Gemini

Gemini historical market data details - currency pairs, data coverage and data collection specifics

Gemini exchange historical data for all it's currency pairs is available since 2019-08-30.

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

BTCUSD

2020-01-01

Download sample

incremental_book_L2

BTCUSD

2020-01-01

Download sample

quotes

BTCUSD

2020-01-01

Download sample

trades

ETHUSD

2020-03-01

Download sample

incremental_book_L2

ETHUSD

2020-03-01

Download sample

API Access and data format

Historical data format is the same as provided by real-time Gemini WebSocket Market Data Version 2 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="gemini",
    from_date="2020-01-01",
    to_date="2020-01-02",
    filters=[Channel(name="l2_updates", symbols=["BTCUSD"])]
  )

  # messages as provided by Gemini 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: 'gemini',
      from: '2020-01-01',
      to: '2020-01-02',
      filters: [{ channel: 'l2_updates', symbols: ['BTCUSD'] }],
      apiKey: 'YOUR_API_KEY'
    });

    // messages as provided by Gemini 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/gemini?from=2020-01-01&filters=[{%22channel%22:%22l2_updates%22,%22symbols%22:[%22BTCUSD%22]}]&offset=0'

See HTTP API docs.

curl -g 'localhost:8000/replay?options={"exchange":"gemini","filters":[{"channel":"l2_updates","symbols":["BTCUSD"]}],"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.

Captured real-time channels

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

trade
l2_updates
auction_open
auction_indicative
auction_result

Market data collection details

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

Gemini exchange servers are located in Equinix NY5 data center (Secaucus, New Jersey, USA).

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# 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="gemini", from_date="2020-01-01", to_date="2020-01-02", filters=[Channel(name="l2_updates", symbols=["BTCUSD"])] ) # messages as provided by Gemini real-time stream async for local_timestamp, message in messages: print(message) asyncio.run(replay())

// npm install tardis-dev const { replay } = require('tardis-dev'); async function run() { try { const messages = replay({ exchange: 'gemini', from: '2020-01-01', to: '2020-01-02', filters: [{ channel: 'l2_updates', symbols: ['BTCUSD'] }], apiKey: 'YOUR_API_KEY' }); // messages as provided by Gemini real-time stream for await (const { localTimestamp, message } of messages) { console.log(localTimestamp, message); } } catch (e) { console.error(e); } } run();