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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 26–50 of 137 papers

TitleStatusHype
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
Transfer learning for financial data predictions: a systematic review—0
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
A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity—0
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