Our Approach

Systematic
Strategies

Quantitative Edge

Our investment programs are built on advanced mathematical and statistical methods that systematically identify opportunities across global markets.

We employ Hidden Markov Models and Gaussian Mixture Models to capture market regime dynamics, enabling our strategies to adapt to evolving conditions. Our approach combines the rigour of academic research with the practical demands of live trading.

Performance

By the Numbers

Key performance metrics from our flagship systematic strategy backtested over a 6-year period (Jan 2019 – Jan 2025). Past performance is not indicative of future results.

21.2%

CAGR

Compound Annual Growth Rate

0.9

Sharpe

Risk-Adjusted Return

1.0

Sortino

Downside Risk Ratio

22.6%

Max DD

Maximum Drawdown

Process

Our Methodology

01

Data Collection & Processing

We aggregate and process vast quantities of market data across multiple asset classes, time frames, and geographies. Our data pipeline ensures clean, reliable inputs for our models.

02

Statistical Modelling

Our core models employ Hidden Markov Models (HMM) and Gaussian Mixture Models (GMM) to identify market regimes and probabilistic state transitions. These methods allow us to adapt dynamically to changing market conditions.

03

Signal Generation & Execution

Signals generated by our models are translated into precise trading instructions. Our execution framework optimises for timing, cost, and market impact across equity, futures, and derivative markets.

04

Risk Management & Monitoring

Continuous real-time monitoring ensures portfolio risk remains within defined parameters. Drawdown controls, position limits, and correlation analysis form the backbone of our risk framework.

Coverage

Asset Classes

Equities

Global equity indices, individual stocks, and ETFs including SPY and sector-specific instruments.

Precious Metals

Gold futures (MGC), GLD ETF, and other precious metals instruments for portfolio diversification.

Derivatives

Options and futures strategies across multiple asset classes for hedging and alpha generation.

Multi-Asset

Dynamic allocation across equities, commodities, and fixed income based on regime-dependent signals.

Important Notice: The performance data presented on this page is derived from backtested results and does not represent actual trading performance. Backtested results are hypothetical and have inherent limitations. Past performance, whether actual or backtested, is not indicative of future results. All investments involve risk, including the possible loss of principal.