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Stock Market Prediction
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data
Stock Price Prediction using Multi-Faceted Information based on Deep Recurrent Neural Networks
GRU-PFG: Extract Inter-Stock Correlation from Stock Factors with Graph Neural Network
FinVision: A Multi-Agent Framework for Stock Market Prediction
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
News-Driven Stock Price Forecasting in Indian Markets: A Comparative Study of Advanced Deep Learning Models
Leveraging Fundamental Analysis for Stock Trend Prediction for Profit
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles
FLAG: Financial Long Document Classification via AMR-based GNN
A Hierarchical conv-LSTM and LLM Integrated Model for Holistic Stock Forecasting
Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals
Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price Prediction
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
Double-Path Adaptive-correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecasting
Transfer learning for financial data predictions: a systematic review
SARF: Enhancing Stock Market Prediction with Sentiment-Augmented Random Forest
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
SETN: Stock Embedding Enhanced with Textual and Network Information
Reinforcement Learning Pair Trading: A Dynamic Scaling approach
Machine learning in weekly movement prediction
Enhancing Few-Shot Stock Trend Prediction with Large Language Models
Indian Stock Market Prediction using Augmented Financial Intelligence ML
Statistical arbitrage in multi-pair trading strategy based on graph clustering algorithms in US equities market
Exploring Sectoral Profitability in the Indian Stock Market Using Deep Learning
Review of deep learning models for crypto price prediction: implementation and evaluation
A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity
Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization
StockGPT: A GenAI Model for Stock Prediction and Trading
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework
FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model
Analysis of Multidomain Abstractive Summarization Using Salience Allocation
RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction
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