Free Lesson
From trading idea to validated strategy
Part of The AI Evaluation Handbook
30 min
Jun 24, 2026 12:00 PM
Virtual (Zoom)
In this video
What you'll learn
The five points where v1 quietly becomes wrong
Universe, label-time, portfolio rule, stress test, deployment ladder — every clean version is won or lost here.
How to read what v2 actually tells you
Take a plausible v1, find the weak handoff, run a targeted change, and accept the answer — even when v2 says stop.
Coding agents inside the loop, not bolted on
Where agents accelerate the work (probes, scripts, stress grids) and where judgment stays with you. The honest split.
Why this topic matters
A first-pass ML trading strategy almost never deploys as-is. What separates work that holds up is the discipline of running the loop: take a v1, identify what's really holding it back, run a targeted change, and read what v2 honestly tells you — including when it tells you to stop. The book shows first passes; R2P is where you actually run them.
