Quantitative research, development and models design
Hypothesis-driven research grounded in structural market anomalies, not data mining, forged through live futures operation.
Tirmann is a quantitative software studio specialising in the research, development and licensing of systematic algorithmic portfolios for investment firms.
We design bespoke algorithmic portfolios built around your firm's specific margin capacity, technical infrastructure, and trading objectives. Each system is assembled from rigorously validated strategies, diversified across futures markets.
We provide a scalable algorithmic framework aligned with your technical infrastructure. Clients select the exact number of operational seats required to match their internal margin constraints.
Active slots are then populated by automated models from our proprietary reserve of validated futures strategies. This seat-based architecture ensures structural coherence and mathematical synergy across all slots, adapting systematically to changing market conditions.
You require full transparency before deployment. Every system we deliver is accompanied by a comprehensive Blueprint report covering 15+ years of historical backtests, walk-forward optimization, out-of-sample validation, and Monte Carlo stress testing across multiple market regimes.
All strategic logic, allocation rationale, risk metrics, and performance figures are fully documented giving you the rigour and auditability required for internal review and compliance processes.
Our proprietary algorithmic systems are made accessible to investment firms through a structured, seat-based licence framework designed to integrate seamlessly into your existing execution infrastructure.
The model is built around full client autonomy: no profit-sharing arrangements, no discretionary involvement, and no lock-in periods. You retain complete control over deployment, activation, and capital allocation at all times.
Markets evolve. So does your portfolio. All licensed systems benefit from continuous performance monitoring, rollover alerts, and a monthly rotation protocol governed by objective quantitative thresholds.
Strategies falling below predefined performance criteria are systematically suspended and replaced: ensuring your portfolio remains aligned with current market regimes without requiring active management.
Explore sample configurations built from validated strategies, diversified across markets and timeframes. Each example illustrates the cross-strategy synergy contribute to structural adaptability and disciplined risk management over time.
Hypothesis-driven research grounded in structural market anomalies, not data mining, forged through live futures operation.
Independent stress gates including walk-forward, out-of-sample lockout and Monte Carlo. Failure at any layer triggers immediate decommissioning.
Architecture engineered for deep-liquidity CME futures, with secure VPS blueprints and operational continuity for seamless live execution.
Dedicated technical oversight with real-time integrity checks, stability monitoring and direct-access support alongside every deployment.
Decaying models are systematically suspended and replaced from the validated reserve as market regimes shift. Alpha is perishable.
Predefined mathematical kill-switches at strategy and portfolio level, enforcing a bounded risk profile with zero discretionary override.
We work closely with you to understand your objectives and technical setup. From there, we design and test a personalised algorithmic system built around your specific requirements.
Before any licence is issued, we run a structured validation process. Two steps designed to confirm, with data, that working together makes mathematical sense for both parties.
Avoiding over-optimisation is not a single decision, it is the result of an architecture designed at every level to prevent it. Each step is structured to surface curve-fitting before it reaches production.
Avoiding over-optimisation is not a single decision. It is the result of an architecture designed at every level to prevent it. Each step is structured to surface curve-fitting before it reaches production.
Our approach combines rigorous strategy design, diversified system architecture, and adaptive monthly rotation. The goal: a transparent and disciplined framework that stays aligned with market cycles and is built for structural robustness over time.