Systematic investing is an engineering discipline before it is a financial one. Zolovex is built by the people below — leadership, quantitative strategy, and AI research working to one standard: preserve capital first, then pursue growth.
Our CEO didn’t come from a life of privilege or inside access to markets — they arrived in finance through hands-on work and close collaboration with industry practitioners. By working directly with brokers, advisors, and algorithmic teams, they saw that disciplined, systematic capital management was largely reserved for institutions with data, engineers, and infrastructure. Retail options were often discretionary, opaque, or overpromised. That observation drove the decision to build Zolovex: to bring institutional rigor to everyday investors while preserving their control.
The research and engineering group behind the signals — translating market structure into models that hold up outside a backtest.
Builds and validates the factor research behind the equity engine — momentum, mean-reversion, and regime sensitivity across multiple horizons.
Focuses on risk budgeting, position sizing, and stress testing — making sure a strategy's downside behaviour is understood before it goes live.
Works on the machine learning components — kept constrained for stability and explainability, so every prediction carries an attribution rather than a black box.
Three quick questions to match you to the right engine, then a 15-minute walkthrough on real accounts. No obligation.