Unknown Organization (20240265047). GENERATIVE AI SYSTEMS AND METHODS FOR SECURITIES TRADING simplified abstract
Contents
GENERATIVE AI SYSTEMS AND METHODS FOR SECURITIES TRADING
Organization Name
Inventor(s)
Brian Mccarson of Chandler AZ (US)
GENERATIVE AI SYSTEMS AND METHODS FOR SECURITIES TRADING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240265047 titled 'GENERATIVE AI SYSTEMS AND METHODS FOR SECURITIES TRADING
The abstract of the patent application describes generative AI systems and methods that provide recommendations on whether to buy, sell, or hold a particular security associated with a corporate entity and/or its competitors based on available data sources. It also outlines a consistent, semantic metadata structure and a hypothesis generating and testing system for predictive analytics models.
- The patent application focuses on generative AI systems for making investment recommendations.
- It includes a semantic metadata structure for organizing data and a system for hypothesis generation and testing.
- The AI system can generate predictive analytics models in a non-supervised or partially supervised mode.
- Users can subscribe to the data for use in economic forecasting.
- The technology aims to assist users in making informed decisions about securities investments.
Potential Applications: The technology can be used in financial services for investment decision-making. It can also be applied in economic forecasting and market analysis.
Problems Solved: The technology addresses the challenge of analyzing large amounts of data to make investment decisions. It provides a structured approach to generating and testing hypotheses for predictive analytics models.
Benefits: Users can receive recommendations on securities investments based on data analysis. The technology can improve the accuracy and efficiency of investment decision-making processes.
Commercial Applications: The technology can be used by financial institutions, investment firms, and individual investors for making informed investment decisions. It has implications for the financial services industry in terms of improving investment strategies and outcomes.
Questions about the technology: 1. How does the AI system analyze data to provide investment recommendations? The AI system uses a range of available data sources to analyze trends and patterns in securities markets, generating recommendations based on this analysis.
2. What sets this technology apart from traditional investment analysis methods? This technology leverages AI algorithms to process large amounts of data quickly and efficiently, providing users with data-driven recommendations for securities investments.
Original Abstract Submitted
generative ai systems and methods are provided to provide recommendations as to whether a particular security associated with a corporate entity and/or its competitors should be purchased, sold, or held, as determined from a range of available data sources. a consistent, semantic metadata structure is described as well as a hypothesis generating and testing system capable of generating predictive analytics models in a non-supervised or partially supervised mode. users may then subscribe to the date for the use in economic forecasting.
