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Bitcoin Forecasting Lab is an independent research initiative focused on the quantitative analysis and statistical forecasting of the Bitcoin market.
The project combines academic research with practical quantitative market analysis. Its primary objective is to develop, evaluate, and publicly document statistical models for forecasting Bitcoin’s weekly closing price, as well as quantitative methodologies for long-term annual Bitcoin price forecasts.
Our research includes peer-reviewed publications, mathematical modeling, and the long-term statistical evaluation of forecasting performance. Alongside academic research, the project publishes weekly model outputs together with historical performance statistics, allowing results to be verified transparently over time.
Andrey Ignatenko
Quantitative analyst specializing in cryptocurrency markets and algorithmic forecasting.
Co-author of the peer-reviewed Bitcoin’s Weekly Closing Price Forecasting Model. Author of books on Bitcoin forecasting and Bitcoin-related fiction. Has been active in foreign exchange trading since 2015 and quantitative cryptocurrency trading since 2019. Read more
Larysa Dokiienko
PhD in Economics, Associate Professor, and university researcher with more than 25 years of experience in finance.
Co-author of the peer-reviewed Bitcoin’s Weekly Closing Price Forecasting Model, as well as the author of academic books and numerous scientific publications. Read more
Ihor Yaskal
PhD in Economics and Associate Professor with 18 years of university teaching experience.
Author and co-author of more than 30 scientific publications in national and international academic journals. Has actively contributed to strengthening the university’s international cooperation and academic partnerships. Read more
