A research collective that deploys its own capital.
Vaquum builds and maintains an auditable, verifiable research and trading system, and trades with the firm's own capital. Open source is a first principle.
Closed-source trading systems are a structural contradiction to Bitcoin, a financial system built to eliminate counterparty risk. Maintaining the research and trading system as open source proves that the alpha does not live in the algorithms; it lives in the research and the thesis.
Paper-trade results ship together with a proof bundle (available Q3/26). The bundle allows anyone to run the exact same research, strategy composition, and trade execution.
The Vaquum module ecosystem is the third parametric closed-loop system the firm has built. Limen, the research engine, evolved from Talos — a hyperparameter optimization framework for Keras and TensorFlow. Talos is cited in more than 1,000 scientific papers and carried zero breaking bugs in six years.
We will never ask you to trust. We ask you to verify.
Team
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Mikko Kotila
CEO
AI research and development since 2001. Core developer of Talos, hyperparameter optimization for TensorFlow and Keras. Bitcoin community since 2009. More than 30 years in software engineering.
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Arun Raguraman
CSO
Built and operated a live index-options trading system from research through broker execution. MSc Mathematics. 25 years in software engineering.
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Wen Wang
COO
Founded and scaled a synthetic-biology startup to 30 employees and multiple products to market. MSc Software Engineering. 20 years in business development.
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Prasenjit Dey
Lead Data Engineer
Designed core algorithms for a production streaming-analytics platform at Instart Logic. MSc Mathematics. 25 years in software engineering.
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Jatin Thakur
Software Engineer
API infrastructure and backend services. Built a trading platform still in active use.
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Matti Pärssinen
Executive Advisor
More than 20 years in corporate leadership. Doctorate, MBA, and Docent at Aalto University.
Three paradigm shifts converge.
Vaquum is built around three shifts — in how Bitcoin is understood, in how humans and machines collaborate, and in how complex systems evolve — converging into a single architectural opportunity.
From data mining to ontology mining
Bitcoin is simultaneously a computer network, a monetary protocol, a global liquidity venue, and a social coordination system. Tooling that models only the price series ignores the machinery that produces the price. Ontology-native modelling starts from what Bitcoin is.
Human thesis, machine precision
Humans define the thesis, select the levers, and set the boundaries. Machines search the space of possibilities, generate comparable measurements, and execute with precision. When error is measured in capital, opacity is a liability.
The parametric closed loop
When everything is a parameter, the system becomes explorable, traceable, and accountable. Every prior state remains accessible, and every configuration maps to measured outcomes.
Every configuration testable. Every state traceable.
Read the documentation, audit the code, run the research, and judge the results.