Transformer Based Time-Series Forecasting for Stock
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Shuozhe, Schulwol, Zachery B, Miikkulainen, Risto |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization
by: Li, Shuozhe, et al.
Published: (2026)
by: Li, Shuozhe, et al.
Published: (2026)
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)
Stock Volatility Prediction using Time Series and Deep Learning Approach
by: Chatterjee, Ananda, et al.
Published: (2022)
by: Chatterjee, Ananda, et al.
Published: (2022)
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)
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)
StockBot 2.0: Vanilla LSTMs Outperform Transformer-based Forecasting for Stock Prices
by: Mohanty, Shaswat
Published: (2026)
by: Mohanty, Shaswat
Published: (2026)
A Hype-Adjusted Probability Measure for NLP Stock Return Forecasting
by: Cao, Zheng, et al.
Published: (2024)
by: Cao, Zheng, et al.
Published: (2024)
Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
by: Omranpour, Soroush, et al.
Published: (2024)
by: Omranpour, Soroush, et al.
Published: (2024)
Feature Selection with Annealing for Forecasting Financial Time Series
by: Pabuccu, Hakan, et al.
Published: (2023)
by: Pabuccu, Hakan, et al.
Published: (2023)
Real-Time Online Stock Forecasting Utilizing Integrated Quantitative and Qualitative Analysis
by: Bathini, Sai Akash, et al.
Published: (2023)
by: Bathini, Sai Akash, et al.
Published: (2023)
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)
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)
by: Zhu, Peng, et al.
Published: (2024)
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)
by: Hu, Yifan, et al.
Published: (2025)
ResNLS: An Improved Model for Stock Price Forecasting
by: Jia, Yuanzhe, et al.
Published: (2023)
by: Jia, Yuanzhe, et al.
Published: (2023)
Regression and Forecasting of U.S. Stock Returns Based on LSTM
by: Zhou, Shicheng, et al.
Published: (2025)
by: Zhou, Shicheng, et al.
Published: (2025)
Semantic-Enhanced Time-Series Forecasting via Large Language Models
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
FinCast: A Foundation Model for Financial Time-Series Forecasting
by: Zhu, Zhuohang, et al.
Published: (2025)
by: Zhu, Zhuohang, et al.
Published: (2025)
Adaptive Weighted Genetic Algorithm-Optimized SVR for Robust Long-Term Forecasting of Global Stock Indices for investment decisions
by: Beniwal, Mohit
Published: (2025)
by: Beniwal, Mohit
Published: (2025)
Time Series Foundation Models for Multivariate Financial Time Series Forecasting
by: Marconi, Ben A.
Published: (2025)
by: Marconi, Ben A.
Published: (2025)
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)
Stock Type Prediction Model Based on Hierarchical Graph Neural Network
by: Yao, Jianhua, et al.
Published: (2024)
by: Yao, Jianhua, et al.
Published: (2024)
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model
by: Sarkar, Anindya, et al.
Published: (2025)
by: Sarkar, Anindya, et al.
Published: (2025)
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)
Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market
by: Khubiev, Kasymkhan, et al.
Published: (2025)
by: Khubiev, Kasymkhan, et al.
Published: (2025)
News Sentiment Embeddings for Stock Price Forecasting
by: Qayyum, Ayaan
Published: (2025)
by: Qayyum, Ayaan
Published: (2025)
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)
Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals
by: Alamu, Opeyemi Sheu, et al.
Published: (2024)
by: Alamu, Opeyemi Sheu, et al.
Published: (2024)
Financial Fine-tuning a Large Time Series Model
by: Fu, Xinghong, et al.
Published: (2024)
by: Fu, Xinghong, 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)
Predicting Stock Movement with BERTweet and Transformers
by: Albada, Michael Charles, et al.
Published: (2025)
by: Albada, Michael Charles, et al.
Published: (2025)
Exploiting Supply Chain Interdependencies for Stock Return Prediction: A Full-State Graph Convolutional LSTM
by: Liu, Chang
Published: (2023)
by: Liu, Chang
Published: (2023)
The Odyssey of the Fittest: Can Agents Survive and Still Be Good?
by: Waldner, Dylan, et al.
Published: (2025)
by: Waldner, Dylan, et al.
Published: (2025)
FHRFormer: A Self-Supervised Masked Transformer Framework for Fetal Heart Rate Time-Series Inpainting and Forecasting
by: Engan, Kjersti, et al.
Published: (2026)
by: Engan, Kjersti, et al.
Published: (2026)
Same Error, Different Function: The Optimizer as an Implicit Prior in Financial Time Series
by: Cortesi, Federico Vittorio, et al.
Published: (2026)
by: Cortesi, Federico Vittorio, et al.
Published: (2026)
Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review
by: Ericson, Lars, et al.
Published: (2024)
by: Ericson, Lars, et al.
Published: (2024)
From Rattle to Roar: Optimizer Showdown for MambaStock on S&P 500
by: Chan, Alena, et al.
Published: (2025)
by: Chan, Alena, et al.
Published: (2025)
Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting
by: Zhao, Lifan, et al.
Published: (2024)
by: Zhao, Lifan, et al.
Published: (2024)
Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock
by: Huang, Dengxin
Published: (2023)
by: Huang, Dengxin
Published: (2023)
Quantifying Cryptocurrency Unpredictability: A Comprehensive Study of Complexity and Forecasting
by: Puoti, Francesco, et al.
Published: (2025)
by: Puoti, Francesco, et al.
Published: (2025)
Similar Items
-
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting
by: Thwal, Chu Myaet, et al.
Published: (2024) -
A Learnable Wavelet Transformer for Long-Short Equity Trading and Risk-Adjusted Return Optimization
by: Li, Shuozhe, et al.
Published: (2026) -
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024) -
Stock Volatility Prediction using Time Series and Deep Learning Approach
by: Chatterjee, Ananda, et al.
Published: (2022) -
Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting
by: Peik, Arash, et al.
Published: (2024)