MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641086817 A) filed by Dr. Nalabalapu Suman; Vadicherla Rakesh Datta; Dr. Aruna S; Padma Nivedha M; Dr. Subbarayudu Thunga; Dr. Neeti Misra; Dr. Pendurthy Anthony Sunny Dayal; Dr. S Durga; Dr. Dasari Rajesh Babu; Urlam Pranita; R. Mahima; and Sangeetha. R. C on July 15, 2026, for Intelligent Artificial Intelligence Platform For Predictive Stock Market Analytics And Financial Decision Automation.
Inventors include Dr. Nalabalapu Suman; Vadicherla Rakesh Datta; Dr. Aruna S; Padma Nivedha M; Dr. Subbarayudu Thunga; Dr. Neeti Misra; Dr. Pendurthy Anthony Sunny Dayal; Dr. S Durga; Dr. Dasari Rajesh Babu; Urlam Pranita; R. Mahima; and Sangeetha. R. C.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The current invention presents an Intelligent Artificial Intelligence Platform for Predictive Stock Market Analytics and Financial Decision Automation, which amalgamates Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Reinforcement Learning (RL), Explainable Artificial Intelligence (XAI), and cloud computing technologies to deliver sophisticated stock market predictions and automated investment decision assistance. The website aggregates real-time and historical financial data from several sources, including stock exchanges, corporate financial statements, economic indicators, financial news, and social media platforms. A data preprocessing module executes data cleaning, normalisation, feature extraction, and data integration prior to utilising hybrid AI models, including Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Transformer Networks, Convolutional Neural Networks (CNN), Random Forest, XGBoost, and Ensemble Learning algorithms. The system additionally integrates sentiment analysis, technical and fundamental analysis, portfolio optimisation, and risk assessment to produce precise market forecasts and tailored Buy, Hold, or Sell recommendations. An Explainable Artificial Intelligence (XAI) module offers confidence scores and comprehensible explanations for each prediction, thereby augmenting transparency and user trust. The cloud-based architecture facilitates secure, scalable, and real-time financial analytics, enhancing prediction accuracy, reducing investment risks, optimising portfolio performance, and enabling automated intelligent financial decision-making for individual investors, financial institutions, broking firms, and wealth management organisations.
Disclaimer: Curated by HT Syndication.
