Linked-Account Trading System Algorithmic Override for Market Trends
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Solution Overview
Problem
Existing automated trading systems lack the ability to detect when a successful 'master trader' may overlook market trends or be unavailable, leading to potential losses for novice traders who automatically follow their trades.
Innovation Solution
A Linked-Account Trading System (LATS) that uses data mining and algorithmic analysis to evaluate trades performed by 'master traders' and override or suggest alternative trades based on market conditions, ensuring profitable trading decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic copying of master trader trades is implemented, then novice traders can follow successful trading patterns, but losses occur when master traders overlook market trends or are unavailable
Solution Approach 1:
The patent introduces an intermediary algorithmic system that sits between the master trader's automated signals and the novice trader's execution. This intermediary layer analyzes market conditions, validates trade signals, and can override master trader decisions when market trends suggest otherwise, thereby maintaining automation efficiency while improving reliability through an intermediate validation step
Solution Approach 2:
The system implements feedback mechanisms where trading outcomes and market conditions are continuously analyzed to adjust and validate master trader signals. The system learns from past performance and market responses, dynamically adjusting the level of automation and override thresholds based on current market conditions and master trader performance metrics
2Ease of operation
If blind following of master trader actions is used, then ease of operation for novice traders is improved, but ability to detect and respond to sudden market changes deteriorates
Solution Approach 1:
The system dynamically adjusts the level of automation and override behavior based on current market conditions and master trader performance. When market volatility increases or master trader performance deteriorates, the system automatically reduces blind following and increases algorithmic validation, thereby maintaining ease of operation while improving adaptability to changing market conditions
Solution Approach 2:
An intermediary analytical layer processes master trader signals through multiple validation checks including market condition assessment, trend analysis, and performance monitoring. This intermediary system maintains simple user interaction while incorporating complex adaptive responses to market changes and master trader performance variations
3Reliability
If algorithmic validation of master trader trades is implemented, then trading reliability is improved, but system complexity increases
Solution Approach 1:
The algorithmic validation system is segmented into distinct functional modules: market condition analysis, signal validation, performance monitoring, and override decision-making. Each module handles a specific aspect of validation, making the overall complex system manageable through modular design while maintaining high reliability through comprehensive validation
Data Source
AI summary
The present invention includes methods, apparatuses, systems, platforms and associated software applications for facilitating semi-automatic or automatic trading of Financial Assets based on the past or present trading activities of other traders (e.g. “Social Trading”, optionally implemented as a “Linked Account Trading System”).