2 citations · 4 across the 2 of their papers we have counts for
2 papers
q-fin.ST2021★ 2 cited
On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning
Marco Ortu, Nicola Uras, Claudio Conversano +2
This work aims to analyse the predictability of price movements of cryptocurrencies on both hourly and daily data observed from January 2017 to January 2021, using deep learning al…
q-fin.ST2020★ 2 cited
Forecasting Bitcoin closing price series using linear regression and neural networks models
Nicola Uras, Lodovica Marchesi, Michele Marchesi +1
This paper studies how to forecast daily closing price series of Bitcoin, using data on prices and volumes of prior days. Bitcoin price behaviour is still largely unexplored, prese…