About
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
My background is in machine learning, computer science, and building media and entertainment software. That lens shapes how I approach markets too: through structure, repeatability, and careful interpretation of data instead of noise.
Problem
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
The site starts with weekly SPY reports. Over time, I want to extend that with data analysis, machine learning work, and GEX reports that make market structure easier to follow.