Allocation Engine

Markov approaches curation in DeFi similarly to how traditional asset managers approach portfolio management. Our process is built around a rigorous, research-driven framework: we design models through quantitative research, implement them through systematic execution, and continuously evaluate performance relative to industry benchmarks.

At the core of this process is our allocation engine, the systematic framework used to determine how capital is distributed across credit markets. Portfolio allocations are derived from models developed through quantitative modeling, empirical testing, and large-scale simulations.

The core of the allocation engine is as follows:

• Model Determination: Build and validate quantitative models to identify how yield is generated across markets and determine optimal portfolio allocations.

• Systematic Allocator: Execute model-driven allocations in real time, rebalancing capital efficiently based on market conditions and predefined constraints.

• Research Phases: Develop strategies in stages, starting with controlled deployment and scaling over time as models are validated and refined.