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Stock Price Prediction
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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.
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HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting
Explainable-AI powered stock price prediction using time series transformers: A Case Study on BIST100
Gradient Boosting Decision Tree with LSTM for Investment Prediction
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
Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy
FinTextSim: Enhancing Financial Text Analysis with BERTopic
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model
Won: Establishing Best Practices for Korean Financial NLP
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 Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data
Multimodal Stock Price Prediction
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading
GRUvader: Sentiment-Informed Stock Market Prediction
Stock Price Prediction using Multi-Faceted Information based on Deep Recurrent Neural Networks
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
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles
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
Transfer learning for financial data predictions: a systematic review
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
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
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
Tweet Influence on Market Trends: Analyzing the Impact of Social Media Sentiment on Biotech Stocks
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