What?

This is the basis of a pipeline for live data from cryptocurrency exchanges. It normalizes cryptofeed WebSocket messages, aggregates, and optionally publishes them to GCP Pub/Sub.

How?

Sequences of trades that have equal symbol, timestamp, nanoseconds, and tick rule are aggregated. As described in the accompanying project django-cryptofeed-werks, aggregating trades in this way can increase information, as they are either orders of size or stop loss cascades.

As well, the number of messages can be reduced by 30-50%

By filtering aggregated messages, for example only emitting a mesage when an aggregated trade is greater than min_volume, the number of messages can be reduced more.

Example

The following are two sequential aggregated trades by timestamp, nanoseconds, and tick rule.

As it was aggregated from 4 raw trades, the second trade has ticks 4.

[
    {
        "timestamp": 1620000915.31424,
        "price": "57064.01",
        "volume": "566.6479018604",
        "notional": "0.00993004",
        "tickRule": -1,
        "ticks": 1
    },
    {
        "timestamp": 1620000915.885381,
        "price": "57071.2",
        "volume": "9376.6869202914",
        "notional": "0.16429813",
        "tickRule": 1,
        "ticks": 4
    }
]

An example filtered message, emitted because the second aggregated trade exceeds min_volume >= 1000

Information related to the first trade is aggregated with the second.

[
    {
        "timestamp": 1620000915.885381,
        "price": "57071.2",
        "volume": "9376.6869202914",
        "notional": "0.16429813",
        "tickRule": 1,
        "ticks": 4,
        "high": '57071.2',
        "low": '57064.01',
        "totalBuyVolume": "9376.6869202914",
        "totalVolume": "9943.3348221518",
        "totalBuyNotional": "0.16429813",
        "totalNotional": "0.17422817",
        "totalBuyTicks": 4,
        "totalTicks": 5
    }
]

For 1m, 5m, 15m candles, there is an optional parameter window_seconds.

For settings, see demo.py

Supported exchanges

✅ Binance

✅ Bitfinex

✅ Bitflyer

✅ BitMEX

✅ Bybit

✅ Coinbase Pro

✅ Deribit

✅ FTX

✅ Upbit

Contributing

Install dependencies with poetry install. The demo is built with invoke tasks. For example, invoke build

Future plans

Order book aggregation, in the manner of crypto-whale-watching-app

bazickoff / cryptofeed-werks