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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 101–137 of 137 papers

TitleStatusHype
Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market—0
Tweet Influence on Market Trends: Analyzing the Impact of Social Media Sentiment on Biotech Stocks—0
Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty—0
From Stock Prediction to Financial Relevance: Repurposing Attention Weights to Assess News Relevance Without Manual Annotations—0
Unsupervised Word Influencer Networks from News Streams—0
VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis—0
SETN: Stock Embedding Enhanced with Textual and Network Information—0
Won: Establishing Best Practices for Korean Financial NLP—0
Absolute Value Constraint: The Reason for Invalid Performance Evaluation Results of Neural Network Models for Stock Price Prediction—0
A Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data—0
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles—0
A Fast Evidential Approach for Stock Forecasting—0
A Generalization Bound of Deep Neural Networks for Dependent Data—0
A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity—0
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model—0
Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models—0
An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework—0
A novel improved fuzzy support vector machine based stock price trend forecast model—0
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading—0
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images—0
A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer—0
A Survey of Forex and Stock Price Prediction Using Deep Learning—0
A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models—0
Automated Stock Price Prediction Using Machine Learning—0
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights—0
Boosting Stock Price Prediction with Anticipated Macro Policy Changes—0
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction—0
Comparative Study of Machine Learning Models for Stock Price Prediction—0
Comparison of Short-Text Sentiment Analysis Methods for Croatian—0
Contrasting the efficiency of stock price prediction models using various types of LSTM models aided with sentiment analysis—0
Cross-sectional Stock Price Prediction using Deep Learning for Actual Investment Management—0
Debunking Sentiment Lexicons: A Case of Domain-Specific Sentiment Classification for Croatian—0
Design and Analysis of Robust Deep Learning Models for Stock Price Prediction—0
Discovering Stock Price Prediction Rules of Bombay Stock Exchange Using Rough Fuzzy Multi Layer Perception Networks—0
Dynamic and Context-Dependent Stock Price Prediction Using Attention Modules and News Sentiment—0
Dynamic Inference—0
Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy—0
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