Cryptocurrency Liquidity Forecasting
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Cryptocurrency Liquidity Forecasting
Forecasting crypto liquidity
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- 0 Rating
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- 0 Students Enrolled
Requirements
- ML, statistics of financial markets
General Overview
Description
This paper describes an algorithm that attempts to predict the liquidity for a four-hour period using previous transaction data, return data, sentiment and macroeconomic data.
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Meet the instructors !
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About the Instructor
Daniel Traian Pele is a Prof. dr. Department of Statistics and Econometrics Faculty of Cybernetics, Statistics and Economic Informatics, The Bucharest University of Economic Studies. https://scholar.google.com/citations?user=tN32HYcAAAAJ&hl=en