Trade Order Interface With Theoretical Price Profitability Cues
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Solution Overview
Problem
Current trading systems provide insufficient information for traders to make informed decisions, lacking comprehensive profitability and risk analysis tools for complex financial instruments.
Innovation Solution
A system and method for processing trade orders that calculates a theoretical price based on market data and pricing parameters, compares proposed trades to this price, and visually displays profitability and risk indicators using a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If current trading systems only display basic market bid/ask data, then the system complexity remains low, but the information completeness for informed trading decisions deteriorates
Solution Approach 1:
The system segments information display into distinct visual components: market data indicators (bid/ask prices) are separated from the theoretical price indicator, and profitability indicators are separately calculated and displayed. This segmentation allows comprehensive information presentation while maintaining clear visual organization and manageable system complexity.
Solution Approach 2:
The system adds a new dimension to price display by introducing visual indicators that show the relationship between market prices and theoretical prices. Instead of only displaying numerical values, the system uses graphical indicators positioned relative to each other to convey profitability information, transforming one-dimensional price data into multi-dimensional visual information.
2Reliability
If trading systems provide comprehensive profitability and risk analysis, then trading decision quality improves, but the ease of operation deteriorates due to information overload
Solution Approach 1:
The system applies local quality by providing detailed profitability and risk analysis specifically at the point of trade decision-making. The graphical user interface displays profitability indicators and theoretical price comparisons locally near the trade entry points, allowing traders to access comprehensive analysis exactly where needed without being overwhelmed by global information overload.
Solution Approach 2:
The system creates visual copies of price information in multiple formats: numerical market bid/ask data is copied and displayed alongside graphical indicators representing theoretical prices. This copying allows traders to cross-reference different representations of the same underlying value, improving decision reliability without increasing operational complexity.
3Measurement precision
If the system calculates and displays theoretical price comparisons, then profitability assessment accuracy improves, but the processing time increases
Solution Approach 1:
The system performs preliminary calculation of theoretical prices based on pricing models and market data before the trader makes a decision. By pre-calculating and displaying the theoretical price indicators alongside market data, the system prepares profitability assessment information in advance, allowing rapid comparison when the trader evaluates a potential trade without time-consuming calculations at the moment of decision.
Data Source
AI summary
Systems and apparatus for processing a trade order include a computer configured for receiving market data for a financial asset, receiving pricing parameters and receiving proposed order quantity and price data. The computer is further configured for constructing proposed trades based on the proposed order quantity and price data, and for calculating a theoretical price for the financial asset based on the market data, pricing parameters as well as the proposed order price data. In addition, the computer is configured for comparing the constructed trades with the theoretical price, and displaying market data indicators relative to the theoretical price indicators based on the comparison.