Polycystic ovary syndrome (PCOS) is the most frequent endocrinological anomaly in
reproductive women that causes persistent hormonal secretion disruption, leading to the …

Sentiment analysis is the process of recognizing positive or negative attitudes in text. This
technique makes use of computational linguistics, text analysis, and natural language …

Purpose Owing to highly volatile and chaotic external events, predicting future movements of
cryptocurrencies is a challenging task. This paper advances a granular hybrid predictive …

Using the Bollinger Bands trading strategy (BBTS), investors are advised to buy (and then
sell) Bitcoin and Ethereum spot prices in response to BBTS's oversold (overbought) signals …

This paper identifies hidden patterns between trading volumes and the market value of an
asset. Based on open market data, we try to improve the existing corpus of research using …

Abstract Since Satoshi Nakamoto first proposed the idea of bitcoin in 2009, the
cryptocurrency and prediction methods for it have grown and changed exceptionally quickly …

Bitcoin, being one of the most triumphant cryptocurrencies, is gaining increasing popularity
online and is being used in a variety of transactions. Recently, research on Bitcoin price …

Abstract The Consumer Financial Protection Bureau (CFPB) is a government body
responsible for safeguarding consumers from financial fraud and abuse. Managing …

This study investigates the volatility of cryptocurrencies during the uncertainty created by
COVID-19 and the Chicago Board Options Exchange Volatility Index (VIX). Hence, the …

TRON is a decentralized digital platform that provides a reliable way to transact in
cryptocurrencies within a decentralized ecosystem. Thanks to its success, TRON's native …