Blockchain.com

Blockchain.com Exchange historical market data details - instruments, data coverage and data collection specifics

Blockchain.com exchange historical data for all it's currency pairs is available since 2023-02-23.

See Blockchain.com exchange historical data coverage: available symbols, channels, date ranges and incidents

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

trades

BTC-USD

2023-03-01

incremental_book_L2

BTC-USD

2023-03-01

quotes

BTC-USD

2023-03-01

book_snapshot_25

BTC-USD

2023-03-01

trades

SPOT

2023-03-01

API Access and data format

Historical data format is the same as provided by real-time Blockchain.com Exchange WebSocket Market Data API v1 (https://exchange.blockchain.com/api/#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 can 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="blockchain-com",
    from_date="2023-03-01",
    to_date="2023-03-02",
    filters=[Channel(name="l2", symbols=[])]
  )

  # messages as provided by Blockchain.com exchange real-time stream
  async for local_timestamp, message in messages:
    print(message)


asyncio.run(replay())

See Python client docs.

Captured real-time channels

See Blockchain.com exchange docs providing documentation for each captured channel's format

Click any channel below to see HTTP API response with historical data recorded for it.

Market data collection details

Market data collection infrastructure for Blockchain.com exchange is located in GCP europe-west2 region (London, UK). Real-time market data is captured via multiple WebSocket connections.

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