Building a Real-Time Market Dashboard with Python and WebSockets

Real-time market data is essential for active traders. Here's how to build a lightweight dashboard using Python, WebSockets, and a simple web frontend. Architecture Market Data Provider (WebSocket) ↓ Python Backend (asyncio + websockets) ↓ Browser Dashboard (EventSource/SSE) Backend: WebSocket Consumer import asyncio import websockets import json from collections import defaultdict class MarketDataHandler : def __init__ ( self ): self . latest_prices = {} self . subscribers = set () async def connect_feed ( self , url , symbols ): async with websockets . connect ( url ) as ws : # Subscribe to symbols await ws . send ( json . dumps ({ ' action ' : ' subscribe ' , ' symbols ' : symbols })) async for message in ws : data = json . loads ( message ) symbol = data . get ( ' symbol ' ) if symbol : self . latest_prices [ symbol ] = { ' price ' : data [ ' price ' ], ' bid ' : data . get ( ' bid ' ), ' ask ' : data . get ( ' ask ' ), ' volume ' : data . get ( ' volume ' , 0 ), ' timestamp ' : da