State of Art & Vision

Garry Kasparov against Deep Blue

Quantitative finance became a mature field once dedicated institutional infrastructures emerged bringing together capital, research, execution, and compliance into scalable operating models.

Since 2020, digital assets have been following a comparable path. Leading trading firms have extended their quantitative frameworks to crypto, but mostly through centralized exchanges or hybrid setups. Fully on-chain quantitative firms, however, are still largely absent.

Our own trajectory reflects this evolution. After a year acting as curators and asset managers, and delivering over +15% annualized returns, we eventually reached a clear conclusion: these returns were driven by sources of yield that cannot endure. Much of the performance available came from situations that were, by nature, temporary: over-exposed actors, outsized incentives, airdrop farming, and liquidity programs that vanish as markets mature.

To build something lasting, relying on such mechanisms is not enough.

Operating directly on blockchain infrastructure requires a completely different stack: execution shaped by MEV dynamics, transparent accounting, composable liquidity, and programmatic governance. Unlike discretionary allocators who position capital across DeFi protocols, an on-chain quantitative firm must design and operate autonomous, high-Sharpe systematic strategies, strategies that react in real time to the microstructure of decentralized markets.

Institutionalizing such entities marks the next step in algorithmic finance: firms built natively for blockchains, aiming for performance while enforcing verifiable and trustless execution.

Our ambition is to build, from the ground up, a fully on-chain quantitative institution from first principles — an architecture where every component of the value chain, from data acquisition to model execution, capital deployment, and reporting, operates transparently and autonomously on-chain.

In short, after proving what could be achieved through discretionary curation, we now seek to industrialize our approach and pursue yield that is scalable, sustainable, and high-Sharpe.