We build quantitative models grounded in statistical rigor — from signal discovery to full walk-forward optimisation. Every strategy undergoes multi-year backtesting across varied market regimes before deployment consideration.
Strategies are deployed via direct broker API integrations with sub-second execution. Our low-latency infrastructure, hosted on AWS, ensures 24/7 uptime with real-time monitoring, alerting, and automated failover protocols.
Drawdown controls are hardcoded into every strategy. Dynamic position sizing adjusts exposure based on volatility regimes. Multi-strategy allocation ensures capital is distributed optimally across uncorrelated systems.
Deep profiling of client goals, risk tolerance, capital base, and time horizon. We define success before a single line of code is written.
Quant researchers identify alpha opportunities from proprietary signal libraries. Hypotheses are tested for statistical significance and refined iteratively.
6+ years of tick data. Walk-forward testing. Monte Carlo simulations. Out-of-sample validation. Strategies that fail any gate are rejected — not deployed.
Paper-trading phase, then capital-scaled live execution. Continuous monitoring with weekly performance reporting directly to the client.