MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641051775 A) filed by MLR Institute of Technology, Hyderabad, Telangana, on April 23, for 'blockchain-based system and method for generating and verifying digital asset certificates.'
Inventor(s) include Dr. Shaik Mohammed Ilias; Mr. Davath Balakrishna; Mr. Somanshu Dev Netha Adepu; and Ms. Burra Madhuri.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The proposed invention presents a system for stock analysis and portfolio optimization using an Agentic Artificial Intelligence framework designed to enhance investment decision-making and improve risk-adjusted returns through adaptive, data-driven strategies. The system integrates multiple autonomous AI agent models that collaboratively analyze financial markets using machine learning algorithms, statistical modeling, and mathematical optimization techniques. Structured financial time-series data, including historical prices, volatility, trading volumes, and macroeconomic indicators, are utilized for accurate asset modeling and predictive forecasting. Portfolio allocation is optimized using convex optimization methods to maximize expected returns while minimizing risk under defined constraints and investor preferences. The framework incorporates agent-based signal generation to provide contextual, interpretable, and explainable market insights that support transparent decision-making. Sustainability considerations, including green bonds and environmentally responsible assets, are integrated as portfolio constraints to align investments with ESG principles. An interactive dashboard interface connects all analytical modules, enabling real-time visualization of performance metrics, risk exposure, allocation strategies, and sustainability indicators. Through coordinated multi-agent intelligence and continuous learning, the invention enhances portfolio performance while ensuring robustness, transparency, efficiency, and adaptability in financial operations."
Disclaimer: Curated by HT Syndication.
