MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202521117137 A) filed by Rajarambapu Institute Of Technology, Sangli, Maharashtra, on Nov. 26, 2025, for 'ai-based multi-agent stock recommendation system integrating sentiment, technical, and fundamental analysis with generative ai.'
Inventor(s) include Dr. Amol Chandrakant Adamuthe; Abhishek Ramesh Chougule; Sanika Dadaso Patil; Abubakr Bashir Mulla; and Abdul Haq.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "This invention describes an AI-driven multi-agent stock recommendation system that combines sentiment, technical, and fundamental analyses to deliver explainable investment insights. The system employs a Model Context Protocol (MCP) server to normalize and route diverse financial data streams-news, fundamentals, and market indicators-to domain-specific agents. Their analytical outputs are integrated by a Large Language Model (LLM) with Retrieval-Augmented Generation (RAG), producing real-time Buy, Sell, or Hold recommendations with confidence scores and risk assessments. A user interface visualizes trends and explanations, ensuring transparency and compliance. The system advances beyond conventional advisory tools through explainability, personalization, and adaptive learning, offering robust, interpretable, and regulatory-ready decision support for both institutional and retail investors."
Disclaimer: Curated by HT Syndication.
