Interactive Options Graph with Pre-computed Strike Data
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Solution Overview
Problem
Existing systems for generating graphics displays of options trading are computationally expensive, particularly when users need to zoom in and out or change strike prices, as they require frequent re-generation of result graphs, leading to inefficiencies in analyzing profit and loss scenarios.
Innovation Solution
A system with a processor and memory that pre-loads option data for a range of strike prices, allowing users to interactively adjust the strike price using a movable user interface element, updating the graph without re-rendering by determining and plotting result values based on user input, and maintaining a consistent aspect ratio through dynamic axis adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If result graphs are re-generated when users zoom in/out or change strike prices, then the graph displays updated information, but computational cost increases significantly
Solution Approach 1:
The system pre-calculates and stores option data for multiple strike prices before the user needs them. When a user changes strike price or zooms, the system retrieves pre-computed data instead of recalculating, eliminating redundant computational work while maintaining responsive graph updates
Solution Approach 2:
The system computes and stores option data selectively for specific strike prices that are likely to be viewed, rather than computing all possible strike prices. This localized pre-computation approach reduces memory usage while still providing fast responses for common user interactions
2Loss of information
If a different result graph is generated when changing strike price, then the graph reflects the new option parameters, but the process becomes computationally expensive
Solution Approach 1:
The system pre-computes option data for multiple strike prices and stores them in memory. When a user changes strike price, the system retrieves the pre-computed data for that strike price rather than recalculating, ensuring accurate option data while avoiding redundant computation
Solution Approach 2:
The system creates and stores copies of option data for different strike prices in advance. These pre-computed copies are then rapidly retrieved and displayed when users change strike prices, eliminating the need for repeated calculations while maintaining data accuracy
3Productivity
If the system pre-loads option data for multiple strike prices, then user interaction speed improves, but memory usage increases
Solution Approach 1:
The system pre-loads option data selectively for specific strike prices that are most relevant to the current view and user needs, rather than loading all possible strike prices. This localized data loading approach improves response speed for common operations while limiting memory consumption to only the necessary data subset
Data Source
AI summary
A system includes instructions for execution by at least one processor. The instructions include, in response to receiving user input for a result graph request, determining a horizontal axis range and a vertical axis range. The instructions include obtaining and storing option data corresponding to an option for a stock identifier, receiving a first location of a movable user interface element, identifying a first strike price based on the first location of the movable user interface element, and obtaining a first option based on the first strike price. The instructions include determining a result value of the first option based on a projected price of the first option. The instructions include plotting, on a result graph, the result value for each integer of the horizontal axis range. The instructions include, in response to the movable user interface element being moved to a second location, updating the result graph.