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Listening to Chaotic Whispers: A Deep Learning Framework for
  News-oriented Stock Trend Prediction
v1v2v3 (latest)

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction

6 December 2017
Ziniu Hu
Yuante Li
Jiang Bian
Xuanzhe Liu
Tie-Yan Liu
ArXiv (abs)PDFHTML

Papers citing "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction"

50 / 78 papers shown
Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction
Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction
Tian Guo
E. Hauptmann
AIFinAI4TS
346
0
0
17 Oct 2025
Context-Aware Language Models for Forecasting Market Impact from Sequences of Financial News
Context-Aware Language Models for Forecasting Market Impact from Sequences of Financial News
Ross Koval
Nicholas Andrews
Xifeng Yan
AIFin
177
1
0
15 Sep 2025
Momentum-integrated Multi-task Stock Recommendation with Converge-based Optimization
Momentum-integrated Multi-task Stock Recommendation with Converge-based Optimization
Hao Wang
Jingshu Peng
Yanyan Shen
Xujia Li
Lei Chen
Chuanhui Yang
Lei Chen
AI4TSAIFin
165
0
0
05 Aug 2025
Cross-Modal Temporal Fusion for Financial Market Forecasting
Cross-Modal Temporal Fusion for Financial Market Forecasting
Yunhua Pei
John Cartlidge
Anandadeep Mandal
Daniel Gold
Enrique Marcilio
Riccardo Mazzon
287
5
0
18 Apr 2025
Predictive AI with External Knowledge Infusion: Datasets and Benchmarks for Stock Markets
Predictive AI with External Knowledge Infusion: Datasets and Benchmarks for Stock Markets
Ambedkar Dukkipati
Kawin Mayilvaghanan
Naveen Kumar Pallekonda
Sai Prakash Hadnoor
Ranga Shaarad Ayyagari
AIFin
273
2
0
14 Apr 2025
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
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
369
17
0
27 Mar 2025
Predicting Stock Movement with BERTweet and Transformers
Predicting Stock Movement with BERTweet and Transformers
Michael Charles Albada
Mojolaoluwa Joshua Sonola
AIFin
116
1
0
13 Mar 2025
LLM-Based Routing in Mixture of Experts: A Novel Framework for Trading
LLM-Based Routing in Mixture of Experts: A Novel Framework for Trading
Kuan-Ming Liu
Ming-Chih Lo
MoE
397
5
0
20 Jan 2025
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock
  Movement Prediction
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement PredictionNeural Information Processing Systems (NeurIPS), 2024
Shuqi Li
Yuebo Sun
Yuxin Lin
Xin Gao
Shuo Shang
Rui Yan
AIFin
391
6
0
10 Nov 2024
Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes
Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes
Kelvin J.L. Koa
Yunshan Ma
Ritchie Ng
Ritchie Ng
Huanhuan Zheng
Tat-Seng Chua
AIFin
236
4
0
07 Oct 2024
Pre-Finetuning with Impact Duration Awareness for Stock Movement
  Prediction
Pre-Finetuning with Impact Duration Awareness for Stock Movement PredictionThe Web Conference (WWW), 2024
Chr-Jr Chiu
Chung-Chi Chen
Hen-Hsen Huang
Hsin-Hsi Chen
AIFin
209
2
0
25 Sep 2024
Large Investment Model
Large Investment Model
Jian Guo
H. Shum
AIFin
469
1
0
12 Aug 2024
Fine-Tuning Large Language Models for Stock Return Prediction Using
  Newsflow
Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow
Tian Guo
E. Hauptmann
AIFin
312
17
0
25 Jul 2024
Predicting Stock Prices with FinBERT-LSTM: Integrating News Sentiment
  Analysis
Predicting Stock Prices with FinBERT-LSTM: Integrating News Sentiment Analysis
Wenjun Gu
Yihao Zhong
Shizun Li
Changsong Wei
Liting Dong
Zhuoyue Wang
Chao Yan
AIFin
272
86
0
23 Jul 2024
Text2TimeSeries: Enhancing Financial Forecasting through Time Series
  Prediction Updates with Event-Driven Insights from Large Language Models
Text2TimeSeries: Enhancing Financial Forecasting through Time Series Prediction Updates with Event-Driven Insights from Large Language Models
Litton J. Kurisinkel
Pruthwik Mishra
Yue Zhang
366
9
0
04 Jul 2024
FinReport: Explainable Stock Earnings Forecasting via News Factor
  Analyzing Model
FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model
Xiangyu Li
Xinjie Shen
Yawen Zeng
Xiaofen Xing
Jin Xu
AIFin
275
20
0
05 Mar 2024
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented,
  Diversified, and Generalist
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
Rui Hu
AIFin
611
142
0
28 Feb 2024
