MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641107334 A) filed by Hindustan Institute Of Technology And Science on September 07, 2026, for Stock Market Prediction Using Ml.
Inventors include Mithunraj J; and Karunambikai R.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The present invention relates to the field of artificial intelligence and financial data analytics, and more particularly to a computer-implemented stock market prediction system using machine learning and deep learning techniques. The invention provides an intelligent framework that acquires historical stock market data, preprocesses the data through cleaning, normalization, and feature selection, and generates predictive insights using multiple predictive models including Linear Regression, Support Vector Machine (SVM), Random Forest, and Long Short-Term Memory (LSTM) neural networks. The system performs comparative evaluation of the models and utilizes the most suitable prediction results to forecast future stock prices and market trends. The proposed framework is capable of capturing both linear and complex non-linear temporal relationships in financial time-series data, thereby improving prediction reliability. The invention further provides graphical visualization of stock trends, performance analysis, and decision-support information to assist investors, financial analysts, and institutions in making informed investment decisions while reducing financial risk. The modular architecture enables scalability, adaptability to different financial datasets, and integration with real-time market data sources, making the system suitable for practical deployment in intelligent financial forecasting applications..
Disclaimer: Curated by HT Syndication.
