Building a Trading VM Where AI Agents Run and Analyze Markets
A hands-on course track: set up a VPS or home server, install the browser, the extension, an MCP server and model access, and run an AI agent that watches markets 24/7 — with monitoring, kill switches and cost control.
What you will build
01
A Windows or Linux VM (cloud VPS, our Chicago hosting, or a home mini-PC) hardened for trading.
02
Chrome with the AI extension and your platform session, kept alive and auto-recovering.
03
An MCP server exposing quotes, positions and orders to Claude or ChatGPT with limits.
04
A scheduler that runs analysis at the times and sessions you choose.
05
Monitoring: uptime checks, log shipping, Telegram alerts when anything stops.
06
Security: separate accounts, read-only vs. trade-only keys, no withdrawal rights, secrets storage.
07
Cost control: model token budgets, screenshot vs. DOM vs. streaming data trade-offs.
Modules
01
1 — Choosing where the agent lives: laptop vs. VPS vs. colocation; latency that matters and latency that does not.
02
2 — OS setup and hardening for a trading box.
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3 — Browser, extension and platform sessions that survive reboots.
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4 — MCP server install and permissions.
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5 — Model access: cloud APIs vs. local models on a GPU box.
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6 — Watchdogs, restarts and kill switches.
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7 — Monitoring and alerting.
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8 — Backups, disaster recovery and the “what if the agent goes rogue” drill.
Do not want to run it yourself?
We host it: AI trading agent VM hosting in Chicago with the full stack pre-installed.
Education about tools and infrastructure — not investment advice.
Ready to learn to trade with AI?
Tell us your market and platform and we will point you to the right program — or book a free 20-minute call.
Join the infrastructure track
Tell us which platform you trade on and what you want AI to handle — data feed, alerts, execution, or learning to do it yourself. A real engineer replies, not a bot.
Email:
Phone: +1 (773) 203-6559
TradingSoft, 420 N Wabash Ave, Ste 512, Chicago, IL 60611
