MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641077798 A) filed by Nandha Engineering College on June 24, 2026, for Supervised Learning-Based Hybrid Model For Stock Market Trend Prediction.
Inventors include K Surendiran; D Yashwanth; and S Saradha.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: ABSTRACT OF THE INVENTION The present invention discloses a supervised learning-based hybrid stock market trend prediction system designed to improve stock market forecasting accuracy and reliability. The system integrates historical stock data analysis, technical indicator generation, financial news sentiment analysis, and supervised machine learning models into a unified platform. Historical OHLCV stock market data and financial news headlines are collected and processed for predictive analysis. Technical indicators such as SMA, EMA, RSI, MACD, and Bollinger Bands are generated for market trend identification, while VADER sentiment analysis is used to analyze financial news and derive sentiment scores. The system applies supervised learning techniques to process the hybrid dataset and predict next-day stock prices. Automated evaluation and visualization mechanisms provide investors and analysts with prediction results and performance insights. The invention reduces manual effort in stock market analysis, improves forecasting efficiency, enhances investment decision-making, and supports scalable deployment across local and cloud-based * financial systemsU, ERODE
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