AXIS®
Systematic thinking at market speed.
Systematic investing engineered for high-frequency markets.
AXIS® brings investment judgment, quantitative research and advanced technology into a systematic strategy built for high-frequency trading. Investment professionals, quantitative researchers, mathematicians and engineers work across macroeconomic conditions and market behavior to develop hypotheses, test them rigorously and translate the strongest ideas into models that can operate systematically in the market.
Where research becomes
a trading system.
Models, software and investment expertise come together in a process designed to move from an investment thesis to systematic market execution.
Read the market in context.
AXIS® research looks across macroeconomic conditions, market structure and variables such as price behavior, volatility, liquidity and cross-market relationships. The team looks for changes that may carry investment significance and develops those observations into hypotheses that can be evaluated quantitatively. The focus is not simply on finding patterns, but on understanding what may be driving them and whether that information can support a systematic investment decision.
Build the model.
Challenge the result.
Quantitative research turns an investment hypothesis into a model that can be measured, tested and challenged. The team evaluates how relationships behave across market regimes, which variables contribute meaningfully to the result and how sensitive the model is to its assumptions. Statistical methods, machine learning and computational tools can extend that work, but the standard remains the same: the evidence has to hold up before an idea moves forward.
From model to market, systematically.
When a model is ready for implementation, its investment logic is encoded into programmed rules that can evaluate market inputs and respond as conditions change. In high-frequency trading, that process must operate with speed, consistency and discipline. AXIS® connects research, software and execution so that the strategy can act on a defined investment thesis without relying on a manual decision at each step.
“A strong backtest is useful, but it’s not the end of the work. I want to know why the relationship is there, what is actually driving it, and how it behaves when the market changes. You learn a lot by pushing on the assumptions and looking closely at where a model stops working. With AXIS®, that same discipline carries into implementation. The research has to make sense statistically, economically and in the way the strategy will actually trade.”