Multi-factor stock price prediction based on GAN-TrellisNet

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Liu, Wenjie, et al. “Multi-Factor Stock Price Prediction Based on GAN-TrellisNet”. Knowledge and Information Systems, 2024, https://doi.org/10.1007/s10115-024-02085-8.
Liu, W., Ge, Y., & Gu, Y. (2024). Multi-factor stock price prediction based on GAN-TrellisNet. Knowledge and Information Systems. https://doi.org/10.1007/s10115-024-02085-8
Liu W, Ge Y, Gu Y. Multi-factor stock price prediction based on GAN-TrellisNet. Knowledge and Information Systems. 2024;.
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Refrences
Title Journal Journal Categories Citations Publication Date
Generative adversarial network for sentiment‐based stock prediction

Concurrency and Computation: Practice and Experience
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
3 2023
10.1142/S021812662150122X Journal of Circuits, Systems and Computers
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2021
StockGAN: robust stock price prediction using GAN algorithm International Journal of Information Technology 10 2022
Stock Market Prediction Based on Generative Adversarial Network Procedia Computer Science 94 2019
Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques Chaos, Solitons & Fractals
  • Science: Mathematics
  • Science: Physics
  • Science: Mathematics
  • Science: Physics
284 2019
Citations
Title Journal Journal Categories Citations Publication Date
Multi-factor stock trading strategy based on DQN with multi-BiGRU and multi-head ProbSparse self-attention

Applied Intelligence
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2024
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article.