Author(s) :

Mirdula.

Volume/Issue :

Abstract :

The stock market, characterized by its complexity and volatility, has long been a challenging domain for accurate prediction. This study explores the application of machine learning (ML) algorithms and statistical models to forecast stock market trends by integrating diverse data sources and advanced techniques. Key datasets include historical stock prices, technical indicators, macroeconomic factors, and sentiment analysis derived from financial news and social media.

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