#Comprehensive Trading Strategy Enhancement Requirement Specification
1. Objective:
* To enhance the existing EA by integrating a comprehensive trading strategy including custom stop loss, trailing stop loss, take profit, and breakeven functionalities based on order block (OB) analysis for improved performance across various trading assets, including synthetic indices and specific instruments like XAUUSD, US30, and US100.
2. Overview:
* The current trading strategy lacks flexibility and robustness, especially when applied to different trading assets. The requirement is to revamp the strategy by incorporating custom stop loss, trailing stop loss, take profit, and breakeven functionalities based on OB analysis.
* The custom stop loss for sell orders should be positioned above the OB box, while for buy orders, it should be placed below the OB box.
* The modification should ensure that the trailing stop loss, take profit, and breakeven mechanisms adapt dynamically to market conditions across all traded assets.
3. Functional Requirements:
* Integrate a comprehensive trading strategy into the existing EA including custom stop loss, trailing stop loss, take profit, and breakeven functionalities.
* For sell orders:
* The stop loss should be set above the OB box.
* For buy orders:
* The stop loss should be set below the OB box.
* Implement trailing stop loss functionality to secure profits as the trade progresses.
* Incorporate take profit levels based on OB analysis.
* Integrate breakeven functionality to move the stop loss to the entry point after a predefined profit threshold is reached.
* Ensure uniform functionality across all synthetic indices and specific instruments like XAUUSD, US30, and US100.
* The modification should not interfere with other functionalities of the EA, ensuring seamless operation.
4. Technical Requirements:
* The developer should have expertise in MQL5 programming language.
* Utilize OB analysis techniques to determine the placement of stop loss, trailing stop loss, take profit, and breakeven levels.
* Implement robust error handling mechanisms to address any potential issues during execution.
5. Testing Requirements:
* Conduct thorough backtesting using historical data to validate the effectiveness of the comprehensive trading strategy.
* Perform forward testing in a demo environment to ensure proper functionality across different trading assets, including synthetic indices and specific instruments.
* Monitor live trading performance to fine-tune parameters and address any discrepancies.
6. Deliverables:
* Updated EA with the comprehensive trading strategy implemented according to the specifications outlined.
* Documentation detailing the changes made and instructions for integrating the modified EA into trading platforms.
7. Timeline:
* The developer should provide an estimated timeline for completing the modification and delivering the updated EA.
8. Acceptance Criteria:
* The modified EA should demonstrate improved performance with the comprehensive trading strategy compared to the previous version.
* The EA should operate without errors and effectively implement stop loss, trailing stop loss, take profit, and breakeven functionalities across all trade executions.

# Advanced Order Management with Neural Network Integration Requirement Specification
1. Objective:
* To enhance the order management system within the existing EA by integrating a neural network-based AI module to identify and retain the most promising pending order, along with the addition of a toggle function to enable/disable this feature.
2. Overview:
* The current EA lacks an advanced mechanism to identify and prioritize the most promising pending orders. Hence, the requirement is to augment the order management system by incorporating a neural network-based AI module.
* The AI module will evaluate pending orders and retain only the most promising one based on predefined criteria. Additionally, a toggle function will be introduced to enable or disable this feature as per user preference.
3. Functional Requirements:
* Integrate a neural network-based AI module within the EA to evaluate pending orders.
* The AI module should assess pending orders based on various factors such as market conditions, volatility, and trend analysis.
* Retain only the most promising pending order based on the evaluation conducted by the AI module.
* Implement a toggle function to enable or disable the AI-based order management feature.
* Ensure seamless integration with existing functionalities of the EA.
4. Technical Requirements:
* The developer should have expertise in MQL5 programming language and neural network integration.
* Utilize a neural network algorithm suitable for order evaluation and selection.
* Implement efficient communication between the AI module and the order management system.
5. Testing Requirements:
* Conduct thorough testing to validate the functionality and accuracy of the AI-based order management system.
* Perform backtesting using historical data to assess the performance of the AI module in identifying promising pending orders.
* Test the toggle function to ensure proper enablement and disablement of the AI-based feature.
6. Deliverables:
* Updated EA with the neural network-based AI module integrated into the order management system.
