Abstract: The intricate dance of the Indian stock market demands innovative solutions to unveil its future trends. This research project embraces the transformative power of deep learning, wielding it to construct a robust predictive model from a rich tapestry of historical market data, economic indicators, and sentiment analysis. Rigorous evaluation metrics will be our compass, guiding us towards a model that captures market movements with unparalleled accuracy. But the journey doesn't end there. We envision this research to illuminate the potential of deep learning in financial forecasting, empowering investors with data-driven insights and guiding policymakers towards informed strategies. Ultimately, we strive to write a new chapter for the Indian market, one marked by stability, predictability, and flourishing investment opportunities. This research is not just an exploration of data, but a quest to unlock the potential for a brighter future, fueled by the power of deep learning.
Keywords: Stock Market Prediction, Deep Learning, ARIMA (Auto Regressive Integrated Moving Average), Predictive Modeling, Technical Indicators, Financial Time Series Analysis.
Cite:
Joel J, Harish R, Ramakrishnan, G. Thiagarajan, "UTILIZING ARTIFICIAL INTELLIGENCE FOR ADVANCED STOCK MARKET PREDICTION: A COMPREHENSIVE ANALYSIS OF ALGORITHMS AND DATA MODELS", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 2, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.13233.
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DOI:
10.17148/IJARCCE.2024.13233
