Research work · 2024
INTELLIGENT TIME SERIES DATA ANALYSIS OF CRYPTOCURRENCY MARKET DYNAMICS BASED ON OHLCV DATASET AND MOMENTUM TECHNICAL INDICATORS
Illia Uzun, Mykhaylo Lobachev
ELECTRICAL AND COMPUTER SYSTEMS
Abstract
Abstract. This article presents an analysis of the historical dynamics of the cryptocurrency market based on time series data using the OHLCV dataset. The study presents the results of calculations of the main cryptocurrency market momentum technical indicators. Using intelligent computational methods, the paper assesses patterns and trends in the data of major cryptocurrencies. The study emphasizes the importance of technical analysis in understanding the volatile landscape of digital currencies. Key words: time-series, data analysis, cryptocurrency market, momentum indicators, technical analysis indicators, OHLCV.