Transaction Toggler Proximity Limits for Automated Trading
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Solution Overview
Problem
In electronic trading environments, traders face challenges in quickly assimilating vast amounts of data and reacting swiftly to market dynamics, leading to a competitive disadvantage due to inadequate technological interfaces, which limits their ability to make favorable trades at optimal speeds and accuracy.
Innovation Solution
The implementation of a 'transaction toggler' system that sets proximity limits for quote submissions, preventing orders from being sent unless they are within defined limits of the inside market, thereby reducing unnecessary quotes and adhering to transaction quotas, and allowing for automated trading with enhanced precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traders manually monitor and react to market data, then they can make trading decisions, but they cannot react quickly enough to capture optimal trading opportunities
Solution Approach 1:
The system pre-calculates and stores proximity limits for quote submissions before trading occurs. By establishing these reference values in advance, the automated trading system can quickly compare current market prices against pre-set proximity thresholds without performing complex calculations in real-time, thereby achieving fast trading reactions while maintaining manageable system complexity
Solution Approach 2:
The trading system automatically monitors market data, calculates price deviations, and executes trades based on pre-defined proximity limits without requiring continuous manual intervention. This self-service capability enables the system to react instantly to market changes, significantly improving trading speed compared to manual monitoring while the automation handles the complexity internally
2Productivity
If traders submit all calculated quotes to the exchange, then they maximize trading opportunities, but they incur excessive transaction fees and may exceed exchange quotas
Solution Approach 1:
The system applies different filtering criteria to different quote submissions by comparing each potential quote against the pre-calculated proximity limit for that specific tradeable object. Only quotes that fall within the acceptable proximity range (i.e., meet the local quality threshold) are submitted to the exchange, while others are filtered out. This selective approach maintains productivity by capturing valid trading opportunities while reducing transaction fees by avoiding unnecessary quote submissions
Solution Approach 2:
Instead of submitting all possible quotes, the system deliberately limits quote submissions to only those that meet the proximity criteria. This partial action approach - submitting fewer, more targeted quotes rather than all potential quotes - reduces transaction fees and prevents exceeding exchange quotas while still capturing the most favorable trading opportunities
3Speed
If traders use automated trading systems without proximity limits, then they achieve fast execution, but they generate unnecessary quotes and exceed transaction quotas
Solution Approach 1:
The system pre-calculates and stores proximity limits for each tradeable object before automated trading begins. These pre-established reference values enable the automated system to quickly determine whether to submit or filter each quote by simple comparison against the stored limits, maintaining fast execution speed while ensuring reliable compliance with transaction quotas through intelligent filtering
Solution Approach 2:
The system continuously monitors quote submissions against the pre-defined proximity limits and adjusts filtering decisions in real-time. This feedback mechanism ensures that only quotes within acceptable parameters are submitted, maintaining both fast automated execution and reliable compliance with exchange transaction quotas by preventing excessive or unnecessary quote submissions
Data Source
AI summary
A method for submitting transactions from an automated trading tool to an electronic exchange. The method includes defining a proximity limit and automatically generating a transaction for a tradeable object. The method further includes applying the proximity limit to the transaction. When the transaction falls within the defined proximity limit, the transaction is submitted to the exchange. An apparatus and interface for transaction toggling based on proximity limits are also provided.