N-BEATS perceiver: a novel approach for robust cryptocurrency portfolio forecasting

A Sbrana, PA Lima de Castro - Computational Economics, 2024 - Springer
In this paper, we propose a novel approach for forecasting cryptocurrency portfolios,
harnessing modified versions of the N-BEATS deep learning architecture, integrated with …

Revolutionize AI trading bots with AutoML-based multi-timeframe bitcoin price prediction

SS Khurana, P Singh, NK Garg - SN Computer Science, 2023 - Springer
Multi-timeframe analysis/prediction provides essential information to traders. It gives a
broader perspective of market trends and is used to identify significant levels of support and …

[PDF][PDF] Bitcoin price prediction using LSTM, GRU and hybrid LSTM-GRU with bayesian optimization, random search, and grid search for the next days

IS Kervanci, MF Akay, E Özceylan - Journal of Industrial and …, 2024 - academia.edu
Bitcoin has high price fluctuations, which involve high risks and high return rates for
investors. These high earnings have attracted the attention of investors. This paper proposes …

Sell or HODL Cryptos: Cryptocurrency Short-to-Long Term Projection Using Simultaneous Classification-Regression Deep Learning Framework

M Iqbal, A Iqbal, A Alshammari, I Ali, LA Maghrabi… - IEEE …, 2024 - ieeexplore.ieee.org
Decentralized cryptocurrencies like Bitcoin are digital assets with a price volatility nature,
that allow for blockchain-based, peer-to-peer monetary transactions. Due to the price …

Hybrid metaheuristic algorithm methods and econometric models in prediction of dogecoin price

MS Farahani, S Babaei, ZS Kharazan, A Bai… - Journal of Modelling in …, 2024 - emerald.com
Hybrid metaheuristic algorithm methods and econometric models in prediction of dogecoin
price | Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish …

Deep Learning with Attention Mechanism for Cryptocurrency Price Forecasting

V Yazhini, M Nimal Madhu, B Premjith… - International Conference …, 2023 - Springer
Cryptocurrencies are a hot topic in recent years. This study aims to predict the future closing
price of Bitcoin and Ethereum using different combinations of Long Short-Term Memory …

Real-time Data Extraction and Prediction of Cryptocurrency

S Chavan, J Gundakaram, SD Vaishnavi… - IEEE …, 2024 - ieeexplore.ieee.org
Cryptocurrency markets exhibit high volatility, necessitating accurate forecasting methods for
effective decision-making. This paper presents an innovative approach that integrates web …

[PDF][PDF] Trustworthy Artificial Intelligence for Blockchain-based Cryptocurrency

T Zhan - Proceedings of the 8th International Conference on …, 2022 - csitcp.org
Blockchain-based cryptocurrency has attracted the immersive attention of individuals and
businesses. With distributed ledger technology (DLT) consisting of growing list of record …

Predicting How Macroeconomic Factors Can Impact the Housing Market in Portugal Using Machine Learning Techniques

AJN da Fonseca - 2024 - search.proquest.com
Background: The Portuguese Housing Market has been growing in the last few years as
OECD studies mention. However, there has been a lack of scientific research addressing …

Previsão de evolução de criptomoedas

MFPA Machado - 2024 - recipp.ipp.pt
O mercado das criptomoedas é atualmente uma das áreas de maior interesse de
investimento, atraindo investidores desde os mais experientes até aos mais casuais, e …