Novel Perspectives on Using Digitization Techniques to Model Financial Time-Series: Data from the Market for Cryptocurrencies

The global financial landscape has witnessed a paradigm shift with the emergence of cryptocurrencies, introducing novel challenges and opportunities for financial analysts. This research explores ground-breaking perspectives on applying digitization techniques to model economic time series within cryptocurrency markets. The study employs a mixed-methods approach, leveraging historical price data and advanced machine-learning algorithms to analyse and compare traditional and digitized models. Preliminary findings suggest that digitization techniques hold promise in enhancing predictive accuracy, especially in capturing the dynamic nature of cryptocurrency price movements. This paper contributes to the evolving discourse on financial modelling by shedding light on the potential benefits of digitization in cryptocurrency.