About

Why marketpredict.org exists.

I am an algorithmic trader and machine learning engineer who became deeply interested in options markets. I built marketpredict.org after seeing how much useful options data sits behind paywalls or is explained in language most retail traders are never really taught to read.

Background

Computer science, machine learning, and building.

My background starts in computer science, then machine learning, and building software across media and entertainment. That lens shapes how I approach markets too: through systems, repeatability, and careful interpretation of data instead of noise.

Problem

Too much signal is hidden or poorly explained.

A lot of the useful options landscape is still fragmented, expensive, or wrapped in institutional language. That leaves a real information gap for retail traders trying to understand positioning and risk.

Goal

Make the research clearer and more usable.

The site started with weekly SPY reports and GEX work. Open Signal was an experiment that I discontinued once it became clear the pre-market bias could flip too quickly after the open. Current work is centered on RTH live day bias tooling, and I may or may not eventually turn that into a public product.