MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541126547 A) filed by Mr. Nannuri Srikanth Reddy; Mrs. Bodhanapu Soujanya; Mr. Jinuka Srinivas; Mrs. Pannala Prasanna; and Mr. R. Ramakrishna, Hyderabad, Telangana, on Dec. 14, 2025, for 'ai-enabled system for risk and return analysis of equity stocks in fmcg sector using machine learning and predictive volatility modelling.'
Inventor(s) include Mr. Nannuri Srikanth Reddy; Mrs. Bodhanapu Soujanya; Mr. Jinuka Srinivas; Mrs. Pannala Prasanna; and Mr. R. Ramakrishna.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The invention provides an AI-enabled system for automated risk and return analysis of equity stocks, with specific focus on the Fast-Moving Consumer Goods (FMCG) sector. The system integrates real-time data acquisition, statistical computation, and machine learning-based forecasting into a unified analytical framework. A preprocessing module cleans and structures market data, while a statistical engine calculates key financial indicators such as mean return, standard deviation, skewness, kurtosis, variance, and beta. An AI-powered prediction engine using LSTM, ARIMA, Random Forest, and SVM models forecasts future returns and volatility patterns. A volatility identification module detects anomalies using clustering and deviation analysis. A recommendation engine generates customized investment guidance based on investor risk profiles. The system displays insights through an interactive dashboard. The invention enhances investment decision-making by providing accurate, real-time, and predictive financial analytics, surpassing traditional manual methods in speed, precision, and reliability."
Disclaimer: Curated by HT Syndication.
