Building a Live Trading Bot Dashboard

Blind operation is one of the biggest risks in automated crypto trading. A live dashboard lets you monitor your bot in real time without logging into the exchange. Here is how to build one with Flask and Chart.js.

Backend: Flask with SSE

Use Server-Sent Events (SSE) to push updates from your bot process to the browser without WebSockets. Flask makes this simple:

from flask import Flask, Response\napp = Flask(__name__)\n@app.route("/stream")\ndef stream():\n    def generate():\n        while True:\n            yield f"data: {get_pnl()}\n\n"\n            time.sleep(1)\n    return Response(generate(), mimetype="text/event-stream")

Frontend: Chart.js PnL Chart

Display a live cumulative PnL line chart. Update it every second using the SSE stream. Color the line green when PnL is positive and red when negative for instant visual feedback on your crypto trading bot's health.

System Health Panel

Display uptime, number of orders placed, last heartbeat timestamp, and current open positions. This panel alone saves hours of debugging in any serious algo trading course project.