Ever needed live forex rates for a side project and got stuck with sluggish polling? I was in the same boat until I rewired my data pipeline around WebSocket. Here’s the quick, pragmatic setup that now powers my market-monitoring toolkit. The problem REST APIs force you to ask for data. Even with short intervals you’ll get gaps between requests, and during volatile seconds those gaps hide price action you might want to reference in a blog post or tutorial. For anyone who writes about currency markets, that latency eats into the content’s perceived accuracy. The fix Use WebSocket. Once connected, the server pushes each tick immediately. I picked a provider (AllTick) with a straightforward subscribe/publish model. You send a JSON subscription for EURUSD and then just handle callbacks. The code Drop this into a script and run it — you’ll see ticks flowing right away. import websocket import json prices = [] def on_message ( ws , message ): data = json . loads ( message ) prices .…