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Stock Market Prediction
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer
HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting
Deep Learning Enhanced Multi-Day Turnover Quantitative Trading Algorithm for Chinese A-Share Market
Explainable-AI powered stock price prediction using time series transformers: A Case Study on BIST100
Gradient Boosting Decision Tree with LSTM for Investment Prediction
ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models
VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis
From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling
Your Offline Policy is Not Trustworthy: Bilevel Reinforcement Learning for Sequential Portfolio Optimization
Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy
Signature Decomposition Method Applying to Pair Trading
FinTextSim: Enhancing Financial Text Analysis with BERTopic
Transformer Encoder and Multi-features Time2Vec for Financial Prediction
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model
A Causal Perspective of Stock Prediction Models
Won: Establishing Best Practices for Korean Financial NLP
HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction
Large language models in finance : what is financial sentiment?
Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market
Multi-Agent Stock Prediction Systems: Machine Learning Models, Simulations, and Real-Time Trading Strategies
Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series
A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction
Trend-encoded Probabilistic Multi-order Model: A Non-Machine Learning Approach for Enhanced Stock Market Forecasts
A Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data
Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks
Chinese Stock Prediction Based on a Multi-Modal Transformer Framework: Macro-Micro Information Fusion
Multimodal Stock Price Prediction
Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading
Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
Stock Type Prediction Model Based on Hierarchical Graph Neural Network
GRUvader: Sentiment-Informed Stock Market Prediction
Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.