Dynamic Date Set Extraction for Market Analysis

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Solution Overview

Problem

Current financial analysis tools are inadequate for handling complex data sets involving a wide variety of asset classes and sectors, limiting their ability to perform accurate analysis and collaboration among users, particularly in determining market conditions and trading strategies across diverse asset classes.

Innovation Solution

A method that involves receiving input for market instruments and parameters to extract time periods from data sets, displaying these periods on a graphical user interface, and storing market themes for further analysis, enabling users to perform various types of market analysis, such as correlation and regression analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If currently available analysis tools (e.g., spreadsheet applications) are used to handle complex data sets involving a large number of asset classes, then ease of operation is maintained, but measurement precision and reliability of analysis deteriorate

Engineering Contradiction:

Improveanalysis accuracyVSAvoidtool complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the complex analysis task into distinct components: data retrieval module, date set computer module, and analysis engine. Each module handles specific functions independently, allowing the system to process complex multi-asset class data with high precision while maintaining manageable operational complexity through modular architecture.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary analysis system that sits between raw market data and user interpretation. This intermediary automatically retrieves data, computes date sets based on market conditions, and performs correlations, eliminating the need for users to manually handle complex computations while preserving ease of operation.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If currently available analysis tools are used for complex analysis across diverse asset classes, then device complexity remains low, but loss of information and measurement precision worsen

Engineering Contradiction:

Improveanalysis accuracyVSAvoidinformation loss

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The system implements a universal analysis platform that can handle multiple asset classes (stocks, bonds, commodities, currencies) and various market conditions through a single multi-functional system. The date set computer can process different types of financial data and apply various analytical methods, preventing information loss by accommodating diverse data types without requiring separate specialized tools.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent replaces manual mechanical analysis processes with automated computational systems. The date set computer automatically retrieves data, processes market conditions, and computes correlations without manual intervention, eliminating information loss that occurs during manual data handling and ensuring precise measurement across all asset classes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If currently available analysis tools are used, then ease of operation is maintained, but the ability to perform accurate analysis across a wide variety of asset classes deteriorates

Engineering Contradiction:

Improveasset class coverageVSAvoiduser operation difficulty

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system implements dynamic adaptability where the date set computer can automatically adjust to different asset classes and market conditions. The system dynamically retrieves appropriate data, applies relevant computational methods, and generates accurate analyses for any asset class without requiring users to manually reconfigure complex parameters, thus maintaining ease of operation while achieving high versatility.

Inventive Principle:

Principle #15Dynamics

4Productivity

If currently available analysis tools are used, then device complexity is low, but productivity and analysis capability deteriorate

Engineering Contradiction:

Improveanalysis capabilityVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by automatically retrieving data and pre-computing date sets based on market conditions before the user initiates analysis. This preliminary processing enhances productivity by having results ready when needed, while the automated nature of these preliminary actions prevents the system from becoming overly complex from manual configuration requirements.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS8326727B2Generating dynamic date sets that represent market conditions

Publication Date: 2012.12.04 PALANTIR TECHNOLOGIES INC

AI summary

In one embodiment, first input that specifies a market instrument is received. Second input that specifies one or more parameters for one or more date set computers associated with the market instrument is received. A first time series is received from a data repository, where the first time series is a sequence of data values associated with the market instrument. A set of time periods is extracted by applying the one or more date set computers based on the one or more parameters and the first time series. The set of time periods is displayed overlaid on a graphical representation of the first time series in a graphical user interface.