Turning market noise
into signal.
Kangaruu is an artificial intelligence and quantitative research company building autonomous trading systems for U.S. equity markets — real-time intelligence, machine-learning trade selection, and automated risk.
Disciplined intelligence, applied to live markets.
Markets generate more data than any desk can read. Our work is separating the signal that predicts return from the noise that doesn't — and acting on it with controlled risk.
Kangaruu develops machine-learning and quantitative systems that identify high-probability trading opportunities across U.S. equity markets. The platform combines real-time market data, alternative datasets, and automated risk management into a single decision engine.
Every position is evaluated through a proprietary framework that fuses quantitative analysis, statistical modeling, and disciplined risk controls — designed to convert complex, fast-moving data into measurable outcomes rather than guesses.
One engine, end to end.
Kangaruu leverages machine learning, real-time market data, alternative datasets, and automated risk management to identify and evaluate trading opportunities the moment they form.
Real-time scanning
Continuous market scanning and event detection across the equity universe.
ML trade selection
Machine-learning models for trade selection and expected-return prediction.
Automated risk
Automated risk and position-management systems with disciplined controls.
Structure & momentum
Market-structure and momentum analysis across timeframes and regimes.
Alternative data
Integration of alternative datasets, including options flow and sentiment.
AI capital allocation
AI-assisted portfolio construction and capital allocation across strategies.
"I build intelligent systems that transform data into decisions."
Over the last 25+ years, I've led large-scale technology, data, and analytics initiatives across financial services, software development, and artificial intelligence — spanning enterprise data management, real-time analytics, machine learning, quantitative research, and software architecture.
Today I'm focused on Kangaruu, building an autonomous trading system for U.S. equities: machine-learning opportunity scoring, real-time event detection, automated risk management, predictive modeling, and large-scale data engineering and feature generation.
Beyond quantitative finance, I've built AI-powered computer-vision platforms, real-time operational-intelligence systems, and enterprise-scale data solutions for highly regulated industries. My passion is converting complex data into actionable intelligence and measurable outcomes.
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