MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202621089769 A) filed by Ramdeobaba University, Nagpur; Shri Ramdeobaba College Of Engineering And Management, Nagpur; Bani, Supriya Gupta; Rathi, Khushi; Khanke, Uttkarsh; and Vyas, Devesh on July 23, 2026, for A System For Hybrid Multi-Objective Optimized Stock Market Prediction With Constraint-Aware Outputs.
Inventors include Bani, Supriya Gupta; Rathi, Khushi; Khanke, Uttkarsh; and Vyas, Devesh.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The present invention relates to a system (100) for hybrid multi-objective optimized stock market prediction with constraint-aware outputs. The system (100) includes one or more processors (102), a memory (104), a data preprocessing module (10), a Seasonal AutoRegressive Integrated Moving Average (SARIMA) model (20), a residual extraction module (30), a Recurrent Neural Network (RNN) model (40), a hybrid prediction engine (50), a multi-objective optimization module (60), a constraint-aware output module (70), and a multi-feature prediction output module (80). The data preprocessing module (10) processes historical stock market data. The SARIMA model (20) generates a baseline forecast, and the residual extraction module (30) computes residual values. The RNN model (40) generates a residual forecast, and the hybrid prediction engine (50) combines the forecasts. The multi-objective optimization module (60) tunes parameters, while the constraint-aware output module (70) corrects financially inconsistent predictions.
Disclaimer: Curated by HT Syndication.
