Advanced Systems and methods for determining An exemplary system Future Evolutions & Paradigm Shifts System

Publication ID: 26-US11954734B2_0010_PTD
Published: January 17, 2026
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Systems and methods for determining An exemplary system Future Evolutions & Paradigm Shifts System,” Published Technical Disclosure No. 26-US11954734B2_0010_PTD, Published January 17, 2026, available at https://archive.pr1or.art/26-US11954734B2_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 119,547,342.

Summary of the Inventive Concept

A sophisticated Systems and methods for determining An exemplary system solution that integrates future evolutions & paradigm shifts methodologies to address specific technical challenges in Systems domain.

Background and Problem Solved

The source patent Systems and methods for determining An exemplary system addresses core functionality, but future evolutions & paradigm shifts presents opportunities for technical enhancement and expansion in this domain.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements future evolutions & paradigm shifts enhancements to the original Systems and methods for determining An exemplary system technology. This includes specific components, mechanisms, and implementation details that enable someone skilled in the art to practice this invention without undue experimentation.

Novelty and Inventive Step

Introduces new technical features and approaches that were not present in the source patent, specifically targeting future evolutions & paradigm shifts improvements for Systems and methods for determining An exemplary system systems.

Alternative Embodiments and Variations

Multiple technical implementation approaches for future evolutions & paradigm shifts that provide flexibility while maintaining the core inventive concept of Systems and methods for determining An exemplary system.

Potential Commercial Applications and Market

Broad market applicability across industries that can benefit from future evolutions & paradigm shifts enhancements to Systems and methods for determining An exemplary system technology.

CPC Classifications

SectionClassGroup
G G06 G06Q40/06

Field of Art

Financial technology and computational risk analysis systems, specifically focused on financial product margin determination and risk factor simulation, requiring expertise in quantitative finance, computational modeling, and financial data processing

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degrees in financial engineering, computer science, or quantitative finance, possessing expertise in computational risk modeling, statistical simulation techniques, and financial data processing systems, with 3-5 years of industry experience in developing financial risk assessment technologies

Obviousness Rationale

A person having ordinary skill in the art would recognize that the PTD's disclosed future evolutions and paradigm shifts represent predictable extensions of the source patent's core technological framework for financial risk simulation and margin determination. The variations introduce incremental technical improvements that leverage known computational techniques and design methodologies within financial technology systems. These modifications would be considered routine optimization and design choices for a skilled practitioner familiar with computational risk analysis technologies.

Obvious Combinations & Variations

Source Patent Element
Generating synthetic data comprising simulated pricing information
PTD Variation
Implementing advanced machine learning algorithms to enhance synthetic data generation with predictive modeling techniques
Obviousness Reasoning
Applying machine learning to synthetic data generation represents a known technique for improving computational simulation accuracy, constituting a predictable result within financial modeling systems
Source Patent Element
Grouping synthetic data, risk factor data, and additional data into buckets based on criteria
PTD Variation
Introducing dynamic multi-dimensional clustering algorithms for more granular and adaptive data categorization
Obviousness Reasoning
Developing more sophisticated data bucketing approaches is a standard design optimization strategy that would be obvious to a skilled practitioner seeking improved computational efficiency
Source Patent Element
Risk factor simulation process involving financial product data
PTD Variation
Incorporating real-time external market data streams to enhance risk factor simulation accuracy and responsiveness
Obviousness Reasoning
Integrating additional data sources to improve computational modeling represents a standard technique for enhancing predictive capabilities in financial risk assessment systems
Source Patent Element
Computing device executing risk factor simulation processes
PTD Variation
Implementing distributed computing and cloud-based architectures to scale computational simulation capabilities
Obviousness Reasoning
Leveraging distributed computing technologies for computational scaling is a well-established approach in financial technology systems, representing an obvious technical evolution
35 U.S.C. § 103 Summary: Based on the teachings of US Patent US11954734B2 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking non-obvious inventive merit. The published technical disclosure demonstrates that the proposed system enhancements represent routine optimization and predictable technological extensions within the domain of financial risk assessment computational systems, thereby rendering potential patent claims obvious and unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 119,547,342
TitleSystems and methods for determining an initial margin