3D Cubic Data Visualization for Financial Portfolio Analysis
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Solution Overview
Problem
Current data visualization methods for financial and industrial applications rely on two-dimensional representations, which require multiple screens and reports to understand portfolio allocation and performance, lacking the ability to effectively display complex data in a hierarchical and interactive manner.
Innovation Solution
A processor-based system that enables true three-dimensional data representation using a cubic structure with spherical and cylindrical icons, allowing users to interactively explore and interpret data through mouse movements, color, hue, intensity, query/search, and animation functions, while maintaining secure internet compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If two-dimensional charts and graphs are used to display financial portfolio data, then data can be displayed on standard screens, but multiple screens and reports are required to obtain full appreciation of portfolio allocation and performance
Solution Approach 1:
The patent transforms traditional two-dimensional financial data visualization into a three-dimensional cubic structure. Each dimension of the cube represents a different aspect of portfolio data (e.g., asset class, time period, performance metric), allowing comprehensive portfolio information to be displayed in a single visual structure rather than requiring multiple screens and reports.
2Illumination intensity
If quasi-three dimensional images are used to visually enhance displayed information, then depth perspective is provided, but the depth provides no additional information
Solution Approach 1:
Rather than using pseudo-3D effects that merely add visual depth without informational value, the patent implements true three-dimensional visualization where each spatial dimension encodes meaningful portfolio data. The cubic structure allows users to navigate and analyze portfolio characteristics across three independent dimensions simultaneously.
Solution Approach 2:
The patent incorporates color coding to represent different portfolio attributes such as asset classes, performance levels, or risk categories. This visual encoding allows users to quickly distinguish and analyze different portfolio components without requiring additional screens or reports.
3Quantity of substance
If traditional 2D line graphs are used to display portfolio data, then price and volume information can be shown, but additional data must be overlaid to depict status and decision points
Solution Approach 1:
The cubic visualization integrates multiple data types (price, volume, performance metrics, asset class information) along the three spatial dimensions of the cube, eliminating the need for multiple overlaid graphs. Each dimension can represent a different data category, allowing comprehensive portfolio analysis in a single unified display.
Solution Approach 2:
Different portfolio data elements are represented through color coding within the cubic structure, allowing users to distinguish between various data types (e.g., different asset classes, performance levels) without requiring separate graphs or overlays.
Data Source
AI summary
A system and methodology for displaying a dynamic, multi-dimensional representation of a database via an internet coupled processor and associated hardware. A browser enabled applet communicates with internet database server(s). Hierarchies of account users are able to program display parameters and view and edit data contained in multiple authorized databases (e.g. financial or investment portfolios). A three-dimensional geometric display (e.g. Cube) is populated with real time position and multi-position group data obtained from available database servers. The system is responsive to user commands to three-dimensionally display the multi-tiered, multi-dimensional data in a presently preferred 3D Cubic form as well rotate the display to other 3D and 2D orientations and to display associated alphanumeric, text and/or 2D graphic data.