Dynamic Stop Loss Order Manager for Financial Trading
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Solution Overview
Problem
Stop loss orders in financial investing are static and require manual updates, limiting their effectiveness in fluctuating markets, and have a fixed duration, necessitating a system to automatically update these orders based on predefined conditions.
Innovation Solution
A computer-based system and method that automatically updates stop loss orders by monitoring stock prices and triggering new orders when predetermined conditions are met, such as price increases or expiration of existing orders, using a stop loss order manager that communicates with financial institutions via established protocols like HBCI or OFX.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a stop loss order is set at a fixed price level, then it provides simple loss protection, but it cannot adapt to rising stock prices and requires manual updates
Solution Approach 1:
The patent implements a dynamic stop loss order system that automatically adjusts the stop price based on predefined conditions such as stock price movements or time-based triggers. The system transitions from a static fixed-price stop loss order to a dynamic order that adapts to market conditions without requiring manual intervention, thereby resolving the contradiction between adaptability and ease of operation.
Solution Approach 2:
The system performs self-service by automatically monitoring stock prices and triggering updates to stop loss orders based on predefined conditions. The computer-based system independently manages the entire process of detecting price changes, calculating new stop prices, and executing order updates without requiring user action, thus eliminating the need for manual updates while maintaining adaptability.
2Reliability
If a stop loss order has a fixed duration, then it simplifies order management, but it expires and becomes ineffective after the period elapses
Solution Approach 1:
The patent ensures continuous loss protection by implementing automatic renewal of stop loss orders based on predefined conditions. Instead of allowing the order to expire after a fixed duration, the system continuously monitors and updates the order validity, ensuring that loss protection remains active as long as specified conditions are met, thereby eliminating the contradiction between simplified management and continuous effectiveness.
Solution Approach 2:
The system performs preliminary actions by pre-setting automatic update conditions and triggers that activate before the stop loss order would otherwise become ineffective. When predefined conditions are met (such as time-based triggers or price thresholds), the system proactively updates the order validity to extend protection, preventing expiration and maintaining continuous reliability without requiring manual intervention.
3Reliability
If a stop loss order is triggered by a short-term price fluctuation, then it provides responsive protection, but it may activate unnecessarily and result in selling at a loss
Solution Approach 1:
The patent modifies the parameters of stop loss orders by introducing dynamic adjustment mechanisms that consider multiple factors such as stock volatility, price trends, and predefined thresholds. Instead of using a fixed static stop price that is easily triggered by minor fluctuations, the system adjusts the stop price based on changing market conditions, thereby reducing false triggers while maintaining responsive protection and improving the accuracy of loss prevention.
Data Source
AI summary
A method and system are disclosed for automatically updating individual conditions associated with a pending conditional financial transaction. As the price of a financial instrument varies, a pending conditional financial transaction may be issued to cause the financial instrument to be bought or sold whenever its price satisfies certain specified conditions. In the field of common stock transactions, the disclosed method automatically updates a pending conditional sell order, called a stop loss order, upon the occurrence of several conditions, such as when the current stop loss order has expired, when the current price of one share of the stock has risen a predetermined percentage above the current stop loss value, or when the total value of all of the shares of the stock has increased beyond a predetermined percentage limit. When a stop loss order is updated, a new stop loss value is calculated based upon the current price and a percentage leeway in the price. The new stop loss order is then transmitted to an appropriate financial institution.