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A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock
  Prices and News

A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News

23 July 2020
Yang Li
Yi Pan
    AIFin
ArXivPDFHTML

Papers citing "A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News"

13 / 13 papers shown
Title
SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting
Ting Huang
Xu-Yang Chen
Han-Jia Ye
AI4TS
60
1
0
04 Mar 2025
Modeling News Interactions and Influence for Financial Market Prediction
Modeling News Interactions and Influence for Financial Market Prediction
Mengyu Wang
Shay B. Cohen
Tiejun Ma
AIFin
26
1
0
14 Oct 2024
MANA-Net: Mitigating Aggregated Sentiment Homogenization with News
  Weighting for Enhanced Market Prediction
MANA-Net: Mitigating Aggregated Sentiment Homogenization with News Weighting for Enhanced Market Prediction
Mengyu Wang
Tiejun Ma
AIFin
49
2
0
09 Sep 2024
Cross-border Commodity Pricing Strategy Optimization via Mixed Neural
  Network for Time Series Analysis
Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis
Lijuan Wang
Yijia Hu
Yan Zhou
AI4TS
53
6
0
22 Aug 2024
Review of deep learning models for crypto price prediction:
  implementation and evaluation
Review of deep learning models for crypto price prediction: implementation and evaluation
Jingyang Wu
Xinyi Zhang
Fangyixuan Huang
Haochen Zhou
Rohtiash Chandra
42
3
0
19 May 2024
Forecasting VIX using Bayesian Deep Learning
Forecasting VIX using Bayesian Deep Learning
Héctor J. Hortúa
Andrés Mora-Valencia
BDL
OOD
50
4
0
30 Jan 2024
Performance Evaluation of Equal-Weight Portfolio and Optimum Risk
  Portfolio on Indian Stocks
Performance Evaluation of Equal-Weight Portfolio and Optimum Risk Portfolio on Indian Stocks
A. Sen
Jaydip Sen
26
0
0
24 Sep 2023
Domain-Agnostic Neural Architecture for Class Incremental Continual
  Learning in Document Processing Platform
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform
Mateusz Wójcik
Witold Ko'sciukiewicz
Mateusz Baran
Tomasz Kajdanowicz
Adam Gonczarek
CLL
32
1
0
11 Jul 2023
Copula Variational LSTM for High-dimensional Cross-market Multivariate
  Dependence Modeling
Copula Variational LSTM for High-dimensional Cross-market Multivariate Dependence Modeling
Jia Xu
Longbin Cao
AI4TS
BDL
24
7
0
09 May 2023
A Novel Deep Reinforcement Learning Based Automated Stock Trading System
  Using Cascaded LSTM Networks
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks
Jie Zou
Jiashu Lou
Baohua Wang
Sixue Liu
AIFin
29
28
0
06 Dec 2022
Neural Architecture for Online Ensemble Continual Learning
Neural Architecture for Online Ensemble Continual Learning
Mateusz Wójcik
Witold Ko'sciukiewicz
Tomasz Kajdanowicz
Adam Gonczarek
CLL
34
1
0
27 Nov 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation, and Research Challenges
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
F. Giannotti
CML
38
31
0
21 Oct 2022
A Comprehensive Review on Summarizing Financial News Using Deep Learning
A Comprehensive Review on Summarizing Financial News Using Deep Learning
Saurabh Kamal
Sahil Sharma
AIFin
29
2
0
21 Sep 2021
1