I Built a Self-Healing AI Trading Bot That Learns From Every Failure

My trading bot created an orphan position at 2am and quietly bled money until I woke up. That failure became lesson LL-221 in a system that now has 122+ documented lessons. The system read that lesson the next time it tried a similar trade — and didn't repeat the mistake. That feedback loop is what I want to talk about today. The Problem With "AI Trading" in the Wild Search GitHub for "AI trading bot" and you'll find hundreds of repos. Most of them share the same DNA: pull historical prices, run a backtest, generate a beautiful equity curve, call it a strategy. None of them execute a real trade. I've been building in this space long enough to know the gap between a backtest and a live execution is where most projects die. Options trading makes that gap enormous. Iron condors have four legs — a short call, long call, short put, and long put. If you try to fill them one at a time and the market moves mid-execution, you end up with a partial fill. One or two legs fill; the others don't. Y