Overview
This prompt aims to guide the creation of an adaptive MQL5 Expert Advisor for forex scalping. Programmers and traders will benefit from a structured approach to developing a robust trading tool.
Prompt Overview
Purpose: This EA aims to optimize scalping strategies in the forex market through adaptive trading features.
Audience: Designed for forex traders seeking automated solutions to enhance their scalping performance and risk management.
Distinctive Feature: The EA dynamically adjusts key parameters based on real-time market conditions, ensuring optimal trading decisions.
Outcome: Traders can expect improved execution speed and risk controls, leading to potentially higher profitability in scalping.
Quick Specs
- Media: Text
- Use case: Generation
- Industry: Consulting (Management, Strategy), Creative Writing & Storytelling, Development Tools & DevOps
- 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 designed for scalping in the forex market.
Incorporate adaptive trading features that dynamically adjust key parameters in response to real-time market conditions to optimize performance.
The EA must:
– Execute fast, frequent trades characteristic of scalping strategies.
– Dynamically adapt stop-loss, take-profit, and lot size based on measured market volatility and liquidity.
– Provide configurable user input parameters for scalping controls and adaptive coefficients.
– Implement robust risk management measures, including filters for maximum spread and limits on trade frequency to prevent overtrading.
– Include detailed inline comments explaining all logic, especially the adaptive mechanisms and risk controls.
# Steps
1. Define Input Parameters
Include but are not limited to:
– Base trade volume (lot size)
– Base stop-loss and take-profit distances (in points)
– Maximum allowable spread
– Coefficients to scale parameters adaptively
2. Monitor Market Conditions
Continuously track:
– Current spread
– Volatility indicators (e.g., ATR or standard deviation)
3. Calculate Adaptive Levels
– Compute adaptive stop-loss and take-profit levels, scaling them according to volatility metrics.
4. Implement Entry and Exit Logic
– Optimize for scalping using:
– Technical indicators
– Price action
– A simple approach suitable for scalping
5. Enforce Risk Management
– Reject trades when:
– Spread exceeds the maximum threshold
– Trade frequency exceeds configured limits
6. Include Error Handling
– Implement checks for order execution and other operational safety measures.
7. Test and Validate
– Validate adaptive behaviors with representative market data.
# Output Format
Provide the complete MQL5 EA source code as one file with:
– Header Comments
Detailing the EA’s purpose, usage instructions, input parameters, and a summary of the adaptive scalping strategy.
– Code Structure
Ensure the code is well-structured, properly indented, and readable.
– Inline Comments
Thoroughly clarify implementation steps, formulas, and logic.
# Examples
“`mql5
// Input parameters
input double LotSize = 0.1;
input int BaseStopLoss = 10; // in points
…
// Dynamically adjust StopLoss based on current volatility
StopLoss = BaseStopLoss * VolatilityCoefficient;
“`
# Notes
– The EA should be designed for robustness, handling potential errors gracefully to ensure safety in live trading.
– Adaptations should enhance scalping effectiveness while maintaining strict risk controls.
– Preserve code clarity and maintainability with comprehensive documentation throughout.
Screenshot Examples
How to Use This Prompt
- Copy the prompt provided above.
- Paste the prompt into your coding environment.
- Follow the outlined steps to create the EA script.
- Ensure to include detailed inline comments in your code.
- Test the EA with historical market data for validation.
- Review and refine the code for clarity and performance.
Tips for Best Results
- Define Input Parameters: Set up user-friendly inputs for lot size, stop-loss, take-profit, and spread limits to ensure flexibility in trading.
- Monitor Market Conditions: Continuously assess current spread and volatility indicators like ATR to adapt trading strategies effectively.
- Implement Entry and Exit Logic: Use technical indicators and price action for quick trade decisions, optimizing for rapid execution typical of scalping.
- Enforce Risk Management: Establish strict rules to reject trades based on spread limits and frequency to prevent overtrading and protect capital.
FAQ
- What is an Expert Advisor in MQL5?
An Expert Advisor is an automated trading script that executes trades based on predefined strategies in MetaTrader 5. - How does scalping differ from other trading strategies?
Scalping involves making rapid trades to profit from small price movements, often holding positions for a very short time. - What is the purpose of adaptive trading features?
Adaptive trading features adjust parameters dynamically to optimize performance based on real-time market conditions. - Why is risk management crucial in scalping?
Risk management prevents significant losses by setting limits on trade frequency and maximum spread, ensuring safer trading.
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.
