AI Education for Cross-Asset Trading | Learn with AI Agents

EDUCATION · CROSS-ASSET

AI Education for Cross-Asset Strategies: Learn to Trade Cross-asset with AI Agents

The AI trading course, adapted for cross-asset traders: platforms, sessions, sizing and rules specific to strategies that span equities, futures, FX, crypto, rates and metals — pairs, hedges, macro baskets, risk-on/risk-off rotations. No programming background needed.

What you will build

  • A data feed from your cross-asset platform (Interactive Brokers and TradingView for multi-asset views, with execution routed to the right venue — Tradovate for futures, MT5 or cTrader for FX, Binance or Bybit for crypto) into Claude, ChatGPT or Gemini.
  • Prompt templates for cross-asset chart and market analysis with your own playbook.
  • An alert agent that watches your cross-asset conditions and messages you on Telegram, Discord or email.
  • An execution workflow with cross-asset-specific guardrails, paper-traded first.
  • A journal with AI-written reviews of every cross-asset trade.

What is specific to cross-asset in this track

  • One agent, many platforms: it reads several web platforms at once and reasons across them.
  • Correlation and beta-aware exposure caps across the whole book, not per account.
  • Regime detection from cross-market signals (yields, dollar, VIX, BTC) fed to the AI as structured context.
  • Hedge legs executed on the venue where they are cheapest, with leg-risk guardrails.
  • Consolidated journal and risk dashboard across every platform and asset class.

Formats

  • Self-paced — video lessons, cross-asset templates and prompt library.
  • Live cohort — weekly sessions with live builds on cross-asset platforms.
  • 1-on-1 mentoring — we build your cross-asset agent with you.

Related

Full curriculum · AI extension for cross-asset

Education about tools and process — not investment advice, no promise of trading results.

GET IN TOUCH

Join the cross-asset cohort or book mentoring

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.



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