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AI-Driven Financial Market Analysis Techniques by tizluy is a document available to read on EtoBox.

This paper discusses the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) on financial market analysis, introducing an AI-driven business intelligence framework that enhances predictive accuracy, risk management, and algorithmic trading strategies. Key findings include improved stock price forecasting accuracy using LSTM, ARIMA, and XGBoost, as well as significant advancements in sentiment analysis and trading success rates. The research highlights ongoing challenges such as r

Author

tizluy

Language

EN