Guard-AI

What inspired me to build this? I’ve traded. I’ve broken my own rules. I’ve watched good strategies fail because I didn’t follow them. The real problem in trading isn’t usually the strategy, it’s execution under pressure. After losses, emotions take over. After wins, overconfidence kicks in. And that’s where accounts get destroyed. I wanted to build something that could sit between me and the market and say, “No. That’s not your plan.” Guard AI was inspired by that need for a defensive layer it is not another indicator, not another signal, but something that protects traders from themselves. The problem I'm trying to solve? The execution gap. Traders often know what they should do. But in live markets, discipline collapses. Guard AI solves that by: Turning strategies into structured rules Preventing revenge trading Locking accounts after daily loss limits Analyzing behavioral patterns over time It’s not about prediction. It’s about enforcement. How my process evolve while building this? Initially, I thought I was building a smarter trading assistant. But during development, I realized prediction isn’t the core issue — psychology is. So I shifted the focus away from signals and toward discipline enforcement. I audited my own claims, removed features that weren’t fully implemented, and doubled down on what actually worked: rule synthesis, structured evaluation, and behavioral analysis. The project evolved from “AI that helps you trade better” to “AI that stops you from sabotaging yourself.” And that shift changed everything.