Institutional Overview · April 2026

Methodology &
Operational
Architecture

A technical overview for allocators conducting due diligence on the APA Quant systematic framework.

For qualified counterparties and professional investors only
Methodology
A fully systematic framework operating without discretionary override at any stage.

APA Quant generates allocation decisions exclusively from observable market inputs — price data, realised volatility, cross-asset momentum and regime classification. No macroeconomic forecasting. No qualitative judgement.

The architecture separates signal generation, position sizing and risk management into independent layers. Each layer operates according to predefined rules, ensuring decisions are reproducible and auditable across the full observation period.

The framework was developed and backtested over a 25-year window (2000–2025), spanning multiple market regimes including the dot-com correction, the 2008 financial crisis, COVID-19 and the 2022 rate cycle.

Strategy Architecture

Four independent strategy modules. Each operates with a dedicated signal logic, asset universe and risk parameters. Correlation between modules is structurally low by design.

Module 01
USA Ultimate
US Equities · ETFs · Leveraged
Trend-following model applied to US large-cap equity indices. Uses dual moving average crossover with volatility-adjusted position sizing. Leverage applied dynamically based on realised volatility regime. Active drawdown circuit breaker at strategy level.
Signal Type
Trend / MA
Leverage
Dynamic
Output
Long / Flat
Module 02
Europe Fortress
European Equities · Broad Market
Systematic allocation to European equity indices with a volatility-dampening overlay. Designed to reduce correlation to US equity beta. Positioning based on momentum and regime classification; defensive by construction during elevated volatility environments.
Signal Type
Momentum
Leverage
1× Max
Output
Long / Flat
Module 03
Global Golden
Gold · Commodities · Safe Havens
Allocates to gold and commodity proxies based on cross-asset stress signals and inflation regime indicators. Acts as a portfolio-level diversifier, generating positive signal during equity stress periods. Low correlation to modules 01 and 02 by design.
Signal Type
Cross-asset
Leverage
1× Max
Output
Long / Flat
Module 04
Currency Shield
FX · G10 Currencies · Overlay
FX overlay strategy operating on G10 currency pairs. Activates hedging exposure based on realised volatility conditions and cross-asset divergence signals. Functions independently from equity modules; provides meaningful diversification during currency dislocations.
Signal Type
FX Volatility
Leverage
Variable
Output
Active / Flat
Signal & Risk Architecture
Four layers.
One process.

Signal generation, position sizing, risk management and execution are structurally separated. Each layer is independently auditable.

  • 01
    Signal GenerationEach module produces a binary signal (Long / Flat) based on its own indicator set. No probabilistic forecasting. No analyst override. Signals are computed end-of-day from closing prices.
  • 02
    Volatility TargetingPosition size is scaled inversely to realised volatility. Target annualised portfolio volatility is defined at the framework level. Exposure is reduced automatically as volatility rises — no manual intervention required.
  • 03
    Drawdown ControlsCircuit breakers operate at both strategy and portfolio level. Breaches of predefined drawdown thresholds trigger automatic de-risking. Full re-engagement requires a predefined recovery condition to be met.
  • 04
    Execution CompatibilityOutputs are structured for direct integration with API-based execution infrastructure (e.g. Interactive Brokers TWS). Latency between signal and delivery is minimised through automated pipelines.
Operational Delivery

Allocation outputs are generated daily, after market close, across all four strategy modules simultaneously. Delivery occurs via dedicated channel prior to the following session open.

The framework is fully automated. No manual intervention is required between signal generation and output delivery. Infrastructure is monitored continuously.

For institutional counterparties, direct API integration is available. Positioning data can be consumed programmatically and applied as a portfolio overlay or standalone allocation.

  • Daily positioning output per strategy (Long / Flat)
  • Leverage and exposure level per module
  • FX overlay activation status
  • Volatility-adjusted sizing for each signal
  • Regime classification (risk-on / risk-off / transition)
  • Portfolio-level drawdown status and circuit breaker state
Access Model
Access Layer Content & Scope Format Basis
Research Selected regime analysis and strategy commentary Public channel Open
Operational Daily positioning signals across all four strategies Dedicated channel Subscription
Institutional Full output feed · API integration · Portfolio overlay data API / Structured Selective

Institutional access provided on a selective basis to qualified counterparties. Methodology documentation and full backtest data available upon request.

Performance  Indicative
CAGR
11.21%
Annualised return
Max Drawdown
−10.01%
Peak-to-trough
Sharpe Ratio
1.43
Quality of returns
Period
2000–2025
Backtested
Model-based backtested results (2000–2025). Aggregate portfolio across four strategy modules with €100,000 reference capital each. Results reflect end-of-day signal execution at closing prices. Slippage and transaction costs are not modelled. Past performance does not guarantee future results. Full methodology and strategy-level data available upon request.
Contact
Enquiries &
due diligence.

Methodology documentation, full backtest data and strategy-level performance attribution available upon request to qualified counterparties.

Request Documentation
Organisation
APA Quant
Location
London, United Kingdom
Email
apaquant@proton.me
Research
t.me/APAQuant
Web
apa-quant.com