Learning to Generate Explainable Stock Predictions using Self-Reflective
  Large Language Models
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language ModelsThe Web Conference (WWW), 2024
Kelvin J.L. Koa
Yunshan Ma
Ritchie Ng
Tat-Seng Chua
AIFinLLMAG
426
58
0
06 Feb 2024
Stock Movement and Volatility Prediction from Tweets, Macroeconomic
  Factors and Historical Prices
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical PricesBigData Congress [Services Society] (BSS), 2023
Shengkun Wang
Yangxiao Bai
Taoran Ji
Kaiqun Fu
Linhan Wang
Chang-Tien Lu
AIFin
203
7
0
04 Dec 2023
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock
  Movement and Volatility Prediction
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility PredictionInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2023
Shengkun Wang
Yangxiao Bai
Kaiqun Fu
Linhan Wang
Chang-Tien Lu
Taoran Ji
AIFin
148
7
0
28 Oct 2023
Integrating Stock Features and Global Information via Large Language
  Models for Enhanced Stock Return Prediction
Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction
Yujie Ding
Shuai Jia
Tianyi Ma
Bingcheng Mao
Xiuze Zhou
Liuliu Li
Dongming Han
AIFin
306
19
0
09 Oct 2023
Diffusion Variational Autoencoder for Tackling Stochasticity in
  Multi-Step Regression Stock Price Prediction
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price PredictionInternational Conference on Information and Knowledge Management (CIKM), 2023
Kelvin J.L. Koa
Yunshan Ma
Ritchie Ng
Tat-Seng Chua
DiffM
460
39
0
18 Aug 2023
Methods for Acquiring and Incorporating Knowledge into Stock Price
  Prediction: A Survey
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
350
11
0
09 Aug 2023
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock
  Trend Forecasting
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend ForecastingKnowledge Discovery and Data Mining (KDD), 2023
Lifan Zhao
Shuming Kong
Yanyan Shen
AIFin
665
43
0
16 Jun 2023
Towards systematic intraday news screening: a liquidity-focused approach
Towards systematic intraday news screening: a liquidity-focused approach
Jianfei Zhang
M. Rosenbaum
AIFin
157
0
0
11 Apr 2023
The Battle of Information Representations: Comparing Sentiment and
  Semantic Features for Forecasting Market Trends
The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market TrendsInternational Joint Conference on the Analysis of Images, Social Networks and Texts (AISNT), 2023
A.S. Zaichenko
A. Kazakov
Elizaveta Kovtun
S. Budennyy
AIFin
153
2
0
24 Mar 2023
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in
  Finance
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance
Bixing Yan
Shaoling Chen
Yuxuan He
Zhihan Li
AIFin
268
3
0
06 Mar 2023
Improved Stock Price Movement Classification Using News Articles Based
  on Embeddings and Label Smoothing
Improved Stock Price Movement Classification Using News Articles Based on Embeddings and Label Smoothing
Luis Villamil
Ryan Bausback
Shaeke Salman
Ting Liu
Conrad Horn
Xiuwen Liu
AIFin
101
0
0
25 Jan 2023
StockEmotions: Discover Investor Emotions for Financial Sentiment
  Analysis and Multivariate Time Series
StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series
Jean Lee
Hoyoul Luis Youn
Josiah Poon
S. Han
AIFin
245
18
0
23 Jan 2023
Quant 4.0: Engineering Quantitative Investment with Automated,
  Explainable and Knowledge-driven Artificial Intelligence
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence
Jian Guo
Saizhuo Wang
L. Ni
H. Shum
AIFin
331
16
0
13 Dec 2022
Symphony in the Latent Space: Provably Integrating High-dimensional
  Techniques with Non-linear Machine Learning Models
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022
Qiong Wu
Jian Li
Zhenming Liu
Jun Luo
Mihai Cucuringu
222
5
0
01 Dec 2022
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in
  Stock Movement Prediction
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement PredictionWeb Search and Data Mining (WSDM), 2022
T. T. Huynh
Minh Hieu Nguyen
Thanh Tam Nguyen
Phi Le Nguyen
Matthias Weidlich
Quoc Viet Hung Nguyen
Karl Aberer
AIFinAI4TS
216
53
0
11 Nov 2022
Multimodal Neural Network For Demand Forecasting
Multimodal Neural Network For Demand ForecastingInternational Conference on Neural Information Processing (ICONIP), 2022
