MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641097270 A) filed by Anurag University on August 12, 2026, for An Ai-Powered Stock Market System Using Apis For Real-Time Data And Neural Networks For Prediction.
Inventors include Dr. P. Rajeshwari; T. Venkata Subbamma; Dr. M. Sridevi; A. Sai Chaitanya; D. Aditya; V. Mohan; and K. Sandeep.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: ABSTRACT The present invention relates to an AI-powered stock market system (100) using APIs for real-time data and neural networks for prediction. The system (100) comprises dynamic API sources (102) configured to provide real-time streaming data, a dynamic API streaming engine (104) configured to ingest and manage the streaming data, and a volatility-aware feature recalibration unit (106) configured to identify volatility conditions and dynamically recalibrate feature representations. An adaptive normalized features module (108) generates normalized feature data for processing by a hybrid memory-augmented neural core (110) comprising an LSTM- based recurrent processing unit (110A) and a hybrid memory mechanism (110B). An autonomous model reconfiguration engine (112) performs model adaptation and controlled retraining based on prediction performance. A low-latency distributed execution layer (114) enables parallel processing across distributed computational nodes. A visualization and output interface (116) displays real-time stock market data and neural network-generated prediction outputs, thereby enabling adaptive and efficient real-time stock market prediction. The figure associated with the abstract is Fig. 1.
Disclaimer: Curated by HT Syndication.
