
I built AlgoChef because I was tired of losing money on strategies that “looked good” in backtesting.
I started trading in 1998, right at the peak of the dot-com bubble. I made money. Then I lost it. Over the years, I lost over $270,000 learning what actually works in the markets—through blown accounts, over-optimization, excessive leverage, and more than a few scams.
The frustrating part? I wasn't losing because I was stupid. I was losing because I had no way to know if my strategies were actually good.
I'd build a system, backtest it obsessively, see incredible results, go live with real money—and watch it fall apart within months. The backtest looked profitable. The Sharpe ratio looked solid. But something was missing.
In 2014, a fund manager recommended I read The Turtle Traders by Michael Covel. That book changed everything. I finally got serious about systematic trading.
Four years later, I learned what hedge funds actually do to validate strategies. Not just profit and Sharpe ratio—but Monte Carlo simulations, statistical significance testing, regime analysis, strategy degradation monitoring, and dozens of metrics I'd never heard of.
The difference was night and day. Suddenly I could see which strategies were robust and which were just curve-fit noise waiting to blow up.
No retail trader could access what the institutions use. And no commercial software was bridging that gap.
For nearly a decade, I tried to make this happen. Partnerships fell through. Outsourced development teams didn't understand trading statistics. Designers had no idea what traders actually need. Every attempt stalled before it left the planning phase.
It would have cost hundreds of thousands to bring together the engineering, design, and trading expertise required—unless you were already running a fund.
Recently, everything finally came together. After 25+ years in the markets, after helping thousands of traders through my YouTube channel, private community, and Algo Trading Masterclass, after testing over 17 million strategies to validate what actually works—I'm finally building the platform I wish existed when I started.
AlgoChef is that platform.
“The tools to do this properly either cost hundreds of thousands of dollars, required a PhD to understand, or meant stitching together Python scripts, spreadsheets, and multiple platforms just to get a basic answer.”
It's the tool that would have saved me $270,000 and years of frustration. It answers the questions that actually matter:
Is this strategy's edge real, or just random noise?
How bad could the drawdowns actually get?
Is my strategy still working, or has it started to fail?
How should I combine multiple strategies?
No stitching together scripts. No PhD required. No six-figure software budget.
Just institutional-grade validation in a modern interface, built by someone who's made every mistake so you don't have to.
We show you what your data actually says, even when it's not what you want to hear. A painful truth today prevents a costly mistake tomorrow.
Powerful analysis shouldn't require a statistics degree. We translate complex metrics into plain-English insights you can act on.
Your strategy data stays yours. We don't sell it, share it, or use it to trade against you. Ever.
of retail algo traders fail
average time to realize a strategy is broken
lost before traders admit defeat
It's not because the strategies are all bad. It's because traders don't have the tools to tell good from bad — until it's too late. AlgoChef changes that.
“I also created the Algo Trading Masterclass, where I teach traders how to build, test, and deploy systematic strategies. AlgoChef is the platform I always wanted but couldn't build — until now.”
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