MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641058524 A) filed by Agni College Of Technology, Chennai, Tamil Nadu, on May 8, for 'blockchain-enabled ai-driven stock market prediction system for real-time predictive analysis using deep learning.'
Inventor(s) include Raghuraman V; Balaji S; and Sanjai.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a blockchain-enabled AI-driven system for real-time stock market prediction using deep learning techniques. The system integrates data acquisition, preprocessing, predictive modeling, and blockchain technology to ensure accurate, secure, and transparent forecasting of stock prices. Deep learning models analyze historical and live market data to identify complex patterns and generate predictions. The results are stored on a blockchain network to maintain data integrity and prevent tampering. The system includes visualization tools and alert mechanisms to assist investors in making informed decisions. By combining artificial intelligence with blockchain, the proposed system enhances prediction accuracy, ensures trustworthiness, and provides a scalable solution for modern financial markets."
Disclaimer: Curated by HT Syndication.
