cryptofeed

To normalize real-time cryptocurrency data from multiple exchanges, you can use cryptofeed to unify trades, order books, and ticker streams from 40+ venues into consistent symbol formatting and data structures via WebSocket connections.

NBBO aggregation synthesizes best bid and offer data from multiple cryptocurrency venues, enabling you to build arbitrage strategies and multi-exchange analytics using normalized real-time market data streams.

Yes, you can stream normalized crypto WebSocket data directly into backends like Redis, MongoDB, Kafka, and InfluxDB, allowing you to feed data lakes and power downstream storage systems.

You can set up a feed handler by instantiating it, subscribing to your desired exchanges, registering callbacks for trades or order books, and running the handler to begin receiving real-time market data updates.

Yes, cryptofeed requires Python 3.8 or higher along with the cryptofeed package, and you may need optional dependencies depending on your chosen backends like Redis, MongoDB, Kafka, or InfluxDB.

Cryptofeed handles WebSocket connection drops through automatic reconnects and REST fallback mechanisms, ensuring robust streaming and continuous market data delivery from cryptocurrency exchanges.