Dave Mabe - AI Overconfidence in Systematic Trading

Systematic day trader and former CTO Dave Mabe joined me on Ditching Hourly to explain where AI helps experienced traders and where its overconfidence creates expensive risks. We cover systematic versus discretionary trading, automated trade execution, backtesting, Claude Code workflows, unit testing, AI-generated strategy ideas, the danger of building complex financial software without domain expertise, and how to turn expert judgment into useful guardrails and questions instead of pretending AI can supply one perfect answer. Chapters 00:01 — Systematic Trading Basics 04:57 — How AI Entered Dave's Workflow 07:45 — Unit Tests and AI-Assisted Development 12:00 — From Manual Approval to Auto Mode 13:34 — Auto Mode and the Trade Client 18:39 — The Strategy Cruncher and Backtesting 22:10 — Trading Versus Investing 26:22 — Turning Market Patterns into Strategies 29:03 — AI's Dangerous Overconfidence 33:45 — The Backtesting Software Trap 37:14 — Operational AI Inside MabeKit 40:40 — Encoding Expert Judgment 44:38 — Guidance Instead of Perfect Answers 50:10 — AI Adoption in Trading 54:33 — Experts, AI, and the Road Ahead About Dave Mabe Dave has traded systematic day-trading models for 25 years and runs roughly 20 to 25 models each day. He was formerly CTO of Trade Ideas and later started MabeKit, software for short-term traders who want to move into systematic trading. Learn more at davemabe.com, or see his free backtesting course at betterbacktesting.com. ---- Before you go! The next time someone asks you for your hourly rate, I want you to stop what you're doing and head on over to valuepricingbootcamp.com to sign up for my free value pricing email course. Hope to see you there!