Intellectual Property India Publishes Patent Application for 'Real-Time Stock Price Forecasting Web Application: A Deep Learning Approach With LSTM Network' Filed by R. D. Engineering College; Vivek Singh; and Syed Naushad Imam

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611025038 A) filed by R. D. Engineering College; Vivek Singh; and Syed Naushad Imam, Ghaziabad, Uttar Pradesh, on March 3, for 'real-time stock price forecasting web application.'

Inventor(s) include R. D. Engineering College; Vivek Singh; and Syed Naushad Imam.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to a real-time stock price prediction system implemented as a web based application using Long Short-Term Memory (LSTM) neural networks. The system retrieves historical and real-time financial data, preprocesses the data, and continuously retrains the prediction model to adapt to changing market conditions. Recursive forecasting enables user defined prediction horizons. Predicted results are explained through comparison with recent average values and displayed using interactive and animated time-series visualizations. The invention provides an adaptive and interpretable solution for stock price forecasting and financial decision support."

Disclaimer: Curated by HT Syndication.