format is the same as provided by real-time Coinbase Pro WebSocket API with addition of local timestamps. If you'd like to work with normalized data format instead (same format for each exchange) see downloadable CSV files or official client libs that perform data normalization client-side.
# pip install tardis-client
import asyncio
from tardis_client import TardisClient, Channel
tardis_client = TardisClient(api_key="YOUR_API_KEY")
async def replay():
# replay method returns Async Generator
messages = tardis_client.replay(
exchange="coinbase",
from_date="2019-07-01",
to_date="2019-07-02",
filters=[Channel(name="l2update", symbols=["BTC-USD"])]
)
# messages as provided by Coinbase Pro real-time stream
async for local_timestamp, message in messages:
print(message)
asyncio.run(replay())
See Python client docs.
Captured real-time channels
change
last_match
full_snapshot - generated channel with full order book L3 snapshots Coinbase Pro (formerly GDAX) real-time WebSocket API provides initial full order book snapshots for level2, but not for full channel. To overcome this issue we fetch initial order book snapshots from REST API and store them together with rest of the WebSocket messages. Such snapshot messages are marked with
"type":"full_snapshot"
and"generated":true
fields. This effectively allows reconstructing historical full order book forfull
(L3) channel. Validation based on sequence numbers iffull_snapshot
overlap with WS L3 updates has been added 2020-06-11.
Market data collection details
Market data collection infrastructure for Coinbase is located in GCP europe-west2 region (London, UK). Real-time market data is captured via multiple WebSocket connections.
Last updated