* Documentation detailing the implementation of the AI module, including instructions for toggling the feature on/off.
7. Timeline:
* The developer should provide an estimated timeline for completing the integration of the AI module and delivering the updated EA.
8. Acceptance Criteria:
* The modified EA should effectively utilize the neural network-based AI module to identify and retain the most promising pending order.
* The toggle function should allow users to enable or disable the AI-based order management feature as desired.
* The EA should operate without errors and seamlessly integrate the AI module into the existing system.

# Advanced Choch-Based Trade Execution with Scalping and AI Trend Detection Enhancement Requirement Specification
1. Objective:
* Enhance the trade execution strategy within the existing EA by integrating Choch confirmation signals for buy or sell orders. The EA should wait for the first break of structure (BOS) in the same direction before executing two orders with different exit strategies. Additionally, it should scalp with trailing stop loss on every subsequent BOS occurrence in the same direction until an opposite Choch signal is detected. Furthermore, integrate an AI model to determine if the market is trending and adjust the lot size accordingly.
2. Overview:
* The current EA lacks an advanced trade execution strategy that considers both Choch confirmation signals and market trends. The objective is to integrate Choch confirmation with BOS analysis and scalping methods while incorporating an AI model to detect market trends. This enhancement aims to improve trade accuracy and risk management by adjusting lot sizes based on market conditions.
3. Functional Requirements:
* Integrate Choch confirmation and BOS analysis into the trade execution strategy within the EA.
* Upon confirmation of a buy or sell signal by Choch:
* Wait for the occurrence of the first BOS in the same direction.
* Execute two orders simultaneously:
* One order with a quick trailing stop loss and take profit.
* Another order for immediate closure functionality.
* Implement scalping with trailing stop loss on subsequent BOS occurrences in the same direction until an opposite Choch signal is detected.
* Integrate an AI model to determine market trend conditions.
* Adjust lot sizes dynamically based on the trend identified by the AI model.
* Ensure seamless integration with existing functionalities of the EA.
4. Technical Requirements:
* The developer should have expertise in MQL5 programming language, Choch indicator integration, and AI model integration.
* Implement efficient communication between the Choch indicator, BOS analysis module, AI model, and trade execution logic.
* Develop a robust AI model that accurately detects market trends.
* Develop order execution logic to handle dynamic lot size adjustments based on trend analysis.
5. Testing Requirements:
* Conduct thorough testing to validate the accuracy and reliability of the enhanced trade execution strategy with Choch confirmation, BOS analysis, scalping methods, and AI trend detection.
* Perform backtesting using historical data to assess the performance of the integrated features under various market conditions.
* Test the dynamic lot size adjustment mechanism to ensure proper functionality based on trend analysis.
6. Deliverables:
* Updated EA with the advanced trade execution strategy, scalping enhancement, and AI trend detection implemented according to the specifications outlined.
* Documentation detailing the implementation of Choch confirmation, BOS analysis, scalping methods, AI trend detection, and dynamic lot size adjustment.
7. Timeline:
* The developer should provide an estimated timeline for completing the integration of Choch confirmation, BOS analysis, scalping enhancement, and AI trend detection and delivering the updated EA.
8. Acceptance Criteria:
* The modified EA should effectively utilize Choch confirmation, BOS analysis, scalping methods, and AI trend detection to execute trades with improved accuracy and risk management.
* Scalping methods should demonstrate increased quick profits or efficient recovery of losses on subsequent BOS occurrences until an opposite Choch signal is detected.
* The EA should dynamically adjust lot sizes based on trend analysis provided by the AI model.
* The EA should operate without errors and seamlessly integrate the advanced features into the existing system.
#: Enhanced Trade Execution with OB and Fair Value Gap (FVG) Integration Requirement Specification
1. Objective:
* Enhance the trade execution strategy within the existing EA by integrating Order Block (OB) and Fair Value Gap (FVG) analysis. Whenever an OB is formed and there are three consecutive FVGs in the same direction, execute three trades with trailing stop loss (SL). Each trade will have a different trailing SL strategy: one trailing to the next FVG, one starting trailing when the first FVG hits the trailing SL to the next FVG, and the third trade trailing with a fixed input trailing SL. Lot size should be adjustable via inputs, and include a function and a true/false toggle for user control.
