This paper applies deep learning models to predict Bitcoin price directions and the
subsequent profitability of trading strategies based on these predictions. The study …

This paper explores the application of Machine Learning (ML) and Natural Language
Processing (NLP) techniques in cryptocurrency price forecasting, specifically Bitcoin (BTC) …

In light of the existing challenges in capturing short-term fluctuations and achieving accurate
predictions in stock market time series data, this research presents the “Dual-Attention …

Despite their recent inception, cryptocurrencies have become globally recognized for their
dispersal, diversity, and high market capitalization. This volatility developed into a challenge …

Cryptocurrency market sentiment is relatively unstable, which makes cryptocurrency price an
attribute of high volatility. Accurate forecasting methods help to clarify the volatility trend of …

The proposed work explores the significance of Bitcoin in today's financial landscape and its
role as a decentralized store of value and hedge against economic uncertainty. The diverse …

Altcoins are alternative types of coins under cryptocurrency, apart from traditional Bitcoins,
for which predicting the price movement presents a multifaceted challenge deeply rooted in …

Cryptocurrency as an alternative method of payment that acts both as a type of currency and
as a virtual accounting system has always been of interest to investors. Since the public …

Bitcoin's daily value fluctuations are very dynamic. Understanding its rapid and intricate
price movements demands advanced techniques for processing complex data. This …

There are over 10,000 listed cryptocurrencies, with bitcoin becoming the most used
cryptocurrency at present. This research's aim is to establish the different dynamic time …