Saved in:
| Main Authors: | Anguiano, José Ángel Islas, García-Medina, Andrés |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.00665 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)
by: Wu, Yuanhong, et al.
Published: (2026)
A Machine Learning Approach For Bitcoin Forecasting
by: Sossi-Rojas, Stefano, et al.
Published: (2025)
by: Sossi-Rojas, Stefano, et al.
Published: (2025)
Topological Analysis of Mixer Activities in the Bitcoin Network
by: Zola, Francesco, et al.
Published: (2025)
by: Zola, Francesco, et al.
Published: (2025)
An empirical study of market risk factors for Bitcoin
by: Singh, Shubham
Published: (2024)
by: Singh, Shubham
Published: (2024)
Denoising Complex Covariance Matrices with Hybrid ResNet and Random Matrix Theory: Cryptocurrency Portfolio Applications
by: Garcia-Medina, Andres
Published: (2025)
by: Garcia-Medina, Andres
Published: (2025)
Machine Learning-Based Bitcoin Trading Under Transaction Costs: Evidence From Walk-Forward Forecasting
by: Bysik, Andrei, et al.
Published: (2026)
by: Bysik, Andrei, et al.
Published: (2026)
High-dimensional covariance matrix estimators on simulated portfolios with complex structures
by: García-Medina, Andrés
Published: (2024)
by: García-Medina, Andrés
Published: (2024)
Deciphering Bitcoin Blockchain Data by Cohort Analysis
by: Liu, Yulin, et al.
Published: (2021)
by: Liu, Yulin, et al.
Published: (2021)
Mapping network structures and dynamics of decentralised cryptocurrencies: The evolution of Bitcoin (2009-2023)
by: Venturini, Marco, et al.
Published: (2025)
by: Venturini, Marco, et al.
Published: (2025)
Bitcoin Price Prediction: Peer-Reviewed Evidence and Social Media Discourse
by: Baquero, Carlos
Published: (2026)
by: Baquero, Carlos
Published: (2026)
Generating Alpha: A Hybrid AI-Driven Trading System Integrating Technical Analysis, Machine Learning and Financial Sentiment for Regime-Adaptive Equity Strategies
by: Pillai, Varun Narayan Kannan, et al.
Published: (2026)
by: Pillai, Varun Narayan Kannan, et al.
Published: (2026)
Reasoning on Time-Series for Financial Technical Analysis
by: Koa, Kelvin J. L., et al.
Published: (2025)
by: Koa, Kelvin J. L., et al.
Published: (2025)
A comparative study of Bitcoin and Ripple cryptocurrencies trading using Deep Reinforcement Learning algorithms
by: Fangnon, Dieu-Donne, et al.
Published: (2025)
by: Fangnon, Dieu-Donne, et al.
Published: (2025)
Factors Influencing Cryptocurrency Prices: Evidence from Bitcoin, Ethereum, Dash, Litecoin, and Monero
by: Sovbetov, Yhlas
Published: (2025)
by: Sovbetov, Yhlas
Published: (2025)
Boosting Bitcoin Minute Trend Prediction Using the Separation Index
by: Shahsafdari, Zeinab, et al.
Published: (2024)
by: Shahsafdari, Zeinab, et al.
Published: (2024)
Auditing Asset-Specific Preferences in Financial Large Language Models: Evidence from Bitcoin Representations and Portfolio Allocation
by: Wu, Wenbin
Published: (2026)
by: Wu, Wenbin
Published: (2026)
Bitcoin Gold, Litecoin Silver:An Introduction to Cryptocurrency's Valuation and Trading Strategy
by: Yu, Haoyang, et al.
Published: (2023)
by: Yu, Haoyang, et al.
Published: (2023)
Machine Learning Methods for Pricing Financial Derivatives
by: Fan, Lei, et al.
Published: (2024)
by: Fan, Lei, et al.
Published: (2024)
An Adaptive Multi Agent Bitcoin Trading System
by: Singhi, Aadi
Published: (2025)
by: Singhi, Aadi
Published: (2025)
PreBit -- A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin
by: Zou, Yanzhao, et al.
