Cover Image

Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	De Rosa, Pasquale, Felber, Pascal, Schiavoni, Valerio
Format:	Preprint
Published:	2024
Subjects:	Computational Engineering, Finance, and Science Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CryptoAnalytics: Cryptocoins Price Forecasting with Machine Learning Techniques
by: De Rosa, Pasquale, et al.
Published: (2024)

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
by: Hu, Yifan, 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)

A Machine Learning Approach For Bitcoin Forecasting
by: Sossi-Rojas, Stefano, et al.
Published: (2025)

Counterfactual Forecasting of Human Behavior using Generative AI and Causal Graphs
by: Uddandarao, Dharmateja Priyadarshi, et al.
Published: (2025)

Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting
by: Peik, Arash, et al.
Published: (2024)

ResNLS: An Improved Model for Stock Price Forecasting
by: Jia, Yuanzhe, et al.
Published: (2023)

A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
by: Din, Riaz Ud, et al.
Published: (2024)

Semantic-Enhanced Time-Series Forecasting via Large Language Models
by: Liu, Hao, et al.
Published: (2025)

PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting
by: Zhou, Guanglei, et al.
Published: (2024)

Learning Satellite Pattern-of-Life Identification: A Diffusion-based Approach
by: Ye, Yongchao, et al.
Published: (2024)

Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting
by: Immordino, Gabriele, et al.
Published: (2024)

Storm Surge in Color: RGB-Encoded Physics-Aware Deep Learning for Storm Surge Forecasting
by: Zhao, Jinpai, et al.
Published: (2025)

Forecasting VIX using interpretable Kolmogorov-Arnold networks
by: Cho, So-Yoon, et al.
Published: (2025)

Financial Assets Dependency Prediction Utilizing Spatiotemporal Patterns
by: Zhu, Haoren, et al.
Published: (2024)

Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)

Automated Flow Pattern Classification in Multi-phase Systems Using AI and Capacitance Sensing Techniques
by: Ran, Nian, et al.
Published: (2025)

Scale-Equivariant Generative Forecasting: Weight-Tied Dilated Convolutions, Wavelet Scattering Inputs, and Spectral-Consistency Training for Self-Similar Time Series
by: Morandi, Andrea
Published: (2026)

Synthetic Pattern Generation and Detection of Financial Activities using Graph Autoencoders
by: Zola, Francesco, et al.
Published: (2026)

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
by: Zhao, Lifan, et al.
Published: (2023)

DAM: A Universal Dual Attention Mechanism for Multimodal Timeseries Cryptocurrency Trend Forecasting
by: Fu, Yihang, et al.
Published: (2024)

Bubbleformer: Forecasting Boiling with Transformers
by: Hassan, Sheikh Md Shakeel, et al.
Published: (2025)

Predicting the fatigue life of asphalt concrete using neural networks
by: Houlík, Jakub, et al.
Published: (2024)

Aerodynamic force reconstruction using physics-informed Gaussian processes
by: Tondo, Gledson Rodrigo, et al.
Published: (2026)

High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring
by: Maathuis, Hauke, et al.
Published: (2023)

Real-Time Online Stock Forecasting Utilizing Integrated Quantitative and Qualitative Analysis
by: Bathini, Sai Akash, et al.
Published: (2023)

Detection of anomalies in cow activity using wavelet transform based features
by: Guien, Valentin, et al.
Published: (2025)

Generative modeling of granular flow on inclined planes using conditional flow matching
by: Li, Xuyang, et al.
Published: (2026)

Cardiac Evidence Backtracking for Eating Behavior Monitoring using Collocative Electrocardiogram Imagining
by: Zhang, Xu-Lu, et al.
Published: (2025)

A parametric framework for kernel-based dynamic mode decomposition using deep learning
by: Kevopoulos, Konstantinos, et al.
Published: (2024)

Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations
by: Alsubeihi, Mohammed, et al.
Published: (2024)

Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method
by: Rowan, Conor, et al.
Published: (2025)

A Multi-Layer Machine Learning and Econometric Pipeline for Forecasting Market Risk: Evidence from Cryptoasset Liquidity Spillovers
by: Qiu, Yimeng, et al.
Published: (2025)

StockBot 2.0: Vanilla LSTMs Outperform Transformer-based Forecasting for Stock Prices
by: Mohanty, Shaswat
Published: (2026)

Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024)

MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing
by: Ter-Avanesov, Boris, et al.
Published: (2024)

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
by: Cao, Bokai, et al.
Published: (2025)

Decoding RWA Tokenized U.S. Treasuries: Functional Dissection and Address Role Inference
by: Luo, Junliang, et al.
Published: (2025)

UAMM: Price-oracle based Automated Market Maker
by: Im, Daniel Jiwoong, et al.
Published: (2023)

Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios
by: Choudhary, Himanshu, et al.
Published: (2025)