CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model
with Attention for Predicting Trends of Financial Markets

CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets

8 April 2021

Papers citing "CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets"

15 / 15 papers shown

Title
Cross-Modal Temporal Fusion for Financial Market Forecasting Yunhua Pei John Cartlidge Anandadeep Mandal Daniel Gold Enrique Marcilio Riccardo Mazzon 42 0 0 18 Apr 2025
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations Yunhua Pei Jin Zheng John Cartlidge AIFin 64 1 0 05 Dec 2024
Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learning Zhengxin Joseph Ye Bjoern Schuller 31 0 0 25 Sep 2024
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist Wentao Zhang Lingxuan Zhao Haochong Xia Shuo Sun Jiaze Sun ... Yilei Zhao Xinyu Cai Longtao Zheng Xinrun Wang Bo An AIFin 46 35 0 28 Feb 2024
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting Chu Myaet Thwal Ye Lin Tun Kitae Kim Seong-Bae Park Choong Seon Hong AI4TS AIFin 33 5 0 22 Jan 2024
Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs Qiang Gao Xinzhu Zhou Kunpeng Zhang Li Huang Si-run Liu Fan Zhou AIFin 23 0 0 28 Oct 2022
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables Penglei Gao Xi Yang Rui Zhang Ping Guo John Y. Goulermas Kaizhu Huang AI4TS 24 5 0 03 Aug 2022
Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach Shuo Sun R. Wang Bo An AIFin 8 1 0 07 Jun 2022
Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements Jia Wang Hongwei Zhu Jiancheng Shen Yu Cao Benyuan Liu AIFin 10 1 0 27 Jan 2022
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks Yu Zhao Huaming Du Ying Liu Shaopeng Wei Xingyan Chen Fuzhen Zhuang Qing Li Ji Liu Gang Kou AIFin 19 44 0 11 Jan 2022
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities Shuo Sun Wanqi Xue R. Wang Xu He Junlei Zhu Jian Li Bo An 16 20 0 15 Dec 2021
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling Liang Zeng Lei Wang Hui Niu Ruchen Zhang Ling Wang Jian Li 22 3 0 26 Jul 2021
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction Penglei Gao Xi Yang Rui Zhang Kaizhu Huang AI4TS 22 15 0 26 Nov 2020
Applications of deep learning in stock market prediction: recent progress Weiwei Jiang AIFin 6 475 0 29 Feb 2020
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 236 7,916 0 13 Jun 2015