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.