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Stock Price Prediction

Stock Price Prediction is the task of forecasting future stock prices based on historical data and various market indicators. It involves using statistical models and machine learning algorithms to analyze financial data and make predictions about the future performance of a stock. The goal of stock price prediction is to help investors make informed investment decisions by providing a forecast of future stock prices.

Papers

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Showing 1–50 of 137 papers

TitleStatusHype
A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer—0
HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting—0
Explainable-AI powered stock price prediction using time series transformers: A Case Study on BIST100—0
Gradient Boosting Decision Tree with LSTM for Investment Prediction—0
VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis—0
From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling—0
Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy—0
FinTextSim: Enhancing Financial Text Analysis with BERTopic—0
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model—0
Won: Establishing Best Practices for Korean Financial NLP—0
Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market—0
Multi-Agent Stock Prediction Systems: Machine Learning Models, Simulations, and Real-Time Trading Strategies—0
Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis—0
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series—0
A Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data—0
Multimodal Stock Price Prediction—0
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting—0
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading—0
GRUvader: Sentiment-Informed Stock Market Prediction—0
Stock Price Prediction using Multi-Faceted Information based on Deep Recurrent Neural Networks—0
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images—0
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction—0
News-Driven Stock Price Forecasting in Indian Markets: A Comparative Study of Advanced Deep Learning Models—0
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles—0
Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals—0
Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price PredictionCode2
Transfer learning for financial data predictions: a systematic review—0
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRUCode1
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction—0
SETN: Stock Embedding Enhanced with Textual and Network Information—0
Probabilistic Deep Learning and Transfer Learning for Robust Cryptocurrency Price PredictionCode0
Exploring Sectoral Profitability in the Indian Stock Market Using Deep Learning—0
Review of deep learning models for crypto price prediction: implementation and evaluationCode1
A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity—0
Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization—0
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights—0
Tweet Influence on Market Trends: Analyzing the Impact of Social Media Sentiment on Biotech Stocks—0
Natural Language Processing and Multimodal Stock Price Prediction—0
Fine-tuning and Utilization Methods of Domain-specific LLMs—0
ResNLS: An Improved Model for Stock Price ForecastingCode1
Boosting Stock Price Prediction with Anticipated Macro Policy Changes—0
Feature selection and regression methods for stock price prediction using technical indicators—0
Generalized Mixture Model for Extreme Events Forecasting in Time Series Data—0
A Generalization Bound of Deep Neural Networks for Dependent Data—0
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
The Potential of Quantum Techniques for Stock Price Prediction—0
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price PredictionCode1
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey—0
Contrasting the efficiency of stock price prediction models using various types of LSTM models aided with sentiment analysis—0
Stock Price Prediction using Dynamic Neural Networks—0
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