An automated research bot designed to gather, analyze, and synthesize quantitative finance data — streamlining the research workflow for strategy development and market analysis.

The latest iteration of a systematic quantitative trading model, featuring refined signal generation, risk management logic, and backtesting capabilities built from the ground up.

An earlier version of the quant trading system exploring different strategy approaches, position sizing methods, and performance evaluation frameworks.

The foundational version where it all started — a first-principles approach to building a quantitative trading strategy with basic signal logic and simulation.