Cover Image

Enhancing Cryptocurrency Market Forecasting: Advanced Machine Learning Techniques and Industrial Engineering Contributions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pinky, Jannatun Nayeem, Akula, Ramya
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Advancing GDP Forecasting: The Potential of Machine Learning Techniques in Economic Predictions
by: Oancea, Bogdan
Published: (2025)

DecoKAN: Interpretable Decomposition for Forecasting Cryptocurrency Market Dynamics
by: Gao, Yuan, et al.
Published: (2025)

Cryptocurrency Price Forecasting Using Machine Learning: Building Intelligent Financial Prediction Models
by: Islam, Md Zahidul, et al.
Published: (2025)

A Hybrid Machine Learning Framework for Systematic Trading in Cryptocurrency and FX Markets
by: Izzuddin, Muchammad Fikri
Published: (2025)

Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets
by: Rahat, Md. Yeasin, et al.
Published: (2025)

Enhancing Project Performance Forecasting using Machine Learning Techniques
by: Sadeghi, Soheila
Published: (2024)

CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators
by: Kumar, Amit, et al.
Published: (2025)

Forecasting Cryptocurrency Staking Rewards
by: Gupta, Sauren, et al.
Published: (2024)

Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators
by: Hafid, Abdelatif, et al.
Published: (2024)

Advancing Eurasia Fire Understanding Through Machine Learning Techniques
by: Kriuk, Boris
Published: (2025)

Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts
by: Dudek, Grzegorz, et al.
Published: (2025)

Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques
by: Ashrafi, Negin, et al.
Published: (2024)

Enhancing Bankruptcy Prediction of Banks through Advanced Machine Learning Techniques: An Innovative Approach and Analysis
by: Rustam, Zuherman, et al.
Published: (2025)

From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting
by: Demosthenous, Giorgos, et al.
Published: (2025)

Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data
by: Gurgul, Vincent, et al.
Published: (2023)

Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques
by: Mortezanejad, Seyedeh Azadeh Fallah, et al.
Published: (2025)

Hierarchical Persistence Velocity for Network Anomaly Detection: Theory and Applications to Cryptocurrency Markets
by: Khormali, Omid
Published: (2025)

Advances in Machine Learning: Where Can Quantum Techniques Help?
by: Kashyap, Samarth, et al.
Published: (2025)

Enhancing Retail Sales Forecasting with Optimized Machine Learning Models
by: Ganguly, Priyam, et al.
Published: (2024)

Advancing Thermodynamic Group-Contribution Methods by Machine Learning: UNIFAC 2.0
by: Hayer, Nicolas, et al.
Published: (2024)

Comparative Analysis on Snowmelt-Driven Streamflow Forecasting Using Machine Learning Techniques
by: Thapa, Ukesh, et al.
Published: (2024)

Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting
by: Puoti, Francesco, et al.
Published: (2025)

Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
by: Behboudi, Noushin, et al.
Published: (2024)

Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
by: Smyl, Slawek, et al.
Published: (2025)

Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniques
by: Razmara, Parsa, et al.
Published: (2024)

Enhancing Strawberry Yield Forecasting with Backcasted IoT Sensor Data and Machine Learning
by: Ayall, Tewodros Alemu, et al.
Published: (2025)

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models
by: Maneshni, Aurausp
Published: (2025)

Probabilistic Prediction Markets with Intermittent Contributions
by: Vitali, Michael, et al.
Published: (2025)

FinBERT-BiLSTM: A Deep Learning Model for Predicting Volatile Cryptocurrency Market Prices Using Market Sentiment Dynamics
by: Hossain, Mabsur Fatin Bin, et al.
Published: (2024)

Privacy Preserving Machine Learning for Distributed IoT Security Systems
by: Sri Ramya Deevi
Published: (2022)

CRISIS ALERT:Forecasting Stock Market Crisis Events Using Machine Learning Methods
by: Chen, Yue, et al.
Published: (2024)

Big Data$\unicode{x2013}$Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
by: Jahin, Md Abrar, et al.
Published: (2023)

Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock
by: Huang, Dengxin
Published: (2023)

Macroeconomic Forecasting and Machine Learning
by: Chi, Ta-Chung, et al.
Published: (2025)

Optimizing Fire Safety: Reducing False Alarms Using Advanced Machine Learning Techniques
by: Jamal, Muhammad Hassan, et al.
Published: (2025)

Machine Learning and Deep Learning Models for Short Term Electricity Price Forecasting in Australia's National Electricity Market
by: Lu, Wei, et al.
Published: (2026)

Operationalization of Machine Learning with Serverless Architecture: An Industrial Operationalization of Machine Learning with Serverless Architecture: An Industrial Implementation for Harmonized System Code Prediction
by: Kandappareddigari, Sai Vineeth, et al.
Published: (2026)

Improving Musical Instrument Classification with Advanced Machine Learning Techniques
by: Chulev, Joanikij
Published: (2024)

Client Contribution Normalization for Enhanced Federated Learning
by: Kundalwal, Mayank Kumar, et al.
Published: (2024)

A Framework for Empowering Reinforcement Learning Agents with Causal Analysis: Enhancing Automated Cryptocurrency Trading
by: Amirzadeh, Rasoul, et al.
Published: (2023)