Python WebSocket for Real-Time Crypto Data

AlgoCourse | April 15, 2026 4:10 AM

Real-Time Crypto Data with Python WebSockets

REST polling has a ceiling. If you want sub-second latency for your crypto trading bot python, you need WebSockets. This guide walks you through connecting to a live feed, handling drops, and parsing order book updates.

The websockets Library

import asyncio, websockets, json\nasync def stream():\n    uri = "wss://socket.delta.exchange"\n    async with websockets.connect(uri) as ws:\n        await ws.send(json.dumps({"type":"subscribe","payload":{"channels":[{"name":"ticker","symbols":["BTCUSD"]}]}}))\n        async for message in ws:\n            print(json.loads(message))\nasyncio.run(stream())

Handling Reconnections

Connections drop. Always wrap your WebSocket loop in a retry mechanism with exponential backoff. A simple while True with a try/except and asyncio.sleep covers most cases for a robust websocket crypto trading bot python.

Parsing the Order Book

Maintain a local copy of the order book by applying delta updates. Delta Exchange sends a snapshot first followed by incremental updates. Merge them carefully to keep your local book accurate.


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