cryptofeed

You can normalize real-time crypto market data across 40+ exchanges by subscribing to a unified FeedHandler that standardizes L1/L2 book, trades, and ticker channels into a consistent structure, eliminating the need to handle disparate exchange formats individually.

The best way to aggregate best bid and ask across crypto exchanges is using NBBO-style aggregation over a unified WebSocket data feed. This approach synthesizes real-time L1 book data from multiple venues to find the top-of-book prices.

Yes, you can stream cryptocurrency WebSocket feeds directly to Redis or Kafka using built-in backend integrations. The system allows you to route normalized market data straight into various storage and messaging systems via optional backend components.

Yes, this real-time crypto data feed supports REST API fallback. It uses a WebSocket-first design to ensure robust connectivity, automatically falling back to REST endpoints when WebSocket connections encounter issues.

Python 3.8 or higher is required for processing real-time crypto exchange feeds. The system ensures compatibility with Python 3.8+ environments to handle WebSocket connections and data normalization tasks.

To install and start receiving normalized cryptocurrency market data, use pip to install the package with optional backends via cryptofeed[all]. Then, initialize a simple FeedHandler subscribing to a single exchange to begin receiving data.