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tardis-machine
Advanced tools
Fast locally installable server with built-in local caching, available via NPM & Docker, providing on-demand tick-level cryptocurrency real-time streaming and market data replay from any moment in time in exchange's WebSocket data format that uses tardis.
tardis-machine
is a fast locally installable server with built-in local caching, that uses tardis.dev HTTP API under the hood. It provides streaming HTTP and WebSocket endpoints that offer on-demand tick-level crypto market data replay from any moment in time in exchange's Websocket data format.
Check out tardis-client
as well if you're using Node.js.
Accessible via /replay?exchange=<EXCHANGE>&from=<FROM_DATE>&to=<TO_DATE>&filters=<FILTERS>
Allows replaying historical crypto exchange WebSocket data feed via streaming HTTP response (new line delimited JSON). Returns up to 400 000 messages per second (depending on the machine set-up and local cache ratio).
http://localhost:8000/replay?exchange=bitmex&from=2019-05-01&to=2019-05-02&filters=[{"channel":"trade"}]
- returns all trades that happened on BitMEX on 1st of May 2019 in ndjson format.http://localhost:8000/replay?exchange=bitmex&from=2019-04-01&to=2019-04-02&filters=[{"channel":"trade","symbols":["XBTUSD","ETHUSD"]},{"channel":"orderBookL2","symbols":["XBTUSD"]}]
- returns all trades that happened on BitMEX on 1st of April 2019 for XBTUSD
and ETHUSD
as well as orderbookL2
snapshot and updates for XBTUSD
in ndjson format.name | type | default value | description |
---|---|---|---|
exchange | string | - | requested exchange name. Check out allowed echanges |
from | string | - | replay period start date (UTC) - eg: 2019-04-05 or 2019-05-05T00:00:00.000Z |
to | string | - | replay period end date (UTC) - eg: 2019-04-05 or 2019-05-05T00:00:00.000Z |
filters (optional) | Url encoded JSON string with {channel:string, symbols?: string[]}[] structure | undefined | optional filters of requested data feed. Use /exchanges/:/exchange API call to get allowed channel names and symbols for requested exchange |
{"localTimestamp":"2019-05-01T00:09:42.2760012Z","message":{"table":"orderBookL2","action":"update","data":[{"symbol":"XBTUSD","id":8799473750,"side":"Buy","size":2333935}]}}
{"localTimestamp":"2019-05-01T00:09:42.2932826Z","message":{"table":"orderBookL2","action":"update","data":[{"symbol":"XBTUSD","id":8799474250,"side":"Buy","size":227485}]}}
{"localTimestamp":"2019-05-01T00:09:42.4249304Z","message":{"table":"trade","action":"insert","data":[{"timestamp":"2019-05-01T00:09:42.407Z","symbol":"XBTUSD","side":"Buy","size":1500,"price":5263,"tickDirection":"ZeroPlusTick","trdMatchID":"29d7de7f-27b6-9574-48d1-3ee9874831cc","grossValue":28501500,"homeNotional":0.285015,"foreignNotional":1500}]}}
{"localTimestamp":"2019-05-01T00:09:42.4249403Z","message":{"table":"orderBookL2","action":"update","data":[{"symbol":"XBTUSD","id":8799473700,"side":"Sell","size":454261}]}}
{"localTimestamp":"2019-05-01T00:09:42.4583155Z","message":{"table":"orderBookL2","action":"update","data":[{"symbol":"XBTUSD","id":8799473750,"side":"Buy","size":2333838},{"symbol":"XBTUSD","id":8799473800,"side":"Buy","size":547746}]}}
localTimestamp
is a date when message has been received in ISO 8601 format with 100 nano second resolution.
message
is and JSON object/array with exactly the same structure as provided by particular exchange.
Check out tests to see how such messages stream can be easily consumed using Node.js streams and async iterators.
Accessible via /ws-replay?exchange=<EXCHANGE>&from=<FROM_DATE>&to=<TO_DATE>
Exchanges & various 3rd party data providers WebSocket APIs allows subscribing only to real-time data feeds and there is no way to subscribe to and "replay" market from any point in the past. By using tardis-machine
that is now possible.
