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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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Fine-tuning and Utilization Methods of Domain-specific LLMs
ResNLS: An Improved Model for Stock Price Forecasting
Boosting Stock Price Prediction with Anticipated Macro Policy Changes
Feature selection and regression methods for stock price prediction using technical indicators
Generalized Mixture Model for Extreme Events Forecasting in Time Series Data
A Generalization Bound of Deep Neural Networks for Dependent Data
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels
The Potential of Quantum Techniques for Stock Price Prediction
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction
Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey
Contrasting the efficiency of stock price prediction models using various types of LSTM models aided with sentiment analysis
Stock Price Prediction using Dynamic Neural Networks
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends
Stock Price Prediction Using Temporal Graph Model with Value Chain Data
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance
DSE Stock Price Prediction using Hidden Markov Model
Leveraging Vision-Language Models for Granular Market Change Prediction
Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition
Hidden State Approximation in Recurrent Neural Networks Using Continuous Particle Filtering
FinBERT-LSTM: Deep Learning based stock price prediction using News Sentiment Analysis
Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty
Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market
Stock Performance Evaluation for Portfolio Design from Different Sectors of the Indian Stock Market
Predicting Stock Price Movement after Disclosure of Corporate Annual Reports: A Case Study of 2021 China CSI 300 Stocks
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
Stock Price Prediction using Sentiment Analysis and Deep Learning for Indian Markets
Dynamic and Context-Dependent Stock Price Prediction Using Attention Modules and News Sentiment
Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization
Precise Stock Price Prediction for Optimized Portfolio Design Using an LSTM Model
Robust Portfolio Design and Stock Price Prediction Using an Optimized LSTM Model
Comparative Study of Machine Learning Models for Stock Price Prediction
Precise Stock Price Prediction for Robust Portfolio Design from Selected Sectors of the Indian Stock Market
The Interpretability of LSTM Models for Predicting Oil Company Stocks: Impact of Correlated Features
Stationarity analysis of the stock market data and its application to mechanical trading
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