Overview
This prompt aims to create a sophisticated MQL5 Expert Advisor for forex scalping, enhancing trading efficiency through adaptive features. Forex traders and developers will benefit from a robust, customizable tool that optimizes performance while managing risk.
Prompt Overview
Purpose: This MQL5 Expert Advisor (EA) is designed for forex scalping, optimizing trades through adaptive features.
Audience: Targeted at forex traders seeking automated solutions for efficient and responsive scalping strategies.
Distinctive Feature: It dynamically adjusts trading parameters based on real-time market conditions, enhancing performance and risk management.
Outcome: Users can expect improved scalping results with minimized risks through adaptive trading mechanisms and robust error handling.
Quick Specs
- Media: Text
- Use case: Generation
- Industry: Consulting (Management, Strategy), Development Tools & DevOps, Productivity & Workflow
- Techniques: Role/Persona Prompting, Self-Critique / Reflection, Structured Output
- Models: Claude 3.5 Sonnet, Gemini 2.0 Flash, GPT-4o, Llama 3.1 70B
- Estimated time: 5-10 minutes
- Skill level: Beginner
Variables to Fill
No inputs required — just copy and use the prompt.
Example Variables Block
No example values needed for this prompt.
The Prompt
Create a comprehensive MQL5 Expert Advisor (EA) script tailored for forex scalping that incorporates adaptive trading features.
The EA should dynamically adjust its trading parameters in response to evolving market conditions to optimize scalping performance. This includes fast, frequent trade entries and the ability to modify stop-loss, take-profit, and lot size based on real-time volatility and liquidity metrics.
**Key Requirements:**
– Implement rapid, frequent trade entries suitable for scalping.
– Dynamically adjust stop-loss, take-profit, and lot sizes according to current market volatility and liquidity.
– Include configurable input parameters allowing users to customize key aspects such as:
– Trade volume
– Stop-loss distance
– Take-profit distance
– Maximum spread
– Adaptive coefficients
– Integrate risk management features including:
– Maximum spread filters
– Limits on trade frequency to prevent overtrading
– Provide thorough code comments explaining the logic, especially the adaptive mechanisms and risk controls.
– Ensure the EA gracefully handles errors and is safe for live trading environments.
**# Steps**
1. Define input parameters for scalping strategy variables:
– Trade volume
– Base stop-loss
– Take-profit distances
– Maximum acceptable spread
– Adaptive coefficients
– Risk limits
2. Monitor current market data including:
– Spread measurement
– Volatility indicators (e.g., ATR or similar) to gauge market conditions.
3. Implement logic that recalculates stop-loss and take-profit distances according to the current volatility measures using adaptive coefficients.
4. Develop entry and exit rules optimized for scalping based on indicators or price action.
5. Enforce risk management rules such as:
– Filtering out trades when spread exceeds maximum allowed
– Limiting the frequency of trades within a given time period.
6. Test the EA against sample or historical market data to validate that the adaptive features operate correctly and improve scalping performance.
**# Output Format**
Provide the complete MQL5 Expert Advisor (.mq5) source code file including:
– A header comment block that explains:
– The EA’s purpose
– Usage instructions
– Input parameters
– A summary of the adaptive scalping strategy.
– Well-structured and properly indented code.
– Thorough inline comments throughout the code explaining the strategy details and adaptive logic.
**# Notes**
– Prioritize safety and robustness to make the EA suitable for live trading.
– The adaptive logic must enhance performance by reacting to market volatility and liquidity changes while appropriately managing risk.
**Example Snippet for Clarity:**
“`mql5
// Input parameters
input double LotSize = 0.1;
input int BaseStopLoss = 10; // in points
…
// Adaptive stop-loss calculation
StopLoss = BaseStopLoss * VolatilityCoefficient;
“`
Deliver the final output as a single `.mq5` file content with all the requested components and clear, well-documented code.
Screenshot Examples
How to Use This Prompt
- Copy the prompt provided for MQL5 Expert Advisor creation.
- Paste the prompt into your preferred coding environment.
- Modify any specific parameters as needed for your trading strategy.
- Run the script to generate the MQL5 EA code.
- Review the generated code for clarity and completeness.
- Test the EA in a demo account before live trading.
Tips for Best Results
- Define Inputs: Set up customizable parameters for trade volume, stop-loss, take-profit, maximum spread, and adaptive coefficients to tailor the EA to user preferences.
- Market Monitoring: Continuously assess current market conditions, including spread and volatility indicators like ATR, to inform trading decisions.
- Adaptive Logic: Implement dynamic calculations for stop-loss and take-profit based on real-time volatility, ensuring the EA adapts to changing market conditions.
- Risk Management: Enforce rules to limit trading frequency and filter out trades when spread exceeds the maximum allowed, safeguarding against overtrading and excessive risk.
FAQ
- What is an MQL5 Expert Advisor?
An MQL5 Expert Advisor is an automated trading program designed for the MetaTrader 5 platform. - How does the EA adjust trading parameters?
The EA dynamically adjusts parameters based on real-time market volatility and liquidity metrics. - What features enhance risk management in the EA?
Features include maximum spread filters and limits on trade frequency to prevent overtrading. - Why is thorough code commenting important?
Code comments explain the logic and adaptive mechanisms, aiding in future maintenance and understanding.
Compliance and Best Practices
- Best Practice: Review AI output for accuracy and relevance before use.
- Privacy: Avoid sharing personal, financial, or confidential data in prompts.
- Platform Policy: Your use of AI tools must comply with their terms and your local laws.
Revision History
- Version 1.0 (February 2026): Initial release.
