AI-Powered Predictive Analytics for Market Trend Forecasting: Integrating Deep Learning, NLP, and Ensemble Models for Enhanced Financial Insights
DOI:
https://doi.org/10.63503/acset.978-81-995593-9-4.49Keywords:
Artificial Intelligence (AI), Market Forecasting, Deep Learning, Natural Language Processing (NLP), Financial Indicators, Sentiment Analysis, Time Series Forecasting, Ensemble Learning ModelsAbstract
Market forecasting has undergone a significant transformation with the rise of Artificial Intelligence (AI), leading to greater precision and faster insights than traditional statistical techniques. This study examines how AI technologies—such as deep learning, natural language processing, and ensemble modelling can be integrated to more effectively predict market dynamics. It highlights the critical role of varied data sources, including financial metrics, news sentiment, and social media trends, in building robust forecasting frameworks. By evaluating AI-driven prediction models alongside conventional methods and analysing key performance indicators, the research offers an in-depth understanding of the opportunities and challenges of AI in financial forecasting. The findings also emphasise the expanding role of AI-powered decision-support systems across sectors such as finance, supply chain management, and marketing.
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