What does a real-time dashboard for Python crypto bot actually do?

It polls bot state from JSON/CSV files via lightweight API, showing live PnL charts, win rates, positions—without touching trading code.

How to build decoupled dashboard for trading bot on AWS EC2?

Use Flask as daemon thread for REST endpoints reading files; serve static HTML/Chart.js frontend. Fix firewalls, thread it, filter legacy data.

Is Vanilla JS + Chart.js enough for crypto bot monitoring?

Yes—for most. No bloat, polls fine, scales to personal use. Ditch React unless you're fundraising.

⚙️ DevOps & Platform Eng

I Built a Live Dashboard for My Python Crypto Bot—And It Changed Everything

Picture this: your crypto bot's humming on AWS, markets flipping wild, and you're glued to a live dashboard showing every twist in your PnL curve. No more blind Telegram pings—this is trading with eyes wide open.

theAIcatchup Apr 10, 2026 4 min read

Live dashboard showing PnL chart, trades, and bot stats for Python crypto trader

⚡ Key Takeaways

Decouple your dashboard with JSON files and Flask to protect trading logic. 𝕏
Fix common gotchas like threading, legacy CSV, and dual firewalls. 𝕏
Visual PnL curves reveal strategy flaws faster than raw logs ever could. 𝕏

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theAIcatchup

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#aws ec2 monitoring #flask api #python crypto bot #real-time-dashboard #trading bot monitoring

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