BitMEX

BitMEX historical market data details - available data, coverage and data collection specifics

BitMEX historical data for all it's instruments 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

trades

XBTUSD

2019-07-01

Download sample

incremental_book_L2

XBTUSD

2019-07-01

Download sample

book_snapshot_25

XBTUSD

2019-07-01

Download sample

quotes

XBTUSD

2019-07-01

Download sample

derivative_ticker

XBTUSD

2019-07-01

Download sample

trades

FUTURES

2020-03-01

Download sample

incremental_book_L2

FUTURES

2020-03-01

Download sample

liquidations

PERPETUALS

2021-09-01

Download sample

book_ticker

XBTUSD

2022-01-01

Download sample

How to download all Bitmex datasets for all instruments

See full downloadable CSV files documentation with datasets format spec, data samples and more.

# requires Python >=3.6
# pip install tardis-dev

from tardis_dev import datasets, get_exchange_details
import logging

# optionally enable debug logs
# logging.basicConfig(level=logging.DEBUG)

exchange = 'bitmex'
exchange_details = get_exchange_details(exchange)   

# iterate over and download all data for every symbol
for symbol in exchange_details["datasets"]["symbols"]:
    # alternatively specify datatypes explicitly ['trades', 'incremental_book_L2', 'quotes'] etc
    # see available options https://docs.tardis.dev/downloadable-csv-files#data-types
    data_types = symbol["dataTypes"]  
    symbol_id = symbol["id"]
    from_date =  symbol["availableSince"]
    to_date = symbol["availableTo"]

    # skip groupped symbols
    if symbol_id in ['PERPETUALS', 'SPOT', 'FUTURES']:
        continue

    print(f"Downloading {exchange} {data_types} for {symbol_id} from {from_date} to {to_date}")

    # each CSV dataset format is documented at https://docs.tardis.dev/downloadable-csv-files#data-types
    # see https://docs.tardis.dev/downloadable-csv-files#download-via-client-libraries for full options docs
    datasets.download(
        exchange = exchange,
        data_types = data_types,
        from_date =  from_date,
        to_date = to_date,
        symbols = [symbol_id],
        # TODO set your API key here
        api_key = "YOUR_API_KEY",
        # path where CSV data will be downloaded into
        download_dir = "./datasets",
    )

See docs that shows all available download options (download path customization, filenames conventions and more).

// npm install tardis-dev
// requires node version >=12
const { downloadDatasets, getExchangeDetails } = require('tardis-dev')

;(async () => {
  const exchange = 'bitmex'
  const exchangeDetails = await getExchangeDetails(exchange)

  // iterate over and download all data for every symbol
  for (const symbol of exchangeDetails.datasets.symbols) {
    // alternatively specify dataTypes explicitly ['trades', 'incremental_book_L2', 'quotes'] etc
    // see available options https://docs.tardis.dev/downloadable-csv-files#data-types
    const dataTypes = symbol.dataTypes
    const symbolId = symbol.id

    const from = symbol.availableSince
    const to = symbol.availableTo

    // skip groupped symbols
    if (['PERPETUALS', 'SPOT', 'FUTURES'].includes(symbolId)) {
      continue
    }

    console.log(`Downloading ${exchange} ${dataTypes} for ${symbolId} from ${from} to ${to}`)

    // each CSV dataset format is documented at https://docs.tardis.dev/downloadable-csv-files#data-types
    // see https://docs.tardis.dev/downloadable-csv-files#download-via-client-libraries for full options docs
    await downloadDatasets({
      exchange,
      dataTypes,
      from,
      to,
      symbols: [symbolId],
      // TODO: set your API key here
      apiKey: 'YOUR_API_KEY',
      //  path where CSV data will be downloaded into
      downloadDir: './datasets'
    })
  }
})()

See docs that shows all available download options (download path customization, filenames conventions and more).

API Access and data format

Historical data format is the same as provided by real-time BitMEX 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="bitmex",
    from_date="2019-07-01",
    to_date="2019-07-02",
    filters=[Channel(name="orderBookL2", symbols=["XBTUSD"])]
  )

  # messages as provided by BitMEX real-time stream
  async for local_timestamp, message in messages:
    print(message)


asyncio.run(replay())

See Python client docs.

// npm install tardis-dev
const { replay } = require('tardis-dev');

async function run() {
  try {
    const messages = replay({
      exchange: 'bitmex',
      from: '2019-07-01',
      to: '2019-07-02',
      filters: [{ channel: 'orderBookL2', symbols: ['XBTUSD'] }],
      apiKey: 'YOUR_API_KEY'
    });

    // messages as provided by BitMEX real-time stream
    for await (const { localTimestamp, message } of messages) {
      console.log(localTimestamp, message);
    }
  } catch (e) {
    console.error(e);
  }
}

run();

See Node.js client docs.

curl -g 'https://api.tardis.dev/v1/data-feeds/bitmex?from=2019-07-01&filters=[{"channel":"orderBookL2","symbols":["ETHUSD"]}]&offset=2'

See HTTP API docs.

curl -g 'localhost:8000/replay?options={"exchange":"bitmex","filters":[{"channel":"orderBookL2","symbols":["XBTUSD"]}],"from":"2019-07-01","to":"2019-07-02"}'

Tardis-machine is a locally runnable server that exposes API allowing efficiently requesting historical market data for whole time periods in contrast to HTTP API that provides data only in minute by minute slices.

See tardis-machine docs.

Captured real-time channels

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

trade
orderBookL2
liquidation
connected
announcement
chat
publicNotifications
instrument partial messages returned via HTTP API may contain data for all BitMEX instruments and require filtering client-side if only selected symbols were requested
settlement
funding
insurance
orderBookL2_25
quote
quoteBin1m
quoteBin5m
quoteBin1h
quoteBin1d
tradeBin1m
tradeBin5m
tradeBin1h
tradeBin1d
orderBook10 - available since 2021-02-21

Market data collection details

Market data collection infrastructure for BitMEX is located in GCP europe-west2 region (London, UK). Real-time market data is captured via single WebSocket connection.

BitMEX servers are located in AWS eu-west-1 region (Dublin, Ireland).

PreviousHistorical Data Details NextDeribit

Last updated 3 years ago