HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information

26 October 2021

Jiang Bian

Papers citing "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information"

24 / 24 papers shown

Title
QuantBench: Benchmarking AI Methods for Quantitative Investment Saizhuo Wang Hao Kong Jiadong Guo Fengrui Hua Yiyan Qi Wanyun Zhou Jiahao Zheng Xinyu Wang Lionel M. Ni Jian Guo 47 0 0 24 Apr 2025
From Deep Learning to LLMs: A survey of AI in Quantitative Investment Bokai Cao Saizhuo Wang Xinyi Lin Xiaojun Wu Haohan Zhang L. Ni Jian Guo AIFin 52 0 0 27 Mar 2025
FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction Yitong Duan Weiran Wang Jian Li 38 0 0 05 Feb 2025
From Votes to Volatility Predicting the Stock Market on Election Day Igor L.R. Azevedo Toyotaro Suzumura 71 0 0 15 Dec 2024
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations Yunhua Pei Jin Zheng John Cartlidge AIFin 54 1 0 05 Dec 2024
GRU-PFG: Extract Inter-Stock Correlation from Stock Factors with Graph Neural Network Yonggai Zhuang Haoran Chen Kequan Wang Teng Fei AIFin 56 0 0 28 Nov 2024
Automate Strategy Finding with LLM in Quant Investment Zhizhuo Kou Holam Yu Jingshu Peng Lei Chen Lei Chen AIFin 32 5 0 10 Sep 2024
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors Hao Shi Weili Song Xinting Zhang Jiahe Shi Cuicui Luo Xiang Ao Hamid Arian Luis Seco 19 1 0 26 Jun 2024
A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction Wei Chen Yuanyuan Yang Jianyu Liu 20 0 0 05 Jun 2024
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading Xi Cheng Jinghao Zhang Yunan Zeng Wenfang Xue 22 1 0 03 Jun 2024
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation Yuan Gao Haokun Chen Xiang Wang Zhicai Wang Xue Wang Jinyang Gao Bolin Ding 24 6 0 05 Feb 2024
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction Hao Qian Hongting Zhou Qian Zhao Hao Chen Hongxiang Yao Jingwei Wang Ziqi Liu Fei Yu Zhiqiang Zhang Jun Zhou AIFin 19 16 0 19 Jan 2024
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey Liping Wang Jiawei Li Lifan Zhao Zhizhuo Kou Xiaohan Wang Xinyi Zhu Hao Wang Yanyan Shen Lei Chen AIFin 11 8 0 09 Aug 2023
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting Lifan Zhao Shuming Kong Yanyan Shen AIFin 18 22 0 16 Jun 2023
Joint Latent Topic Discovery and Expectation Modeling for Financial Markets Lili Wang Chenghan Huang Chongyang Gao Weicheng Ma Soroush Vosoughi AIFin 9 1 0 01 Jun 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders Dingsu Wang Yuchen Yan Ruizhong Qiu Yada Zhu Kaiyu Guan A. Margenot Hanghang Tong AI4TS 20 27 0 29 May 2023
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning Shuo Yu Hongyan Xue Xiang Ao Feiyang Pan Jia He Dandan Tu Qing He AIFin 12 10 0 25 May 2023
E2EAI: End-to-End Deep Learning Framework for Active Investing Zikai Wei Bo Dai Dahua Lin AI4TS 19 4 0 25 May 2023
Discovering Predictable Latent Factors for Time Series Forecasting Jingyi Hou Zhen Dong Jiayu Zhou Zhijie Liu AI4TS BDL 14 1 0 18 Mar 2023
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks Jie Zou Jiashu Lou Baohua Wang Sixue Liu AIFin 14 28 0 06 Dec 2022
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information Zifeng Ding Jingpei Wu Bailan He Yunpu Ma Zhen Han Volker Tresp 21 14 0 15 Nov 2022
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction T. T. Huynh Minh Hieu Nguyen Thanh Tam Nguyen Phi Le Nguyen Matthias Weidlich Quoc Viet Hung Nguyen Karl Aberer AIFin AI4TS 13 26 0 11 Nov 2022
Factor Investing with a Deep Multi-Factor Model Zikai Wei Bo Dai Dahua Lin AIFin 8 3 0 22 Oct 2022
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis Daiki Matsunaga Toyotaro Suzumura Toshihiro Takahashi AIFin 27 80 0 24 Sep 2019