Proven before novel
Prefer techniques that are well understood. Novel approaches should demonstrate clear value before adoption.
About
About Monolithify
Monolithify is a quantitative trading firm. We build machine-learning models that forecast short-horizon movement in US equities, and the technology that trades on them.
Monolithify trades its own capital. It does not manage outside money, take customer orders, or provide investment advice.
- Focus
- US equities
- Approach
- Quantitative, research-led
- Capital
- Proprietary
- Discipline
- Evidence before scale
Principles
Test as it would have traded
A result that depends on information unavailable at the time cannot be considered valid in practice.
Scale on evidence
Capital and infrastructure follow measured outcomes, never ambition without evidence.
Founder
Radostin Emanuilov is the founder of Monolithify. He works across both halves of the firm: the models that forecast how equities move, and the technology that trades on them. His view is that forecasting and execution are one engineering problem, and that the discipline around a result matters more than the sophistication of the model that produced it.
Radostin Emanuilov on LinkedInContact Monolithify
Contact Monolithify about research, data, engineering, or general enquiries related to the firm.
Reach us at hi [at] monolithify.com or visit monolithify.com.