Research Pillar

Governance & Discipline

Process that survives cycles. This pillar documents decision hygiene, drawdown policy, and model governance so allocators can see not just what happened, but why. Governance exists to prevent narrative drift under stress.

Market Structure System Architecture Infrastructure & Integrity Governance & Discipline Global Markets

What this pillar covers

Decision hygiene: how humans interact with a rules-based engine
Drawdown policy: halts, cool-downs, and pre-committed responses
Model governance: change control, versioning, and sign-off logic
Audit trails that survive stress: evidence over storytelling
Preventing discretionary override from becoming hidden strategy drift

Core research programs

Governance

Decision hygiene

Program · Human-in-the-loop discipline

Protecting the engine from discretionary override and narrative drift. Focus: decision protocols, when humans are allowed to intervene, and how interventions are documented and bounded.

Risk Policy

Drawdown & halt policy

Program · Hard rules around pain

Pre-agreed responses to loss so decisions aren't made inside the drawdown. Focus: halts, cool-downs, reduced allocation rules, and behaviour-based escalation paths.

Audit

6-month audit

Program · Verified behaviour

What a verified, live audit actually proves about system integrity. Focus: evidence standards, what counts as "behaviour preserved," and why audits under stress matter more than summaries.

Research in Governance & Discipline

1 week ago · 12 min read

Governance & Discipline

Allocation Scaling: Scale on Behaviour, Not ROI

Why Allocation Scaling Should Follow Behaviour, Not ROI Allocation scaling sits at the centre of institutional capital management. Most operators treat the decision as an output of recent returns. Larger allocations follow stronger ROI. Smaller allocations follow weakness. By contrast, behaviour-first systematic frameworks treat scaling decisions as questions about system stability, not about reward. The...

1 month ago · 13 min read

Risk Framing

Phase-Dependent Drawdown: Why Max DD Must Change Across System Phases

Phase-Dependent Drawdown: Why Maximum Drawdown Must Evolve With Your System Maximum drawdown is one of the most quoted figures in systematic trading governance. Engineers define it before deployment. Risk teams enforce it as a hard boundary. Many systems treat it as a fixed number, permanent across all stages of operation. However, this approach misses something...

1 month ago · 14 min read

Governance & Discipline

Audit Standards Systematic Trading: What Behaviour Proves

Audit Standards in Systematic Trading: What Verified Behaviour Proves Most systematic trading conversations begin with results. Win rates, monthly returns, and drawdown figures dominate the review process for most observers. However, those metrics answer only one question: did the system produce profit? They do not address a deeper and more operationally important question: did the...

3 months ago · 13 min read

Governance & Discipline

Model Governance: Change Control and Versioning

Why Model Governance Defines System Longevity Model governance determines whether a systematic trading engine remains trustworthy over time. Most infrastructure discussions focus on signal quality, execution logic, or regime classification. However, the governance layer that controls how a model changes, who authorises those changes, and how prior versions stay accessible often receives the least design...

6 months ago · 13 min read

Governance & Discipline

Pre-Commitment Rules: Decisions Made Before Pain Arrives

Pre-Commitment Rules: Decisions Made Before Pain Arrives Most systematic trading systems fail not because their logic breaks or their data degrades, but because systems still allow critical decisions during periods of maximum stress. Pre-commitment rules eliminate this structural weakness by removing choice at the exact moment when judgment becomes unreliable. In behaviour-first systematic trading infrastructure,...