MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202621080974 A) filed by Symbiosis International Deemed University on June 30, 2026, for Ai-Driven Multi-Model Stock Portfolio Analysis And Optimization System.
Inventors include Utkarsh Shankar; Ishaan Naik; Abhay Chaturvedi; Ishan Sharma; Dr. Rahesha Mulla; and Dr. Sheetal Borhade.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: ABSTRACT AI-DRIVEN MULTI-MODEL STOCK PORTFOLIO ANALYSIS AND OPTIMIZATION SYSTEM The present invention discloses an artificial intelligence driven multi-model stock portfolio analysis and optimization system (100) that integrates a plurality of machine learning and deep learning models for unified stock market prediction, risk quantification, and portfolio optimization. The system (100) comprises a data ingestion module (110), a feature engineering module (120), a multi-model AI prediction engine (130) employing LSTM networks, XGBoost, LightGBM, Random Forest, Logistic Regression, ARIMA, and Prophet models, an unsupervised learning module (140) for market regime detection, an anomaly detection module (150) using Isolation Forest, an ensemble consensus engine (160) for aggregating predictions with confidence scoring, a risk intelligence engine (170) computing Value at Risk, Sharpe Ratio, Sortino Ratio, Beta, Alpha, and Maximum Drawdown, an NLP sentiment analysis module (180), a reinforcement learning module (185) for dynamic asset allocation, and a report generation module (190) producing structured analytical reports [
Disclaimer: Curated by HT Syndication.
