MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202611101793 A) filed by Iimt College Of Management on August 23, 2026, for An Adaptive Deep Learning Framework For Volatility-Aware Bitcoin Price Prediction.
Inventors include Mr. Sachin Kumar; Dr. Abhaya Nand; and Mr. Jitendra Kumar.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The present disclosure relates to a system (100) and a computer-implemented method (200) for volatility-aware Bitcoin price prediction. The system (100) comprises a data acquisition unit (102) configured to receive financial information associated with a Bitcoin market, a volatility analysis unit (104) configured to generate a market volatility profile, an adaptive prediction unit (106) configured to dynamically modify prediction model parameters according to the market volatility profile and generate predicted Bitcoin prices using a hybrid deep learning model, and an output management unit (108) configured to generate prediction results. The method (200) comprises receiving market information (202), determining market volatility (204), adaptively modifying prediction parameters and generating predicted Bitcoin prices (206), and generating prediction results (208). The disclosed framework improves forecasting robustness by continuously adapting prediction behaviour according to changing market volatility.
Disclaimer: Curated by HT Syndication.
