MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641124740 A) filed by Dr. D. Swetha; Dr Jiju Mathew John; Sudha Singaraju; Dr. Gincy Jiju Mathew; Dr. Banothu Yedukondala Venkata Naga Raja Swamy; M Angelin Ponrani; Dr. Krunal Parekh; Ismatha Begum; Marydayana A; S Durgaprasad; Dr. Animesh Kumar Sharma; and Anvesh Perada on October 19, 2026, for Machine Learning System For Stock Market Trend Prediction And Dynamic Investment Optimization.
Inventors include Dr. D. Swetha; Dr Jiju Mathew John; Sudha Singaraju; Dr. Gincy Jiju Mathew; Dr. Banothu Yedukondala Venkata Naga Raja Swamy; M Angelin Ponrani; Dr. Krunal Parekh; Ismatha Begum; Marydayana A; S Durgaprasad; Dr. Animesh Kumar Sharma; and Anvesh Perada.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: The current invention pertains to a machine learning framework aimed at forecasting stock market trends and optimizing investments dynamically. The system gathers and verifies financial data, creates analytical features, and employs one or more machine learning models to predict market trends and associated financial variables. A reliability indicator is established by an uncertainty assessment module, whereas a market-regime module offers contextual details about current market conditions. A portfolio optimization engine merges forecast results with existing holdings, asset-risk evaluations, transaction expenses, and set investment limits to determine potential allocation weights. A responsive rebalancing component examines prospective and existing allocations while assessing if a suggested adjustment meets established criteria concerning anticipated advantage, forecast accuracy, risk exposure, and implementation expense. A feedback and monitoring module assesses predictions against later observed results and facilitates systematic model evaluation and revision. The system offers traceable suggestions for portfolio allocation in computer-aided investment analysis, adhering to relevant authorization and regulatory standards. FIG.1
Disclaimer: Curated by HT Syndication.
