Nowcasting.ai, Inc. (20240346585). MULTI-MODEL, MULTI-STAGE APPROACH TO GENERATING TRADING STRATEGY simplified abstract

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MULTI-MODEL, MULTI-STAGE APPROACH TO GENERATING TRADING STRATEGY

Organization Name

Nowcasting.ai, Inc.

Inventor(s)

Damiàn Ariel Scavo of Menlo Park CA (US)

MULTI-MODEL, MULTI-STAGE APPROACH TO GENERATING TRADING STRATEGY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346585 titled 'MULTI-MODEL, MULTI-STAGE APPROACH TO GENERATING TRADING STRATEGY

The abstract describes a method for generating personalized investment responses using artificial intelligence models and real-time market data.

  • The processor receives input from a user, which can be in the form of text or audio prompts.
  • The input is processed using an AI model to extract information.
  • A variety of responses are generated using generative AIs with the extracted information as input.
  • The responses are connected to real-time market data and exclusive datasets to enhance quality and relevance.
  • Finally, a personalized investment recommendation is generated for the user based on the responses.
      1. Potential Applications:

- Personalized financial advice - Investment portfolio management - Risk assessment in investment decisions

      1. Problems Solved:

- Providing tailored investment recommendations - Utilizing AI to process user input effectively - Enhancing the quality and relevance of investment advice

      1. Benefits:

- Improved user experience - Increased accuracy in investment decisions - Time-saving for users in managing investments

      1. Commercial Applications:

"Personalized Investment Recommendation Generator: Enhancing User Experience and Decision-Making in Financial Investments"

      1. Questions about Personalized Investment Recommendation Generator:

1. How does the AI model process user input to generate personalized investment recommendations? 2. What sets this method apart from traditional investment advisory services?

1. **How does the AI model process user input to generate personalized investment recommendations?** The AI model processes user input by extracting information and generating a variety of responses based on that input. These responses are then connected to real-time market data to enhance their quality and relevance, ultimately leading to a personalized investment recommendation for the user.

2. **What sets this method apart from traditional investment advisory services?** This method stands out from traditional investment advisory services by leveraging artificial intelligence models to process user input and generate personalized recommendations. By connecting these responses to real-time market data, the system can provide more accurate and relevant investment advice to users.


Original Abstract Submitted

a method for generating personalized investment responses that includes receiving, by a processor, input from a user, the input comprising at least one of a text prompt or an audio prompt; processing, by the processor, the input using a first artificial intelligence (ai) model to generate extracted information; generating, by the processor, a plurality of responses using generative ais with the extracted information as input; connecting, by the processor, the plurality of responses to real-time market data and exclusive datasets to improve quality and relevance of the plurality of responses; and generating, by the processor, a personalized investment recommendation to the user based on the plurality of responses.

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