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I watched traders lose millions on strategies that were fake. So I built an AI that solves that
Here's the dirty secret of trading: almost every "edge" you see online is fake. Not intentionally people just don't know how to test properly. They overfit to historical data. They don't correct for multiple testing. They cherry-pick the one timeframe where it worked. They look at in-sample results and think they found something.
I saw this from the inside. I'm a quant I spent years watching even smart traders make the same statistical mistakes over and over. And the tools out there? They let you do it. Pine Script doesn't stop you from overfitting. Python backtesting libraries don't warn you about data snooping. QuantConnect gives you 16 hours of compute per experiment and zero guardrails on methodology.
So we built Varrd.
It's not a backtesting tool. It's a system that an LLM gets placed into where it is physically impossible to test wrong. The AI runs inside a framework with hard guardrails:
