Case Studies
Real engagements. Measurable results.
92% Faster Strategy Optimisation
150,000+ simulations in under 10 minutes
Eliminated network latency bottleneck in a genetic optimisation pipeline, enabling 10x wider exploration of the strategy parameter space in the same wall-clock time.
68% Win Rate Signal Filter
Two-layer ensemble with auxiliary task prediction
Built a stacked ML architecture where Layer 1 predicts auxiliary outcomes (breakeven, duration, ROI) and Layer 2 meta-learner makes final trade decisions with statistically validated edge.
Zero-Risk Execution After TP1
Phase-based lifecycle with conditional probability updates
Designed a reactive state machine that dynamically manages trade lifecycle and mathematically truncates risk to zero after the first target is hit.
Surviving the March 2020 Regime Break
HMM-based 3-state regime detection with automated parameter adaptation
Deployed a Hidden Markov Model that detected the COVID volatility regime within 48 hours and automatically reduced position sizing, limiting max drawdown to 8.2% vs. 34% under static parameters.
Ready to Apply These Patterns?
These case studies demonstrate how rigorous mathematical thinking and architectural discipline create systems that are robust, scalable, and adaptable across domains.