Investment Approach
Diversification, research and risk discipline
Our approach brings institutional rigour to digital assets and systematic markets. We combine manager selection and due diligence with quantitative research, AI and machine learning, and risk management embedded at every stage.
01 — Research
Research & idea generation
We continuously research managers, strategies and markets, applying quantitative analysis and AI and machine learning techniques within a disciplined framework.
02 — Due diligence
Selection & due diligence
Underlying managers undergo structured operational and investment due diligence covering process, risk controls, infrastructure and custody.
03 — Construction
Portfolio construction
Allocations and positions are sized with reference to correlation, liquidity and concentration limits to build balanced, diversified exposure.
04 — Risk
Risk management
Exposure, leverage, drawdown and liquidity are governed by defined limits and monitored continuously, with human oversight of systematic models.
Core capabilities
Fund selection & due diligence
Identifying and assessing specialist digital asset managers through a structured process.
Quantitative & systematic research
Developing and validating model-driven strategies across digital assets, FX and commodities.
AI & machine learning
Applying machine learning to signal development and validation within defined governance.
Risk management
Embedding exposure, concentration and liquidity discipline into every strategy.
AI & machine learning, used responsibly
We apply AI and machine learning as research tools within a defined risk and governance framework, with human oversight. These techniques inform signal development and model validation — they are not a substitute for risk management and never a guarantee of performance.
Discuss our approach
Speak with our investor relations team or explore our strategies in detail.