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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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Predicting the Effects of News Sentiments on the Stock Market
Neural networks for stock price prediction
Stock Price Prediction using Principle Components
The Power of Linear Recurrent Neural Networks
A novel improved fuzzy support vector machine based stock price trend forecast model
An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework
Multilinear Class-Specific Discriminant Analysis
Stock Price Prediction via Discovering Multi-Frequency Trading Patterns
Investigation Into The Effectiveness Of Long Short Term Memory Networks For Stock Price Prediction
LSSVM-ABC Algorithm for Stock Price prediction
Discovering Stock Price Prediction Rules of Bombay Stock Exchange Using Rough Fuzzy Multi Layer Perception Networks
Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence
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