AI Financial Index Analysis for Accessible Fair Value Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Individual investors face difficulties in understanding complex financial statements and interpreting financial indicators due to a lack of accounting knowledge, making it hard to assess investment risks and determine long-term trends, while existing securities services provide specialized information that is not accessible or effective for new investors.
Innovation Solution
A device and method that preprocesses financial data to generate training data, utilizes machine learning to predict value evaluation indices, and provides user-customized analysis through a service module, offering intuitive reports and automatic trading services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If financial statements and indicators are provided in detailed numerical form, then measurement precision is improved, but ease of operation deteriorates for individual investors
Solution Approach 1:
The patent introduces an AI analysis module as an intermediary between raw financial data and individual investors. This module automatically processes complex financial statements, calculates key indicators, and generates interpretable analysis reports, thereby maintaining measurement precision while eliminating the need for investors to directly interpret numerical data
Solution Approach 2:
The patent replaces the mechanical process of manual financial analysis with automated AI-based analysis. Instead of investors manually calculating financial ratios and interpreting statements, the system uses machine learning models to perform these tasks automatically, substituting complex computational mechanics with intelligent automation
2Manufacturing precision
If specialized financial indicators are provided, then manufacturing precision is improved, but device complexity increases for service platforms
Solution Approach 1:
The patent segments the complex financial analysis process into distinct functional modules: data collection module, preprocessing module, AI analysis module, and service provision module. Each module handles specific tasks, allowing the system to maintain high analysis accuracy while reducing overall platform complexity through modular design
Solution Approach 2:
The patent creates a universal AI analysis module that can handle multiple types of financial data and generate various analysis reports using the same core technology. This multi-functional approach allows the service platform to provide comprehensive investment analysis without requiring separate specialized systems for each analysis type
Data Source
AI summary
A device of providing an investment value evaluation service according to one embodiment of the present disclosure may include a preprocessing module that processes financial data for each company or asset collected from a market server to generate training data including figures for each preset financial indicator; an analysis module that is constructed through the training of a preset machine learning model using the training data to predict a value evaluation index for each company or asset, and output analysis data based on the predicted value evaluation index; and a service providing module that processes analysis data for a specific company or asset output from the analysis module according to an analysis request from a user terminal to provide investment value evaluation data to the user terminal, wherein the value evaluation index is a fair price representing an upside potential in the value of a company or asset according to the figures for each financial indicator compared to a current price.