Stock Market Prediction AI
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.
Authors
- Khan Shehzad Munir
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-02-07
- DOI
- https://doi.org/10.55041/ijsrem41435
- Citations
- 1
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 2.11