Denis Makarov

Denis Makarov is the founder of DQuant and a quantitative researcher working at the intersection of quantitative finance, machine learning, and software engineering.

His work explores quantitative methods and machine learning in finance through practical experiments, empirical research, and reproducible testing.

Denis is also a startup founder building the DQuant ecosystem, which includes DQuant Lab, a no-code platform for creating, backtesting, and validating trading strategies.

Projects

Research

Paper · 2026

Comparison of Volatility Forecasts from Machine Learning and Conditional Heteroskedasticity Models

7assets 5models 11years of data
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Writing

Contact

Denis is open to research collaborations, ideas in quantitative finance, and conversations about products at the intersection of finance and ML.