Deep Transformer-Based Asset Price and Direction Prediction

Deep Transformer-Based Asset Price and Direction Prediction

The field of algorithmic trading, driven by deep learning methodologies, has garnered substantial attention in recent times. Within this domain, transformers, convolutional neural networks, and patch embedding-based techniques have emerged as popular choices within the computer vision community. Her...

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Bibliographic Details
Main Authors: Abdul Haluk Batur Gezici, Emre Sefer
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Asset price prediction
deep learning
attention
vision transformers
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/10414094/

Internet

https://ieeexplore.ieee.org/document/10414094/

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