Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Yuanhong, Ye, Wei, Xu, Jingyan, Hsu, D. Frank |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
by: Siala, Walid, et al.
Published: (2026)
by: Siala, Walid, et al.
Published: (2026)
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)
by: Wang, Shengkun, et al.
Published: (2024)
A Model Fusion Approach for Enhancing Credit Approval Decision Making
by: Wu, Yuanhong, et al.
Published: (2026)
by: Wu, Yuanhong, et al.
Published: (2026)
Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
by: Peik, Arash, et al.
Published: (2025)
by: Peik, Arash, et al.
Published: (2025)
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
by: Zeng, Liang, et al.
Published: (2021)
by: Zeng, Liang, et al.
Published: (2021)
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
by: Zhao, Lifan, et al.
Published: (2023)
by: Zhao, Lifan, et al.
Published: (2023)
Deep Learning Models Meet Financial Data Modalities
by: Khubiev, Kasymkhan, et al.
Published: (2025)
by: Khubiev, Kasymkhan, et al.
Published: (2025)
DeepSupp: Attention-Driven Correlation Pattern Analysis for Dynamic Time Series Support and Resistance Levels Identification
by: Kriuk, Boris, et al.
Published: (2025)
by: Kriuk, Boris, et al.
Published: (2025)
ARTEMIS: A Neuro Symbolic Framework for Economically Constrained Market Dynamics
by: Ray, Rahul D
Published: (2026)
by: Ray, Rahul D
Published: (2026)
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction
by: Sepehri, Mohammad Shahab, et al.
Published: (2025)
by: Sepehri, Mohammad Shahab, et al.
Published: (2025)
Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach
by: Estornell, Andrew, et al.
Published: (2024)
by: Estornell, Andrew, et al.
Published: (2024)
Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting
by: Peik, Arash, et al.
Published: (2024)
by: Peik, Arash, et al.
Published: (2024)
Temporal distribution of clusters of investors and their application in prediction with expert advice
by: Wisniewski, Wojciech, et al.
Published: (2024)
by: Wisniewski, Wojciech, et al.
Published: (2024)
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
CTBench: Cryptocurrency Time Series Generation Benchmark
by: Ang, Yihao, et al.
Published: (2025)
by: Ang, Yihao, et al.
Published: (2025)
Forecasting of Bitcoin Prices Using Hashrate Features: Wavelet and Deep Stacking Approach
by: Mousa, Ramin, et al.
Published: (2025)
by: Mousa, Ramin, et al.
Published: (2025)
Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds
by: Kim, Minwu, et al.
Published: (2024)
by: Kim, Minwu, et al.
Published: (2024)
A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
by: Din, Riaz Ud, et al.
Published: (2024)
by: Din, Riaz Ud, et al.
Published: (2024)
Using Sentiment and Technical Analysis to Predict Bitcoin with Machine Learning
by: Carosia, Arthur Emanuel de Oliveira
Published: (2024)
by: Carosia, Arthur Emanuel de Oliveira
Published: (2024)
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
International Trade Flow Prediction with Bilateral Trade Provisions
by: Pan, Zijie, et al.
Published: (2024)
by: Pan, Zijie, et al.
Published: (2024)
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting
by: Thwal, Chu Myaet, et al.
Published: (2024)
by: Thwal, Chu Myaet, et al.
Published: (2024)
Instructor-inspired Machine Learning for Robust Molecular Property Prediction
by: Wu, Fang, et al.
Published: (2023)
by: Wu, Fang, et al.
Published: (2023)
Comparative Study of Bitcoin Price Prediction
by: Mohammadjafari, Ali
Published: (2024)
by: Mohammadjafari, Ali
Published: (2024)
CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
by: Cao, Yupeng, et al.
Published: (2024)
by: Cao, Yupeng, et al.
Published: (2024)
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)
by: Zhu, Peng, et al.
Published: (2024)
Vector-Quantized Discrete Latent Factors Meet Financial Priors: Dynamic Cross-Sectional Stock Ranking Prediction for Portfolio Construction
by: Kim, Namhyoung, et al.
Published: (2026)
by: Kim, Namhyoung, et al.
Published: (2026)
AI-BAAM: AI-Driven Bank Statement Analytics as Alternative Data for Malaysian MSME Credit Scoring
by: Ng, Chun Chet, et al.
Published: (2025)
by: Ng, Chun Chet, et al.
Published: (2025)
Multimodal Stock Price Prediction
by: Karadaş, Furkan, et al.
Published: (2025)
by: Karadaş, Furkan, et al.
Published: (2025)
Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture
by: Zhang, Linwei, et al.
Published: (2025)
by: Zhang, Linwei, et al.
Published: (2025)
Generalized Stock Price Prediction for Multiple Stocks Combined with News Fusion
by: Liao, Pei-Jun, et al.
Published: (2026)
by: Liao, Pei-Jun, et al.
Published: (2026)
Large and Deep Factor Models
by: Kelly, Bryan, et al.
Published: (2024)
by: Kelly, Bryan, et al.
Published: (2024)
Partial multivariate transformer as a tool for cryptocurrencies time series prediction
by: Tokajuk, Andrzej, et al.
Published: (2025)
by: Tokajuk, Andrzej, et al.
Published: (2025)
On Bitcoin Price Prediction
by: Bournassenko, Grégory
Published: (2025)
by: Bournassenko, Grégory
Published: (2025)
Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns
by: Zhu, Haoren, et al.
Published: (2024)
by: Zhu, Haoren, et al.
Published: (2024)
A Machine Learning Approach For Bitcoin Forecasting
by: Sossi-Rojas, Stefano, et al.
Published: (2025)
by: Sossi-Rojas, Stefano, et al.
Published: (2025)
Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction
by: Wickramasinghe, Sithumi, et al.
Published: (2025)
by: Wickramasinghe, Sithumi, et al.
Published: (2025)
Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis
by: Sonani, Meet Satishbhai, et al.
Published: (2025)
by: Sonani, Meet Satishbhai, et al.
Published: (2025)
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
by: Pei, Zhiyuan, et al.
Published: (2024)
by: Pei, Zhiyuan, et al.
Published: (2024)
MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
by: Wang, Mengyu, et al.
Published: (2024)
by: Wang, Mengyu, et al.
Published: (2024)
Similar Items
-
Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
by: Siala, Walid, et al.
Published: (2026) -
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024) -
A Model Fusion Approach for Enhancing Credit Approval Decision Making
by: Wu, Yuanhong, et al.
Published: (2026) -
Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
by: Peik, Arash, et al.
Published: (2025) -
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
by: Zeng, Liang, et al.
Published: (2021)