From prediction to profit: A comprehensive review of cryptocurrency trading strategies and price forecasting techniques

S Otabek, J Choi - IEEE Access, 2024 - ieeexplore.ieee.org
The rapid evolution of cryptocurrency markets and the increasing complexity of trading
strategies necessitate a comprehensive understanding of price-prediction models and their …

Bitcoin trading indicator: a machine learning driven real time bitcoin trading indicator for the crypto market

A Rahaman, AK Bitto, KBMB Biplob, MHI Bijoy… - Bulletin of Electrical …, 2023 - beei.org
As opposed to other fiat currencies, bitcoin has no relationship with banks. Its price
fluctuation is largely influenced by fresh blocks, news, mining information, support or …

[PDF][PDF] Prediction of Cryptocurrency Price using Time Series Data and Deep Learning Algorithms

M Nair, MI Marie, LA Abd-Elmegid - International Journal of …, 2023 - academia.edu
One of the most significant and extensively utilized cryptocurrencies is Bitcoin (BTC). It is
used in many different financial and business activities. Forecasting cryptocurrency prices …

Monthly exchange rate prediction based on artificial intelligence models and Iraqi Dinar against United States dollar

K Al-Daffaiea, MS AL-Musaylh… - AIP Conference …, 2024 - pubs.aip.org
The exchange rate, the value of a particular currency against another foreign currency, plays
an important role in local and international economics. It is crucial for countries' economies …

Estimation of realized volatility of cryptocurrencies using CEEMDAN-RF-LSTM

H Wang, Y Huang, Z Chen, X Yang, X Yi… - Future Generation …, 2024 - Elsevier
Predicting cryptocurrency volatility is crucial for investors, traders, and decision-makers but
is complicated by the market's high non-linearity, volatility, and noise. This paper presents a …

KGR-Rainfall: Temperature-Based Rainfall Prediction in Bangladesh with Novel KGR Stacking Ensemble

AK Bitto, MA Rubi, MHI Bijoy, SD Shuvo… - 2023 International …, 2023 - ieeexplore.ieee.org
Climate change factors such as wet or dry, cold or warm seasons have a significant impact
on both the economy and culture. Extreme rainfall events have historically posed a major …

[PDF][PDF] Tree-based Machine Learning and Deep Learning in Predicting Investor Intention to Public Private Partnership

A Amin, MFL Rahmawaty, S Masrom… - en. In: International …, 2023 - academia.edu
Public private partnership (PPP) is the government initiate in accelerating public
infrastructure development growth. However, the scheme exposes private sector to various …

Suicidal Ratio Prediction Among the Continent of World: A Machine Learning Approach

KBB Biplob, MHI Bijoy, AK Bitto, A Das… - 2023 International …, 2023 - ieeexplore.ieee.org
Suicide is a global health issue with significant negative effects. Individuals at risk of suicide
often avoid seeking help due to stigma or fear of forced treatment, and those with mental …

A Comprehensive Survey of Cryptocurrency Forecasting: Methods, Trends, and Challenges

M Yousaf, MTA Jabbar - Available at SSRN 5038453, 2024 - papers.ssrn.com
This comprehensive survey paper explores the diverse landscape of cryptocurrency
forecasting, tracing its evolution from an alternative to traditional monetary systems to its …

Optimizing Investment: Combining Deep Learning for Price Prediction and Moving Average for Return-Risk Analysis

W Hastomo, ASB Karno, M Masriyanda… - Jurnal Teknik …, 2022 - journal.unnes.ac.id
The ability to analyze predictions marks something going up or down, as well as the level of
possible risk taken into account by much-needed stock investors. In a study, this analysis of …