Quantitative FX & Commodities Strategies
Quantitative FX & Commodities Strategies
Systematic FX & commodities via CFDs
A quantitative strategy designed to trade selected foreign exchange and commodities markets using algorithmic models and AI and machine learning research, with disciplined risk management. Implemented through CFDs and intended for professional and qualified investors.
- Asset class
- FX & commodities
- Strategy
- Systematic / quantitative
- Universe
- Selected FX & commodities
- Implementation
- CFDs (leveraged derivatives)
- Eligibility
- Professional / qualified investors
Strategy overview
Investment objective
A systematic quantitative strategy trading selected foreign exchange and commodities markets using algorithmic models, AI and machine learning research, implemented through CFD instruments.
Quantitative FX & Commodities Strategies is a systematic investment strategy designed to trade selected foreign exchange and commodities markets using quantitative models, AI and machine learning research, and disciplined risk management. The strategy is implemented through CFD trading and is intended for professional and qualified investors seeking liquid exposure to alternative systematic strategies.
Strategy overview
Why this strategy
Diversification beyond digital assets
FX and commodities markets provide return drivers that are distinct from digital asset strategies, supporting portfolio diversification.
Systematic, model-driven
Positioning is governed by quantitative models and predefined rules rather than discretionary views.
AI & machine learning research
Signal development and validation apply AI and machine learning techniques within a defined risk and governance framework.
Designed for liquidity
The strategy targets liquid FX and commodities markets, expressed through CFD instruments.
Strategy overview
Investment approach
Market universe
The strategy trades a selected universe of liquid foreign exchange pairs and commodities markets, chosen for liquidity and suitability for systematic implementation.
Systematic model framework
Quantitative models generate signals from market data; the system translates these into CFD positions sized and managed according to predefined rules.
AI and machine learning research
Research applies AI and machine learning techniques to model development and validation, operating within a defined risk and governance framework with human oversight.
CFD-based strategy
This strategy is implemented through Contracts for Difference (CFDs). CFDs are leveraged derivatives that carry significant risk, including losses that may exceed the initial margin. This strategy does not involve direct ownership of the underlying assets.
Strategy overview
Risk management
- Predefined position sizing and exposure limits across markets
- Systematic risk-reduction rules embedded in the models
- Monitoring of leverage, drawdown and volatility
- Defined governance and oversight of model behaviour
Strategy overview
Risk considerations
- The strategy is implemented through CFDs. CFDs are leveraged derivatives and can involve significant risk, including losses that may exceed the initial margin.
- Foreign exchange and commodities markets can be volatile and subject to macroeconomic and geopolitical factors.
- Systematic models may underperform or fail to achieve the strategy's objective.
- Investors may lose part or all of their capital. Past performance is not a reliable indicator of future results.
Strategy overview
Liquidity & dealing
The strategy is designed as a liquid systematic strategy. Specific dealing and liquidity terms are set out in the offering documentation, available to eligible investors on request.
Strategy overview
Investor profile
- Professional and qualified investors seeking liquid, systematic alternative exposure
- Allocators diversifying beyond digital assets and traditional long-only holdings
- Family offices and institutions seeking model-driven FX and commodities strategies
Strategy overview
Investor documents
The following materials are reserved for eligible investors. Access requires registration, email verification and acceptance of the investor declaration.
Access Investor DocumentsInvestor Presentation
Strategy overview and key information
Available upon requestFactsheet
Latest product factsheet
Available upon requestProspectus
Official fund prospectus
Available upon requestRisk Disclosures
Product risk disclosure statements
Available upon requestDue Diligence Materials
Operational and investment due diligence pack
Available upon requestSubscription Documents
Investor onboarding documents
Available upon request
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