Huobi DM

Huobi DM historical market data details - instruments, data coverage and data collection specifics

Huobi DM historical data for all it's instruments is available since 2019-11-19.

Click link below to see all available instruments list.

See Huobi DM historical data coverage: available symbols, channels, date ranges and incidents

Captured real-time channels

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

Up until 2020-01-31 depth channel was collected with step0 aggregation level (no aggregation) which produces full order book snapshots for each book change which is very inefficient to store. To circumvent this issue we stored only initial book snapshots and then incremental updates instead - incremental updates were calculated by diffing two subsequent book snapshots and provided in the same format as other depth messages, except having additional update: true flag set as in snippet below. Update with amount (second value in array) set to 0 means such level should be deleted, otherwise price level should be updated with new amount value.

"ch": "market.ETC_CW.depth.step0",
"ts": 1572652860024,
"update": true,
"tick": {
"mrid": 24660973159,
"id": 1572652860,
"bids": [
"asks": [],
"ts": 1572652860013,
"version": 1572652860,
"ch": "market.ETC_CW.depth.step0"

On 2020-01-31 we've switched to depth.size_150.high_freq channel instead when collecting data and which natively provides incremental order book updates without workarounds described above.

Unfortunately it means that when requesting data for depth channel it may return slightly different format depending for which time period request was made. It's only slightly different and boils down to the way order book update messages are marked vs order book snapshots. In depth.size_150.high_freq order book message has event field always present with value update or snapshot, for example:

"ch": "market.LTC_CW.depth.size_150.high_freq",
"tick": {
"event": "update",

For messages before 2020-01-31 we've used depth.step0 channel for collecting order book data which means order book update message has flag update set to true, if it's a snapshot it doesn't have that flag at all, for example:

"ch": "market.ETC_CW.depth.step0",
"update": true,
"tick": {

All other fields are are the same (tick.bids and tick.asks etc).

Please feel free to contact us if it's confusing in any way.

We also provide normalization layer that handles those differences transparently via our client libs.

API Access and data format

Historical data format is the same as provided by real-time Huobi DM 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.

cURL & tardis-machine
# 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(
filters=[Channel(name="depth", symbols=["BTC_CW"])]
# messages as provided by Huobi DM real-time stream
async for local_timestamp, message in messages:

See Python client docs.

// npm install tardis-dev
const { replay } = require('tardis-dev');
async function run() {
try {
const messages = replay({
exchange: 'huobi-dm',
from: '2020-02-01',
to: '2020-02-02',
filters: [{ channel: 'depth', symbols: ['BTC_CW'] }],
apiKey: '<YOUR_API_KEY>'
// messages as provided by Huobi DM real-time stream
for await (const { localTimestamp, message } of messages) {
console.log(localTimestamp, message);
} catch (e) {

See Node.js client docs.

curl -g '[{"channel":"depth","symbols":["BTC_CW"]}]&offset=0'

See HTTP API docs.

cURL & tardis-machine
curl -g 'localhost:8000/replay?options={"exchange":"huobi-dm","filters":[{"channel":"depth","symbols":["BTC_CW"]}],"from":"2020-02-01","to":"2020-02-02"}'

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.

Downloadable CSV files

See CSV data exports.

Official Huobi DM API docs

Huobi DM servers are located in AWS ap-northeast-1 region (Asia Pacific, Tokyo). All it's APIs are proxied through Cloudflare.