Denis Makarov
Denis Makarov is a software developer focused on backend development, algorithmic trading systems, and financial software.
His primary areas of expertise include Python, backend development, and MQL4/MQL5. He develops trading robots, automated trading systems, and applications for financial data analysis and strategy backtesting.
He is the founder and lead developer of DQuant, an open-source project focused on quantitative finance, financial data analysis, and algorithmic trading tools.
His work also includes machine learning and financial time-series forecasting. He has developed an open-source Python library for volatility forecasting using XGBoost and LightGBM and conducted an independent research project comparing machine-learning models with GARCH-family models.
His projects include DQuant Lab, a platform for creating, testing, and validating trading strategies.
Projects
DQuant
An open-source project for quantitative finance, financial data analysis, and algorithmic trading tools.
DQuant Lab
A platform for creating, testing, and validating trading strategies.
DQuant Python Library
An open-source library for automated volatility forecasting with XGBoost and LightGBM.
Research
Comparison of Volatility Forecasts from Machine Learning and Conditional Heteroskedasticity Models
Contact
Denis is interested in software engineering, fintech, and financial technology, with a particular focus on backend development, Python, and algorithmic trading systems.