Year: 2025
Type: article
Abstract: Stock market prediction is complex due to its volatility. This paper proposes an AI-driven model using deep learning techniques like LSTM and transformers, integrating historical prices, technical indicators, sentiment analysis, and macroeconomic factors. The model outperforms traditional methods, demonstrating improved accuracy in market trend prediction. Results highlight AI’s potential in financial forecasting and investment decision. Index Terms: Stock Market Prediction, Artificial Intelligence, Machine Learning, Deep Learning, LSTM, Transformer, Financial Forecasting, Sentiment Analysis, Time Series Analysis, Technical Indicators.
DOI: 10.55041/ijsrem41435
Author: Khan Shehzad Munir
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4407255051