Nitesh Kumar
K. Dheenadayalan
Suprabath Reddy
Sumant Kulkarni
AI4TS
145
8
0
20 Oct 2022
MetaTrader: An Reinforcement Learning Approach Integrating Diverse
  Policies for Portfolio Optimization
MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio OptimizationInternational Conference on Information and Knowledge Management (CIKM), 2022
Hui Niu
Siyuan Li
Jian Li
AIFin
320
49
0
01 Sep 2022
Deep Multiple Instance Learning For Forecasting Stock Trends Using
  Financial News
Deep Multiple Instance Learning For Forecasting Stock Trends Using Financial News
Yiqi Deng
Siu-Ming Yiu
AIFin
187
0
0
29 Jun 2022
Astock: A New Dataset and Automated Stock Trading based on
  Stock-specific News Analyzing Model
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
Jinan Zou
Hai Cao
Lingqiao Liu
Yuhao Lin
Ehsan Abbasnejad
Javen Qinfeng Shi
AIFin
177
24
0
14 Jun 2022
Quantitative Stock Investment by Routing Uncertainty-Aware Trading
  Experts: A Multi-Task Learning Approach
Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach
Shuo Sun
Rongpin Wang
Bo An
AIFin
234
4
0
07 Jun 2022
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial
  Task & Hyperbolic Models
Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Ramit Sawhney
Shivam Agarwal
Vivek Mittal
Paolo Rosso
Vikram Nanda
Sudheer Chava
AIFin
181
23
0
11 May 2022
GCNET: graph-based prediction of stock price movement using graph
  convolutional network
GCNET: graph-based prediction of stock price movement using graph convolutional networkEngineering applications of artificial intelligence (EAAI), 2022
Alireza Jafari
Saman Haratizadeh
GNNAIFinAI4TS
357
47
0
19 Feb 2022
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market
  Knowledge Graph via Dual Attention Networks
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yu Zhao
Huaming Du
Ying Liu
Shaopeng Wei
Xingyan Chen
Fuzhen Zhuang
Qing Li
Ji Liu
Gang Kou
AIFin
377
75
0
11 Jan 2022
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task
  Financial Forecasting
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2022
Linyi Yang
Jiazheng Li
Ruihai Dong
Yue Zhang
Barry Smyth
AI4TS
161
53
0
05 Jan 2022
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture
  Fleeting Intraday Trading Opportunities
DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities
Shuo Sun
Wanqi Xue
Rongpin Wang
Xu He
Junlei Zhu
Jian Li
Bo An
404
35
0
15 Dec 2021
Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning
  Approach
Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning ApproachInternational Conference on AI in Finance (ICAF), 2021
Francisco Caio Lima Paiva
L. Felizardo
Reinaldo A. C. Bianchi
Anna Helena Reali Costa
AIFin
167
9
0
14 Nov 2021
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining
  Concept-Oriented Shared Information
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information
Wentao Xu
Yuante Li
Lewen Wang
Ziheng Lu
Jiang Bian
Jian Yin
Tie-Yan Liu
AI4TSAIFin
283
71
0
26 Oct 2021
Reinforcement Learning for Quantitative Trading
Reinforcement Learning for Quantitative Trading
Shuo Sun
Rongpin Wang
Bo An
OffRLAIFin
322
82
0
28 Sep 2021
Graph-Based Learning for Stock Movement Prediction with Textual and
  Relational Data
Graph-Based Learning for Stock Movement Prediction with Textual and Relational DataInternational Conference on AI in Finance (ICAF), 2021
Qinkai Chen
C. Robert
AIFin
214
26
0
22 Jul 2021
Stock Movement Prediction with Financial News using Contextualized
  Embedding from BERT
Stock Movement Prediction with Financial News using Contextualized Embedding from BERT
Qinkai Chen
AIFin
116
27
0
19 Jul 2021
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor
  and Optimal Transport
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
Hengxu Lin
Dong Zhou
Yuante Li
Jiang Bian
AIFinAI4TS
315
84
0
24 Jun 2021
Stock Market Analysis with Text Data: A Review
Stock Market Analysis with Text Data: A Review
Kamaladdin Fataliyev
A. Chivukula
M. Prasad
Wei Liu
AIFin
208
9
0
23 Jun 2021
REST: Relational Event-driven Stock Trend Forecasting
REST: Relational Event-driven Stock Trend ForecastingThe Web Conference (WWW), 2021
W. Xu
Yuante Li
Chang Xu
Jiang Bian
Jian Yin
Tie-Yan Liu
319
75
0
15 Feb 2021
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