Applications of deep learning in stock market prediction: recent progress

29 February 2020

Papers citing "Applications of deep learning in stock market prediction: recent progress"

19 / 19 papers shown

Title
Enhancing Black-Litterman Portfolio via Hybrid Forecasting Model Combining Multivariate Decomposition and Noise Reduction Ziye Yang Ke Lu 21 0 0 03 May 2025
Enhancing Multistep Prediction of Multivariate Market Indices Using Weighted Optical Reservoir Computing Fang Wang Ting Bu Yuping Huang 19 0 0 01 Aug 2024
Developing An Attention-Based Ensemble Learning Framework for Financial Portfolio Optimisation Zhenglong Li Vincent Tam 35 0 0 13 Apr 2024
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Keli Zhang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 40 118 0 16 Oct 2023
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 24 9 0 09 Aug 2023
Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading Vikram Duvvur Aashay Mehta Edward W. Sun Bo Wu Ken Yew Chan J. Schneider AIFin 22 0 0 18 Jul 2023
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study Matteo Prata Giuseppe Masi Leonardo Berti Viviana Arrigoni Andrea Coletta Irene Cannistraci Svitlana Vyetrenko Paola Velardi N. Bartolini 27 8 0 05 Jul 2023
E2EAI: End-to-End Deep Learning Framework for Active Investing Zikai Wei Bo Dai Dahua Lin AI4TS 27 4 0 25 May 2023
Gated Deeper Models are Effective Factor Learners Jingjing Guo AIFin 9 0 0 18 May 2023
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022 Chen Zhang N. N. Sjarif Roslina Ibrahim AI4TS 41 42 0 21 Apr 2023
A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management MohammadAmin Fazli M. Lashkari Hamed Taherkhani J. Habibi AIFin 30 0 0 29 Dec 2022
Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models Dorien Herremans Kah Wee Low 18 4 0 06 Oct 2022
A Review on Graph Neural Network Methods in Financial Applications Jianian Wang Shenmin Zhang Yanghua Xiao Rui Song AI4TS 29 104 0 27 Nov 2021
DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy Sai Gurrapu Fatemeh Jamshidi Pei Wang Md. Nazmul Kabir Sikder Nitish Gorentala Gopinath Munisamy 22 6 0 22 Oct 2021
Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction C. Cui Xiaojie Li Juan Du Chunyun Zhang Xiushan Nie Meng Wang Yilong Yin AIFin 11 4 0 22 Jul 2021
An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather Data Weiwei Jiang Jiayun Luo 27 16 0 06 Jul 2021
COVID19-HPSMP: COVID-19 Adopted Hybrid and Parallel Deep Information Fusion Framework for Stock Price Movement Prediction Farnoush Ronaghi Mohammad Salimibeni F. Naderkhani Arash Mohammadi 16 27 0 02 Jan 2021
ATM Cash demand forecasting in an Indian Bank with chaos and deep learning Sarveswararao Vangala V. Ravi BDL 19 18 0 24 Aug 2020
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis Daiki Matsunaga Toyotaro Suzumura Toshihiro Takahashi AIFin 38 82 0 24 Sep 2019