Bootcamp week by week
- Week 1 — Data to AI. Screenshots, DOM, webhooks and the extension; prompt templates for chart, market and risk analysis.
- Week 2 — Alert agents. Plain-English conditions, multi-timeframe and multi-instrument monitoring, Telegram/Discord delivery.
- Week 3 — Execution with guardrails. Order tickets, size and loss caps, confirm mode, kill switch; paper trading live in class.
- Week 4 — Prove and run. Backtesting with AI, journaling, hosting the agent on a trading VM; demo day.
Market tracks
Cohorts are grouped by market so the examples are yours: futures, forex, crypto, stocks and options, gold and metals.
What you need
- A web trading platform account (demo is fine) — see supported platforms.
- An API key for Claude, OpenAI or Gemini (a few dollars of usage covers the whole bootcamp).
- Four weeks and roughly six hours a week.
Outcomes
- A working, documented AI agent on your platform.
- Your prompt library and rule set.
- A backtest and a journal you actually understand.
- Access to the alumni group and monthly clinics.
Education about tools, process and risk management — not investment advice, and no promise of trading results.