Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey

AM Khedr, I Arif, M El‐Bannany… - Intelligent Systems in …, 2021 - Wiley Online Library
Cryptocurrencies are decentralized electronic counterparts of government‐issued money.
The first and best‐known cryptocurrency example is bitcoin. Cryptocurrencies are used to …

A gated recurrent unit approach to bitcoin price prediction

A Dutta, S Kumar, M Basu - Journal of risk and financial management, 2020 - mdpi.com
In today's era of big data, deep learning and artificial intelligence have formed the backbone
for cryptocurrency portfolio optimization. Researchers have investigated various state of the …

Anticipating cryptocurrency prices using machine learning

L Alessandretti, A ElBahrawy, LM Aiello… - …, 2018 - Wiley Online Library
Machine learning and AI‐assisted trading have attracted growing interest for the past few
years. Here, we use this approach to test the hypothesis that the inefficiency of the …

Sentiment-based prediction of alternative cryptocurrency price fluctuations using gradient boosting tree model

TR Li, AS Chamrajnagar, XR Fong, NR Rizik… - Frontiers in …, 2019 - frontiersin.org
In this paper, we analyze Twitter signals as a medium for user sentiment to predict the price
fluctuations of a small-cap alternative cryptocurrency called ZClassic. We extracted tweets …

Forecasting cryptocurrency prices using recurrent neural network and long short-term memory

I Nasirtafreshi - Data & Knowledge Engineering, 2022 - Elsevier
The rapid development of cryptocurrencies over the past decade is one of the most
controversial and ambiguous innovations in the modern global economy. Numerous and …

Time series analysis of cryptocurrency returns and volatilities

RK Malladi, PL Dheeriya - Journal of Economics and Finance, 2021 - Springer
There is a significant interest in the growth and development of cryptocurrencies, the most
notable ones being Bitcoin and Ripple. Global trading in these cryptocurrencies has led to …

Crypto-currency price prediction using decision tree and regression techniques

K Rathan, SV Sai, TS Manikanta - 2019 3rd International …, 2019 - ieeexplore.ieee.org
Crypto-currency such as Bitcoin is more popular these days among investors. In the
proposed work, it is studied to forecast the Bitcoin price precisely considering different …

Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data

E Loginova, WK Tsang, G van Heijningen… - Machine Learning, 2024 - Springer
The emergence of cryptocurrency markets has drastically changed how online transactions
are conducted and provide a new investment opportunity. This study contributes to the …

[HTML][HTML] Analysis of the Bitcoin blockchain: socio-economic factors behind the adoption

F Parino, MG Beiró, L Gauvin - EPJ Data Science, 2018 - epjdatascience.springeropen.com
As the first decentralized digital currency introduced in 2009 together with the blockchain,
Bitcoin offers new opportunities both for developed and develo** countries. Bitcoin peer …

Novel insights into the modeling financial time-series through machine learning methods: Evidence from the cryptocurrency market

M Khosravi, MM Ghazani - Expert Systems with Applications, 2023 - Elsevier
This study proposes a novel approach for modeling financial time series, concentrating on
data pre-processing and selecting effective features in conventional and proposed modeling …