The world of stock market predictions is changing, and SEGi University’s Dr. Geetha Subramaniam is at the forefront of this transformation. As part of a global research team, Dr. Geetha has contributed to a pioneering study on how Neuro Deep Learning Models—a cutting-edge AI-driven approach—can revolutionise predictive analytics in financial markets.
Published in the Journal of Ecohumanism, this study, titled “Applications of Neuro Deep Learning Models in Predictive Data Analytics for the Movements and Trends of the Indian Stock Market”, explores how AI, quantum computing, and financial data mining are shaping the future of investment strategies.
Can AI Really Predict Stock Market Trends?
Stock markets are inherently unpredictable, influenced by economic policies, global events, and investor psychology. Traditional forecasting methods often struggle due to stochastic behaviour—random movements that make price predictions highly uncertain.
This research focuses on analysing the BSE-Sensex, India’s leading stock market index, and applies Neuro Deep Learning Models to detect patterns in highly volatile stock movements. By leveraging deep learning and quantum finance principles, the study aims to provide more accurate and data-driven investment insights.
Why This Research Matters
For investors and financial analysts, understanding market trends is crucial. This study highlights how AI can:
- Process high-frequency stock market data with greater accuracy
- Identify non-linear patterns that traditional models overlook
- Optimise investment strategies by predicting high-value stocks
With Dr. Geetha Subramaniam’s expertise from SEGi University, this research contributes to bridging the gap between AI-driven predictive analytics and real-world financial decision-making.
The Future of AI in Finance
As AI and quantum computing continue to evolve, their applications in financial data mining will reshape investment strategies worldwide. This study serves as a stepping stone toward a more intelligent, data-driven approach to stock market forecasting—an area where SEGi University remains committed to driving innovation.
With SEGi researchers like Dr. Geetha leading the charge, the intersection of technology, finance, and artificial intelligence will continue to push boundaries, making stock market predictions more accurate, efficient, and accessible.
This research supports the United Nations Sustainable Development Goals (SDGs):
SDG 8 – Decent Work and Economic Growth
SDG 9 – Industry, Innovation, and Infrastructure
SDG 17 – Partnerships for the Goals
Read the full study here: https://doi.org/10.62754/joe.v3i6.4505