MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076765 A) filed by Sns College Of Technology on June 21, 2026, for Finx- Ai-Based Stock Market Analysis And Prediction System.
Inventors include Mrs. B. Sajitha; Mugeesh J; Rahul Ranjan Pm; Sanjay Krishna V; Subalakshmi Vu; and Dr. M. Siva Ramkumar.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention relates to an integrated AI-based stock market analysis and prediction system designed to facilitate intelligent investment decision-making through data-driven insights. The system utilizes real-time and historical stock data obtained from reliable financial sources such as Yahoo Finance and processes the data using machine learning algorithms to identify trends, patterns, and future price movements. The platform enables accurate prediction of stock behavior and generates actionable recommendations such as buy or sell signals, thereby assisting users in making informed financial decisions. The system further incorporates artificial intelligence capabilities using models such as Google Gemini API to provide natural language explanations for predictions. This enhances user understanding by offering clear insights into the reasoning behind the system’s recommendations. The platform includes a user-friendly web interface, backend processing layer, and machine learning engine, ensuring seamless interaction between data acquisition, analysis, and result presentation. Additionally, the system provides efficient communication between frontend and backend components, enabling real-time response and smooth workflow management. By integrating data retrieval, predictive modeling, and AI-driven explanation within a unified platform, the invention simplifies complex stock market analysis. This approach enhances accessibility, improves decision accuracy, and supports users with varying levels of financial expertise in making reliable investment choices.
Disclaimer: Curated by HT Syndication.
