MUMBAI, India, Sept. 7 -- Intellectual Property India has published a patent application (202641104366 A) filed by Dr. Harish N; Dr. M. Kathiravan; and Dr. R. K. Prema on August 30, 2026, for A System For Machine Learning Based Real-Time Stock Market Trend Prediction.
Inventors include Dr. Harish N; Dr. M. Kathiravan; and Dr. R. K. Prema.
The application for the patent was published on September 04, 2026, under issue no. 36/2026.
Abstract: The present invention discloses a machine learning framework for real-time stock market trend prediction integrating multi-source financial and sentiment data within a hybrid multi-model architecture. The system comprises a market data acquisition subsystem continuously acquiring price, volume, news, and social media streams, operatively coupled to a technical indicator subsystem computing RSI, MACD, and Bollinger Bands, and a sentiment analysis subsystem generating polarity scores through natural language processing. A data fusion subsystem merges time-aligned features into unified input tensors processed by a hybrid prediction engine combining LSTM, Random Forest, XGBoost, and transformer models through weighted ensemble fusion. A signal generation subsystem converts probability outputs into Buy, Sell, and Hold trading signals with confidence scores. A monitoring subsystem detects model drift and executes incremental retraining. The framework provides improved prediction accuracy, enhanced real-time signal reliability, reduced decision latency, and robust multi-source integration for active stock market trading applications.
Disclaimer: Curated by HT Syndication.