2. Overview:
* This enhancement aims to capitalize on market opportunities identified through OB and FVG analysis. By executing multiple trades with distinct trailing SL strategies, the EA aims to maximize profit potential while minimizing risk. The inclusion of adjustable lot sizes and user-controlled functionality ensures flexibility and adaptability to varying trading preferences.
3. Functional Requirements:
* Integrate OB and FVG analysis into the trade execution strategy within the EA.
* Upon formation of an OB and identification of three consecutive FVGs in the same direction:
* Execute three trades simultaneously:
* First trade: Trailing SL to the next FVG in the same direction.
* Second trade: Start trailing when the first FVG hits the trailing SL to the next FVG in the same direction.
* Third trade: Trailing with a fixed input trailing SL.
* Implement adjustable lot sizes via user input.
* Provide a function to manage lot size calculations.
* Include a true/false toggle for user control over the execution of the enhanced strategy.
* Ensure seamless integration with existing functionalities of the EA.
4. Testing Requirements:
* Conduct thorough testing to validate the accuracy and reliability of the enhanced trade execution strategy with OB and FVG analysis.
* Perform backtesting using historical data to assess the performance of the integrated features under different market conditions.
* Test the adjustable lot size functionality and true/false toggle to ensure proper user control and flexibility.
5. Deliverables:
* Updated EA with the enhanced trade execution strategy implemented according to the specifications outlined.

* Documentation detailing the implementation of OB and FVG analysis, adjustable lot sizes, and user-controlled functionality.
6. Acceptance Criteria:
* The modified EA should effectively utilize OB and FVG analysis to execute multiple trades with distinct trailing SL strategies.
* Lot size management should be adjustable via user inputs and accurately calculated according to the specified function.
* The true/false toggle should enable or disable the execution of the enhanced strategy as desired by the user.
* The EA should operate without errors and seamlessly integrate the advanced features into the existing system.

#: Enhanced Trade Execution with OB Box Disappearance Recovery Mechanism Requirement Specification
1. Objective:
* Enhance the trade execution strategy within the existing EA to incorporate Order Block (OB) box disappearance analysis. When an OB box disappears, execute five opposite trades to capitalize on the momentum shift. Three of these trades should have a predefined take profit (TP) level to recover potential losses, while the remaining trades should trail with a stop loss (SL) to maximize profits.
2. Overview:
* This enhancement aims to take advantage of OB box disappearance by executing multiple opposite trades. By implementing a recovery mechanism with predefined TP levels and trailing SL for remaining trades, the EA seeks to recover potential losses and maximize profits during market reversals.
3. Functional Requirements:
* Integrate OB box disappearance analysis into the trade execution strategy within the EA.
* Upon detection of OB box disappearance:
* Execute five opposite trades simultaneously.
* Three trades with predefined TP levels to recover potential losses.
* Two trades to trail with a dynamic SL for maximizing profits.
* Implement adjustable lot sizes via user input.
* Provide a function to manage lot size calculations.
* Ensure seamless integration with existing functionalities of the EA.
4. Testing Requirements:
* Conduct thorough testing to validate the accuracy and reliability of the enhanced trade execution strategy with OB box disappearance analysis.
* Perform backtesting using historical data to assess the performance of the integrated features under different market conditions.
* Test the recovery mechanism to ensure proper execution of predefined TP levels and trailing SL.
5. Deliverables:
* Updated EA with the enhanced trade execution strategy implemented according to the specifications outlined.
* Documentation detailing the implementation of OB box disappearance analysis, recovery mechanism, adjustable lot sizes, and lot size management function.
6. Acceptance Criteria:
* The modified EA should effectively utilize OB box disappearance analysis to execute five opposite trades.
* Three trades should have predefined TP levels to recover potential losses.
* The remaining two trades should trail with a dynamic SL for maximizing profits.
* Lot size management should be adjustable via user inputs and accurately calculated according to the specified function.
* The EA should operate without errors and seamlessly integrate the advanced features into the existing system.