Example below shows how to subscribe to BitMEX historical data feed (from 2019-06-01 to 2019-06-02) to trade:XBTUSD
and orderBookL2:XBTUSD
channels and replay such stream as if it was a real-time one. Subscribe
request messages format as well as received messages format is exactly the same as in native exchanges WebSocket APIs.
const ws = new WebSocket('ws://localhost:8000/ws-replay?exchange=bitmex&from=2019-06-01&to=2019-06-02')
ws.onmessage = message => {
console.log(message)
}
ws.onopen = () => {
const subscribePayload = {
op: 'subscribe',
args: ['trade:XBTUSD', 'orderBookL2:XBTUSD']
}
ws.send(JSON.stringify(subscribePayload))
}
In many cases such websocket historical data feeds can be consumed using already available WebSocket clients for various exchanges as in example below.
That opens the possibility of having single data pipeline for real-time trading and backtesting.
Check out tests for more examples.
In contrast to HTTP API for WebSocket API filters aren't provided explicitly as those are created based on subscribe
messages over WebSocket received in first 5 seconds of the connection.
name | type | default value | description |
---|---|---|---|
exchange | string | - | requested exchange name. Currently supported: bitmex, coinbase, deribit, cryptofacilities, bitstamp, okex, ftx, kraken, bitflyer, gemini |
from | string | - | replay period start date (UTC) - eg: 2019-04-05 or 2019-05-05T00:00:00.000Z |
to | string | - | replay period start date (UTC) - eg: 2019-04-05 or 2019-05-05T00:00:00.000Z |
npx
(requires Node.js v12 installed on host machine)That will start tardis-machine server running on port 8000
by default (port can be changes --port
)
npx tardis-machine --api-key=YOUR_API_KEY
If you'd like to test it out on sample data (first full day of each month) simply run the command without --api-key
option.
npx tardis-machine
Run npx tardis-machine --help
to see all available options (setting custom cache dir etc.)
npm
(requires Node.js v12 installed on host machine)Installs tardis-machine
globally.
npm install -g tardis-machine
tardis-machine --api-key=YOUR_API_KEY
If you'd like to test it out on sample data (first full day of each month) simply run the command without --api-key
option.
tardis-machine
Run tardis-machine --help
to see all available options (setting custom cache dir etc.)
docker run -v ./host-cache-dir:/.cache -p 8000:8000 -e "TM_API_KEY=YOUR_API_KEY" -d tardisdev/tardis-machine
Command above will pull and run latest version of tardisdev/tardis-machine
image. Local proxy will be available on host via 8000
port (eg http://localhost:8000/replay/...
).
It will also pass YOUR_API_KEY
for accessing the data (otherwise only first day of each month is accessible).
Finally it will use ./host-cache-dir
as persistent volume (bind mount) cache dir (otherwise each docker restart will result in loosing local cache)
In order to debug issues/see detailed logs one can run:
docker run -v ./host-cache-dir:/.cache -p 8000:8000 -e "TM_API_KEY=YOUR_API_KEY" -e="DEBUG=tardis*" -d tardisdev/tardis-machine
Setting DEBUG=tardis*
wil cause to print various useful debug logs to stdout.
If using volumes causes issues (Windows?) it's perfectly fine to run docker without it (with the caveat of potentially poor local cache ratio after container restart)
### running without persitent local cache
docker run -p 8000:8000 -e "TM_API_KEY=YOUR_API_KEY" -d tardisdev/tardis-machine
tardisdev/tardis-machine
docker image can be used in K8S setup as well (just set up proper env variables and persisten volumes in analogue way).
tardis-machine uses debug package for verbose logging and debugging purposes that can be enabled via DEBUG
environment variable set to tardis*
.
Check out API docs.
MPL-2.0
FAQs
Locally runnable server with built-in data caching, providing both tick-level historical and consolidated real-time cryptocurrency market data via HTTP and WebSocket APIs
The npm package tardis-machine receives a total of 44 weekly downloads. As such, tardis-machine popularity was classified as not popular.
We found that tardis-machine demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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