
Our
Process
Empowering Investors in a Hyper-Digital World
Discovery
and Assessment
We systematically monitor the market for emerging projects with perpetual futures contracts that align with our criteria for liquidity, volatility, and proprietary technical indicators to determine trading viability. We evaluate current data and asset suitability rigorously, ensuring no engagement occurs without sufficient historical trading datasets for informed analysis.
Due Diligence and
Selection
Upon meeting initial criteria, we deploy optimized parameters from our algorithm library or develop new models tailored to the asset. This process defines its characteristics, profit and drawdown profiles, and potential roles within our portfolios or those of our clients.
Matching with license holders
Our data-driven asset characterizations assist investors and market participants in exploring solutions that align with their needs. We offer explanatory support to clarify our offerings, their mechanics, and potential implications, empowering clients to build their own understanding for informed algorithm and asset selection.
Data-driven Optimization
We leverage a robust datastream to optimize parameters and continuously refine our active algorithms. This ongoing feedback loop ensures parameters remain relevant and statistically valid, adapting to evolving market conditions with precision. Additionally, this approach actively signals when significant shifts in asset profiles occur, prompting a reassessment or deactivation of algorithms to maintain performance integrity and align with current market realities.
Artificial Intelligence Machine Learning
We integrate advanced AI and machine learning technologies into our robust datastream to optimize parameters, drive the development of innovative algorithms, and enhance predictive pattern recognition. Combined with emerging ML infrastructure, this approach fosters forward-looking insights, ensuring new algorithm designs remain statistically robust and deliver a competitive market advantage.