Systematic · Multi-Asset · Rule-Based

Systematic Allocation
Across Global Markets

Model-driven positioning across equities, fixed income, commodities and FX. Fully rule-based. No discretionary input.

For professional use only
CAGR 11.21%
Max Drawdown −10.01%
Sharpe Ratio 1.43
Period 2000–2025
Strategies 4
Asset Classes Multi
A systematic allocation framework built for consistent, rule-based exposure across global asset classes.

APA Quant integrates cross-asset signals with volatility-aware positioning to manage risk and adapt to changing market environments. The model operates across equities, fixed income, commodities and FX simultaneously.

All allocation decisions are driven by predefined conditions — derived from price data, volatility regimes and cross-asset signals. There is no discretionary override at any stage of the process.

No forecasts. No narratives. Only systematic allocation.

Four independent strategy layers — each covering a distinct asset universe, risk profile, and signal architecture.

01
Systematic Framework
Rule-based strategies operating without discretionary input. All decisions are driven by predefined conditions derived from observable market data.
02
Cross-Asset Signals
Model outputs across equities (US and European), commodities, global indices and FX. Each module operates independently with dedicated entry, exit and sizing logic.
03
Multi-Asset Universe
Diversified exposure across regions and asset classes. Designed to reduce dependency on single market dynamics and correlation regimes.
04
Risk Structuring
Volatility-aware positioning with dynamic exposure adjustment. Circuit breakers and drawdown governors active at both strategy and portfolio level.
Built on
discipline,
not discretion.

Every allocation decision follows a predefined rule. No exceptions, no overrides, no narratives.

  • Rule-based decision architecture with no discretionary intervention
  • Volatility-adjusted exposure and dynamic leverage management
  • Cross-asset diversification across four independent modules
  • Risk-first allocation design with defined drawdown limits
  • Fully systematic execution, compatible with API-based infrastructure
CAGR
11.21%
Annualised return
Max Drawdown
−10.01%
Peak-to-trough
Sharpe Ratio
1.43
Risk-adjusted return
Observation Period
2000–2025 Backtested · 4 strategies
Model-based results over the observed period (2000–2025). Aggregate portfolio across four strategies, €100,000 reference capital per strategy. Past performance does not guarantee future results. Methodology available upon request.
Tier 01
Research
Access
Free
Selected strategy insights, regime updates and macro context. Delivered via the public Telegram channel.
Join Channel
Tier 03
Institutional
Integration
On request
API-based execution for qualified counterparties (e.g. Interactive Brokers TWS). Positioning data available for direct portfolio overlay. Access provided on a selective basis.
Enquire
Get in
touch.

Institutional inquiries and methodology documentation available upon request. Access provided on a selective basis for qualified counterparties and professional investors.

Organisation
APA Quant
Location
London, United Kingdom
Research