FTX historical data for all it's instruments is available since 2019-08-01.
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Historical CSV datasets for the first day of each month are available to download without API key. See downloadable CSV files documentation.
Derivative ticker datasets are available since 2020-05-13 - date since we've started collecting that data via FTX REST API (instrument channel).
data type | symbol | date | ​ |
trades | BTC-PERP | 2020-01-01 | ​Download sample​ |
incremental_book_L2 | BTC-PERP | 2020-01-01 | ​Download sample​ |
book_snapshot_25 | BTC-PERP | 2020-01-01 | ​Download sample​ |
quotes | BTC-PERP | 2020-01-01 | ​Download sample​ |
derivative_ticker | BTC-PERP | 2020-06-01 | ​Download sample​ |
trades | FUTURES | 2020-03-01 | ​Download sample​ |
incremental_book_L2 | FUTURES | 2020-03-01 | ​Download sample​ |
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Historical data format is the same as provided by real-time FTX 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-clientimport asynciofrom tardis_client import TardisClient, Channeltardis_client = TardisClient(api_key="YOUR_API_KEY")​async def replay():# replay method returns Async Generatormessages = tardis_client.replay(exchange="ftx",from_date="2020-01-01",to_date="2020-01-02",filters=[Channel(name="orderbook", symbols=["BTC-PERP"])])​# messages as provided by FTX real-time streamasync for local_timestamp, message in messages:print(message)​​asyncio.run(replay())
See Python client docs.
// npm install tardis-devconst { replay } = require('tardis-dev');​async function run() {try {const messages = replay({exchange: 'ftx',from: '2020-01-01',to: '2020-01-02',filters: [{ channel: 'orderbook', symbols: ['BTC-PERP'] }],apiKey: 'YOUR_API_KEY'});​// messages as provided by FTX real-time streamfor 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/ftx?from=2020-01-01&filters=[{"channel":"orderbook","symbols":["BTC-PERP"]}]&offset=0'
See HTTP API docs.
curl -g 'localhost:8000/replay?options={"exchange":"ftx","filters":[{"channel":"orderbook","symbols":["BTC-PERP"]}],"from":"2020-01-01","to":"2020-01-02"}'
​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.
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Click any channel below to see HTTP API response with historical data recorded for it.
​orderbook​
​trades​
​markets - available since 2020-05-22
​orderbookGrouped - available since 2020-07-21
Asorderbook
channel provides data only about the orderbook's best 100 orders on either side, grouped orderbooks channel supplies orderbook data with grouped (collapsed) prices allowing retrieving lower-granularity, higher-depth information about the orderbook.
We set grouping
param to instruments' priceIncrement
value multiplied by 10.
​instrument - generated channel, available since 2020-05-13
Since FTX does not offer currently real-time WebSocket instrument info channel with next funding rate, open interest or mark price data, we simulate it by fetching that info from FTX REST API (https://docs.ftx.com/#get-future and https://docs.ftx.com/#get-future-stats) every 3-5 seconds for each derivative instrument. Such messages are marked with "channel":"instrument"
and "generated":true
fields and data
field has the same format as REST API responses.
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​Market data collection infrastructure for FTX since 2020-05-14 is located in GCP asia-northeast1 (Tokyo, Japan), before that it was located in GCP europe-west2 region (London, UK). Real-time market data is captured via multiple WebSocket connections.
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FTX servers are located in AWS ap-northeast-1 region (Tokyo, Japan).
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