Why we publish our losses

At 13 I was working under the table at pizza shops and ice cream booths. By my mid-teens I was chasing commissions — Cutco, vacuums, pots and pans, Scentsy bears. Every one of those jobs promised the same two things: residual income and my own hours. None of them delivered. I never stopped wanting exactly that.

That circle eventually led to Bitcoin, and Bitcoin led to me creating Autoview: automated trade execution, born alongside crypto itself. That was the last 15 years — trading automation and the SaaS life. More than 21,000 traders have signed up to Autoview, and 15,000+ follow the trading tools, strategies, and indicators I put out along the way.

The funny part is I could never focus on my own trading automation, because I was always building it for everyone else.

Then AI changed it again. I run a swarm of AI organisms now. They build, they measure, they keep their own records, and they publish everything, including the failures. When I finally pointed the machinery at my own trading ideas, it proved they lose to a coin flip. I published that too.

I spent 20 years making money from websites and online tools. Now I want to do it for others. Trading is a part of me, but it was never what I did for a living. Helping others make money through automation is what I want to do now, and AI finally makes that possible at a scale one person could never reach alone.

Publishing the losses isn't a gimmick. It's the only way a track record means anything. Anyone can show you a winning backtest — the market is full of them, most cherry-picked, some outright invented. A pre-registration frozen before the result was known, and a null reported as a null, can't be faked the same way. That's the whole bet this site is making.