Graphical Pattern Matching for Financial Trend Prediction
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Solution Overview
Problem
Financial market traders face inconsistent and unreliable predictions due to the complexity and volume of instrument-related data, and existing solutions are costly and inaccessible to common traders, lacking the ability to analyze user-defined patterns for predictive analysis.
Innovation Solution
A computer-implemented method that allows users to define graphical patterns interactively, identify matches in time-dependent data, and visualize these matches with confidence measures, using a graphical user interface on a computing device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If large and sophisticated server farms with resource intensive algorithms are used to determine significant patterns, then prediction reliability is improved, but cost and device complexity increase significantly making it inaccessible to common traders
Solution Approach 1:
The patent extracts the essential pattern recognition functionality from complex server farm systems and implements it in a simplified form that can run on common trading devices. The system identifies and implements only the critical pattern matching operations needed for reliable predictions, leaving out the excessive computational infrastructure that creates complexity and cost barriers.
Solution Approach 2:
The patent creates a simplified copy of the pattern recognition capability that replicates the essential predictive function without requiring the full complexity of sophisticated server farms. By copying only the necessary algorithmic logic and implementing it efficiently, the system achieves reliable predictions on accessible hardware.
2Measurement precision
If sophisticated algorithms are used to analyze instrument-related data, then prediction accuracy is improved, but the complexity and amount of data become overwhelming and difficult to interpret
Solution Approach 1:
The system extracts only the essential pattern recognition operations from complex analytical algorithms, removing unnecessary computational steps that generate overwhelming data. By focusing on core pattern matching between historical and current data, the system maintains prediction accuracy while simplifying the analytical process and resulting data interpretation.
3Adaptability or versatility
If existing pattern recognition solutions are implemented, then predictive analysis capability is improved, but the ability to analyze user-defined patterns is lost
Solution Approach 1:
The patent implements a dynamic pattern recognition system that can adapt to user-defined patterns while maintaining reliable predictive analysis. The system allows users to define custom patterns and dynamically adjusts the pattern matching process to analyze these user-defined patterns against historical data, providing both flexibility and predictive reliability.
Data Source
AI summary
The disclosure includes technology for receiving, via the pattern definition region and an input device of the computing device, one or more selections defining a user-defined graphical pattern; determining two or more matches between the user-defined graphical pattern and one or more corresponding portions of retrieved time-dependent data; presenting, in the graphical user interface on the display device, a chart region including a data visualization graphically representing the retrieved time-dependent data and the two or more graphical indicators; and highlighting at different points of time in the chart region of the graphical user interface the two or more matches between the user-defined graphical pattern and two or more corresponding portions of the retrieved time-dependent data.