Published: (2022)
by: Zou, Yanzhao, et al.
Published: (2022)
Forecasting Intraday Volume in Equity Markets with Machine Learning
by: Cucuringu, Mihai, et al.
Published: (2025)
by: Cucuringu, Mihai, et al.
Published: (2025)
The Impact of Bitcoin ETF Approval on Bitcoin's Hedging Properties Against Traditional Assets
by: Hong, Yihan, et al.
Published: (2025)
by: Hong, Yihan, et al.
Published: (2025)
Echo State Networks for Bitcoin Time Series Prediction
by: Sharma, Mansi, et al.
Published: (2025)
by: Sharma, Mansi, et al.
Published: (2025)
Bitcoin versus S&P 500 Index: Return and Risk Analysis
by: Nzokem, A. H.
Published: (2023)
by: Nzokem, A. H.
Published: (2023)
Deep Learning Models Meet Financial Data Modalities
by: Khubiev, Kasymkhan, et al.
Published: (2025)
by: Khubiev, Kasymkhan, et al.
Published: (2025)
Bitcoin's Edge: Embedded Sentiment in Blockchain Transactional Data
by: Kleitsikas, Charalampos, et al.
Published: (2025)
by: Kleitsikas, Charalampos, et al.
Published: (2025)
HARd to Beat: The Overlooked Impact of Rolling Windows in the Era of Machine Learning
by: Audrino, Francesco, et al.
Published: (2024)
by: Audrino, Francesco, et al.
Published: (2024)
Mathematics of Differential Machine Learning in Derivative Pricing and Hedging
by: Gomes, Pedro Duarte
Published: (2024)
by: Gomes, Pedro Duarte
Published: (2024)
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)
When Crypto Economics Meet Graph Analytics and Learning
by: Luo, Bingqiao
Published: (2024)
by: Luo, Bingqiao
Published: (2024)
On Bitcoin Price Prediction
by: Bournassenko, Grégory
Published: (2025)
by: Bournassenko, Grégory
Published: (2025)
Expected Revenue, Risk, and Grid Impact of Bitcoin Mining: A Decision-Theoretic Perspective
by: Cai, Yuting, et al.
Published: (2025)
by: Cai, Yuting, et al.
Published: (2025)
Fast Learning in Quantitative Finance with Extreme Learning Machine
by: Cheng, Liexin, et al.
Published: (2025)
by: Cheng, Liexin, 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)
FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report
by: Cardaioli, Matteo, et al.
Published: (2025)
by: Cardaioli, Matteo, et al.
Published: (2025)
Cryptocurrencies in the Balance Sheet: Insights from (Micro)Strategy -- Bitcoin Interactions
by: Aufiero, Sabrina, et al.
Published: (2025)
by: Aufiero, Sabrina, et al.
Published: (2025)
Tokenized but Illiquid? Evidence from Real-World Asset Markets
by: Mafrur, Rischan
Published: (2026)
by: Mafrur, Rischan
Published: (2026)
Determining the number of factors in a forecast model by a random matrix test: cryptocurrencies
by: Medina, Andrés García, et al.
Published: (2019)
by: Medina, Andrés García, et al.
Published: (2019)
The Cost of a Free Lunch: Evidence from U.S. Derivatives Markets
by: Shin, Useong
Published: (2026)
by: Shin, Useong
Published: (2026)
Similar Items
-
Using Sentiment and Technical Analysis to Predict Bitcoin with Machine Learning
by: Carosia, Arthur Emanuel de Oliveira
Published: (2024) -
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026) -
A Machine Learning Approach For Bitcoin Forecasting
by: Sossi-Rojas, Stefano, et al.
Published: (2025) -
Topological Analysis of Mixer Activities in the Bitcoin Network
by: Zola, Francesco, et al.
Published: (2025) -
An empirical study of market risk factors for Bitcoin
by: Singh, Shubham
Published: (2024)