As a crypto-native Quantitative Trader, I deliver a spectrum of fully-automated strategies tailored to a diverse set of risk profiles. My approach is rooted in rigorous data analytics, mathematical precision, and statistical modelling, decoding the complexities of the Digital Asset market. By uncovering hidden patterns and inefficiencies in this evolving ecosystem, innovation is turned into consistent, market-beating performance.
Deep understanding of the Digital Asset ecosystem
All strategies are fully-automated, trading 24/7, and eliminating human decision making
Excellent risk-adjusted returns
Regime Adaptive Momentum (RAM)
This strategy provides targeted exposure to the overall growth of the Digital Asset ecosystem. It capitalizes on up-trending market conditions while executing timely exits to mitigate risk when market saturation is detected.
Risk Profile: Aggressive
Clustered Statistical Arbitrage (CSA)
Digital Assets often display significant interdependencies, resulting in highly correlated price movements. This strategy leverages advanced Statistics and Clustering to identify and capitalize on short-term price inefficiencies.
Risk Profile: Moderate
Strategic Liquidity Provisioning (SLP)
There are periods when speculative forces dominate price movements, driving up the cost of liquidity eventually. During such times, opportunities arise to effectively capitalize on these market dynamics by providing short-term liquidity.
Risk Profile: Conservative