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|STOCK PRICE PREDICTION A STUDY BETWEEN STATISTICAL APPROACH AND MACHINE LEARNING APPROACH|
Kavin S, Madan Raj M A, Arunachalam M and Bairavi E
Stock price prediction uses historical data and financial indicators to estimate future stock prices. Machine learning algorithms are commonly used for this task, analyzing factors such as past stock prices, earnings, news and market trends. The goal is to assist investors in making informed decisions. However, the prediction of stock prices is challenging due to the many factors that influence them. Despite this, advancements in machine learning models and data availability have improved prediction accuracy.
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