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Stock Market Prediction
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models
A Survey of Large Language Models in Finance (FinLLMs)
Fin-GAN: forecasting and classifying financial time series via generative adversarial networks
Tweet Influence on Market Trends: Analyzing the Impact of Social Media Sentiment on Biotech Stocks
MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
Natural Language Processing and Multimodal Stock Price Prediction
Fine-tuning and Utilization Methods of Domain-specific LLMs
Linear and nonlinear causality in financial markets
Optimal pair trading: consumption-investment problem
Enhancing Financial Data Visualization for Investment Decision-Making
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices
ResNLS: An Improved Model for Stock Price Forecasting
Boosting Stock Price Prediction with Anticipated Macro Policy Changes
Feature selection and regression methods for stock price prediction using technical indicators
Generalized Mixture Model for Extreme Events Forecasting in Time Series Data
A Generalization Bound of Deep Neural Networks for Dependent Data
Hidden Markov Models for Stock Market Prediction
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
Signature Trading: A Path-Dependent Extension of the Mean-Variance Framework with Exogenous Signals
The Potential of Quantum Techniques for Stock Price Prediction
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction
Microstructure-Empowered Stock Factor Extraction and Utilization
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey
Contrasting the efficiency of stock price prediction models using various types of LSTM models aided with sentiment analysis
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study
Higher-order Graph Attention Network for Stock Selection with Joint Analysis
Stock Price Prediction using Dynamic Neural Networks
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE
Support for Stock Trend Prediction Using Transformers and Sentiment Analysis
Identifying Trades Using Technical Analysis and ML/DL Models
Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning
The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends
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