About Us
Sydney Quantitative is a systematic global macro manager founded in 2022 in Sydney, Australia. The firm’s specialised core team originates from proprietary trading and quantitative research backgrounds, and have spent more than 15 years developing a multi-asset, frequency-agnostic forecasting platform that applies advanced machine learning and statistical techniques to global markets. The IP for this platform is wholly and exclusively owned by Sydney Quantitative
Fully Licensed and Regulated
Fully AFSL Compliant, Approved to Manage External Capital
Proprietary Forecasting Platform
Our exclusively owned and IP-protected 'asset-and-frequency-agnostic' forecasting platform enables us to take a unique cross-sectional view of Global Markets
Quantitative Approach Driven by Machine Learning and Statistical Analysis
Our team's extensive experience pioneering quantitative applications of machine learning to financial instruments allows us to combine established quantitative techniques with modern machine learning, enabling continuous, adaptive discovery of alpha sources
Unique Approach, Unique Results
Our idiosyncratic, short-horizon signals deliver a distinct return and risk profile, providing allocators with meaningful diversification from other conventional short-term trading and CTA strategies
True Alpha.
Proven Differentiation.
Many quantitative strategies in the market are variations of well-known approaches.
While they may appear to generate alpha, their results often reflect exposure to well-understood risk factors and structural inefficiencies or transient market conditions. When those factors become crowded or market conditions shift, performance typically deteriorates.
Our process is designed to generate genuine, unique sources of alpha through a broad, cross-asset framework that captures a diverse set of market behaviours and dynamics. The resulting signals combine characteristics of multiple factors and regimes, enabling the strategy to remain adaptive and effective across a wide range of market environments
