MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202521132879 A) filed by Bharati Vidyapeeth Deemed University Department Of Engineering Technology, Navi Mumbai; Dr. Divya Rohatgi; Dr. Supriya Khaitan; Rupali Sharma; Dr. Kamal Mehta; and Dr. Mohan Awasthy on December 29, 2025, for Multi-Agent Ai Hedge Detection And Investment Recommendation System With Contextual, Biometric, And Blockchain-Logged Adaptivity.
Inventors include Dr. Divya Rohatgi; Dr. Supriya Khaitan; Rupali Sharma; Dr. Kamal Mehta; and Dr. Mohan Awasthy.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT: Multi-Agent AI Hedge Detection and Investment Recommendation System with Contextual, Biometric, and Blockchain-Logged Adaptivity This invention describes a multi-agent, AI-powered hedge detection and investment recommendation system configured to deliver adaptive, anticipatory, and auditable portfolio strategies. The system integrates conventional technical, fundamental, volatility, and portfolio analysis agents with five novel modules: a disaster event override that supersedes standard trading logic upon detection of geopolitical, climatic, or epidemiological disruptions; a geo-cultural signal processor that incorporates regional and seasonal economic stimuli into hedge timing; a quantum-inspired volatility forecaster that models superposed probabilistic market states for tail-risk prediction; a biometric sentiment aggregator that extracts stress and panic indicators from crowd-level physiological and behavioral data; and a blockchain-logged transparency mechanism that immutably records recommendations with contextual inputs, timestamps, and confidence metrics. By synthesizing multi-modal signals through a central coordination engine, the invention provides context-aware, explainable, and regulatorily compliant hedge recommendations, thereby addressing the limitations of conventional systems during catastrophic events, sentiment cascades, and non-market disruptions.
Disclaimer: Curated by HT Syndication.
