Data Integrity
Survivorship-bias-free price history, point-in-time fundamentals and venue-level liquidity across exchanges, ECNs and OTC desks.
The platform combines deep market expertise with machine learning, quantitative modelling and disciplined execution. Designed to outperform across regimes and adapt continuously to shifting market structure — on infrastructure the firm built, not infrastructure it rents.
Three years of live development have produced a hybrid platform that merges algorithmic execution with discretionary macro overlay.
A live-tested algorithmic engine engineered for systematic consistency. Models are continuously refined against expanding datasets across FX majors, commodities and U.S. equity indices — targeting outperformance versus the S&P 500 and MSCI World benchmarks.
Macro practitioners shape positioning around capital flows, policy divergence and structural events — oil, rates, equities and FX correlations. The discretionary book sits over the algorithmic core, sized within the firm’s overall risk budget.
Insights are derived from an extensive array of markets and venues. Rigorous data integrity, accuracy and cleanliness underpin every quantitative decision.
Survivorship-bias-free price history, point-in-time fundamentals and venue-level liquidity across exchanges, ECNs and OTC desks.
Statistical, regime-aware and machine-learning models calibrated against decades of market history. Continuous out-of-sample evaluation.
COT analysis, IMM positioning, flows and seasonality — structured into the firm’s macro decisions.
Continuous risk identification, strategy stress-testing and counterparty oversight — pre-trade prevention and post-trade evaluation built into every position.
| Layer | Function |
|---|---|
| Pre-trade | Position sizing, exposure caps, correlation checks. |
| In-trade | Real-time PnL, dynamic risk allocation, kill-switch logic. |
| Post-trade | Strategy attribution, slippage analysis, regime decomposition. |
| Counterparty | Broker exposure monitoring, settlement and credit oversight. |
| Stress | Continuous scenario testing across rates, oil, FX and equity shocks. |
Risk is treated as a design constraint — not a post-trade afterthought. The platform enforces a defined risk budget at every layer, from individual position sizing through to aggregate firm exposure.
Drawdown control is engineered upstream of decision-making. The structure is intended to compound capital through cycles, not to maximise short-window returns at the cost of survival.
The firm operates on infrastructure it engineered. Proprietary OMS, multi-broker execution, internal risk aggregation, strategy allocation engine and the FO Macro Terminal.
Order, position and exposure management built in-house. Single source of truth across strategies and brokers.
Multi-broker routing across regulated counterparties — Vantage Markets, VIG Group and additional institutional venues — with continuous slippage and fill-quality monitoring.
Internal macro intelligence platform built on the firm’s own data pipeline.
The firm publishes its philosophy, framework and macro view. It does not publish entry levels, position sizing, execution mechanics or model parameters. That separation is deliberate — it preserves institutional positioning, protects proprietary execution and prevents reverse engineering.
PUBLISHED · Macro view, framework, structure, reasoning.
UNPUBLISHED · Entry levels, sizing, execution logic, model parameters.
Investors who require deeper visibility receive it under confidentiality through the formal due diligence process — not through the public surface.