Deep learning models for price forecasting of financial time series: A
review of recent advancements: 2020-2022

Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022

21 April 2023

Roslina Ibrahim

Papers citing "Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022"

14 / 14 papers shown

Title
Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data Paul Quinlan Qingguo Li Xiaodan Zhu AI4TS LRM 64 0 0 13 Mar 2025
VWAP Execution with Signature-Enhanced Transformers: A Multi-Asset Learning Approach Remi Genet 70 0 0 04 Mar 2025
S4M: S4 for multivariate time series forecasting with Missing values Jing Peng Meiqi Yang Qiong Zhang Xiaoxiao Li AI4TS 38 0 0 02 Mar 2025
Concealed Adversarial attacks on neural networks for sequential data P. Sokerin Dmitry Anikin Sofia Krehova Alexey Zaytsev AAML AI4TS 49 0 0 28 Feb 2025
Recurrent Neural Networks for Dynamic VWAP Execution: Adaptive Trading Strategies with Temporal Kolmogorov-Arnold Networks Remi Genet 102 1 0 25 Feb 2025
Forecasting Company Fundamentals Felix Divo Eric Endress Kevin Endler Kristian Kersting Devendra Singh Dhami AI4TS 32 0 0 21 Oct 2024
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting Md. Kowsher Md. Shohanur Islam Sobuj Nusrat Jahan Prottasha E. Alejandro Alanis O. Garibay Niloofar Yousefi AI4TS 37 0 0 15 Oct 2024
Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learning Zhengxin Joseph Ye Bjoern Schuller 31 0 0 25 Sep 2024
Combining supervised and unsupervised learning methods to predict financial market movements Gabriel Rodrigues Palma Mariusz Skoczeñ Phil Maguire AIFin 25 1 0 19 Aug 2024
A Survey of Mamba Shuwei Shi Shibing Chu Rui An Wenqi Fan Yuee Xie Hui Liu Yuanping Chen Qing Li AI4CE 44 26 0 02 Aug 2024
1D-CapsNet-LSTM: A Deep Learning-Based Model for Multi-Step Stock Index Forecasting Cheng Zhang N. N. Sjarif Roslina Ibrahim AIFin AI4TS 25 7 0 03 Oct 2023
MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price Qiutong Guo Shun Lei Qing Ye Zhiyang Fang 36 24 0 03 May 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 236 7,906 0 13 Jun 2015