Graphical Display With Integrated Recent Period Zoom and Historical Context
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Solution Overview
Problem
Existing graphical display systems for electronic trading environments struggle to simultaneously provide detailed recent period data and historical context due to screen size limitations, leading to either insufficient detail in longer time ranges or wasteful use of space with multiple graphs, which complicates user understanding of market trends.
Innovation Solution
A graphical interface that divides the axis into multiple regions with different linear scales, forming a continuous non-linear scale axis, allowing for the display of both historical and recent time series data in a single integrated chart, with customizable regions and scales to optimize detail and space usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single linear time scale chart is used to display long-term historical data, then the historical context is provided, but the recent period detail is lost due to screen size limitations
Solution Approach 1:
The time axis is segmented into multiple regions, each displaying data at different time scales. The recent period is displayed with fine-grained detail while historical data is displayed at coarser intervals, allowing both detailed recent analysis and broad historical context to coexist on the same chart without requiring additional screen space.
Solution Approach 2:
Different portions of the chart have different levels of detail. The recent time period region uses high-resolution scaling to show minute-by-minute or second-by-second data, while the historical region uses lower-resolution scaling appropriate for the longer time spans, optimizing the use of available screen real estate.
2Loss of information
If multiple separate graphs are used to display both recent and historical data, then both time ranges are visible, but the device complexity and cognitive workload increase
Solution Approach 1:
Multiple time scale charts are merged into a single integrated chart that displays both recent and historical data on one continuous axis. This eliminates the need for multiple separate graphs while maintaining both detailed recent period information and broader historical context, reducing cognitive workload and interface complexity.
Solution Approach 2:
The single chart serves multiple functions simultaneously: it displays recent high-frequency data for detailed analysis, provides historical low-frequency data for context, and enables users to compare different time periods within one unified interface, replacing what would traditionally require multiple specialized charts.
3Adaptability or versatility
If the time axis uses uniform linear scaling, then the chart is simple to implement, but it cannot accommodate both short-term and long-term data effectively
Solution Approach 1:
The time axis scaling is made dynamic rather than static. Each region of the chart can independently adjust its time scale based on the data being displayed, allowing the chart to adapt to different time ranges automatically. This enables effective display of both short-term and long-term data without requiring a completely complex redesign of the axis mechanism.
Data Source
AI summary
A system and method are provided for displaying a data series. In one embodiment, a graphical interface is provided including at least one axis that is divided into a plurality of axis regions. Preferably, each axis region uses a different linear scale, and the plurality of axis regions forms a continuous non-linear scale. The graphical interface also displays the data series in relation to the plurality of axis regions, and the data series is plotted in relation to each axis region based on a scale resolution corresponding to each respective axis region.