Order Marketability Visualization for Trading Systems
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Solution Overview
Problem
Complex trading strategies involving multiple financial instruments complicate decision-making due to the multiplicity of relevant values and instruments, necessitating a more efficient presentation of market information to facilitate timely trading.
Innovation Solution
A computer-based system that displays marketability graphs and signal strength indicators to help users quickly identify the most attention-worthy orders by presenting marketability information through a unified interface, using static markers for passive and aggressive prices to represent the range within which orders can be executed, and dynamic markers for the order price relative to these static markers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed information about multiple instruments and order parameters is displayed, then decision-making accuracy is improved, but decision-making speed deteriorates
Solution Approach 1:
The patent extracts and highlights only the most critical order parameters (passive price, aggressive price, and order price) from the complex set of available market data. By selectively displaying only these essential price parameters rather than all possible instrument details, the system enables users to quickly assess order marketability without being overwhelmed by redundant information, thus resolving the contradiction between accuracy and speed.
Solution Approach 2:
The patent employs visual differentiation through color coding to represent the relationship between order prices and market prices. Different color markers indicate whether an order is aggressive, passive, or at market price, allowing users to instantly grasp order characteristics at a glance. This visual encoding transforms complex numerical relationships into intuitive visual patterns, enabling rapid decision-making while maintaining accuracy.
2Loss of information
If multiple order parameters and instrument details are presented, then information completeness is improved, but interface complexity increases
Solution Approach 1:
The patent merges multiple order parameters (passive price, aggressive price, order price) and instrument information into a unified graphical representation. Instead of displaying these parameters as separate text fields, the system combines them into integrated visual markers and relationships on a single interface, reducing the number of discrete elements while preserving all necessary information and simplifying the user experience.
Solution Approach 2:
The patent creates a universal graphical framework that can represent different order types and instrument combinations using the same set of visual markers and relationships. This multi-functional visualization system handles diverse order parameters through a consistent visual language, eliminating the need for separate display mechanisms for each order type and reducing overall interface complexity.
3Measurement precision
If comprehensive market information is displayed for all orders, then order assessment accuracy is improved, but time to assess orders increases
Solution Approach 1:
The patent segments the order assessment task into distinct visual components: passive price markers, aggressive price markers, and order price markers. Each segment represents a specific aspect of order marketability that can be independently perceived. By dividing the complex assessment into discrete visual segments, users can quickly process each component and synthesize the overall assessment without needing to review all detailed order information sequentially.
Data Source
AI summary
Systems and methods may provide tools for uniformly visualizing a series of one or more orders, wherein orders of vastly different prices, order types, and order assets may be commingled on the same display screen. Such a collection of tools may be sorted for display. The displays may be buy/sell independent, handle any size bid/ask spread, and allow easy determination of the relative marketability of each order. Such systems and methods may help a user to focus on orders requiring the most attention.