Built by Engineers. Run by Algorithms.

I spent over a decade building enterprise software systems for insurance and financial services companies. Large-scale .NET architectures, cloud infrastructure, complex data pipelines. The kind of systems that run reliably at scale because they have to.

When I started trading futures, I brought that same engineering mindset. I built tools, ran experiments, iterated. And I noticed something: every time I traded manually, I was the weakest link. The signals worked. The risk parameters worked. What did not work was me, at 2am, second-guessing an entry or moving a stop.

So I removed myself from the equation. Not from the business. From the execution. I spent two years building a system that generates signals, manages risk, and executes trades across a fleet of accounts without any human input during market hours. The result is Trident AI.

Today, my daily involvement is roughly 12 minutes: confirm the configuration, start the system before bed, and review results after the market close in the evening. The rest is managed by AI that has been live tested for over 2+ years.